The AGI Countdown

Demis Hassabis on how little time is left to get ready for AGI: "There are some very short timelines out there, but even ours are 5 to 10 years, which is not long for institutions or things like that." He says he's worried the world isn't paying enough attention, and wishes there had already been far more international collaboration. And 5 to 10 years is DeepMind's cautious estimate. P.S. I made a playbook breaking down 100+ most powerful decision making mental models used by history’s greatest thinkers. 7,000+ downloads. 113 five-star reviews. Grab a free copy here: besuperhuman.gumroad.com/l/m… Interested in AI? Follow @AlltheLatestAI and never fall behind. I track ChatGPT, Claude, and how every new agent is changing how we work and think, then hand you the pure signals.

Elon Musk's timeline for the next five years: "In 5 years, digital intelligence will exceed the sum of all human intelligence. Within five years, there may be at least 100 million humanoid robots, possibly even 1 billion. The economy could double in size within 5 to 7 years because AI and robotics may increase output dramatically. The pace of change will be so fast that the world could look very different in just a few years." P.S. I made a playbook breaking down 100+ most powerful decision making mental models used by history’s greatest thinkers. 7,000+ downloads. 113 five-star reviews. Grab a free copy here: besuperhuman.gumroad.com/l/m… Interested in AI? Follow @AlltheLatestAI and never fall behind. I track ChatGPT, Claude, and how every new agent is changing how we work and think, then hand you the pure signals.

Elon Musk cautions that the time left is short: You have 3 years at most to keep earning from selling your work. After that, AI takes over most tasks, and paying people for their time stops making sense. The 200-year-old model, "I give you your salary in exchange for your time", will soon be over. This will set off the largest wealth transfer in modern history. People already making the shift get it. People waiting for the headlines will show up too late. In the end, what you own counts for more than how much you work. The smartest asset to build right now ranks above Bitcoin and land: an income stream powered by AI that compounds while you sleep. Interested in AI? Follow @AlltheLatestAI and never fall behind. I track ChatGPT, Claude, and how every new agent is changing how we work and think, then hand you the pure signals.

Alexandr Wang, Meta's chief AI officer: "Internally at Meta, we have seen cases where, if you develop the right agentic loop and have the right evaluation system and metric for the agents to optimize, a swarm of agents can accomplish more than a team of 100 engineers. They can do it very handily, actually, very easily." Wang was in conversation with Garry Tan, head of Y Combinator, at Startup School 2026. Interested in AI? Follow @AlltheLatestAI and never fall behind. I track ChatGPT, Claude, and how every new agent is changing how we work and think, then hand you the pure signals.

Dario Amodei says the countdown to AI writing all the code is now measured in months: "I have engineers within Anthropic who say I don't write any code anymore. I just let the model write the code. I edit it." "We might be six to 12 months away from when the model is doing most, maybe all of what SWEs do end to end." "If I had to guess, I would guess that this goes faster than people imagine." Interested in AI? Follow @AlltheLatestAI and never fall behind. I track ChatGPT, Claude, and how every new agent is changing how we work and think, then hand you the pure signals.

Anthropic CEO Dario Amodei says: "50% of all entry-level Lawyers, Consultants, and Finance Professionals will be completely wiped out within the next 1–5 years." Over 47 minutes, he breaks down who makes it through and why. That's the gap between passively watching AI eat your field and turning into the person companies can't afford to lose. Watch the video. Then check the guide below on becoming the "AI guy" every company needs. Interested in AI? Follow @AlltheLatestAI and never fall behind. I track ChatGPT, Claude, and how every new agent is changing how we work and think, then hand you the pure signals.

Sam Altman said: "We're going to see 10-person billion-dollar companies pretty soon." He also said: "If I were 22 right now, I'd feel like the luckiest kid in history." Nearly everyone scrolling past this will feel a quick spark, then drift back to whatever they were doing before. But a few will actually launch a solo venture this very weekend. Interested in AI? Follow @AlltheLatestAI and never fall behind. I track ChatGPT, Claude, and how every new agent is changing how we work and think, then hand you the pure signals.

Halfway through an interview about AI risk, Elon Musk stops to look at his phone. He'd warned the reporters at the start: "I might occasionally just stop and check for any emergencies coming through." Then he glances down, goes silent, and gets up. The only explanation he gives: "I have Bolero stuck in my head." Even mid-interview, that's how closely he keeps watch on whatever is going on at his companies. Interested in AI? Follow @AlltheLatestAI and never fall behind. I track ChatGPT, Claude, and how every new agent is changing how we work and think, then hand you the pure signals.

Palantir CTO Shyam Sankar on AI and layoffs: "We’re listening too much to the inventors of AI." "I know that’s appealing. They’re geniuses." "We need to be listening to the frontline factory workers using AI saying, ‘Wow, I was able to add a third shift. I was able to hire more workers.’" "Or the ICU nurse who says, ‘I was able to spend more time with my patients and ensure they don’t code during a shift change now.’" Sankar, speaking on Fox News. Interested in AI? Follow @AlltheLatestAI and never fall behind. I track ChatGPT, Claude, and how every new agent is changing how we work and think, then hand you the pure signals.

Elon Musk explains the ego-to-ability ratio he says predicts who will fail: "You do whatever it takes to succeed, and just always be smashing your ego. Internalize responsibility. A major failure mode is when your ego-to-ability ratio is greater than one" "If your ego-to-ability ratio gets too high, you break the feedback loop to reality. In AI terms, you break your RL loop. You want a strong RL loop, which means internalizing responsibility and minimizing ego" "That's why I prefer the term engineering as opposed to research, and I don't want to call xAI a lab, I just want it to be a company. Whatever the simplest, lowest-ego terms are, those are generally a good way to go. You want to close the loop on reality hard" Interested in AI? Follow @AlltheLatestAI and never fall behind. I track ChatGPT, Claude, and how every new agent is changing how we work and think, then hand you the pure signals.

Demis Hassabis just took apart the "AGI is basically here" story. He did it with a physics problem from 1905. He runs Google DeepMind and won a Nobel Prize for using AI to solve a biology puzzle that had beaten scientists for half a century. Very few people in this field have a record like that. On the NothingButTech podcast, he went after the biggest claim in AI right now. The loudest people in the industry keep saying AGI has more or less arrived. OpenAI's own definition is a system that beats humans at most "economically valuable work." Put simply: replace enough jobs and you can declare victory. Hassabis thinks that bar is far too low. His view is that true general intelligence must match what a human brain can do, since the brain is our only evidence that this kind of mind can exist at all. He called it "a higher bar than just being able to do some useful economic work," which is about as blunt as a courteous British Nobel winner gets about his rivals. Then he described a real test. Current AI has absorbed everything people have written, relativity included. When it explains relativity to you, it is reciting an answer that already exists. That isn't intelligence. So he proposed a test that memorization can't pass. Train a model only on what humans knew in 1901, four years before Einstein published. Then ask it to arrive at relativity by itself. There's nothing to look up, because in 1901 the answer hasn't been written. The only route is the one Einstein took: start from the physics everyone shared and reason toward an idea nobody had. Hassabis says no AI today can do that, however much it has memorized. What we call "almost AGI" is really the greatest librarian ever built. It can retrieve any answer that exists. It can't produce one that doesn't. His second test is sharper still. AlphaGo, built by his own team, famously played a move no human had tried in 2,000 years of Go. People called that genius. Hassabis says it still misses the bar. The real question isn't whether an AI can find a new move inside Go. It's whether an AI could design a game as deep and elegant as Go to begin with. No model today can. The people saying AGI is already here are often the same people raising hundreds of billions on that promise. Those valuations need the finish line to be close. So the line keeps moving closer, and AGI keeps being redefined down to "does useful work," until whatever is already on sale happens to meet it. Hassabis has nothing left to prove and nothing to sell. He has the Nobel, and he is saying machines still can't manage the single thing that would make them truly intelligent: have an original idea. To be fair, he's no pessimist. He believes true AGI will arrive, and he's devoting his career to building it. He just won't pretend it already lives in your phone. Next time a founder says AGI is months out, remember the Nobel laureate who designed his test around Einstein and conceded that nothing we have built can pass it. Where do you land? Interested in AI? Follow @AlltheLatestAI and never fall behind. I track ChatGPT, Claude, and how every new agent is changing how we work and think, then hand you the pure signals.

Palantir CEO Alex Karp says big companies would rather "own the means of production" rather than hand their alpha to OpenAI or Anthropic: "Why are [LLMs] charging for tokens if it's so valuable?" "If it was so valuable—let's say I can make you a billion dollars tomorrow. Wouldn't I say, 'I'll make you a billion dollars, and I want 30%?'" "Look at our financials. The reason why everyone is chillaxing with bad financials and growth while losing money, is the client refuses to pay the true cost." "The two places that actually make money—profit, free cash flow—are our application layer called ontology, and compute." "We can get the frontier application to be exactly the same as a frontier model without the risk of transferring the alpha of your business to another." Karp, speaking on CNBC. Interested in AI? Follow @AlltheLatestAI and never fall behind. I track ChatGPT, Claude, and how every new agent is changing how we work and think, then hand you the pure signals.

Yann LeCun, speaking at ETH Zürich, has blunt advice for anyone who wants to move AI forward: "You should not work on LLM. At least if you're in academia, you should absolutely not work on LLMs. There is nothing you can bring to the table. If you're interested in making real progress in AI, in sort of grounded AI for the real world, if you want physical AI, don't work on LLMs, and don't work on generative models either. So, as you can probably guess, this does not make me very popular in Silicon Valley." Interested in AI? Follow @AlltheLatestAI and never fall behind. I track ChatGPT, Claude, and how every new agent is changing how we work and think, then hand you the pure signals.

Michael Dell says Compaq was beaten by a single detail. And Compaq stamped that detail onto every chip it sold. Dell opened up their machines and checked the date codes: "If you opened up the computers, the chips had dates on them that showed the weeks they were made." Between factory and customer, Compaq held 90 days of inventory. Dell held five. Part prices dropped every quarter. So Compaq's 90 days of stock meant 90 days of lost value. Dell's five days cost it almost nothing. Identical machines. Identical parts. Half the overhead. "It was crazy. It was like a massive advantage." Compaq's CEO dismissed Dell as a "mail-order company" and a "garage operation." He never read the date codes. "One of the best things was they just didn't understand it. They misunderstood it, which was fantastic." Today Dell is valued above $90 billion. Compaq is gone. The answer sat on Compaq's own warehouse shelves all along. Michael Dell, on David Senra's Founders podcast. Interested in AI? Follow @AlltheLatestAI and never fall behind. I track ChatGPT, Claude, and how every new agent is changing how we work and think, then hand you the pure signals.

Palantir CEO Alex Karp says the people calling for an AI pause are out of touch with reality, and are effectively arguing for letting America's enemies win: "If we didn't have adversaries, I would be very in favor of pausing this technology completely, but we do." Interested in AI? Follow @AlltheLatestAI and never fall behind. I track ChatGPT, Claude, and how every new agent is changing how we work and think, then hand you the pure signals.

Jensen Huang on how big Elon Musk's AI buildout has become: "He’s moved from the K’s to the M’s." NVIDIA has reclassified Elon's AI business, moving it out of the enterprise bucket and into the cloud service provider bucket. "They're massive." Interested in AI? Follow @AlltheLatestAI and never fall behind. I track ChatGPT, Claude, and how every new agent is changing how we work and think, then hand you the pure signals.

"Energy Capacity = Economic Capacity" Former Intel CEO Pat Gelsinger explains why America's power grid caps how far AI and the economy can grow: "We went through 10 to 15 years where essentially I was taking coal offline at the rate I was adding renewables, and essentially the nation was flatlined in terms of overall energy capacity." "So essentially our economic capacity as a nation, flat for fifteen years." "Even with that, we've gone to maybe increasing our national energy capacity 4% per year. Going from essentially zero to one." "Nuclear as base load is a fabulous thing that we want to go build more of. Unfortunately all of our renewables have deep dependencies in China." "Energy capacity somewhat dampens how euphoric we can get on AI. Why build a new data center and buy the million GPUs if I can't power them?" Interested in AI? Follow @AlltheLatestAI and never fall behind. I track ChatGPT, Claude, and how every new agent is changing how we work and think, then hand you the pure signals.