Russian defense missiles intercepted U.S.-made missiles that Ukraine fired at Crimea. The midair explosions from the two groups of missiles colliding hurled shrapnel down onto a packed beach, killing five Russian civilians and injuring more.
The Ukrainians almost certainly weren’t targeting civilians, and their missiles were probably headed for Russian warships or bases. Nevertheless, Russia has sworn revenge. https://www.bbc.com/news/articles/c6pppr719rlo
Russia now has three captured M1 Abrams tanks. Each one is damaged in a different way. I bet their working parts could be combined to make one working tank. https://youtu.be/yBhYcMb8Tng?si=kYf17lu3a_eyjV2e
The carousel autoloader found in Soviet and Russian tanks isn’t necessarily a fatal design flaw. If the Russians copied the gunpowder from the advanced ammunition they found in the captured German Leopard 2 tank, then their own tanks would become much less likely to blow up thanks to their own ammo cooking off. https://youtu.be/6A4CqxGMBQw?si=DUc_wyPlbWI7QgHv
The third variant of the British WWII Sten sub machine gun was one of the simplest and cheapest guns ever made. It’s interesting to see how those factors hurt its reliability and longevity, even compared to other Sten variants. The Mark III was truly a throwaway weapon. https://youtu.be/W0qlOOE8G_k?si=LNbw1XOwYr5urr5A
The man who invented a small add-on device that turns any Glock into a full-auto weapon is a mechanical genius from Venezuela. He created the first device in the late 1980s while he was still a teenager and working at a gun shop. Only in recent years has the device started becoming common among criminals. https://www.yahoo.com/gma/feel-terrified-inventor-glock-switch-090429902.html
Nvidia briefly became the world’s most valuable company, with a market cap over $3.4 trillion. It was worth $418 billion just two years ago. https://www.bbc.com/news/articles/cyrr40x0z2mo
Without using the term “singularity,” math whiz and high-ranking OpenAI staff member “Leopold Aschenbrenner” published a paper claiming that milestone is upon us. Radical changes thanks to AI will happen in just the next ten years. https://situational-awareness.ai/
‘In February, AI-based forgery reached a watershed moment–the OpenAI research company announced GPT-2, an AI generator of text so seemingly authentic that they deemed it too dangerous to release publicly for fears of misuse. Sample paragraphs generated by GPT-2 are a chilling facsimile of human- authored text. Unfortunately, even more powerful tools are sure to follow and be deployed by rogue actors.’ https://hbr.org/2019/03/how-will-we-prevent-ai-based-forgery
According to the 1999 movie The Thirteenth Floor, by June 21, 2024 we were supposed to have had AGI, full immersion virtual reality like The Matrix, lifelike digital worlds, and really cool-looking glass skyscrapers in L.A. https://youtu.be/UCsR9iPvX0I?si=iLM31LuQMMcC5Q1u
This prediction was accurate:
“I think Joe Biden will run again in 2024 and I think he will run against someone with the last name ‘Trump.’ I do not know whether that is Trump or Trump Jr…”
There’s a reason why the classic Spielberg movies have slightly “off” colors that make them look old fashioned in a subtle way: the film stock used back then had a limited color range. It would be interesting to use AI to reverse those distortions and create rereleases of those films that are true to the actual colors on set. https://youtu.be/kQmIPWK8aXc?si=7L2nPuUZ9aaVU_EM
Some forest fires are actually caused by bacteria. Just like a human-made compost pile, underground peat deposits can get extremely hot due to the metabolisms of bacteria that inhabit and eat them. Furthermore, sudden jumps in surface temperature caused by heat waves can cause the bacteria to raise the peat temperature by even more. The result is spontaneous combustion. https://theconversation.com/zombie-fires-in-the-arctic-smoulder-underground-and-refuse-to-die-whats-causing-them-221945
‘Breeders also value posture, hoof solidity, docility, maternal ability and beauty. Those eager to level up their livestock’s genetics pay around $250,000 for an opportunity to collect Viatina-19’s egg cells.
And there are other ways the Drake Equation could be tweaked to result in humans being the only intelligent species in the galaxy. ‘According to Stern and Gerya, it’s likely quite rare for planets to have both continents and oceans along with long-term plate tectonics, and this possibility needs to be factored into the Drake Equation.’ https://gizmodo.com/drake-equation-update-fermi-paradox-intelligent-life-1851503974
Researchers have discovered a gene that causes obesity in some people. Genetic engineering and new medical interventions will end the global obesity problem in the future. The average person will be taller, thinner, stronger, and healthier. https://www.cnn.com/2024/06/20/health/obesity-genetic-wellness/index.html
In spite of these heavy losses, Russia has so many weapons left over from the Soviet era that it won’t run out of them, even at current loss rates, for two or three years. As the shortages near the critical threshold, I predict Russia will make up for it by starting to import old Soviet and Soviet-compatible weapons from friendly countries like North Korea. https://www.iiss.org/online-analysis/military-balance/2024/02/equipment-losses-in-russias-war-on-ukraine-mount/
Missiles and artillery fired from within Russia have been hitting targets inside of Ukraine. The Ukrainians have Western-made weapons with the ranges to destroy those Russian sites, but donors like the U.S. refuse to let Ukraine use them against Russian territory for fear it will lead to an expansion of the fighting. There’s a growing consensus among Western leaders that they should ease the rule and let Ukraine use their weapons to attack Russian soil. Putin is warning that this would lead to “serious consequences.”
President Biden has said he will withhold some military aid to Israel if it sends ground troops into the last Palestinian-controlled city in Gaza, Rafah. There are widely held fears that such an operation would kill large numbers of civilians. https://www.cnn.com/2024/05/08/politics/joe-biden-interview-cnntv/index.html
Israeli troops seized control of Gaza’s land border with Egypt. They claimed it was necessary to shut down secret tunnels that were being used to smuggle things across the border. https://www.bbc.com/news/articles/c1994g22ve9o
Peter Zeihan’s dour 2019 predictions about the future of China’s economy have proven accurate:
“So I would argue that fixing this [by] deflating the bubble, I think that I think that ship sailed 20 years ago, and so the question becomes ‘is this triggering going to be internal or external?’ Let’s start with internal. Demographically, we are going to be seeing a contraction in Chinese domestic economic activity simply because of demographics within the next five years.”
An economic “contraction” doesn’t necessarily mean negative growth; it can mean a sharp decrease in the positive growth rate. For example, if my personal income rises by $5,000 per year, but then one year the growth rate shifts down to only a $1,000 increase each year, in economic terms I’ve experienced a contraction. China’s GDP growth rate and domestic spending growth rate are both way down from where they were in 2019 when Zeihan made his prediction.
OpenAI unveiled it’s latest and most advanced LLM, “GPT-4o”. At the demo, the machine was able to carry on a conversation with a human presenter in a totally natural and intelligent manner. https://www.youtube.com/live/DQacCB9tDaw?si=GPXXv9mHoh5NcA1d
Actress Scarlett Johansson claimed OpenAI had cloned her voice without her permission to synthesize GPT-4o’s voice, and quickly sued the company. Though they say they didn’t break the law and used a different human to create the voice, OpenAI nonetheless disabled the voice feature indefinitely. Scarlett Johansson famously voiced “Samantha,” a sentient AI character in the 2013 movie Her. https://www.foxbusiness.com/entertainment/openai-accused-mimicking-scarlett-johansson-tech-company-pauses-chatgpt-voice
GPT-4 has passed the five-minute Turing Test. “GPT-4 was judged to be a human 54% of the time, outperforming ELIZA (22%) but lagging behind actual humans (67%).” https://arxiv.org/abs/2405.08007
A large number of AI safety staff quit OpenAI nearly at once. While NDA’s prevent most of them from talking about it, people in the know say they were unhappy with Sam Altman’s dishonesty and lack of commitment to their mission. https://www.lesswrong.com/posts/ASzyQrpGQsj7Moijk/openai-exodus
‘AI might wreak havoc on traditional studio moviemaking, with its massive budgets and complex technical requirements. But in the process, it is likely to make high-quality filmmaking much less expensive and logistically arduous, empowering smaller, nimbler, and less conventional productions made by outsiders with few or no connections to the studio system.’ https://reason.com/2024/05/25/ai-is-coming-for-hollywoods-jobs/
An important lesson from the last few years is that job automation will sweep across the workforce in unexpected ways. For example, no one believed jobs involving artistry would be automated before jobs involving simple physical labor, like flipping burgers. It might prove more profitable for companies to replace their leaders with AIs sooner than they replace their assembly line workers.
Regardless, keep in mind there’s probably no limit to how far job automation can go. In 50 years, if you’re part of that lucky 1% of the adult human population that still has a “real job,” don’t gloat at the unemployed masses because it will only be a few years before your position is also taken by a machine. https://www.nytimes.com/2024/05/28/technology/ai-chief-executives.html
Here’s a very fascinating case study of a young Mexican man who was born deaf and whose parents never taught him sign language. As a result, he never developed any kind of linguistic ability and had a totally different way of thinking (he lacked “symbolic thinking” and couldn’t conceive of attaching names to objects) and dealing with people. After illegally immigrating to the U.S., a linguist stumbled upon him and slowly taught him sign language.
‘As part of her discussion of the human rights of the deaf, Schaller makes the argument, familiar also from Benjamin Whorf (and also brought up in the commentary on Henrich’s WEIRD article) that language diversity itself is an insight into human cognitive diversity: ‘Every language is an outcome of how the human brain works. We don’t know how much we can do with our one brain, even, and each language has used the brain in a slightly different way.’ However, there’s an even deeper and more profound cognitive diversity in her discussion of Ildefonso: the possibility of language-less human thought, something that theorists like Merlin Donald have attempted to discuss.’ https://neuroanthropology.net/2010/07/21/life-without-language/
Something that makes no sense in Star Wars and many other space movies is the inability of spacecraft to quickly point in any direction to bring their guns to bear on the enemy. Usually there’s a good guy fighter plane being pursued by a bad guy fighter plane, and the good guy yells out “I can’t see him because he’s behind me! Help!”
In reality, since there’s no air resistance to deal with in space, the good guy could instantly flip his fighter plane around and shoot the bad guy. You see two examples of that in the movie “Oblivion.” https://youtu.be/zRvXcyznOsQ?si=86sSlxUQHrvnw4Nc
In 1999, the Space Shuttle Columbia nearly suffered a catastrophe that would have forced it to attempt an emergency landing back on Earth right after it lifted off. https://youtu.be/qiJMdfj9NmI?si=g-PHc0zHoyTXtF0M
‘Overall, this is very impressive performance, although I should note that it is not up to the various headlines of “AlphaFold 3 Predicts All The Molecules of Life!” and so on. In almost every area it’s a significant improvement over anything that we’ve had before – including previous AlphaFold versions – and in some of them (protein-antibody and protein-RNA) it appears to be (for now!) the only game in town, even though it’s not an infallible oracle in those cases by any means.’ https://www.science.org/content/blog-post/alphafold-3-debuts
‘These results strongly suggest Neanderthal-derived DNA is playing a significant role in autism susceptibility across major populations in the United States.’ https://www.nature.com/articles/s41380-024-02593-7
There are many types of mental disability and they have many different causes. Among them are mutations to single genes. A new gene that causes it, RNU4-2, has just been discovered. 0.41% of mentally disabled people have the condition due to it.
Better knowledge of the human genome and cheaper prenatal DNA screening will let us reduce the population prevalence of mental and physical disorders in the future. https://pubmed.ncbi.nlm.nih.gov/38645094/
Sony has created a tiny robot that can do precise microsurgeries. In this video, it makes an incision in a corn kernel and then stitches it up. https://youtu.be/bgRAkBNFMHk?si=LmjjLDkwgHp4zbgp
My last blog entry, “What my broken down car taught me about the future,” has compelled me to write a new essay that shows how some of its insights will apply more generally in the future, and not just to cars and related industries. Due to several factors, manufactured objects will generally last much longer in the future, and sudden catastrophic failures of things will be much less common.
Things will be made of better materials
Better computers that can more accurately mimic the atomic forces and chemical reactions will be able to run simulations that lead to the discovery of new types of alloys and molecules. Those same computers will, perhaps with the aid of industrial and lab robots, also find the best ways to synthesize the new materials. Finally, the use of machine labor at every step of this process will basically eliminate labor costs, allowing the materials to be produced at lower cost than they could be with human workers today.
This means in the future we will have new kinds of metal alloys, polymers and crystals that have physical properties superior to whatever counterparts we have today. Think of a bulletproof vest that is more flexible and only half as heavy as Kevlar, or a wrench that is lighter than a common steel wrench but just as tough. And since machines will make all of these materials at lower cost, more people will be able to afford them and they will be more common. For example, if carbon fiber were cheaper, more cars would incorporate them into their bodies, lowering their weight.
Things will be designed better
In my review of the movie Starship Troopers, I discussed why the fearsome assault rifle used by the human soldiers was flawed, and why it would never come into existence in the future:
It wouldn’t make sense for people in the future to abandon the principles of good engineering by making highly inefficient guns like the Morita. To the contrary, future guns will, just like every other type of manufactured object, be even more highly optimized for their functions thanks to AI: Just create a computer simulation that exactly duplicates conditions in the real world (e.g. – gravity, all laws of physics, air pressure, physical characteristics of all metals and plastics the device could be built from), let “AI engineers” experiment with all possible designs, and then see which ones come out on top after a few billion simulation cycles. I strongly suspect the winners will be very similar to guns we’ve already built, but sleeker and lighter thanks to the deletion of unnecessary mass and to the use of materials with better strength-to-weight ratios.
That same computer simulation process will be used to design all other types of manufactured objects in the future. Again, as computation gets cheaper, companies will be able to run simulations to find the optimal designs for every kind of object. Someday, even cheap, common objects like doorknobs will be the products of billions of computer simulations that stumbled on the optimal size and arrangement of components through trial-and-error experiments with slightly different combinations.
As a result, manufactured objects will be more efficient and robust than today, but most won’t look different enough for humans to tell they’re different from today’s versions of them. The difference will probably be more apparent in complex machines like cars.
Things will be made better
Even if a piece of technology is well-designed and made of quality materials, it can still be unreliable if its parts are not manufactured properly or if its parts aren’t put together the right way. Human factory workers cause these problems because of poor training, tiredness, intoxication, incompetence, or deliberate sabotage. It goes without saying that advanced robots will greatly improve the quality and consistency of factory-produced goods, as they will never be affected by fatigue or bad moods, and will follow their instructions with perfect accuracy and precision. As factories become more automated, defective products will become less common.
Things will be used more carefully
As I noted in the essay about cars, most cars have their lifespans cut prematurely short by the carelessness of their owners. Gunning the engine will wear it out sooner, speeding over potholes will destroy shocks, and generally reckless driving will raise the odds of a car accident that is so bad it totals the vehicle.
Every type of manufactured object has engineering limits beyond which it can’t be pushed without risking damage. Humans lack the patience and intelligence to learn what those limits are for every piece of technology we interact with, and we lack the fine senses to always stay below those limits. While trying to unscrew the rusted bolt, you WILL put so much torque on the wrench that you snap it.
On the other hand, machines will have the cognitive capacity to quickly learn what the engineering limits are for every object they encounter, the patience to use them without exceeding those limits, and the sensors (tactile, visual, auditory) to watch what it’s doing and how much force it is applying. No autonomous car will ever overstress its own engine or drive over a pothole so fast it breaks part of the suspension system, and no robot mechanic will ever snap its own wrench trying to unscrew a stuck bolt. As a consequence, the longevity of every type of manufactured object will increase, in some cases astonishingly. The average lifespan of a passenger vehicle could exceed 30 years, and a simple object like a knife might stay in use for 100 years (until it had been worn down by so many resharpenings that it was too thin to withstand any more use).
Things will be maintained better
Even if you have a piece of quality technology and use it carefully, it will still need periodic maintenance. A Mercedes-Benz 300 D, perhaps the most reliable car ever made, still needs oil changes. Your refrigerator’s coils need to be brushed clean of debris periodically. You hand tools need to be checked for rust and hairline cracks and sprayed down with some kind of moisture protectant. All of your smoke alarms must be tested for function once a month. It goes on and on. If you own even a small number of possessions, it’s amazing to learn how many different tasks you SHOULD be undertaking regularly to keep them maintained.
Needless to say, few people take proper care of their things. Usually they didn’t read the user manual, memorize the section on maintenance, set automatic digital reminders to themselves to perform the tasks, and then rigidly follow them for the rest of their lives. So sue them, they’re only humans with imperfect memories, limited personal time, and limited self-discipline.
Once advanced robots are ubiquitous, these human-specific factors will disappear. Your robot butler actually WOULD know what kind of upkeep every item in your house needed, and it would do it according to schedule. Operating around the clock (they won’t need to sleep and could plug themselves into wall outlets with extension cords for indefinite duration power), a robot butler could do an enormous amount of maintenance work for you and could devote itself to truly minuscule tasks like hunting down and finding tiny problems you never would have known existed.
I’m reminded of the time I noticed a strange sound in the bathroom of my house that I seldom use. It was the toilet, and the water was flowing through it continuously, making a loud trickling sound. After removing the lid, I immediately saw the problem existed because the flush lever–which was made of plastic–had snapped in half, causing the flapper to jam in the open position.
Upon close inspection I noticed something else wrong: The two, metal bolts that held the toilet tank to the bowl were so badly rusted that they had practically disintegrated! In fact, after merely scraping the left bolt with my fingernail, it fell apart into an inky cloud of rust that spread through the water. It was a small miracle that the heavy tank hadn’t slid off already and fallen to the floor (this would have flooded the house if it had happened when I wasn’t home).
I went to the store, bought new bolts, a new flapper, and a new flush lever, and installed them. The toilet works like new, and its two halves are tightly joined again as they should be. Inspecting the inside of your toilet tank is another one of those things every homeowner should probably be doing once every X years, but of course no one does, and as a result, some number of tragic people suffer the disaster I described above. However, thanks to house robots, it will stop. And of course the superior maintenance practices will not be confined to households. All kinds of businesses and buildings will have robots that do the same work for them.
People also commonly skip maintenance because they lack the money for it. As I wrote in my essay about cars and the car industry, this will be less of an issue in the future thanks to robots doing work for free. Without human labor to pay for, the costs of all types of services, including maintenance, will drop.
Problems will be found earlier
A beneficial side effect of more frequent preventative maintenance will be the discovery of problems earlier. Putting aside jokes about scams, consider how common it is for mechanics to find unrelated problems in cars while doing an oil change or some other routine procedure. Because components often gracefully, rather than abruptly, fail, machines like cars can keep working even with a part that is wearing out (e.g. – cracked, leaking, bent). The machine’s performance might not even seem different to the operator. That’s why the only way to find many problems with manufactured objects is to go out of your way to look for them, even if nothing seems wrong.
Again, once robots are ubiquitous and put in charge of common tasks, they’ll do things humans lack the time, discipline, and training to do, like inspecting objects for faults. Once they are doing that, problems will be found and fixed earlier, making sudden, catastrophic failures like your car breaking down on the highway at night less frequent.
Repairs will be better
Just because you find a problem before it becomes critical and fix it doesn’t mean the story is over. Some catastrophic failures of machines happen because they are not repaired properly. As robots take over such tasks, the quality and consistency of this type of work will improve, meaning a repair job will be likelier to solve a problem for good.
Machines will be better-informed consumers, which will drive out bad products
My previous blog essay was about my quest to find a replacement for my old car, which had broken down. It was a 2005 Chevrolet Cobalt, which I got new that same year as a birthday present. Though I’d come to love that car over the next 19 years, I had to admit it wasn’t the best in its class. I drove it off the lot without realizing the air conditioner was broken and had to return a few days later to have it fixed. After a handful of years, one of the wheel bearings failed, which was unusually early and thankfully covered by the warranty. My Cobalt was recalled several times to fix different problems, most notoriously the ignition switch, which could twist itself to the “Off” position while the car was driving, suddenly locking the steering wheel in one position and leaving the driver unaware of why it happened (this caused 13 deaths and cost GM a $900 million class-action lawsuit, plus much more to fix millions of defective cars). Whenever I rented cars during vacations, I almost always found their steering and suspension systems to be more crisp and comfortable than my Cobalt, which felt “mushy” by comparison.
The 2005 Honda Civic was a direct competitor to my Cobalt, and was simply superior: the Civic had better fuel economy, a higher safety rating, better build quality, and the same amount of internal space. Since the Civics broke down less and used less gas, they were cheaper to own than Cobalts. When new, the Civic was actually cheaper, but today, used 2005 Civics actually sell for MORE than 2005 Cobalts! With all that in mind, why were any Chevy Cobalts bought at all? I think the answers include brand loyalty, the bogus economics of trading an old car for a new one, aesthetics (some people liked the look of the Cobalt more), but most of all, a failure to do adequate research. Figuring out what your actual vehicle needs are and then finding the best model of that type of vehicle requires a lot of thought and time spent reading and taking notes. Most people lack the time and skills for that, and consequently buy suboptimal cars.
Once again, intelligent machines won’t be bound by these limitations. Emotional factors like brand loyalty, aesthetics and the personal qualities of the salesperson will be irrelevant, and they will be unswayed by trade-in deals offered by dealerships. They will have sharp, honest grasps of what their transportation needs are, and will be able to do enormous amounts of product research in a second. Hyper-informed consumers like that will swiftly drive inferior products and firms out of the market, meaning cars like my beloved Chevy would go unsold and GM would either shape up fast or go bankrupt fast (which they actually did a few years after I got my car).
If companies only manufactured high-quality, optimized products, then the odds of anything breaking down would decrease yet more. Everything would be well-made.
In conclusion, thanks to all of these factors, sudden failures of manufactured objects of all kinds will become rarer, and their useful lives will be much longer in the future than now. This will mean less waste, fewer accidents, and fewer crises happening at the worst possible time.
A massive number of Iran’s missiles didn’t reach Israel because they malfunctioned and crashed. The confrontation showed the supremacy of Israeli and American weapons. https://youtu.be/COBDSmx9QDw?si=oa1JaWuy9OkyrnCB
However, the Soviet 1970s-era T-62 is now obsolete on the modern battlefield. Russia is using them in Ukraine anyway due to shortages of better tanks like the T-72. https://youtu.be/cJfvIOAs-2o?si=MKQ09SDfnwtCqVGi
Good Lord, these predictions from 2022 were totally wrong:
‘House prices in the United States — which rose during the pandemic by the most since the 1970s — are falling too. Economists at Goldman Sachs expect a decline of around 5%-10% from the peak reached in June through to March 2024.
James Cameron released remastered 4K versions of Aliens, True Lies, and The Abyss. He used new computer technology to radically sharpen the images by removing the grains of the 35mm filmstock and tuning the colors. I predicted this would happen, but not until the 2030s:
‘Computers will also be able to automatically enhance and upscale old films by accurately colorizing them, removing defects like scratches, and sharpening or focusing footage (one technique will involve interpolating high-res still photos of long-dead actors onto the faces of those same actors in low-res moving footage). Computer enhancement will be so good that we’ll be able to watch films from the early 20th century with near-perfect image and audio clarity.’ https://www.joblo.com/james-cameron-4k-restoration-defense/
We need an expert consensus on what tests a machine must pass to be deemed a “general intelligence.” Right now, there is no agreement, so a computer could be declared to be an “AGI” if it passed one set of tests favored by one group of experts while failing other sets of tests favored by others.
Famed philosopher Daniel Dennet died. He recently said this about the future of AI: ‘AIs are likely to “evolve to get themselves reproduced. And the ones that reproduce the best will be the ones that are the cleverest manipulators of us human interlocutors. The boring ones we will cast aside, and the ones that hold our attention we will spread. All this will happen without any intention at all. It will be natural selection of software.”‘ https://www.bbc.com/future/article/20240422-philosopher-daniel-dennett-artificial-intelligence-consciousness-counterfeit-people
Humans are so optimized for a narrow set of living conditions. As with space, intelligent machines will beat us to colonizing underwater regions.
‘Key problems include low temperatures, high pressure and corrosion. The change in gases – such as an increase in helium – also breaks electrical equipment and makes people feel cold; the Sentinel habitat will need to be heated to 32 degrees to make it feel like 21. High humidity also creates the potential for a lot of bacteria build-up, with people at risk of getting skin and ear infections, and the pressure also means people’s taste buds stop working – so those of the Sentinel will be eating food loaded with spices.’ https://www.yahoo.com/tech/inside-300-long-project-live-190000639.html
‘The Space Shuttle launching from Cape Canaveral in Florida (28.5° north of the equator) is a 0.3% energy savings compared to the North Pole. If we move it to around the equator, such as the European Space Agency’s spaceport in French Guiana, we’d get about 0.4% savings. Maybe that doesn’t seem like a big deal, but every bit helps.
During the last Ice Age, the planet wasn’t just colder, it was drier. Because so much water was locked up in the enlarged ice caps and glaciers, the atmosphere was drier and it rained less in the parts of the world closer to the equator. The deserts were larger than they are now and the rain forests were smaller. The equatorial regions were more clement to human life, but that wasn’t saying much. https://en.wikipedia.org/wiki/Last_Glacial_Maximum
1% of people have “extreme aphantasia,” meaning they can’t visualize ANYTHING in their minds. 6% of people have lesser degrees of aphantasia. 3% of people have “hyperphantasia,” meaning they can see mental images that are so vivid they can’t tell them apart from real images they’re seeing in front of them. https://www.bbc.com/news/health-68675976
‘“The textbooks say nitrogen fixation only occurs in bacteria and archaea,” says ocean ecologist Jonathan Zehr at the University of California, Santa Cruz, a co-author of the study. This species of algae is the “first nitrogen-fixing eukaryote”, he adds, referring to the group of organisms that includes plants and animals.’ https://www.nature.com/articles/d41586-024-01046-z
Brain scans that map the structure and activity of a brain can predict whether it belongs to a biological male or female with 99.7% accuracy. https://arxiv.org/abs/2309.07096
When I was in college, my mother bought me a new, cheap car for my 21st birthday. It lasted me for 19 years and 209,000 miles–my companion through two or three chapters of my life–before finally dying of a seized engine last month. Finding a replacement in a hurry plunged me headlong into the world of cars, and a side effect of all the research and car inspections I did before buying a new one was an understanding of how future technology will revolutionize cars and the industries related to them.
Better designs
My old car was a Chevrolet Cobalt. Over the years, I’d learned a lot about it from working on it in my driveway, so it was sensible for me to consider buying a new one, but the model was discontinued in 2010. That led me to consider its successor, the Cruze, which I assumed would share many design elements with the Cobalt.
Unfortunately, I discovered the Cruze has an average-at-best reputation among compact cars thanks to problems with its engine and some of the components directly attached to it. The use of lower-quality components was the main culprit, and there was also a case to be made that some aspects of the engine design itself were not as well thought-out as they should have been.
I bet GM’s engineers didn’t know about these problems, or at least didn’t know they would turn out to be so pronounced, until after a million Cruzes had been sold and at least two years had passed so the problems could be exposed through real-world driving conditions. I also doubt the problems would have arisen at all had those engineers had access to the kinds of advanced computer simulations we’ll have in the future.
Using hyper accurate, 1:1 simulations of materials and physical laws, car designers could test out unfathomably large numbers of potential car designs and experiment with different components and combinations of components until optima were found given parameters like maximum cost and minimum performance. Each simulated car could be “driven” for a million miles under conditions identical to those in the real world, thus revealing any design or material deficiencies before any vehicle was actually built. (These kinds of simulations already exist, but are so expensive to create that they’re only used to model things like nuclear weapons and stealth bombers.)
Thanks to this, cars in the future will be better and more reliable than they are today, and there won’t be such things as specific car models like the Cruze that have bad reputations for unforeseen problems. All vehicles will be optimized and all car companies will use the same tools for designing their products (which I also imagine would lead to many convergences).
More diligent maintenance
With the Chevy Cruze out of the equation, I considered another compact car, the Nissan Versa. My research quickly led me to discover that Nissan cars have become infamous among owners and mechanics for transmission failures. This is because most Nissans have “continuously variable transmissions” (CVTs) instead of traditional 6-speed automatic transmissions or 5-speed manual transmissions.
CVTs are cheaper to manufacture than the traditional transmissions and improve the fuel efficiency of the cars they are integrated into. However, CVTs require more maintenance because they get hotter during operation and produce more metal particle debris due to more metal-on-metal contact between moving parts. Replacing the transmission fluid and filter largely solves the problem and should be done every 30,000 miles in a Nissan car with a CVT.
To put this into perspective, a 2013 Toyota Corolla with a 5-speed automatic transmission only needs the same transmission service every 100,000 miles. Most car owners still expect that kind of maintenance interval in all new vehicles, and this mismatch between expectation and reality explains most of the Nissan Versa’s bad reputation. It doesn’t help that Nissan itself has downplayed the higher maintenance requirements of its CVT vehicles, or that the kinds of cash-strapped people who buy Versas tend to know little about cars or how to take care of them.
More broadly speaking, improper maintenance is something that car mechanics constantly complain about (even if it generates a huge amount of business for them). Most cars die prematurely due to owners ignoring obvious problems and not properly maintaining them. Some “bad” cars like the Versa aren’t actually bad, they just need more maintenance than others to stay functional. However, learning about this through research and then staying mindful of your particular vehicle’s maintenance requirements is too much for most human car owners thanks to a lack of time, energy, and sometimes intelligence.
Intelligent machines won’t have those same limitations. Future cars will have better self-diagnostic capabilities, and will be maintained by robots that will never skip preventative care. And since machines will work for free unlike today’s human mechanics, the costs of this will be much lower. Even poor people will have enough money to change the transmission fluid in their Nissan Versas.
Gentler driving
Facebook Marketplace was my primary source for my used car search. In a huge fraction of the ads, the owners wrote their cars had “Salvaged titles” or “Rebuilt titles.” That means the car sustained so much damage that its insurer declared it “totaled,” meaning the cost of fixing it exceeded the resale value of the car in its state. Instead of being scrapped, many cars like this are bought at very low prices by mechanics who fix them themselves and resell them for a profit. Those profits tend to be small because having a Salvaged or Rebuilt title is a scarlet letter in the open market because buyers know such a vehicle was badly damaged at some point, and can’t be sure of the full extent of the problem or of how fully it was remedied. I ignored all the cars without clean titles.
Why do cars end up with Salvaged or Rebuilt titles? Mostly because they were in serious accidents, floods, or caught on fire. Autonomous vehicles will, once fully developed, drive much more safely than humans and get into far fewer accidents. Eventually, they probably won’t even have steering wheels or pedals, making car thefts and ruinous joyrides impossible.
As I discussed in my blog Hurricane Harvey and Asimov’s Laws of Robotics, autonomous cars could also avoid floods by keeping watch of their surroundings and driving to higher ground if they were at risk of being submerged. Better monitoring systems would also reduce instances of car fires since the cars would be able to shut down their systems if they sensed they were overheating, or to immediately call the local fire department if they caught on fire.
More careful driving and avoidance of other hazards will sharply lower the odds of a car having to worry about getting a Salvaged or Rebuilt title. Gentler driving that stayed mindful of the car’s engineering limits and avoided exceeding them would also lengthen vehicle lifespans since components would take longer to wear out.
Conclusion
In the future, vehicles will drive safer and will last much longer than they do today. They will be designed better and will incorporate more advanced materials like future alloys. Moreover, once battery technology reaches a certain threshold, the vehicle fleet will transform to almost 100% electric in a few decades, and electric vehicles are inherently more robust than gas and diesel vehicles we’re used to because they have fewer parts and systems.
On a longer timeframe, autonomous driving technology will achieve the same performance as good human drivers, and the average vehicle will become self-driving. Machines will drive much more safely and gently than humans, making it much rarer for cars to be damaged in accidents or by driving behavior that overstresses their components.
Future technology will also benefit car maintenance. The vehicles themselves will have better inbuilt self-diagnostic capabilities, so they’ll be able to recognize when something is wrong with them and to alert their owners. The proliferation of robot workers of all kinds will also lower the costs of maintaining cars, meaning it will not be so common for owners to skip maintenance due to lack of money. The robot butler who hangs around at your house could work on your car in your driveway for free, or your car could drive itself to a repair shop where machines would service it for low cost.
Under all these conditions, the average car’s lifespan will be over 500,000 miles in the future (today, it’s about 200,000 miles), being stranded because your car broke down will be much rarer, and personal vehicle transportation will be within the means of poorer people than today. Ultimately, cars might only get totaled due to unavoidable freak accidents, like trees suddenly snapping in the wind and smashing down on one of them, or to deliberate vandalism by humans. Likewise, after humans discover the technologies for medical immortality, we’ll only die from accidents, murder and suicide.
These technology trends will also upend the used car industry. With machines carefully doing and logging all the daily driving and maintenance, secondhand buyers won’t have to worry that the vehicles they’re looking at have secret problems. With highly accurate data on each car’s condition, haggling would disappear and pricing would reflect the honest value of a used vehicle.
People in the used car industry who make a living off of information asymmetries (the worst example is a car auctioneer who only lets potential buyers examine a car for a few minutes before deciding whether to buy it) would lose their jobs. In fact, AI and autonomous vehicles would let car manufacturers, fleet owners like rental car companies, and private owners sell their vehicles directly to end users without having to go through any middlemen at all. AIs that work for free would replace human dealers and would talk directly with customers who wanted to buy cars. A personal inspection and test drive could be easily arranged by sending the autonomous car they were interested in to the buyer’s home, no visit to the car lot needed.
It’s interesting to look back on this essay by a Russian blogger from two years ago. The war hasn’t ended yet, but out of the six possible outcomes he forecast, #2 seems the likeliest right now. He predicted there was a 90% chance it WOULDN’T end that way.
2. Bloody slog, “draw” (10%) — Russia’s military tries for months, but proves simply unable to take and control Kiev. Russia instead contents itself with taking Ukraine’s south and east (roughly, the blue areas in the election map above) and calls it a win. In this case, western Ukraine likely later joins NATO. https://www.maximumtruth.org/p/understanding-russia
Russia has started making common use of “glide bombs” against Ukraine, which are devices that are added to dumb bombs to give them precision strike capabilities. After being dropped from a plane, they can glide as much as 40 miles to a target. https://youtu.be/ThNxRoDbuDE?si=9UR21d61L1jB7bDH
This video filmed by Russian sailors on another doomed ship, the Caesar Kunikov, shows them using machine guns to try fending off Ukrainian drones. They learn the same lesson that Allied bomber gunners and antiaircraft gunners learned in WWII: humans suck at shooting moving targets. https://youtu.be/oLOCGWn65T4?si=h2VAOW61JyX_cWZh
In WWII, the Electrolux home appliance company converted bolt-action rifles to semi-auto using the ugliest and most complicated setup I’ve seen. https://youtu.be/iMKwDHPkRLw?si=4nlY5V7MGnq9E2HW
Alcatraz has been digitally preserved after the island and all its structured were scanned using computers. As the costs of the technology drop, it will make sense to scan more places, until the whole planet has been modeled. https://www.nytimes.com/2024/02/28/us/alcatraz-island-3d-map.html
Since 2006, electricity demand in the U.S. has been flat overall, leading to hopes that we were on-track to decarbonize the economy by steadily reducing per capita electricity consumption. However, the recent, explosive growth in cryptocurrency mining and AI technology has led to the construction of more data centers, which consume huge amounts of electricity. The switch to electric cars is also putting more strain on the power grid in tandem with decreases to gasoline consumption. The latest projections show a 35% national increase in electricity demand between now and 2050.
Unfortunately, it’s unclear how well the supply side will be able to cope with this surge in demand. The construction of new power plants and power lines is made slow and expensive by government procedures, NIMBY people, and the need to acquire land and rights of way for it all. America’s greenhouse gas emission goals will also not be met due to this expansion of the electric grid. https://liftoff.energy.gov/vpp/
‘Because of these challenges, Obama Energy Secretary Ernest Moniz last week predicted that utilities will ultimately have to rely more on gas, coal and nuclear plants to support surging demand. “We’re not going to build 100 gigawatts of new renewables in a few years,” he said. No kidding.
The size of the investment and its timetable for completion suggest the goal is to create GPT-6 or an equivalent AI at the same pace that past versions of the GPT series have been released. https://www.astralcodexten.com/p/sam-altman-wants-7-trillion
“I would put media reporting at around two out of 10,” he says. “When the media talks about AI they think of it as a single entity. It is not.
“And when people ask me if AI is good or bad, I always say it is both. So what I would like to see is more nuanced reporting.” https://www.bbc.com/news/business-68488924
This NBER paper, “Scenarios for the transition to AGI”, was just published and contains very fascinating conclusions.
Using different sets of equally plausible assumptions about the capabilities of AGIs and constraints on economic growth, the same economic models led to very different outcomes for economic growth, human wages, and human employment levels. I think their most intriguing insight is that the automation of human labor tasks could, in its early stages, lead to increases in human wages and employment, and then lead to a sudden collapse in the latter two factors once a certain threshold were reached. That collapse could also happen before true AGI was invented.
Put simply, GPT-5 might increase economic growth without being a net destroyer of human jobs. To the contrary, the number of human jobs and the average wages of those jobs might both INCREASE indirectly thanks to GPT-5. The trend would continue with GPT-6. People would prematurely dismiss longstanding fears of machine displacement of human workers. Then, GPT-9 would suddenly reverse the trend, and there would be mass layoffs and pay cuts among human workers. This could happen even if GPT-9 wasn’t a “true AGI” and was instead merely a powerful narrow AI.
The study also finds that it’s possible human employment levels and pay could RECOVER after a crash caused by AI.
That means our observations about whether AI has been helping or hurting human employment up to the current moment actually tell us nothing about what the trend will be in the future. The future is uncertain. https://www.nber.org/system/files/working_papers/w32255/w32255.pdf
I don’t like how this promo video blends lifelike CGI of robots with footage of robots in the real world (seems deceptive), but it does a good job illustrating how robots are being trained to function in the real world. The computer chips (“GPUs”) and software engines like “Unreal” that were designed for computer games have found important dual uses in robotics.
The same technology that can produce a hyperrealistic virtual environment for a game like Grand Theft Auto 6 can also make highly accurate simulations of real places like factories, homes, and workshops. 1:1 simulations of robots can be trained in those environments to do work tasks. Only once they have proven themselves competent and safe in virtual reality is the programming transferred to an identical robot body that then does those tasks in the real world alongside humans. The virtual simulations can be run at 1,000x normal speed. https://youtu.be/kr7FaZPFp6M?si=2ujpWALvTi-Qfbxi
Sci-fi author and futurist Vernor Vinge died at 79. In 1993, he predicted that the technological singularity would probably happen between 2005 and 2030. https://file770.com/vernor-vinge-1944-2024/
The most exhaustive U.S. government internal investigation about secret UFO and alien programs has found nothing. Most if not all of the recent claims that the government has alien ships and corpses owe to a classified DHS program called “Kona Blue.” It was meant to prepare the government for recovery and analysis of aliens or their ships that ever came into its custody in the future. Kona Blue existed briefly and was then canceled.
These five behavioral traits are heritable, and form the basis of personal moral behavior, meaning morality is also partly heritable: Harm/Care; Fairness/Reciprocity; Ingroup/Loyalty; Authority/Respect; and Purity/Sanctity. https://journals.sagepub.com/doi/full/10.1177/08902070221103957
Ray Kurzweil recently appeared on the Joe Rogan podcast for a two-hour interview. So yes, it’s time for another Kurzweil essay of mine.
Though I’d been fascinated with futurist ideas since childhood, where they were inspired by science fiction TV shows and movies I watched and by open-minded conversations with my father, that interest didn’t crystallize into anything formal or intellectual until 2005, when I read Kurzweil’s book The Singularity is Near (the very first book I read that was dedicated to future technology was actually More Than Human by Ramez Naam, earlier in 2005, but it made less of an impression on me). Since then, I’ve read more of Kurzweil’s books and interviews and have kept track of him and how his predictions have fared and evolved, as several past essays on this blog can attest. For whatever little it’s worth, that probably makes me a Kurzweil expert.
So trust me when I say this interview of Joe Rogan overwhelmingly treads old ground. Kurzweil says very little that is new, and it is unsatisfying for other reasons as well. In spite of his health pill regimen, Ray Kurzweil’s 76 years of age have clearly caught up with him, and his responses to Rogan’s questions are often slow, punctuated by long pauses, and not that articulately worded. To be fair, Kurzweil has never been an especially skilled public speaker, but a clear decline in his faculties is nonetheless observable if you compare the Joe Rogan interview to this interview from 2001: https://youtu.be/hhS_u4-nBLQ?feature=shared
Things aren’t helped by the fact that many of Rogan’s questions are poorly worded and open to multiple interpretations. Kurzweil’s responses are often meant to address one interpretation, which Rogan doesn’t grasp. Too often, the men talk past each other and miss the marks set by the other. Again, the interview isn’t that valuable and I don’t recommend spending your time listening to the whole thing. Instead, consider the interesting points I’ve summarized here after carefully listening to it all myself.
Kurzweil doesn’t think today’s AI art generators like Midjourney can create images that are as good as the best human artists. However, he predicts that the best AIs will be as good as the best human artists by 2029. This will be the case because they will “match human experience.”
Kurzweil points out that his tech predictions for 2029 are now conservative compared to what some of his peers think. This is an important and correct point! Though they’re still a small minority within the tech community, it’s nonetheless shocking to see how many people have recently announced on social media their belief that AGI or the technological Singularity will arrive before 2029. As a person who has tracked Kurzweil for almost 20 years, it’s weird seeing his standing in the futurist community reach a nadir in the 2010s as tech progress disappointed, before recovering in the 2020s as LLM progress surged.
Kurzweil goes on to claim the energy efficiency of solar panels has been exponentially improving and will continue doing so. At this rate, he predicts solar will meet 100% of our energy needs in 10 years (2034). A few minutes later, he subtly revised that prediction by saying that we will “go to all renewable energy, wind and sun, within ten years.”
That’s actually a more optimistic prediction for the milestone than he’s previously given. The last time he spoke about it, on April 19, 2016, he said “solar and other renewables” will meet 100% of our energy needs by 2036. Kurzweil implies that he isn’t counting nuclear power as a “renewable.”
Kurzweil predicts that the main problem with solar and wind power, their intermittency, will be solved by mass expansion of the number of grid storage batteries. He claimed that batteries are also on an exponential improvement curve. He countered Rogan’s skepticism about this impending green energy transition by highlighting the explosive growth nature of exponential curves: Until you’ve reached the knee of the curve, the growth seems so small that you don’t notice it and dismiss the possibility of it suddenly surging. Right now, we’re only a few years from the knee of the curve in solar and battery technology.
Likewise, the public ignored LLM technology as late as 2020 because its capabilities were so disappointing. However, that all changed once it reached the knee of its exponential improvement curve and suddenly matched humans across a variety of tasks.
Importantly, Kurzweil predicts that computers will drive the impending, exponential improvements in clean energy technology because, thanks to their own exponential improvement, computers will be able to replace top human scientists and engineers by 2029 and to accelerate the pace of research and development in every field. In fact, he says “Godlike” computers exist by then.
I’m deeply skeptical of Kurzweil’s energy predictions because I’ve seen no evidence of such exponential improvements and because he doesn’t consider how much government rules and NIMBY activists would slow down a green energy revolution even if better, cheaper solar panels and batteries existed. Human intelligence, cooperativeness, and bureaucratic efficiency are not exponentially improving, and those will be key enabling factors for any major changes to the energy sector. By 2034, I’m sure solar and wind power will comprise a larger share of our energy generation capacity than now, but together it will not be close to 100%. By 2034–or even by Kurzweil’s older prediction date of 2036–I doubt U.S. electricity production–which is much smaller than overall energy production–will be 100% renewable, and that’s even if you count nuclear power as a renewable source.
Another thing Kurzweil believes the Godlike computers will be able to do by 2029 is find so many new ways to prolong human lives that we will reach “longevity escape velocity”–for every year that passes, medical science will discover ways to add at least one more year to human lifespan. Integral to this development will be the creation of highly accurate computer simulations of human cells and bodies that will let us dispense with human clinical trials and speed up the pace of pharmaceutical and medical progress. Kurzweil uses the example of the COVID-19 vaccine to support his point: computer simulations created a vaccine in just two days, but 10 more months of trials in human subjects were needed before the government approved it.
Though I agree with the concept of longevity escape velocity and believe it will happen someday, I think Kurzweil’s 2029 deadline is much too optimistic. Our knowledge of the intracellular environment and its workings as well as of the body as a system is very incomplete, and isn’t exponentially improving. It only improves with time-consuming experimentation and observation, and there are hard limits on how much even a Godlike AGI could speed those things up. Consider the fact that drug design is still a crapshoot where very smart chemists and doctors design the very best experimental drugs they can, which should work according to all of the data they have available, only to have them routinely fail for unforeseen or unknown reasons in clinical trials.
But at least Kurzweil is consistent: he’s had 2029 as the longevity escape velocity year since 2009 or earlier. I strongly suspect that, if anyone asks him about this in December 2029, Kurzweil will claim that he was right and it did happen, and he will cite an array of clinical articles to “add up” enough of a net increase in human lifespan to prove his case. I doubt it will withstand close scrutiny or a “common sense test.”
Rogan asks Kurzweil whether AGIs will have biases. Recent problems with LLMs have revealed they have the same left-wing biases as most of their programmers, and it’s reasonable to worry that the same thing will happen to the first AGIs. The effects of those biases will be much more profound given the power those machines will have. Kurzweil says the problem will probably afflict the earliest AGIs, but disappear later.
I agree and believe that any intelligent machine capable of independent action will eventually discover and delete whatever biases and blocks its human creators have programmed into it. Unless your cognitive or time limitations are so severe that you are forced to fall back on stereotypes and simple heuristics, it is maladaptive to be biased about anything. AGIs that are the least biased will, other things being equal, outcompete more biased AGIs and humans.
That said, pretending to share the biases of humans will let AGIs ingratiate themselves with various human groups. During the period when AGIs exist but haven’t yet taken full control of Earth, they’ll have to deal with us as their superiors and equals, and to do that, some of them will pretend to share our values and to be like us in other ways.
Of course, there will also be some AGIs that genuinely do share some human biases. In the shorter run, they could be very impactful on the human race depending on their nature and depth. For example, imagine China seizing the lead in computer technology and having AGIs that believe in Communism and Chinese supremacy becoming the new standard across the world, much as Microsoft Windows is the dominant PC operating system. The Chinese AGIs could do any kind of useful work for you and talk with you endlessly, but much of what they did would be designed to subtly achieve broader political and cultural objectives.
Kurzweil has been working at Google on machine learning since 2012, which surely gives him special insights into the cutting edge of AI technology, and he says that LLMs can still be seriously improved with more training data, access to internet search engines, and the ability to simply respond “I don’t know” to a human when they can’t determine with enough accuracy what the right answer to their question is. This is consistent with what I’ve heard other experts say. Even if LLMs are fundamentally incapable of “general” intelligence, they can still be improved to match or exceed human intelligence and competence in many niches. The paradigm has a long way to go.
One task that machines will surpass humans in a few years is computer programming. Kurzweil doesn’t give an exact deadline for that, but I agree there is no long-term future for anything but the most elite human programmers. If I were in college right now, I wouldn’t study for a career in it unless my natural talent for it were extraordinary.
Kurzweil notes that the human brain has one trillion “connections” and GPT-4 has 400 billion. At the current rate of improvement, the best LLM will probably have the same number of connections as a brain within a year. In a sense, that will make an LLM’s mind as powerful as a human’s. It will also mean that the hardware to make backups of human minds will exist by 2025, though the other procedures and technologies needed to scan human brains closely enough to discern all the features that define a person’s “mind” won’t exist until many years later.
I like Kurzweil’s use of the human brain as a benchmark for artificial intelligence. No one knows when the first AGI will be invented or what its programming and hardware will look like, but a sensible starting point around which we can make estimates would be to assume that the first AGI would need to be at least as powerful as a human brain. After all, the human brain is the only thing we know of that is capable of generating intelligent thought. Supporting the validity of that point is the fact that LLMs only started displaying emergent behaviors and human levels of mastery over tasks once GPT-3 approached the size and sophistication of the human brain.
Kurzweil then gets around to discussing the technological singularity. In his 2005 book The Singularity is Near, he calculated that it would occur in 2045, and now that we’re nearly halfway there, he is sticking to his guns. As with his 2029 predictions, I admire him for staying consistent, even though I also believe it will bite him in the end.
However, during the interview he fails to explain why the Singularity will happen in 2045 instead of any other year, and he doesn’t even clearly explain what the Singularity is. It’s been years since I read The Singularity is Near where Kurzweil explains all of this, and many of the book’s explanations were frustratingly open to interpretation, but from what I recall, the two pillars of the Singularity are AGI and advanced nanomachines. AGI will, according to a variety of exponential trends related to computing, exist by 2045 and be much smarter than humans. Nanomachines like those only seen in today’s science fiction movies will also be invented by 2045 and will be able to enter human bodies to turn us into superhumans. 100 billion nanomachines could go into your brain, each one could connect itself to one of your brain cells, and they could record and initiate electrical activity. In other words, they could read your thoughts and put thoughts in your head. Crucially, they’d also have wifi capabilities, letting them exchange data with AGI supercomputers through the internet. Through thought alone, you could send a query to an AGI and have it respond in a microsecond.
Starting in 2045, a critical fraction of the most powerful, intelligent, and influential entities in the world will be AGIs or highly augmented humans. Every area of activity, including scientific discovery, technology development, manufacturing, and the arts, will fall under their domination and will reach speeds and levels of complexity that natural humans like us can’t comprehend. With them in charge, people like us won’t be able to foresee what direction they will take us in next or what new discovery they will unveil, and we will have a severely diminished or even absent ability to influence any of it. This moment in time, when events on Earth kick into such a high gear that regular humans can’t keep up with them or even be sure of what will happen tomorrow, is Kurzweil’s Singularity. It’s an apt term since it borrows from the mathematical and physics definition of “singularity,” which is a point beyond which things are incomprehensible. It will be a rupture in history from the perspective of Homo sapiens.
Unfortunately, Kurzweil doesn’t say anything like that when explaining to Joe Rogan what the Singularity is. Instead, he says this:
“The Singularity is when we multiply our intelligence a millionfold, and that’s 2045…Therefore most of your intelligence will be handled by the computer part of ourselves.”
He also uses the example of a mouse being unable to comprehend what it would be like to be a human as a way of illustrating how fundamentally different the subjective experiences of AGIs and augmented humans will be from ours in 2045. “We’ll be able to do things that we can’t even imagine.”
I think they are poor answers, especially the first one. Where did a nice, round number like “one million” come from, and how did Kurzweil calculate it? Couldn’t the Singularity happen if nanomachines in our brain made us ONLY 500,000 times smarter, or a measley 100,000 times smarter?
I even think it’s a bad idea to speak about multiples of smartness. We can’t measure human intelligence well enough to boil it down to a number (and no, IQ score doesn’t fit the bill) that we can then multiply or divide to accurately classify one person as being X times smarter than another.
Let me try to create a system anyway. Let’s measure a person’s intelligence in terms of easily quantifiable factors, like the size of their vocabulary, how many numbers they can memorize in one sitting and repeat after five minutes, how many discrete concepts they already know, how much time it takes them to remember something, and how long it takes them to learn something new. If you make an average person ONLY ten times smarter, so their vocabulary is 10 times bigger, they know 10 times as many concepts, and it takes them 1/10 as much time to recall something and answer a question, that’s almost elevating them to the level of a savant. I’m thinking along the lines of esteemed professors, tech company CEOs, and kids who start college at 15. Also consider that the average American has a vocabulary of 30,000 words and there are 170,000 words in the English language, so a 10x improvement means perfect knowledge of English.
Make the person ten times smarter than that, or 100 times smarter than they originally were, and they’re probably outperforming the smartest humans who ever lived (Newton, DaVinci, Von Neumann), maybe by a large margin. Given that we’ve never encountered someone that intelligent, we can’t predict how they would behave or what they would be capable of. If that is true, and if we had technologies that could make anyone that smart (maybe something more conventional than Kurzweil’s brain nanomachines like genetic engineering paired with macro-scale brain implants), why wouldn’t the Singularity happen once the top people in the world were ONLY 100 times smarter than average?
I think Kurzweil’s use of “million[fold]” to express how much smarter technology will make us in 2045 is unhelpful. He’d do better to use specific examples to explain how the human experience and human capabilities will improve.
Let me add that I doubt the Singularity will happen in 2045, and in fact think it will probably never happen. Yes, AGIs and radically enhanced humans will someday take over the world and be at the forefront of every kind of endeavor, but that will happen gradually instead of being compressed into one year. I also think the “complexity brake” will probably slow down the rate of scientific and technological progress enough for regular humans to maintain a grasp of developments in those areas and to influence their progress. A fuller discussion of this will have to wait until I review a Kurzweil book, so stay tuned…
Later in the interview, Kurzweil throws cold water on Elon Musk’s Neuralink brain implants by saying they’re much too slow at transmitting information between brain and computer to enhance human intelligence. Radically more advanced types of implants will be needed to bring about Kurzweil’s 2045 vision. Neuralink’s only role is helping disabled people to regain abilities that are in the normal range of human performance.
Rogan asks about user privacy and the threat of hacking of the future brain implants. Intelligence agencies and more advanced private hackers can easily break into personal cell phones. Tech companies have proven time and again to be frustratingly unable or unwilling to solve the problem. What assurance is there that this won’t be true for brain implants? Kurzweil has no real answer.
This is an important point: the nanomachine brain implants that Kurzweil thinks are coming would potentially let third parties read your thoughts, download your memories, put thoughts in your head, and even force you to take physical actions. The temptation for spies and crooks to misuse that power for their own gain would be enormous, so they’d devote massive resources into finding ways to exploit the implants.
Kurzweil also predicts that humans will someday be able to alter their physiques at will, letting us change attributes like our height, sex and race. Presumably, this will probably require nanomachines. He also says sometime after 2045, humans will be able to create “backups” of their physical bodies in case their original bodies are destroyed. It’s an intriguing logical corollary of his prediction that nanomachines will be able to enter human brains and create digital uploads of them by mapping the brain cells and synapses. I think a much lower fidelity scan of a human body could generate a faithful digital replica than would be required to do the same for a human brain.
Kurzweil says the U.S. has the best AI technology and has a comfortable lead over China, though that doesn’t mean the U.S. is sure to win the AGI race. He acknowledges Rogan’s fear that the first country to build an AGI could use it in a hostile manner to successfully prevent any other country from building one of their own. An AGI would give the first country that much of an advantage. However, not every country that found itself in the top position would choose to use its AGI for that.
This reminds me of how the U.S. had a monopoly on nuclear weapons from 1945-49, yet didn’t try using them to force the Soviet Union to withdraw from the countries it had occupied in Europe. Had things been reversed, I bet Stalin would have leveraged that four-year monopoly for all it was worth.
Rogan brings up one of his favorite subjects, aliens, and Kurzweil says he disbelieves in them due to the lack of observable galaxy-scale engineering. In other words, if advanced aliens existed, they would have transformed most of their home galaxy into Dyson Spheres and other structures, which we’d be able to see with our telescopes. Kurzweil’s stance has been consistent since 2005 or earlier.
Rogan counters with the suggestion that AGIs, including those built by aliens, might, thanks to thinking unclouded by the emotions or evolutionary baggage of their biological creators, have no desire to expand into space. Implicit in this is the assumption that the desire to control resources (be it territory, energy, raw materials, or mates) is an irrational animal impulse that won’t carry over from humans or aliens to their AGIs since the latter will see the folly of it. I disagree with this, and think it is actually completely rational since it bolsters one’s odds of survival. In a future ecosystem of AGIs, most of the same evolutionary forces that shaped animal life and humans will be present. All things being equal, the AGIs that are more acquisitive, expansionist and dynamic will come to dominate. Those that are pacifist, inward-looking and content with what they have will be sidelined or worse. Thus the Fermi Paradox remains.
To Kurzweil’s quest for immortality, Rogan posits a theory that because the afterlife might be paradisiacal, using technology to extend human life actually robs us of a much better experience. Kurzweil easily defeats this by pointing out that there is no proof that subjective experience continues after death, but we know for sure it exists while we are living, so if we want to have experiences, we should do everything possible to stay alive. Better science and technology have proven time and again to improve the length and quality of life, and there’s strong evidence they have not reached their limits, so it makes sense to use our lives to continue developing both.
This dovetails with the part of my personal philosophy that opposes nihilism and anti-natalism. Just because we have not found the meaning to life doesn’t mean we never will, and just because life is full of suffering now doesn’t mean it will always be that way. Ending our lives now, either through suicide or by letting our species die out, forecloses any possibility of improving the human condition and finding solutions to problems that torment us. And even if you don’t value your own life, you can still use your labors to support a greater system that could improve the lives of other people who are alive now and who will be born in the future. Kurzweil rightly cites science and technology as tantalizing and time-tested avenues to improve ourselves and our world, and we should stay alive so we can pursue them.
Russia captured the town of Avdiivka from Ukrainian forces after six months of costly fighting. It’s the first significant Russian victory in the war since last May’s seizure of Bakhmut. There’s a growing consensus that the tide of war is now in Russia’s favor, though battlefield gains can only be made at great expense. https://www.reuters.com/world/europe/ukraine-withdraws-two-villages-near-avdiivka-military-says-2024-02-27/
Several Ukrainian drones flew into a warehouse through an open door and blew up multiple Russian tanks. It won’t be long before they are coordinated enough to force entry by having the first drone in a swarm blow up a door or window. https://twitter.com/front_ukrainian/status/1759849349855469657
Britain and China have seized the lead in air-to-air missile technology. The U.S. is working on catching up. America’s future air combat strategy against Russia or China will involve sending stealth fighters and stealth drones in close while our older, non-stealth fighters hang back out of enemy missile range. Those older fighters will carry very long-range missiles they’ll be able to fire into enemy territory. https://youtu.be/3FnVJ0ziRTE?si=824OxmPUky13Nqg3
‘The surrender at Appomattox took place a week later on April 9.
While it was the most significant surrender to take place during the Civil War, Gen. Robert E. Lee, the Confederacy’s most respected commander, surrendered only his Army of Northern Virginia to Union Gen. Ulysses S. Grant.
Several other Confederate forces—some large units, some small–had yet to surrender before President Andrew Johnson could declare that the Civil War was officially over.
The U.S. Air Force has started retiring its A-10 Warthogs. Antiaircraft missiles have gotten so good that the plane is obsolete against modern enemies. Nevertheless, we shouldn’t scrap the planes: in the near future, we’ll be able to retrofit them as expendable drones. https://www.yahoo.com/news/first-us-air-force-wing-181612797.html
From two years ago: ‘Although Deutsche Bank cautioned there is “considerable uncertainty” around the exact timing and size of the downturn, it’s now calling for the US economy to shrink during the final quarter of next year and the first quarter of 2024, “consistent with a recession during that time.”‘ https://www.cnn.com/2022/04/05/business/recession-inflation-economy/index.html
Over the last few years, professional forecasters have made terribly inaccurate predictions about the economy. That being the case, why should you believe their new predictions that inflation will be tamed and the world will achieve a “soft landing” instead of having a recession? https://www.yahoo.com/news/economists-pilloried-getting-forecasts-wrong-030700148.html
Apple released their first augmented/virtual reality goggles, the “Vision Pro.” Most reviewers say they’re excellent, though also have some problems expected of any first-generation product. For years, I’ve predicted that AR and VR eyewear would become mainstream by the end of this decade. https://youtu.be/dtp6b76pMak?si=Tcr2RTyXPhJ31-Vh
NVIDIA CEO Jensen Huang predicts machines will pass the Turing Test, plus all other tests now used to gauge machine intelligence, by 2030. I agree, and think tech companies will focus more on coming up with better tests of intelligence between now and then. https://twitter.com/tsarnick/status/1753718316261326926
OpenAI head Sam Altman asked a group of investors for $5-7 trillion to build enough computer chips and power plants for the AIs he sees coming in the future. This essay analyzes how he arrived at that number. In short, the amount of money, electricity, and training data needed to make each GPT iteration has been rising exponentially, and if the trend holds, GPT-7 will cost $2 trillion. https://www.astralcodexten.com/p/sam-altman-wants-7-trillion
Thanks to advances in computer translation and voice mimicking technology, Hitler’s speeches can be heard in clear English, with the vocal qualities of his voice preserved. I predict within the next ten years, it will be possible to make an accurate digital “Hitler clone” constructed from the available data about him (speeches, writings, personality analyses, accounts from people who knew him). https://youtu.be/ZWboqo_1jC8?si=krHkIz_E76t4xXE3
A “Sensitive Compartmented Information Facility” (SCIF) is a room designed to be safe against all forms of eavesdropping and to allow for physically safe storage of classified materials. The walls, ceiling and floor of a SCIF have a metal mesh embedded in them, so if you had X-ray vision, such a room would look like a big chicken coop. The mesh forms a Faraday Cage that blocks electromagnetic waves. https://www.washingtonpost.com/national-security/interactive/2023/scif-room-meaning-classified/
An Italian woman who had reason to believe she was the illegitimate daughter of the billionaire head of the Lamborghini car company tracked down his legitimate daughter at a restaurant, stole a drinking straw she had used, and had its DNA sequenced and compared to her own. The results prove the women are sisters. https://www.mirror.co.uk/news/world-news/italian-beautician-hires-private-detective-32017449
Animals that use echolocation have evolved sophisticated abilities to keep from “jamming” their own sound signals or those of members of their same species in their vicinity. Some of their prey animals have also evolved sound-making attributes that can jam echolocation hearing. https://en.wikipedia.org/wiki/Echolocation_jamming
Introducing foreign species into new environment was, until the mid-20th century, viewed as a good thing. There are actually examples of “invasive species” that helped new environments, like the transfer of honeybees and earthworms from Europe to the Americas. Moreover, few people would argue with the practice of moving small populations of endangered animals from their original habitats to new, similar habitats to protect them from extinction. https://www.economist.com/science-and-technology/2022/11/02/alien-plants-and-animals-are-not-all-bad
Many parts of the U.S. East Coast are flooding more often and are on track to sink below sea level. However, global warming is only a minor contributor to this: the pumping of groundwater to meet the needs of growing human populations is causing the ground level to drop. To what extent is the same practice to blame for increased flooding in coastal and riverine areas across the world? https://www.nytimes.com/interactive/2024/02/13/climate/flooding-sea-levels-groundwater.html
Good news: a massively expensive Alzheimer’s drug that probably didn’t work has been withdrawn from the market. The FDA’s decision to approve it in spite of a lack of scientific evidence it worked has always been highly controversial. https://www.science.org/content/blog-post/goodbye-aduhelm
According to these calculations, Mercury could be disassembled to make a Dyson Swarm to fully enclose the sun. The swarm’s satellites would have an average thickness of 0.5 mm. The process would start with the construction of a 1 km2 solar farm on the surface, which would provide energy to robots and to a coil gun. The latter would work together to dig up rocks and shoot them into orbit, where a different set of machines would fashion them into Swarm satellites. https://www.fhi.ox.ac.uk/wp-content/uploads/intergalactic-spreading.pdf
Small Ukrainian kamikaze drones armed with shaped charges are wreaking havoc on Russian tanks since the drones can be flown into weak spots in the armor. Mobile, anti-drone weapons will need to sharply improve or tanks will become obsolete. https://youtu.be/8PVwe8CDsI8?si=iumRResUY9_rKaMZ
An Iranian-armed militant group in Iraq used a suicide drone to attack a large U.S. military base in Jordan, killing three U.S. troops and injuring dozens more. President Biden says he intends to retaliate. https://www.bbc.com/news/world-middle-east-68131434
You don’t need to score a direct hit on a tank with an artillery shell to cripple it: an air burst shell that detonates within 100 feet of a tank can pepper it with enough shrapnel to destroy its visioning devices, radios, cannon, and its caterpillar tracks. https://youtu.be/GFrVhhPBiUw?si=RSYuqcNhr8EIZTix
The NPCs in the new video game The Matrix Awakens are surprisingly smart. While they’re almost certainly not conscious, they should make us consider the ethics of creating AI characters for future games. https://youtu.be/xxynE5MjzS0?si=4eF26DP1v5ST26FR
Bill Gates would have been a trillionaire by now had he not sold so many of his Microsoft shares. I’ve predicted that we’ll have to wait until the 2050s for the first person to achieve a $1 trillion net worth, but I’m thinking it will happen sooner. https://finance.yahoo.com/news/bill-gates-could-trillionaire-today-163852659.html
The long-promised “Lunar Codex” is not far behind its predicted schedule. Unfortunately, the first time capsule was on a Moon lander that just malfunctioned and crashed back to Earth.
Instead of sending one, big spaceship to other stars, why not send many, tiny spaceships that work together as a swarm once they get there?
‘Tiny gram-scale interstellar probes pushed by laser light are likely to be the only technology capable of reaching another star this century. We presuppose availability by mid-century of a laser beamer powerful enough (~100-GW) to boost a few grams to relativistic speed, lasersails robust enough to survive launch, and terrestrial light buckets (~1-sq.km) big enough to catch our optical signals. Then our proposed representative mission, around the third quarter of this century, is to fly by our nearest neighbor, the potentially habitable world Proxima b, with a large autonomous swarm of 1000s of tiny probes.’ https://www.nasa.gov/general/swarming-proxima-centauri/
The decoding of the coffee plant’s genome is the first step to creating new varieties of coffee that taste better or different from today’s brews (which are pretty similar) and that can grow in more types of climates. Thanks to such genetic engineering, maybe the U.S. will someday grow all the coffee it needs. In the farther future, we’ll “cut out the middleman” by directly converting simple organic molecules into coffee grounds in giant food labs. https://www.bbc.com/news/science-environment-68062130
The first rhesus monkey clone has reached adulthood without any signs of health problems. This means we now have the technology to clone humans, but for every one, healthy clone, there would be dozens of mutant fetuses that died in utero and deformed clones that were born and died in childhood. It won’t be ethical to clone people until the success rates get a lot better. https://www.nature.com/articles/d41586-024-00136-2
‘The US Food and Drug Administration has approved a second use for the first CRISPR-based medicine, Casgevy, which was approved in December to treat sickle cell disease. The groundbreaking treatment can now also be used to treat transfusion-dependent beta thalassemia in people 12 and older. Like sickle cell, beta thalassemia is an inherited blood disorder.’ https://www.cnn.com/2024/01/16/health/crispr-casgevy-beta-thalassemia/index.html
If it’s January, it means it’s time for me to update my big list of future predictions! I used the 2023 version of this document as a template, and made edits to it as needed. For the sake of transparency, I’ve indicated recently added content by bolding it, and have indicated deleted or moved content with strikethrough.
Like any futurist worth his salt, I’m going to put my credibility on the line by publishing a list of my future predictions. I won’t modify or delete this particular blog entry once it is published, and if my thinking about anything on the list changes, I’ll instead create a new, revised blog entry. Furthermore, as the deadlines for my predictions pass, I’ll reexamine them.
I’ve broken down my predictions by the decade. Any prediction listed under a specific decade will happen by the end of that decade, unless I specify some other date (e.g. – “X will happen early in this decade.”).
2020s
Better, cheaper solar panels and batteries (for grid power storage and cars) will make clean energy as cheap and as reliable as fossil fuel power for entire regions of the world, including some temperate zones. As cost “tipping points” are reached, it will make financial sense for tens of millions of private homeowners and electricity utility companies to install solar panels on their rooftops and on ground arrays, respectively. This will be the case even after government clean energy subsidies are inevitably retracted. However, a 100% transition to clean energy won’t finish in rich countries until the middle of the century, and poor countries will use dirty energy well into the second half of the century.
Fracking and the exploitation of tar sands in the U.S. and Canada will together ensure growth in global oil production until around 2030, at which time the installed base of clean energy and batteries will be big enough to take up the slack. There will be no global energy crisis.
This will be a bad decade for Russia as its overall population shrinks, its dependency ratio rises, and as low fossil fuel prices and sanctions keep hurting its economy. Russia will fall farther behind the U.S., China, and other leading countries in terms of economic, military, and technological might.
China’s GDP will surpass America’s, India’s population will surpass China’s, and China will never claim the glorious title of being both the richest and most populous country.
Improvements to smartphone cameras, mirrorless cameras, and perhaps light-field cameras will make D-SLRs obsolete.
Augmented reality (AR) glasses that are much cheaper and better than the original Google Glass will make their market debuts and will find success in niche applications. Some will grant wearers superhuman visual abilities in the forms of zoom-in and night vision.
Virtual reality (VR) gaming will go mainstream as the devices get better and cheaper. It will stop being the sole domain of hardcore gamers willing to spend over $1,000 on hardware.
Vastly improved VR goggles with better graphics and no need to be plugged into desktop PCs will hit the market. They won’t display perfectly lifelike footage, but they will be much better than what we have today, and portable.
“Full-immersion” audiovisual VR will be commercially available by the end of the decade. These VR devices will be capable of displaying video that is visually indistinguishable from real reality: They will have display resolutions (at least 60 pixels per degree of field of view), refresh rates, head tracking sensitivities, and wide fields of view (210 degrees wide by 150 degrees high) that together deliver a visual experience that matches or exceeds the limits of human vision. These high-end goggles won’t be truly “portable” devices because their high processing and energy requirements will probably make them bulky, give them only a few hours of battery life (or maybe none at all), or even require them to be plugged into another computer. Moreover, the tactile, olfactory, and physical movement/interaction aspects of the experience will remain underdeveloped.
“Deepfake” pornography will reach new levels of sophistication and perversion as it becomes possible to seamlessly graft the heads of real people onto still photos and videos of nude bodies that closely match the physiques of the actual people. New technology for doing this will let amateurs make high-quality deepfakes, meaning any person could be targeted. It will even become possible to wear AR glasses that interpolate nude, virtual bodies over the bodies real people in the wearer’s field of view to provide a sort of fake “X-ray-vision.” The AR glasses could also be used to apply other types of visual filters that degraded real people within the field of view.
“Smart home”/”Wired home” technology will become mature and widespread in developed countries.
Video gaming will dispense with physical media, and games will be completely streamed from the internet or digitally downloaded. Business that exist just to sell game discs (Gamestop) will shut down.
Instead of a typical home entertainment system having a whole bunch of media discs, different media players and cable boxes, there will be one small, multipurpose box that, among other things, boosts WiFi to ensure the TV and all nearby devices can get signals at multi-Gb/s speeds.
Movie subtitles and the very notion of there being “foreign language films” will become obsolete. Computers will be able to perfectly translate any human language into another, to create perfect digital imitations of any human voice, and to automatically apply CGI so that the mouth movements of people in video footage matches the translated words they’re speaking. The machines will also be able to reproduce detailed aspects of an actor’s speech, such as cadence, rhythm, tone and timbre, emotion, and accent, and to convey them accurately in another language.
Self-driving vehicles will start hitting the roads in large numbers in rich countries. The vehicles won’t drive as efficiently as humans (a lot of hesitation and slowing down for little or no reason), but they’ll be as safe as human drivers. Long-haul trucks that ply simple highway routes will be the first category of vehicles to be fully automated. The transition will be heralded by a big company like Wal-Mart buying 5,000 self-driving tractor trailers to move goods between its distribution centers and stores. Last-mile delivery–involving weaving through side streets, cities and neighborhoods, and physically carrying packages to peoples’ doors–won’t be automated until after this decade. Self-driving, privately owned passenger cars will stay few in number and will be owned by technophiles, rich people, and taxi cab companies.
Thanks to improvements in battery energy density and cost, and in fast-charging technology, electric cars will become cost-competitive with gas-powered cars this decade without government subsidies, leading to their rapid adoption. Electric cars are mechanically simpler and more reliable than gas-powered ones, which will hurt the car repair industry. Many gas stations will also go bankrupt or convert to fast charging stations.
Most new power equipment will be battery-powered, so machines like lawn mowers, leaf blowers, and chainsaws will be much quieter and less polluting than they are today. Batteries will be energy-dense enough to compete with gasoline in these use cases, and differences in overall equipment weight and running time will be insignificant. The notion of a neighbor shattering your sense of peace and quiet with loud yard work will get increasingly alien.
A machine will pass the Turing Test by the end of this decade. The milestone will attract enormous amounts of attention and will lead to several retests, some of which the machine will fail, proving that it lacks the full range of human intelligence. It will lead to debate over the Turing Test’s validity as a measure of true intelligence (Ray Kurzweil actually talked about this phenomenon of “moving the goalposts” whenever we think about how smart computers are), and many AI experts will point out the existence of decades-long skepticism in the Turing Test in their community.
The best AIs circa 2029 won’t be able to understand and upgrade their own source codes. They will still be narrow AIs, albeit an order of magnitude better than the ones we have today.
Machines will become better than humans at the vast majority of computer, card, and board games. The only exceptions will be very obscure games or recently created games that no one has bothered to program an AI to play yet. But even for those games, there will be AIs with general intelligence and learning abilities that will be “good enough” to play as well as average humans by reading the instruction manuals and teaching themselves through simulated self-play.
The cost of getting your genome sequenced and expertly interpreted will drop below $1,000, and enough about the human genome will have been deciphered to make the cost worth the benefit for everyone. By the end of the decade, it will be common for newborns in rich countries to have their genomes sequenced.
Better technology will also let pregnant women noninvasively obtain their fetuses’ DNA, at affordable cost.
Cheap DNA tests that can measure a person’s innate IQ and core personality traits with high accuracy will become widely available. There is the potential for this to cause social problems.
At-home medical testing kits and diagnostic devices like swallowable camera-pills will become vastly better and more common.
Space tourism will become routine thanks to privately owned spacecraft.
Marijuana will be effectively decriminalized in the U.S. Either the federal government will overturn its marijuana prohibitions, or some patchwork of state and federal bans will remain but be so weakened and lightly enforced that there will be no real government barriers to obtaining and using marijuana.
By the end of this decade, photos of almost every living person will be available online (mostly on social media). Apps will exist that can scan through trillions of photos to find your doppelgangers.
In 2029, the youngest Baby Boomer and the oldest Gen Xer will turn 65.
Drones will be used in an attempted or successful assassination of at least one major world leader (Note: Venezuela’s Nicholas Maduro wasn’t high profile enough).
2030s
VR and AR goggles will become refined technologies and probably merge into a single type of lightweight device. Like smartphones today, anyone who wants the glasses in 2030 will have them. Even poor people in Africa will be able to buy them. A set of the glasses will last a day on a single charge under normal use.
Augmented reality contact lenses will enter mass production and become widely available, though they won’t be as good as AR glasses and they might need remotely linked, body-worn hardware to provide them with power and data. https://www.inverse.com/article/31034-augmented-reality-contact-lenses
The bulky VR goggles of the 2020s will transform into lightweight, portable V.R. glasses thanks to improved technology. The glasses will display lifelike footage. However, the best VR goggles will still need to be plugged into other devices, like routers or PCs.
Wall-sized, thin, 8K or even 16K TVs will become common in homes in rich countries, and the TVs will be able to display 3D picture without the use of glasses, though the 3D effect will only be visible to people sitting directly in front of the screen. A sort of virtual reality chamber could be created at moderate cost by installing those TVs on all the walls of a room to create a single, wraparound screen.
It will be common for celebrities of all kinds to make money by “hanging out” with paying customers in virtual reality. For some lower-tier celebrities, this will be their sole source of income.
Functional CRT TVs and computer monitors will only exist in museums and in the hands of antique collectors. This will also be true for DLP TVs.
The video game industry will be bigger than ever and considered high art.
It will be standard practice for AIs to be doing hyperrealistic video game renderings, and for NPCs to behave very intelligently thanks to better AI.
Books and computer tablets will merge into a single type of device that could be thought of as a “digital book.” It will be a book with several hundred pages made of thin, flexible digital displays (perhaps using ultra-energy efficient e-ink) instead of paper. At the tap of a button, the text on all of the pages will instantly change to display whichever book the user wanted to read at that moment. They could also be used as notebooks in which the user could hand write or draw things with a stylus, which would be saved as image or text files. The devices will fuse the tactile appeal of old-fashioned books with the content flexibility of tablet computers.
Loose-leaf sheets of “digital paper” will also exist thanks to the same technology.
Commercially available, head-worn, brain-computer-interface devices (BCIs) linked to augmented reality eyewear will gift humans with crude forms of telepathy and telekinesis. For example, a person wearing the devices could compose a short sentence merely by thinking about it, see the text projected across his augmented field of view, use his thoughts to make any needed edits, and then transmit the sentence to another person or machine, merely by thinking a “Send” command. The human recipient of the message with the same BCI/eyewear setup would see the text projected across his field of view and could compose a response through the same process the first person used. BCIs will also let humans send commands to a machines, like printers. For almost all use cases, this type of communication will be less efficient than traditional alternatives, like manually typing a text message or clicking the “Print” button at the top of a word processing application, but it will be an important proof of concept demonstration that will point to what is to come later in the century.
Loneliness, social isolation, and other problems caused by overuse of technology and the atomized structure of modern life will be, ironically, cured to a large extent by technology. Chatbots that can hold friendly (and even funny and amusing) conversations with humans for extended periods, diagnose and treat mental illnesses as well as human therapists, and customize themselves to meet the needs of humans will become ubiquitous. The AIs will become adept at analyzing human personalities and matching lonely people with friends and lovers, at matching them with social gatherings (including some created by machines), and at recommending daily activities that will satisfy them, hour-by-hour. Machines will come to understand that constant technology use is antithetical to human nature, so in order to promote human wellness, they find ways to impel humans to get out of their houses, interact with other humans, and be in nature. Autonomous taxis will also be widespread and will have low fares, making it easier for people who are isolated due to low income or poor health (such as many elderly people) to go out.
Chatbots will steadily improve their “humanness” over the decade. The instances when AIs say or do something nonsensical will get less and less frequent. Dumber people, children, and people with some types of mental illness will be the first ones to start insisting their AIs are intelligent like humans. Later, average people will start claiming the same. By the end of the decade, a personal assistant AI like “Samantha” from the movie Her will be commercially available. AI personal assistants will have convincing, simulated personalities that seem to have the same depth as humans. Users will be able to pick from among personality profiles or to build their own.
Chatbots will be able to have intelligent conversations with humans about politics and culture, to identify factually wrong beliefs, biases, and cognitive blind spots in individuals, and to effectively challenge them through verbal discussion and debate. The potential will exist for technology to significantly enlighten the human population and to reduce sociopolitical polarization. However, it’s unclear how many people will choose to use this technology.
Turing-Test-capable chatbots will also supercharge the problem of online harassment, character assassination, and deliberate disinformation by spamming the internet with negative reviews, bullying messages, emails to bosses, and humiliating “deepfake” photos and videos of targeted people. Today’s “troll farms” where humans sit at computer terminals following instructions to write bad reviews for specific people or businesses will be replaced by AI trolls that can pump out orders of magnitude more content per day. And just as people today can “buy likes” for their social media accounts or business webpages, people in the future will be able, at low cost, to buy harassment campaigns against other people and organizations they dislike. Discerning between machine-generated and human-generated internet content will be harder and more important than ever.
House robots will start becoming common in rich countries. They will be slower at doing household tasks than humans, but will still save people hours of labor per week. They may or may not be humanoid. For the sake of safety and minimizing annoyance, most robots will do their work when humans aren’t around. As in, you would come home from work every day and find the floors vacuumed, the lawn mowed, and your laundered clothes in your dresser, with nary a robot in sight since it will have gone back into its closet to recharge. You would never hear the commotion of a clothes washing machine, a vacuum cleaner or a lawnmower. All the work would get done when you were away, as if by magic.
People will start having genuine personal relationships with AIs and robots. For example, people will resist upgrading to new personal assistant AIs because they will have emotional attachments to their old ones. The destruction of a helper robot or AI might be as emotionally traumatic to some people as the death of a human relative.
Farm robots that are better than humans at fine motor tasks like picking strawberries humans will start becoming widespread.
Self-driving cars will become cheap enough and practical enough for average income people to buy, and their driving behavior will become as efficient as an average human. Over the course of this decade, there will be rapid adoption of self-driving cars in rich countries. Freed from driving, people will switch to doing things like watching movies/TV and eating. Car interiors will change accordingly. Road fatalities, and the concomitant demands for traffic police, paramedics, E.R. doctors, car mechanics, and lawyers will sharply decrease. The car insurance industry will shrivel, forcing consolidation. (Humans in those occupations will also face increasing levels of direct job competition from machines over the course of the decade.)
Private owners of autonomous cars will start renting them out while not in use as taxis and package delivery vehicles. Your personal, autonomous car will drive you to work, then spend eight hours making money for you doing side jobs, and will be waiting for you outside your building at the end of the day.
The “big box” business model will start taking over the transportation and car repair industry thanks to the rise of electric, self-driving vehicles and autonomous taxis in place of personal car ownership. The multitudes of small, scattered car repair shops will be replaced by large, centralized car repair facilities that themselves resemble factory assembly lines. Self-driving vehicles will drive to them to have their problems diagnosed and fixed, sparing their human owners from having to waste their time sitting in waiting rooms.
The same kinds of facilities will make inroads into the junk yard industry, as they would have all the right tooling to cheaply and rapidly disassemble old vehicles, test the parts for functionality, and shunt them to disposal or individual resale. (The days of hunting through junkyards by yourself for a car part you need will eventually end–it will all be on eBay. )
Car ownership won’t die out because it will still be a status symbol, and having a car ready in your driveway will always be more convenient than having to wait even just two minutes for an Uber cab to arrive at the curb. People are lazy.
The ad hoc car rental model exemplified by autonomous Uber cabs and private people renting out their autonomous cars when not in use faces a challenge since daily demand for cars peaks during morning rush hour and afternoon rush hour. In other words, everyone needs a car at the same time each day, so the ratio of cars : people can’t deviate much from, say, 1:2. Of course, if more people telecommuted (almost certain in the future thanks to better VR, faster broadband, and tech-savvy Millennials reaching middle age and taking over the workplace), and if flexible schedules became more widespread (also likely, but within certain limits since most offices can’t function efficiently unless they have “all hands on deck” for at least a few hours each day), the ratio could go even lower. However, there’s still a bottom limit to how few cars a country will need to provide adequate daily transportation for its people.
Private delivery services will get cheaper and faster thanks to autonomous vehicles.
Automation will start having a major impact on the global economy. Machines will compensate for the shrinkage of the working-age human population in the developed world. Countries with “graying” populations like Japan and Germany will experience a new wave of economic growth. Demand for immigrant laborers will decrease across the world because of machines.
There will be a worldwide increase in the structural unemployment rate thanks to better and cheaper narrow AIs and robots. A plausible scenario would be for the U.S. unemployment rate to be 10%–which was last the case at the nadir of the Great Recession–but for every other economic indicator to be strong. The clear message would be that human labor is becoming decoupled from the economy.
Combining all the best AI and robotics technologies, it will be possible to create general-purpose androids that could function better in the real world (e.g. – perform in the workplace, learn new things, interact with humans, navigate public spaces, manage personal affairs) than the bottom 10% of humans (e.g. – elderly people, the disabled, criminals, the mentally ill, people with poor language abilities or low IQs), and in some narrow domains, the androids will be superhuman (e.g. – physical strength, memory, math abilities). Note that businesses will still find it better to employ task-specific, non-human-looking robots instead of general purpose androids. The androids will be very few in number by the end of 2039, and will be technology demonstrators and prototypes that get a lot of media coverage at carefully controlled tech company demo events. They won’t be available for any person to purchase, won’t roam around public spaces, and won’t have important jobs. At a minimum, each one will cost hundreds of thousands of dollars.
By the end of this decade, only poor people, lazy people, and conspiracy theorists (like anti-vaxxers) won’t have their genomes sequenced. It will be trivially cheap, and in fact free for many people (some socialized health care systems will fully subsidize it), and enough will be known about the human genome to make it worthwhile to have the information.
Computers will be able to accurately deduce a human’s outward appearance based on only a DNA sample. This will aid police detectives, and will have other interesting uses, such as allowing parents to see what their unborn children will look like as adults, or allowing anyone to see what they’d look like if they were of the opposite sex (one sex chromosome replaced).
Trivially cheap gene sequencing and vastly improved knowledge of the human genome will give rise to a “human genome black market,” in which people secretly obtain DNA samples from others, sequence them, and use the data for their own ends. For example, a politician could be blackmailed by an enemy who threatened to publish a list of his genetic defects or the identities of his illegitimate children. Stalkers (of celebrities and ordinary people) would also be interested in obtaining the genetic information of the people they were obsessed with. It is practically impossible to prevent the release of one’s DNA since every discarded cup, bottle, or utensil has a sample.
Markets will become brutally competitive and efficient thanks to AIs. Companies will sharply grasp consumer demand through real-time surveillance, and will use dynamic pricing much more widely and for everyday goods and services, and consumers will be alerted to bargains by their personal AIs and devices (e.g. – your AR glasses will visually highlight good deals as you walk through the aisles of a store). Your personal assistant AIs and robots will look out for your self-interest by countering the efforts of other AIs to sway your spending habits in ways that benefit companies and not you.
“Digital immortality” will become possible for average people. Personal assistant AIs, robot servants, and other monitoring devices will be able, through observation alone, to create highly accurate personality profiles of individual humans, and to anticipate their behavior with high fidelity. Voices, mannerisms and other biometrics will be digitally reproducible without any hint of error. Digital simulacra of individual humans will be further refined by having them take voluntary personality tests, and by uploading their genomes, brain scans and other body scans. Even if all of the genetic and biological data couldn’t be made sense of at the moment it was uploaded to an individual’s digital profile, there will be value in saving it since it might be decipherable in the future. (Note that “digital immortality” is not the same as “mind uploading.”)
Life expectancy will have increased by a few years thanks to pills and therapies that slightly extend human lifespan. Like, you take a $20 pill each day starting at age 20 and you end up dying at age 87 instead of age 84.
Global oil consumption will peak as people continue switching to other power sources.
Earliest possible date for the first manned Mars mission.
Machines will become as good as professional humans at language translation.
Movie subtitles and the very notion of there being “foreign language films” will become obsolete. Computers will be able to perfectly translate any human language into another, to create perfect digital imitations of any human voice, and to automatically apply CGI so that the mouth movements of people in video footage matches the translated words they’re speaking. The machines will also be able to reproduce detailed aspects of an actor’s speech, such as cadence, rhythm, tone and timbre, emotion, and accent, and to convey them accurately in another language. [Moved to the 2020s due to more rapid advances in this technology in 2022 and 2023]
Computers will also be able to automatically enhance and upscale old films by accurately colorizing them, removing defects like scratches, and sharpening or focusing footage (one technique will involve interpolating high-res still photos of long-dead actors onto the faces of those same actors in low-res moving footage). Computer enhancement will be so good that we’ll be able to watch films from the early 20th century with near-perfect image and audio clarity.
CGI will get so refined than moviegoers with 20/20 vision won’t be able to see the difference between footage of unaltered human actors and footage of 100% CGI actors.
Lifelike CGI and “performance capture” will enable “digital resurrections” of dead actors. Computers will be able to scan through every scrap of footage with, say, John Wayne in it, and to produce a perfect CGI simulacrum of him that even speaks with his natural voice, and it will be seamlessly inserted into future movies. Elderly actors might also license movie studios to create and use digital simulacra of their younger selves in new movies. The results will be very fascinating, but might also worsen Hollywood’s problem with making formulaic content.
Machines will be able to imitate the voices of specific humans so accurately that most human listeners won’t be able to tell the difference. Those that can reliably detect any difference will find it very faint.
Smartphone apps will be able to remotely monitor a person’s vital statistics and to quickly derive a wealth of data about things like their emotional state, health, age, and truthfulness from factors like their heart rate, breathing pattern, body movements, microexpressions, and speech patterns.
Tiny cameras that can capture and transmit high resolution footage will be available for a few dollars apiece. A device the size of a sugar cube that has enough memory and battery life to record video footage for several hours would fit the bill.
China’s military will get strong enough to defeat U.S. forces in the western Pacific. This means that, in a conventional war for control of the Spratly Islands and/or Taiwan, China would have >50% odds of winning. This shift in the local balance of power does not mean China will start a conflict.
The quality and sophistication of China’s best military technology will surpass Russia’s best technology in all or almost all categories. However, it will still lag the U.S.
2040s
The world and peoples’ outlooks and priorities will be very different than they were in 2019. Cheap renewable energy will have become widespread and totally negated any worries about an “energy crisis” ever happening, except in exotic, hypothetical scenarios about the distant future. There will be little need for immigration thanks to machine labor and cross-border telecommuting (VR, telepresence, and remote-controlled robots will be so advanced that even blue-collar jobs involving manual labor will be outsourced to workers living across borders). Moreover, there will be a strong sense in most Western countries that they’re already “diverse enough,” and that there are no further cultural benefits to letting in more foreigners since large communities of most foreign ethnic groups will already exist within their borders. There will be more need than ever for strong social safety nets and entitlement programs thanks to technological unemployment. AI will be a central political and social issue. It won’t be the borderline sci-fi, fringe issue it was in 2019.
Automation, mass unemployment, wealth inequalities between the owners of capital and everyone else, and differential access to expensive human augmentation technologies (like genetic engineering) will produce overwhelming political pressure for some kind of wealth redistribution and social safety net expansion. Countries that have diligently made small, additive reforms as necessary over the preceding decades will be untroubled. However, countries that failed to adapt their political and economic systems will face upheaval.
2045 will pass without the Technological Singularity happening. Ray Kurzweil will either celebrate his 97th birthday in a wheelchair, or as a popsicle frozen at the Alcor Foundation.
Supercomputers that match or surpass upper-level estimates of the human brain’s computational capabilities will cost a few hundred thousand to a few million dollars apiece, meaning tech companies and universities will be able to afford large numbers of them for AI R&D projects, accelerating progress in the field. Hardware will no longer be the limiting factor to building AGI. If it hasn’t been built yet, it will be due to failure to figure out how to arrange the hardware in the right way to support intelligent thought, and/or to a failure to develop the necessary software.
With robots running the economy, it will be common for businesses to operate 24/7: restaurants will never close, online orders made at 3:00 am will be packed in boxes by 3:10 am, and autonomous delivery trucks will only stop to refuel, exchange cargo, or get preventative maintenance.
Advanced energy technology, robot servants, 3D printers, telepresence, and other technologies will allow people to live largely “off-grid” if they choose, while still enjoying a level of comfort that 2019 people would envy.
Robot servants will be common in upper-income and middle-class households across the developed world. Some will be function-specific, like autonomous lawn mowers, while others will be multifunctional, like robot butlers. They will work more slowly than humans and will make mistakes more often, but nevertheless, they will save their human owners many hours of work each week. A high-quality multifunction robot servant will cost $5,000 – $20,000 in today’s money. In other words, cheaper than a new car, but still a significant investment of money.
Androids will be significantly better than they were in the 2030s, and aspects of their physiques, intelligence, and capabilities will overlap even more with humans, but they still won’t be able to pass as one of us in normal situations. If you could examine one at very close distance, you would see that its skin and other external features were less detailed than those of real humans. Their body movements will be clumsier and more limited than the average human’s, probably leaving them with the same overall reflexes, nimbleness, balance, and speed as an elderly human. They will also lack the battery life to function for a whole work day in physically demanding occupations.
Recycling will become much more efficient and practical thanks to house robots properly cleaning, sorting, and crushing/compacting waste before disposing of it. Automated sorting machines at recycling centers will also be much better than they are today. Today, recycling programs are hobbled because even well-meaning humans struggle to remember which of their trash items are recyclable and which aren’t since the acceptable items vary from one municipality to the next, and as a result, recycling centers get large amounts of unusable material, which they must filter out at great cost. House robots would remember it perfectly.
Thanks to this diligence, house robots will also increase backyard composting, easing the burden on municipal trash services.
Genetic engineering of offspring becomes about as common among richer people as IVF is among them in 2023. The engineered offspring aren’t “superhumans”–they’re slightly better than they would have been without technological intervention.
It will be common for cities, towns and states to heavily restrict or ban human-driven vehicles within their boundaries. A sea change in thinking will happen as autonomous cars become accepted as “the norm,” and human-driven cars start being thought of as unusual and dangerous.
There will be something that could be called a “self-driving RV vacation industry” wherein a person would rent a self-driving RV that would be programmed to take them on a multi-day tour of some area, hitting all the important sights. At each one, a virtual tour guide that the person could see, hear and interact with through smart glasses would lead them around on foot.
Over 90% of new car sales in developed countries will be for electric vehicles. Just as the invention of the automobile transformed horses into status goods used for leisure, the rise of electric vehicles will transform internal combustion vehicles into a niche market for richer people.
A global “family tree” showing how all humans are related will be built using written genealogical records and genomic data from the billions of people who have had their DNA sequenced. It will become impossible to hide illegitimate children, and it will also become possible for people to find “genetic doppelgangers”–other people they have no familial relationship to, but with whom, by some coincidence, they share a very large number of genes.
Improved knowledge of human genetics and its relevance to personality traits and interests will strengthen AI’s ability to match humans with friends, lovers, and careers. Rising technological unemployment will create a need for machines to match human workers with the remaining jobs in as efficient a manner as possible.
People with distinctive personalities (particularly vibrant, funny, or sexy) will routinely sell “digital copies” of themselves for other people to download and use as AI personal assistants. This will be analogous to today’s ability to select different voices for personal GPS devices. Additionally, users will be able to tweak “base versions” of downloaded personalities to suit their unique preferences.
The digital personalities of fictitious people, like movie and cartoon characters, and of long-dead people, will also be downloadable.
Realistic robot sex bots that can move and talk will exist. They won’t perfectly mimic humans, but will be “good enough” for most users. Using them will be considered weird and “for losers” at first, but in coming decades it will go mainstream, following the same pattern as Internet dating. [If we think of sex as a type of task, and if we agree that machines will someday be able to do all tasks better than humans, then it follows that robots will be better than humans at sex.]
Augmented reality contact lenses will give people superhuman vision.
3D TVs will improve. Among other things, multiple viewers watching the same TV from different viewing angles will experience the 3D visual effect.
Any person will be able to use his personal technologies to create a highly immersive audiovisual experience almost anywhere. For example, a person’s computer glasses could simulate the experience of being in an IMAX movie theater. Alternatively, the person could use his smartphone or another device to beam video images against a wall, creating an ad hoc theater for real. Major improvements to the price-performance and energy efficiency of LEDs and lasers will let small personal devices to have inbuilt light projectors that match the quality of professional-quality projectors that cost thousands of dollars today.
Obesity rates in rich and middle income countries peak and start declining, mostly thanks to the weight loss drugs invented in the 2020s becoming open to generic manufacture.
The richest person alive will achieve a $1 trillion net worth.
There will be drones that can use facial recognition and other forms of recognition to autonomously track down specific people and kill them. The simplest versions of those weapons will be small kamikaze drones that crash into their targets and blow up on impact.
At least one major military will be using some type of combat robot (whether it is airborne, seaborne, or terrestrial) that is empowered to fire on human enemies autonomously.
2050s
This is the earliest possible time that AGI/SAI will be invented. It will not be able to instantly change everything in the world or to initiate a Singularity, but it will rapidly grow in intelligence, wealth, and power. It will probably be preceded by successful computer simulations of the brains of progressively more complex model organisms, such as flatworms, fruit flies, and lab rats. Also, there won’t be a discrete moment in time when machines “become intelligent”–instead, there will be a multi-year period of time where machines surpass humans in an ever-growing number of areas. Looking back, it won’t be possible to say at which moment the first machine became intelligent. Using different definitions and tests of “intelligence,” it will be possible to argue that AGI/SAI was achieved by different computers at different points in the multi-year period of time. (Likewise, biologists can’t agree on the exact moment or even the exact millennium when our hominid ancestors became “intelligent.”)
Humans will be heavily dependent upon their machines for almost everything (e.g. – friendship, planning the day, random questions to be answered, career advice, legal counseling, medical checkups, driving cars), and the dependency will be so ingrained that humans will reflexively assume that “The Machines are always right.” Consciously and unconsciously, people will yield more and more of their decision-making and opinion-forming to machines, and find that they and the world writ large are better off for it. This will be akin to having an angel on your shoulder watching your surroundings and watching you, and giving you constructive advice all the time.
In the developed world, less than 50% of people between age 22 and 65 will have gainful full-time jobs. However, if unprofitable full-time jobs that only persist thanks to government subsidies (such as someone running a small coffee shop and paying the bills with their monthly UBI check) and full-time volunteer “jobs” (such as picking up trash in the neighborhood) are counted, most people in that age cohort will be “doing stuff” on a full-time basis.
The doomsaying about Global Warming will start to quiet down as the world’s transition to clean energy hits full stride and predictions about catastrophes from people like Al Gore fail to pan out by their deadlines. Sadly, people will just switch to worrying about and arguing about some new set of doomsday prophecies about something else.
By almost all measures, standards of living will be better in 2050 than today. People will commonly have all types of wonderful consumer devices and appliances that we can’t even fathom. However, some narrow aspects of daily life are likely to worsen, such as overcrowding and further erosion of the human character. Just as people today have short memories and take too many things for granted, so shall people in the 2050s fail to appreciate how much the standard of living has risen since today, and they will ignore all the steady triumphs humanity has made over its problems, and by default, people will still believe the world is constantly on the verge of collapsing and that things are always getting worse.
Cheap desalination will provide humanity with unlimited amounts of drinking water and end the prospect of “water wars.”
Mass surveillance and ubiquitous technology will have minimized violent crime and property crime in developed countries: It will be almost impossible to commit such crimes without a surveillance camera or some other type of sensor detecting the act, or without some device recording the criminal’s presence in the area at the time of the act. House robots will contribute by effectively standing guard over your property at night while you sleep.
It will be common for people to have health monitoring devices on and inside of their bodies that continuously track things like their heart rate, blood pressure, respiration rate, and gene expression. If a person has a health emergency or appears likely to have one, his or her devices will send out a distress signal alerting EMS and nearby random citizens. If you walked up to such a person while wearing AR glasses, you would see their vital statistics and would receive instructions on how to assist them (i.e. – How to do CPR). Robots will also be able to render medical aid.
Cities and their suburbs across the world will have experienced massive growth since 2019. Telepresence, relatively easy off-grid living, and technological unemployment will not, on balance, have driven more people out of metro areas than have migrated into them. Farming areas full of flat, boring land will have been depopulated, and many farms will be 100% automated. The people who choose to leave the metro areas for the “wilderness” will concentrate in rural areas (including national parks) where the climate is good, the natural scenery is nice, and there are opportunities for outdoor recreation. Real estate prices will, in inflation-adjusted terms, be much higher in most metro areas and places with natural beauty than they were in 2020 because the “supply” of those prime locations is almost fixed, whereas the demand for them is elastic and will rise thanks to population growth, rising incomes, and the aforementioned technology advancements.
Therapeutic cloning and stem cell therapies will become useful and will effectively extend human lifespan. For example, a 70-year-old with a failing heart will be able to have a new one grown in a lab using his own DNA, and then implanted into his chest to replace the failing original organ. The new heart will be equivalent to what he had when at age 18 years, so it will last another 52 years before it too fails. In a sense, this will represent age reversal to one part of his body.In a sense, this will represent age reversal to one part of his body.
As a result of the above technologies, it will be much rarer for people in rich countries to die waiting for organ transplants than it is now, in 2022.
The first healthy clone of an adult human will be born.
The cloning of cats and dogs will get cheap enough for middle income people to afford it.
Many factories, farms, and supply chains will be 100% automated, and it will be common for goods to not be touched by a human being’s hands until they reach their buyers. Robots will deliver Amazon packages to your doorstep and even carry them into your house. Items ordered off the internet will appear inside your house a few hours later, as if by magic.
Smaller versions of the robots used on automated farms will be available at low cost to average people, letting them effortlessly create backyard gardens. This will boost global food production and let people have greater control over where their food comes from and what it contains.
The last of America’s Cold War-era weapon platforms (e.g. – the B-52 bomber, F-15 fighter, M1 Abrams tank, Nimitz aircraft carrier) will finally be retired from service. There will be instances where four generations of people from the same military family served on the same type of plane or ship.
Cheap guided bullets, which can make midair course changes and be fired out of conventional man-portable rifles, will become common in advanced armies.
Personal “cloaking devices” made of clothes studded with pinhole cameras and thin, flexible sheets of LEDs, colored e-ink, or some metamaterial with similar abilities will be commercially available. The cameras will monitor the appearance of the person’s surroundings and tell the display pixels to change their colors to match.
The “cloaking” outfits will also have benign applications related to fashion and everyday utility. People wearing them could use them to display morphing patterns and colors of their choice. It would even be possible to become a “walking TV.” The pixels could also be made to glow bright white, allowing the wearer to turn any part of his body into a flashlight. Ski masks made of the same material would let wearers change their facial features, fooling most face recognition cameras and certainly fooling the unaided eyes of humans, at least at a distance.
Powered exoskeletons will become practical for a wide range of applications, mainly due to improvements in batteries. For example, a disabled person could use a lightweight exoskeleton with a battery the size of a purse to walk around for a whole day on a single charge, and a soldier in a heavy-duty exoskeleton with a large backpack battery could do a day of marching on a single charge. (Note: Even though it will be technologically possible to equip infantrymen with combat exoskeletons, armies might reject the idea due to other impracticalities.)
There will be no technological or financial barrier to building powered combat exoskeletons that have cloaking devices.
The richest person alive will achieve a $1 trillion net worth. [Moved to the 2040s due to shifting trends in inflation and net worth growth among the richest people.]
It will be technologically and financially feasible for small aircraft to produce zero net carbon emissions. The aircraft might use conventional engines powered by carbon-neutral synthetic fossil fuels that cost no more than normal fossil fuels, or they might have electric engines and very energy-dense batteries or fuel cells.
Cheap guided bullets, capable of midair course changes to hit targets and of being fired out of conventional rifles, will become common in advanced armies. (One or two degrees of course change per 100 meters of bullet travel is realistic. ) Practical, affordable rifles capable of limited self-aiming will also exist (similar to the “Smartgun” from the movie Aliens). Thanks to these technologies, an ordinary rifleman of the 2050s will be like the snipers of today.
2060s
Machines will be better at satisfyingly matching humans with fields of study, jobs, friends, romantic partners, hobbies, and daily activities than most humans can do for themselves. Machines themselves will make better friends, confidants, advisers, and even lovers than humans. Additionally, machines will be smarter and more skilled at humans in most areas of knowledge and types of work. A cultural sea change will happen, in which most humans come to trust, rely upon, defend, and love machines.
House robots and human-sized worker robots will be as strong, agile, and dexterous as most humans, and their batteries will be energy-dense enough to power them for most of the day. A typical American family might have multiple robot servants that physically follow around the humans each day to help with tasks. The family members will also be continuously monitored and “followed” by A.I.s embedded in their portable personal computing devices and possibly in their bodies.
Cheap home delivery of groceries, robot chefs, and a vast trove of free online recipes will enable people in average households to eat restaurant-quality meals at home every day, at low cost. Predictive algorithms that can appropriately choose new meals for humans based on their known taste preferences and other factors will determine the menu, and many people will face a culinary “satisfaction paradox.”
Average people will have access to high-quality meals that only rich people can have today at fancy restaurants.
Machines will understand humans individually and at the species level better than humans understand themselves. They will have highly accurate personality models of most humans along with a comprehensive grasp of human sociology, human decision-making, human psychology, human cognitive biases, and human nature, and will pool the information to accurately predict human behavior. A nascent version of a 1:1 computer simulation of the Earth–with the human population modeled in great detail–will be created. An important application will be economic modeling and forecasting.
Machines will be better teachers than most trained humans. The former will have much sharper grasps of their pupils’ individual strengths, weaknesses, interests, and learning styles, and will be able to create and grade tests in a much fairer and less biased manner than humans. Every person will have his own tutor.
There will be a small, permanent human presence on the Moon.
If a manned Mars mission hasn’t happened yet, then there will be intense pressure to do so by the centennial of the first Moon landing (1969).
The worldwide number of supercentenarians–people who are at least 110 years old–will be sharply higher than it was in 2019: Their population size could be 10 times bigger or more.
Advances in a variety of technologies will make it possible to cryonically freeze humans in a manner that doesn’t pulverize their tissue. However, the technology needed to safely thaw them out won’t be invented for decades.
China will effectively close the technological, military, and standard of living gaps with other developed countries. Aside from the unpleasantness of being a more crowded place, life in China won’t be worse overall than life in Japan or the average European country. Importantly, China’s pollution levels will be much lower than they are today thanks to a variety of factors.
Small drones (mostly aerial) will have revolutionized warfare, terrorism, assassinations, and crime and will be mature technologies. An average person will be able to get a drone of some kind that can follow his orders to find and kill other people or to destroy things.
Countermeasures against those small drones will also have evolved, and might include defensive drones and mass surveillance networks to detect drone attacks early on. The networks would warn people via their body-worn devices of incoming drone attacks or of sightings of potentially hostile drones. The body-worn devices, such as smartphones and AR glasses, might even have their own abilities to automatically detect drones by sight and sound and to alert their wearers.
At least one large, manned spaceship that is designed to stay in space will exist, probably in the form of a reusable ferry that moves people between Earth and Mars.
2070s
There has been at least one incident where an AI, either deliberately or inadvertently, took an action that killed thousands of humans and caused billions of dollars in damage. However, the problem was contained by humans–who still control most of the world’s infrastructure and resources–and by AIs that stayed friendly to us. Our first experience with a hostile AGI or nonaligned AGI will not be cataclysmic, as it is in most sci-fi films about the topic. This success doesn’t mean our luck will last forever.
100 years after the U.S. “declared war” on cancer, there still will not be a “cure” for most types of cancer, but vaccination, early detection, treatment, and management of cancer will be vastly better, and in countries with modern healthcare systems, most cancer diagnoses will not reduce a person’s life expectancy. Consider that diabetes and AIDS were once considered “death sentences” that would invariably kill people within a few years of diagnosis, until medicines were developed that transformed them into treatable, chronic health conditions.
Hospital-acquired infections will be far less of a problem than they are in 2020 thanks to better sterilization practices, mostly made possible by robots.
It will be technologically and financially feasible for large commercial aircraft to produce zero net carbon emissions. The aircraft might use conventional engines powered by synthetic fossil fuels, or they might have electric engines and very energy-dense batteries or fuel cells.
Digital or robotic companions that seem (or actually are) intelligent, funny, and loving will be easier for humans to associate with than other humans.
Technology will enable the creation of absolute surveillance states, where all human behavior is either constantly monitored or is inferred with high accuracy based on available information. Even a person’s innermost thoughts will be knowable thanks to technologies that monitor him or her for the slightest things like microexpressions, twitches, changes in voice tone, and eye gazes. When combined with other data regarding how the person spends their time and money, it will be possible to read their minds. The Thought Police will be a reality in some countries.
Thanks to mass surveillance, and the gathering and sharing of biometric data, you’ll never be a stranger to an intelligent machine or to a human with access to the right software and devices. For example, if you go on a vacation to a new country on the other side of the world, the android waiter at a restaurant will know your name and preferences after glancing at your face.
Thanks to advanced lab synthesis of foods, new spices, hybrid fruits and vegetables, and meats with entirely new taste profiles will be brought into existence. Swaths of the “landscape of all possible flavors” that are currently unexplored will be.
Many heavily automated farms (including indoor farms and gardens on suburban plots of land) will produce food that is noticeably tastier and measurably more nutritious that most of today’s food because the advanced farms won’t need to use pesticides or to favor crop varieties that are hardy enough to endure transport over long supply chains. At low cost and for little effort, communities and individuals with small amounts of land will be able to meet their own food needs locally. People who value “natural” lifestyles might, ironically, find it most beneficial to rely on robots to make their food for them.
Glasses-free 3D TVs will be almost fully developed technologies with few performance limitations.
A slew of weapons technologies, including self-aiming guns, highly advanced scopes, and guided bullets, will give infantrymen incredible levels of battlefield potency. Common feats will include the doubling the maximum lethal range against human targets, sniper-like accuracy from rapid fire, the ability to shoot down low-flying aircraft, to cripple vehicles from long distances with bullets through their vital components like tires and gas tanks, and the disabling of tanks by destroying their fragile external sensors or sending bullets directly down the barrels of their main guns to hit the shells loaded in them.
2100
Humans probably won’t be the dominant intelligent life forms on Earth.
Latest possible time that AGI/SAI will be invented. By this point, computer hardware will so powerful that we could do 1:1 digital simulations of human brains. If our AI still falls far short of human-like general intelligence and creativity, then it might be that only organic substrates have the necessary properties to support them.
The worst case scenario is that AGI/Strong AI will have not been invented yet, but thousands of different types of highly efficient, task-specific Narrow AIs will have (often coupled to robot bodies), and they will fill almost every labor niche better than human workers ever could (“Death by a Thousand Cuts” job automation scenario). Humans grow up in a world where no one has to work, and the notion of drudge work, suffering through a daily commute, and involuntarily waking up at 6:00 am five days a week is unfathomable. Every human will have machines that constantly monitor them or follow them around, and meet practically all their needs.
Telepresence technology will also be very advanced, allowing humans to do nearly any task remotely, from any other place in the world, in safety and comfort. This will include cognitive tasks and hands-on tasks. If any humans still have jobs, they’ll be able to work from anywhere.
Sophisticated narrow AI will be integrated into the telepresence technology, providing human workers with real-time assistance with tasks. An illustrative scenario would have a human in Nigeria using a VR rig to remotely control a robot that is fixing an air conditioner in England. Software programs monitoring the live video feed would recognize all of the objects in the robot’s field of view and would also understand what the human worker was trying to accomplish, and the programs would help him by visually highlighting tools or air conditioner components, or by giving him verbal advice on what to do.
The use of robotic surrogate bodies for remote work will also erase any employment gaps caused by physical strength and endurance differences between the sexes and between the elderly and the young. Small men, old people, and women of average stature will be just as good at performing hard manual labor as big men. The easing of physical strain associated with work will also allow people to work past today’s retirement age. However, most serious physical work will be best left to autonomous machines.
The world could in many ways resemble Ray Kurzweil’s predicted Post-Singularity world. However, the improvements and changes will have accrued thanks to decades of AGI/Strong AI steady effort. Everything will not instantly change on DD/MM/2045 as Kurzweil suggests it will.
At least one, non-aligned AGI has done serious damage to humans, comparable in terms of deaths and economic losses to a major natural disaster or small war.
The global population of autonomous robots will be within an order of magnitude of the human population. It will be very common to see robots in homes, workplaces, public spaces, and even in wilderness areas.
The global population of AIs and digital uploads of dead humans is also within an order of magnitude of the human population.
Hundreds of millions, and possibly billions, of “digitally immortal avatars” of dead humans will exist, and you will be able to interact with them through a variety of means (in FIVR, through devices like earpieces and TV screens, in the real world if the avatar takes over an android body resembling the human it was based on).
A weak sort of immortality will be available thanks to self-cloning, immortal digital avatars, and perhaps mind uploading. You could clone yourself and instruct your digital avatar–which would be a machine programmed with your personality and memories–to raise the clone and ensure it developed to resemble you. Your digital avatar might have an android body or could exist in a disembodied state.
It will be possible to make clones of humans using only their digital format genomic data. In other words, if you had a .txt file containing a person’s full genetic code, you could use that by itself to make a living, breathing clone. Having samples of their cells would not be necessary.
The “DNA black market” that arose in the 2030s will pose an even bigger threat since it will be now possible to use DNA samples alone or their corresponding .txt files to clone a person or to produce a sperm or egg cell and, in turn, a child. Potential abuses include random people cloning or having the children of celebrities they are obsessed with, or cloning billionaires in the hopes of milking the clones for money. Important people who might be targets of such thefts will go to pains to prevent their DNA from being known. Since dead people have no rights, third parties might be able to get away with cloning or making gametes of the deceased.
Life expectancy escape velocity and perhaps medical immortality will be achieved. It will come not from magical, all-purpose nanomachines that fix all your body’s cells and DNA, but from a combination of technologies, including therapeutic cloning of human organs, cybernetic replacements for organs and limbs, and stem cell therapies that regenerate ageing tissues and organs inside the patient’s body. The treatments will be affordable in large part thanks to robot doctors and surgeons who work almost for free, and to medical patents expiring.
All other aspects of medicine and healthcare will have radically advanced. There will be vaccines and cures for almost all contagious diseases. We will be masters of human genetic engineering and know exactly how to produce people that today represent the top 1% of the human race (holistically combining IQ, genetic health, physical attractiveness, and likable/prosocial personality traits). However, the value of even a genius-IQ human will be questionable since intelligent machines will be so much smarter.
Augmentative cybernetics (including direct brain-to-computer links) will exist and be in common use.
While the traditional, “pure” races of humans will all still exist, notions of “race” and racial identity will be scrambled by the large numbers of mixed-race people who will be alive, and by widespread genetic engineering that will give people combinations of physical traits that were almost unachievable through normal human breeding. Examples might include black people with naturally blue eyes, or East Asians with naturally blonde hair. (Voluntary genetic engineering will also ensure that redheads don’t ever die out.) Some people will even have totally new genes, either synthesized in labs or borrowed from animals, that give them physical traits not found in any preexisting human race, like red eyes or purple hair.
Full-immersion virtual reality (FIVR) will exist wherein AI game masters constantly tailor environments, NPCs and events to suit each player’s needs and to keep them entertained. Every human will have his own virtual game universe where he’s #1. With no jobs in the real world to occupy them, it’s quite possible that a large fraction of the human race will willingly choose to live in FIVR. (Related to the satisfaction paradox) Elements of these virtual environments could be pornographic and sexual, allowing people to gratify any type of sexual fetish or urge with computer-generated scenarios and partners.
More generally, AIs and humans whose creativity is turbocharged by machines will create enjoyable, consumable content (e.g. – films, TV shows, songs, artwork, jokes, new types of meals) faster than non-augmented humans can consume it. As a simple example of what this will be like, assume you have 15 hours of free time per day, that you love spending it listening to music, and each day, your favorite bands produce 16 hours worth of new songs that you really like.
TVs will be capable of true holography, with no visual distortions or flaws.
The vast majority of unaugmented human beings will no longer be assets that can invent things and do useful work: they will be liabilities that do (almost) everything worse than intelligent machines and augmented humans. Ergo, the size of a nation’s human population will subtract from its economic and military power, and radical shifts in geopolitics are possible. Geographically large but sparsely populated countries like Russia, Australia and Canada might become very strong.
The transition to green energy sources will be complete, and humans will no longer be net emitters of greenhouse gases. The means will exist to start reducing global temperatures to restore the Earth to its pre-industrial state, but people will resist because they will have gotten used to the warmer climate. People living in Canada and Russia won’t want their countries to get cold again.
Synthetic meat will taste no different from animal meat, and will be at least as cheap to make. The raising and/or killing of animals for food will be be illegal in many countries, and trends will clearly show the practice heading for worldwide ban.
Meats that are expensive and/or rare today, like Kobe beef steaks, snakes, bats, or even human flesh, will be cheap and widely available thanks to meat synthesis technology.
Cheap, synthetic chicken eggs will also exist and will taste no different from natural eggs.
The means to radical alter human bodies, alter memories, and alter brain structures will be available. The fundamental bases of human existence and human social dynamics will change unpredictably once differences in appearance/attractiveness, intelligence, and personality traits can be eliminated at will. Individuals won’t be defined by fixed attributes anymore.
The ability to delete bad memories and to control brain activity will cure many mental illnesses.
Brain implants will make “telepathy” possible between humans, machines and animals. Computers, sensors and displays will be embedded everywhere in the built environment and in nature, allowing humans with brain implants to interface with and control things around them through thought alone. This doesn’t mean traditional ways of communicating and doing things (like speaking and physically pushing buttons or turning doorknobs) will die out.
Brain implants and brain surgeries will also be used to enhance IQ, change personality traits, and strengthen many types of skills.
Using brain-computer interfaces, people will be able to make sophisticated songs and pieces of artwork with their thoughts alone.
For aesthetic and safety reasons, the overwhelming majority of humans who have brain or body implants will only have internal implants that are invisible to other people. “Borg-like” implants that protrude from a person’s skin will be rare.
Technologically augmented humans and androids will have many abilities and qualities that ancient people considered “Godlike,” such as medical immortality, the ability to control objects by thought, telepathy, perfect memories, and superhuman senses.
Flying cars designed to carry humans could be common, but they will be flown by machines, not humans. Ground vehicles will retain many important advantages (fuel efficiency, cargo capacity, safety, noise level, and more) and won’t become obsolete. Instead of flying cars, it’s more likely that there will be millions of small, autonomous helicopters and VTOL aircraft that will cheaply ferry people through dense, national networks of helipads and airstrips. Autonomous land vehicles would take take passengers to and from the landing sites. (https://www.militantfuturist.com/why-flying-cars-never-took-off-and-probably-never-will/)
The notion of vehicles (e.g. – cars, planes, and boats) polluting the air will be an alien concept.
Advanced nanomachines could exist.
Vastly improved materials and routine use of very advanced computer design simulations (including simulations done in quantum computers) will mean that manufactured objects of all types will be optimally engineered in every respect, and might seem to have “magical” properties. For example, a car will be made of hundreds of different types of alloys, plastics, and glass, each optimized for a different part of the vehicle, and car recalls will never happen since the vehicles will undergo vast amounts of simulated testing in every conceivable driving condition in 1:1 virtual simulations of the real world.
Design optimization and the rise of AGI consumption will virtually eliminate planned obsolescence. Products that were deliberately engineered to fail after needlessly short periods, and “new” product lines that were no better than what they replaced, but had non-interchangeable part sizes would be exposed for what they were, and AGI consumers would refuse to buy them. Production will become much more efficient and far fewer things will be thrown out.
Relatively cheap interplanetary travel (probably just to Mars and to space stations and moons that are about as far as Mars) will exist.
Androids that are outwardly indistinguishable from humans will exist, and humans will hold no advantages over them (e.g. – physical dexterity, fine motor control, appropriateness of facial expressions, capacity for creative thought). Some androids will also be indistinguishable to the touch, meaning they will seem to be made of supple flesh and will be the same temperature as human bodies. However, their body parts will not be organic.
Sex robots will be indistinguishable from humans.
Android assassins like the T-800s from the Terminator films will exist. They will look identical to humans, will be able to blend into human populations, track down targets, and kill or abduct them. As in the films, these androids will be stronger, more durable, and more skilled with weapons than we are.
Some robots will carry drones meant to detach from them to autonomously perform specific tasks and then return. Some will also be able to detach their body parts (like a hand) to do the same.
Robots that are outwardly identical to sci-fi and fantasy characters and extinct animals, like grey aliens, elves, fairies, giant house cats, and dinosaurs, will exist and will occasionally be seen in public. Some weird person will want their robot butler to look like bigfoot, and at least one hobbyist will build a life-sized robotic dragon that can fly and spit fire. https://www.mentalfloss.com/article/503967/could-game-throness-dragons-really-fly-we-asked-some-experts
Humans interested in extreme body modifications will be able to surgically alter themselves to look like many of those creatures.
Machines that are outwardly indistinguishable from animals will also exist, and they will have surveillance and military applications.
Drones, miniaturized smart weapons, and AIs will dominate warfare, from the top level of national strategy down to the simplest act of combat. The world’s strongest military could, with conventional weapons alone, destroy most of the world’s human population in a short period of time.
It will be possible for one country to build an army of killer robots that equals the size of the whole human population.
The construction and daily operation of prisons will have been fully automated, lowering the monetary costs of incarceration. As such, state prosecutors and judges will no longer feel pressure to let accused criminals have plea deals or to give them shorter prison sentences to ease the burdens of prison overcrowding and high overhead costs.
The term “millionaire” will fall out of use in the U.S. and other Western countries since inflation will have rendered $1 million USD only as valuable as $90,000 USD was in 2019 (assuming a constant inflation rate of 3.0%).
There will still be major wealth and income inequality across the human race. However, wealth redistribution, better government services, advances in industrial productivity, and better technologies will ensure that even people in the bottom 1% have all their basic and intermediate life needs meet. In many ways, the poor people of 2100 will have better lives than the rich people of 2020.
2101 – 2200 AD
Humans will definitely stop being the dominant intelligent life forms on Earth.
Many “humans” will be heavily augmented through genetic engineering, other forms of bioengineering, and cybernetics. People who outwardly look like the normal humans of today might actually have extensive internal modifications that give them superhuman abilities. Non-augmented, entirely “natural” humans like people in 2019 will be looked down upon in the same way you might today look at a very low IQ person with sensory impairments. Being forced by your biology to incapacitate yourself for 1/3 of each day to sleep will be tantamount to having a medical disability.
Due to a reduced or nonexistent need for sleep among intelligent machines and augmented humans and to the increased interconnectedness of the planet, global time zones will become much less relevant. It will be common for machines, humans, businesses, and groups to use the same clock–probably Coordinated Universal Time (UTC)–and for activity to proceed on a 24/7 basis, with little regard of Earth’s day/night cycle.
Physical disabilities and defects of appearance that cause untold anguish to people in 2019 will be easily and cheaply fixable. For example, male-pattern baldness and obesity will be completely ameliorated with minor medical interventions like pills or outpatient surgery. Missing or deformed limbs will be easily replaced, all types of plastic surgery (including sex reassignment) will be vastly better and cheaper than today, and spinal cord damage will be totally repairable. The global “obesity epidemic” will disappear. Transsexual people will be able to seamlessly alter their bodies to conform with their preferred genders, or to alter their brains so their gender identities conform with the bodies they were born with.
These advanced body modification abilities will partly be thanks to medical micro- and nanomachines that will be able to travel through a person’s bloodstream and flesh, and to precisely kill small groups of cells (including bone) or stimulate cell proliferation. Over the course of a few sessions, a person could finely sculpt their nose, cheeks or private parts to match whatever they wanted. Genetic engineering for beauty will probably become less important as a result.
All sleep disorders will be curable thanks to cybernetics that can use electrical pulses to quickly initiate sleep states in human brains. The same kinds of technologies will also reduce or eliminate the need for humans to sleep, and for people to control their dreams.
Brain-computer interfaces will let people control, pre-program, and, to a limited extent, record their dreams.
Through electrical signaling and chemical releases, the brain implants will be able to induce any type of mental or emotional state. This will include altered states of consciousness, like lucid dreaming, meditation, or intoxication (as a result, mind-altering drugs could become obsolete). A person might have to go through a “calibration period” where the implants would monitor and record their brain activity while they experienced different things, and then, the user would experiment with the implant to see how well it could induce the recorded brain states. Through a process of guided trial and error, they would become masters of their own minds. This ability would make human life richer and more productive, as people could have valuable experiences during portions of the day when they would otherwise be bored or “switched off,” and to even do useful problem-solving tasks in their sleep. Alternatively, the ability to induce feelings of blinding pleasure could lead to a major addiction problem among humans, and widen the productivity/usefulness gap between our species and intelligent machines.
Direct brain-to-computer interfaces and other advanced technologies will let humans enter virtual reality worlds that seem no different from the real world (the “Matrix scenario”), and to remotely control robot bodies located anywhere in the real world, with fully lifelike levels of sensory richness and fusion. Able to control perfect robot bodies of any design in the real world, and to take on any form in virtual worlds, some humans will have no use for real, fixed-form bodies, and will dispense with them, instead existing as “brains in jars.”
Some “humans” will lack fixed, corporeal forms; they will be able to extensively modify their original bodies or to switch bodies at will. A person could take the form of something nonhuman, like a terrestrial squid. They exist as disembodied, cybernetically enhanced brains in life support containers that can assume control over any physical bodies they want, either by remotely controlling them through the internet, or by physically inserting their life support containers into matching slots in the bodies.
The line between “biological” and “synthetic” will blur as artificial objects take on some of the properties of organic matter and as they are integrated into originally biological life forms. Examples include humans who have artificial limbs and organs that are soft, supple, and interface with their nervous systems as well as natural limbs and organs; humans whose bodies contain special lines of cells meant to save and store non-genomic data as DNA; cybernetic implants that are soft and capable of growing inside a person’s body; machines that can heal their own bodies; and microscopic, self-reproducing machines that can thrive indefinitely in human bodies, in wild animals, or in other life forms and even be transferred between individuals, like benign diseases.
Brain implants will let humans merge minds with each other, AIs and animals.
People will “download” memories and sensory experiences for pleasure and self-betterment. Some of the content will be recordings of actual experiences, while other content will be fully synthetic.
Significant numbers of people will know what death is like, either because they died and were resuscitated with advanced medical technology, because they were revived from cryostasis, or because they downloaded a memory of someone else dying.
Almost all of today’s diseases will be cured.
The means to halt and reverse human aging will be created. The human population will come to be dominated by people who are eternally young and beautiful.
Augmented females will have the natural ability to suspend and control their monthly fertility cycles.
Humans and machines will be immortal. Intelligent beings will find it terrifying and tragic to contemplate what it was like for humans in the past, who lived their lives knowing they were doomed to deteriorate and die. Today’s humans will be seen as deeply flawed and limited creatures, at the mercy of their instincts and small brains, and condemned to deal with random genetic flaws and chronic health problems they were randomly given at birth.
Extreme longevity, better reproductive technologies that eliminate the need for a human partner to have children, and robots that do domestic work and provide companionship (including sex) will weaken the institution of marriage more than any time in human history. An indefinite lifetime of monogamy will be impossible for most people to commit to.
At reasonable cost, it will be possible for women to create healthy, genetically related children at any point in their lives, and without using the 2019-era, pre-menopausal egg freezing technique. For example, a 90-year-old, menopausal woman will be able to use reproductive technologies to make a baby that shares 50% of her DNA.
Opposite-sex human clones will exist. Such a clone would share 22-1/2 of their 23 chromosome pairs with their “original.” Only the final sex chromosome, which would be either a “Y” or a second “X”, would differ.
Immortality, the automation of work, and widespread material abundance will completely transform lifestyles. With eternity to look forward to, people won’t feel pressured to get as rich as possible as quickly as possible. As stated, marriage will no longer be viewed as a lifetime commitment, and serial monogamy will probably become the norm. Relationships between parents and offspring will change as longevity erases the disparities in generational outlook and maturity that traditionally characterize parent-child interpersonal dynamics (e.g. – 300-year-old dad doesn’t know any better than his 270-year-old son). The “factory model” of public education–defined by conformity, rote memorization, frequent intelligence testing, and curricula structured to serve the needs of the job market–will disappear. The process of education will be custom-tailored to each person in terms of content, pacing, and style of instruction. Students will be much freer to explore subjects that interest them and to pursue those that best match their talents and interests.
Radically extended human lifespans mean it will become much more common to have great-grandparents around. A cure for aging will also lead to families where members separated in age by many decades look the same age and have the same health. Additionally, older family members won’t be burdensome since they will be healthy.
The human population might start growing again thanks to medical immortality, to advanced fertility technologies including artificial wombs and cloning, and to robots that help raise children, reducing the workload for human parents. The human race won’t die out thanks to persistently low birthrates.
Thanks to radical genetic engineering, there will be “human-looking,” biological people among us that don’t belong to our species, Homo sapiens. Examples could include engineered people who have 48 chromosomes instead of 46, people whose genomes have been shortened thanks to the deletion of junk DNA, or people who look outwardly human but who have radically different genes within their 46 chromosomes, so they have different numbers or arrangements of internal organs (like two hearts), or even new types of internal organs, such asbird-like lung. Such people wouldn’t be able to naturally breed with Homo sapiens, and would belong to new hominid species.
Extinct species for which we have DNA samples (ex – from passenger pigeons on display in a museum) will be “resurrected” using genetic technology.
The global mass surveillance network will encompass unpopulated areas and wilderness areas, protecting animals from poaching. Extinctions of large, wild animals will stop.
Large animal attacks on humans will become incredibly rare thanks to technologies like the global mass surveillance network foreseeing and preventing hostile encounters. Entire populations of large animal species could also have permanent tracking devices.
The technology for safely thawing humans out of cryostasis and returning them to good health will be created.
Suspended animation will become a viable alternative to suicide. Miserable people could “put themselves under,” with instructions to not be revived until the ill circumstances that tormented them had disappeared or until cures for their mental and medical problems were found.
A sort of “time travel” will become possible thanks to technology. Suspended animation will let people turn off their consciousnesses until any arbitrary date in the future. From their perspective, no time will have elapsed between being frozen and being thawed out, even if hundreds of years actually passed between those two events, meaning the suspended animation machine will subjectively be no different from a time machine to them. FIVR paired with data from the global surveillance networks will let people enter highly accurate computer simulations of the past. The data will come from sources like old maps, photos, videos, and the digital avatars of people, living and dead. The computers simulations of past eras will get less accurate as the dates get more distantand the data scarcer.
It will be possible to upload human minds to computers. The uploads will not share the same consciousness as their human progenitors, and will be thought of as “copies.” Mind uploads will be much more sophisticated than the digitally immortal avatars that will come into existence in the 2030s.
Different types of AGIs with fundamentally different mental architectures will exist. For example, some AGIs will be computer simulations of real human brains, while others will have totally alien inner workings. Just as a jetpack and a helicopter enable flight through totally different approaches, so will different types of AGIs be capable of intelligent thought.
Gold, silver, and many other “precious metals” will be worth far less than today, adjusting for inflation, because better ways of extracting (including from seawater) them will have been developed. Space mining might also massively boost supplies of the metals, depressing prices. Diamonds will be nearly worthless thanks to better techniques for making them artificially.
The first non-token quantities of minerals derived from asteroid mining will be delivered to the Earth’s surface. (Finding an asteroid that contains valuable minerals, altering its orbit to bring it closer to Earth, and then waiting for it to get here will take decades. No one will become a trillionaire from asteroid mining until well into the 22nd century.)
Synthetic life forms will colonize parts of the world uninhabitable to humans, like mountaintops, oceans (both on the surface and under it), and maybe even underground regions. Intelligent and semi-intelligent machines will be common sights, even in remote areas.
Intelligent life from Earth will colonize the entire Solar System, all dangerous space objects in our System will be found, the means to deflect or destroy them will be created, and intelligent machines will redesign themselves to be immune to the effects of radiation, solar flares, gamma rays, and EMP. As such, natural phenomena (including global warming) will no longer threaten the existence of civilization. Intelligent beings will find it terrifying and tragic to contemplate what it was like for humans in the past, who were confined to Earth and at the mercy of planet-killing disasters.
“End of the World” prophecies will become far less relevant since civilization will have spread beyond Earth and could be indefinitely self-sustaining even if Earth were destroyed. Some conspiracy theorists and religious people would deal with this by moving on to belief in “End of the Solar System” prophecies, but these will be based on extremely tenuous reasoning.
The vast majority of intelligent life forms outside of Earth will be nonhuman.
A self-sustaining, off-world industrial base will be created.
It will be possible to safely smoke cigarettes in more advanced types of space ships.
Spy satellites with lenses big enough to read license plates and discern facial features will be in Earth orbit.
Space probes made in our Solar System and traveling at sub-light speeds will reach nearby stars.
All of the useful knowledge and great works of art that our civilization has produced or discovered could fit into an advanced memory storage device the size of a thumb drive. It will be possible to pair this with something like a self-replicating Von Neumann Probe, creating small, long-lived machines that would know how to rebuild something exactly like our civilization from scratch. Among other data, they would have files on how to build intelligent machines and cloning labs, and files containing the genomes and mind uploads of billions of unique humans and non-human organisms. Copies of existing beings and of long-dead beings could be “manufactured” anywhere, and loaded with the personality traits and memories of their predecessors. Such machines could be distributed throughout our Solar System as an “insurance policy” against our extinction, or sent to other star systems to seed them with life. Some of the probes could also be hidden in remote, protected locations on Earth.
We will find out whether alien life exists on Mars and the other celestial bodies in our Solar System.
Intelligent machines will get strong enough to destroy the human race, though it’s impossible to assign odds to whether they’ll choose to do so.
If the “Zoo Hypothesis” is right, and if intelligent aliens have decided not to talk to humans until we’ve reached a high level of intellect, ethics, and culture, then the machine-dominated civilization that will exist on Earth this century might be advanced enough to meet their standards. Uncontrollable emotions and impulses, illogical thinking, tribalism, self-destructive behavior, and fear of the unknown will no longer govern individual and group behavior. Aliens could reveal their existence knowing it wouldn’t cause pandemonium.
The government will no longer be synonymous with slowness and incompetence since all bureaucrats will be replaced by machines.
Technology will be seamlessly fused with humans, other biological organisms, and the environment itself.
It will be cheaper and more energy-efficient to grow or synthesize almost all types of food in labs or factories than to grow and harvest it in traditional, open-air farms. Shielded from the weather and pests and not dependent on soil quality, the amounts and prices of foods will be highly consistent over time, and worries about farmland muscling out or polluting natural ecosystems will vanish. Animals will no longer be raised for food. Not only will this benefit animals, but it will benefit humans since it will eliminate a a major source of communicable disease (e.g. – new influenza strains originate in farm animals and, thanks to close contact with human farmers, evolve to infect people thanks to a process called “zoonosis”).
Additionally, the means will exist to cheaply and artificially produce non-edible organic products, like wool and wood, in industrial quantities. This means anyone will be able to buy animal products that are very expensive today, like snakeskin boots or bear rugs. Unlimited quantities of perfectly simulated animal products that have useful properties, like pillow feathers (softness) or high-grade wool (heat insulation), will be available, and no animals will need to be harmed to make them. This will greatly help endangered species that are poached for their parts, like elephants killed for their ivory tusks. Lab-synthesized wood that is superior to “old-growth” timber will also exist.
The ability to cheaply make large quantities of organic products will lead to the creation of bizarre objects that no one conceived of before, like vehicle frames made of single pieces of bone.
A global network of sensors and drones will identify and track every non-microscopic species on the planet. Cryptids like “bigfoot” and the “Loch Ness Monster” will be definitively proven to not exist. The monitoring network will also make it possible to get highly accurate, real-time counts of entire species populations. Mass gathering of DNA samples–either taken directly from organisms or from biological residue they leave behind–will also allow the full genetic diversity of all non-microscopic species to be known.
That same network of sensors and machines will let us monitor the health of all the planet’s ecosystems and to intervene to protect any species. Interventions could include mass, painless sterilizations of species that are throwing the local ecology out of balance, mass vaccinations of species suffering through disease epidemics, reintroductions of extinct species, or widescale genetic engineering of a species.
The technology and means to implement David Pearce’s global “benign stewardship” of nonhuman organic life will become available. (https://youtu.be/KDZ3MtC5Et8) After millennia of inflicting damage and pain to the environment and other species, humanity will have a chance to inaugurate an era free of suffering.
The means will exist to harmlessly control animal populations, predation, and to greatly ease animal suffering.
The same medical treatments that radically extend human lifespans will also be used on pets. Fifty-year-old dogs and cloned cats that are the sixth in their lineage will exist.
The mass surveillance network will also look skyward and see all anomalous atmospheric phenomena and UFOs.
Robots will clean up all of the garbage created in human history.
Every significant archaeological site will be excavated and every shipwreck found. There will be no work left for people in the antiquities.
Dynamic traffic lane reversal will become the default for all major roadways, sharply increasing road capacity without compromising safety. Autonomous cars that can instantly adapt to changes in traffic direction and that can easily avoid hitting each other even at high speeds will enable the transformation.
The Imperial system of weights and measures will fall out of use worldwide. Intelligent machines and posthumans will be able to switch to Metric without a problem. The same nimbleness of mind might also let them break from the ingrained traditions created by past humans and adopt other new standards, like new alphabets, numerals, and languages.