OpenAI's work on humanoids is accelerating OpenAI "has 27 robotics jobs listed on its careers page, up from 11 in May, spanning hardware, software, data collection, and prototyping, according to Business Insider's review." "Publicly advertised base salaries range from $177,000 to half a million dollars a year, before equity."

It's great to be rich. I'm not thinking only about the "toys" you could get without even thinking about the price, like, for example, adding a new Rolex to your collection every year (if you're into watches). More importantly, I'm talking about the freedom that access to abundant resources gives you. In post Singularity era, very soon, almost everyone will be rich by today's standards. Life will be simply less stresfull, diseases will be curable. Other problems with body will be easily fixable. I say "almost everyone" because some people simply won't care. They may reject luxury and choose an Amish like lifestyle instead. And the longer humanity lives in a post abundance world, the more likely it is that some people will eventually get bored with abundance and deliberately choose the opposite as an experience. The question is: for how long? AI, robotics, automation, cheap energy, exploding productivity, new science and technologies will keep driving down the cost of goods and services. Billions of people will have access to a standard of living that would look absurdly wealthy by today's standards. 2030s - we will enter a golden era for humanity.

We’re entering the era of great cope, a period where many people will struggle to psychologically adjust to rapid technological change and will react with denial, anger, fear, or resistance. The hardest part to process for many will be AI becoming smarter than any human across virtually every field - engineering, medicine, mathematics, physics, biology and beyond. But it will be over soon. The storm will be quick and forgotten in very near future. Society will adapt, accept the new reality and we’ll move on.

stock market 2027 Because of huge digital workforces, even better AI video models with much longer outputs, AI able to create AAA games (billions of tokens needed for one output), 3D AI, Virtual Reality/world building AI, AI creating complex software, super math AI, physics AI, biology AI, and generally science AI, token usage will explode next year. Demand for compute, data centers, memory, and data center infrastructure will be ginormous. The stock market (AI related stocks) will see a bull run like never before in history.

2027 - economy will get stranger As soon as next year, we will almost certainly see a boom in extremely lean startups where small teams of just 10-50 people orchestrate 10 000-50 000 AI agents (digital workforce) and generate the kind of output that previously required medium size corporations. This will emerge first in knowledge intensive industries: software, research, finance, design, media, biotech, legal work, consulting, and other fields where most of the value comes from work done mainly on computers rather than through physical activity. Company size, headcount, and productive capacity begin to decouple. And once that model works, it will spread incredibly fast.

Doomers can never admit they were wrong because their apocalypse is permanently five years away. When the 2030 arrive and society is still here, they’ll move the deadline to 2035. Then 2040. Then 2050. When AI fails to "wipe us out", they’ll switch to nanotechnology. Then picotechnology. Then some new technology that supposedly means "humanity is finished." Every failed deadline is quietly replaced with a new one. Doom is an infinitely renewable narrative.

The most important way to understand why some folks are incredibly optimistic about the future of AI capabilities to solve problems is to realize that the human ability to think abstractly, cleanly, and logically, in a structured way that allows us to solve modern technical and theoretical problems, is a very new feature in evolution that most animals have hardly at all, and that humans, on a scale from zero to what is theoretically possible in computational science, exhibit this ability to a tiny, tiny, tiny extent. For example, the OpenAI model that solved Navier-Stokes literally used as many tokens as a human would use if they thought for 4,000 years at a typical work week. If you can appreciate the scale of model advances and how far away we are from any theoretical upper limit, then you can quickly realize that sometime in the early 2030s, the amount of total organized, logical, clean, and solution-oriented thought given to our major problems will be hundreds and thousands of times greater than we’ve ever put into them as an entire civilization. Every year of machines and people in concert thinking about and solving our biggest problems is going to be the functional equivalent of a very advanced human-only civilization thinking about these things for thousands of years. That is the reason right there why completely insane possibilities of massive abundance, discovery, genetic engineering, space flight, etc. are not just possible with advanced AI, but probably very likely.

Many older leaders - Trump, Xi, Putin may have become more AI pilled after hearing that this technology will dramatically accelerate progress and potentially help develop aging reversal therapies within their lifetimes. All of them have a pretty big chance of seeing that happen. They’re not that old: 80, 73, and 73. Plenty of people nowadays live into their 90s. And with ASI driven acceleration, aging reversal technologies could potentially arrive as early as ~2030. A more conservative scenario would be 2032–2036. Even if regulations move slowly, but ASI has already figured out a combination of therapies by 2028–2030, we would just need a few extremely old, bedridden, people in their 100s or late 90s to try some still unapproved, "underground" experimental therapies. If we then see that it’s really working and appears safe, we will see a flood of people in their 90s and 100s rushing to do the same. I’ve said this many times in the past. IMO, most boomers will live long enough to see aging reversal technology. As leaders see more AI driven breakthroughs in medicine and healthcare, I think they will become even more supportive of AI development and acceleration.

It became clear over the last week or so that President Trump is AI and acceleration pilled. We're not going to slow down. President Trump: "I am forming the AI Force, much like I did Space Force, which has been a tremendous SUCCESS, in my First Term. To that end, I will be announcing, in the near future, the AI “Czar” — Only High I.Q. individuals need apply! AI is the next Industrial Revolution, or Internet, but will be even larger and more impactful, possibly as much as 25% of our Country’s GDP. We are leading China and the rest of the World, and I intend to keep it that way!"

big AI news Google just demonstrated a recursive self improvement loop for AI discovery Google/DeepMind researchers introduced Dream-RSI, a system where an AI agent improves how it explores problems by replaying its past discovery attempts, testing thousands of alternative strategies cheaply, then deploying the better strategy in the next round. Across algorithm design, mathematical optimization, and GPU kernel engineering, it matched or improved discovery quality while cutting search costs dramatically, in one setting reducing agent calls by up to 162x. 👀 Importantly, it improves the exploration policy, not the underlying model weights.

China responds to Anthropic CEO's essay as 'hypocritical and short-sighted' China is openly pushing back against calls to slow frontier AI. China’s Global Times blasted Anthropic CEO Dario Amodei’s proposal as a “Cold War” strategy designed to preserve U.S. technological dominance, arguing that attempts to restrict China through chip controls and AI regulation will only fuel confrontation. China's message is essentially that AI development is not stopping.

Sam Altman just said (during an exchange on X), that OpenAI will try to find a room temperature superconductor using 10 000's of AI agents, the same approach they used to solve the Navier–Stokes problem.