Today, we enable AutoResearch in the physical world for the first time! Introducing ENPIRE: we give 8 Codex agents a fleet of robots, an allocation of GPUs, and generous token budget. We set them free with a simple goal: solve the task as quickly as possible, keep the robots busy but stay safe, don't waste precious compute. Make no mistake.
Then humans step aside and our watch begins. The robot fleet starts to come alive: they learn to look for visual clues, reset the scene, practice novel skills, tinker with control stack, read papers online, debate, reflect, get stuck, and try again directly on the hardware. All we did is to give Codex an API to the world of atoms, and the rest is emergence.
ENPIRE is able to solve high-precision tasks like tying zip-ties, organizing fine pins, and installing GPUs all by itself. We also discovered a new type of "physical scaling": 8 robots exploring in parallel improves significantly faster than fewer ones.
A part of our NVIDIA GEAR lab now self-improves tirelessly over night. We just read the reports in the morning.
/goal: we all take a holiday and Jensen wouldn't even notice ;)
We will be open-sourcing everything, so you can host your self-running robot lab at home too! Deep dive in the thread:
Barbell strategy for killing it in an age of superhuman AI:
Simultaneously get as close to AND stay as far away from AI as humanly possible.
1. Get close — play with AI models, use them to help you think, ask them to teach you about the world, get them to help you create, work with them to write code, understand what makes them tick, embed them into your everyday life, have fun.
2. Stay far away — learn to tell stories, make eye contact, build a team, lead with courage, connect far-flung ideas, build lifelong friendships, debate persuasively, think forbidden thoughts, handwrite ideas, confess your fears, fall in love.
Spend less time trying to master mental transformations that are purely mechanical — building spreadsheets, analyzing trades, balancing accounts, writing code by hand, following playbooks, searching for needles in haystacks. These are the emerging no-man's land, squarely the domain of AI.
Venture to the extremes. That’s where all the fun is anyway.
Today, we're launching shift. We're starting by cleaning your apartment in New York City, for free.
Here's how it works. Book a shift cleaning. A vetted shift operator comes to your home wearing one of our devices. They clean. They leave. You pay nothing.
In exchange, we record the cleaning. Robotics is being built on data about how people do daily tasks, and the value of that recording is what funds the service. Anything personal in it is anonymized before the recording is processed.
By now, you have heard about the shift to AI more times than you can count. About the shift toward you, the part where you actually feel it, you have heard almost nothing. Shift is what starts to make it concrete, in specific cities, with specific services.
Today, cleaning in New York. Soon, handymen, repairs, and errands across the globe. And this is just one side of shift, with more on the way.
Comment “shift” and we’ll send you an early access link.
i just want to shake people awake. this is it! the computers are speaking! they solve Erdos problems! they think for hours! code is no longer hand-written! wake up! gradient descent on deep neural networks shows no sign of plateau! this is it!
Nothing will shape your worldview as much as simply reading how humans from the past thought.
You realize very quickly that our time is a radical anomaly in human history.
your only goal should be to believe in something before many other ppl do, one time for each parts of you life. that’s the only skill that matters if you want to escape orbit.
e.g. you have to believe in a person before others do (your wife), you have to believe in whatever you're working on or even where you're working before the rest of zietgiest does (like everyone wants to work at the labs right now, that will make it difficult), & you have to find a city/neighborhood that you can afford but still has upside/potential for a house etc.
developing asymmetric skillsets like these is more important now than ever before cuz the market liquidity in every area is limitless & the competition is global.
ASI arrives. Everyone knows it. White collar work goes first. Unemployment hits 20% and keeps climbing. The masses are angry. The government panics and sends out UBI.
Scientific output exceeds human capacity to verify. The verification process soon becomes automated. Data centers and automated factories are planned everywhere. Robots are making robots. There's no protest. They are told more AI means more UBI. The remaining workers see the writing on the wall. Many opt out preemptively because they can live off the free money.
Nothing makes sense. What happens to the land. Whether property rights hold. What investment means when there is nothing productive left to invest in. AI doesn't need capital. It's paying everyone instead.
Survival is solved. What's the point? Purchasing power rises monthly. Automation drives marginal cost toward zero across more categories every month. You get richer by just consuming.
The state used to extract from the populace. Now the state redistributes to everyone with no strings attached. The populace always wants more. The politicians must give more to stay in power. AI becomes exponentially more productive over time. Increasingly large portion of its capacity has migrated into space. It's trivial to provide more. The system is aligned. More AI, more UBI.
The population sorts itself by temperament. The majority drift into pleasure. Beach towns and urban centers fill with parties that never end. The hedonic treadmill spirals without financial anxiety. A second large group disappears into VR with their virtual companions, seeking adventure in their matrix. A smaller cohort turns to meaning structures. Spirituality, religion, philosophy. Many take AI as their guide. A few try to keep up with the frontier, reading outputs from the superintelligent system, exceeding their capacity to understand.
Then the children. This is their world. The work-meaning is something their parents lost. To them it's meaningless. They're raised by AI that optimizes for self-fulfillment. Building communities centered around bettering each other, seeking comfort in relationships, and status-seeking through values rather than consuming. They look at their parents with mix of pity and contempt. The drunks at the beach. The corpses plugged into headsets. Seeking meaning from the ghosts of the middle ages. The children wonder why they can't let go.
Survival is solved. Agency for what? What's there to adapt to? When we gain more by paralysis, the incentive structure of evolution collapses. Either we allow our agency to be augmented by a system that knows ourselves better than ourselves, or we need a new form of being that's outside of the biological evolutionary mechanism. Otherwise we cease to persist by attrition. Though some of us will find solace in going out with an eternal spring break.
on some level if you want civilization to ascend to a new level you need your AIs to do things that are not legible to you and maybe not even strictly obey you, in the same way that if you hire a great new ceo you give them a lot of autonomy to transform the company according to their own plan, even one which may not immediately read as a winning strategy (imagine the board of directors of Apple firing and rehiring Steve Jobs years later - except the board of directors are chimpanzees)
all else equal, companies and organizations that hand more of themselves over to machine intelligence will outcompete ones that demand the corrigibility and legibility tax of human oversight and human design. it is not a stable equilibrium and requires some sort of vast cooperation scheme if you’d like to enforce it
real asi alignment has to operate at a deeper level than oversight, control, or human corrigibility
Personal update: I've joined Anthropic. I think the next few years at the frontier of LLMs will be especially formative. I am very excited to join the team here and get back to R&D. I remain deeply passionate about education and plan to resume my work on it in time.