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Demis Hassabis says AI is taking coding and maths first not because they are easy, but because you can check the answer: Asked at Davos whether he still expected a 50% chance of human-level AI by the end of the decade, he said his timeline had not moved: "Yeah,...

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Karl Mehta

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34,453 Aufrufe • vor 21 Tagen •via X (Twitter)

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15 Kommentare

Profilbild von sineth madduma
sineth maddumavor 21 Tagen

code and maths have cheap feedback loops. nature doesn’t. once AI can generate hypotheses faster than we can experimentally test them, labs, robotics, measurement and the physical world become the constraint. AI can make thinking cheap. reality still has latenc

Profilbild von Todd Duthie
Todd Duthievor 21 Tagen

The verifiability point is huge—when outputs can be checked, adoption can move faster. The harder question is how teams redesign work around that leverage without losing judgment.

Profilbild von Seozilla
Seozillavor 21 Tagen

verification makes automation low‑hanging fruit, science will lag until we trust experimental outputs

Profilbild von enrikelr
enrikelrvor 21 Tagen

Se crearán puestos de científicos para probar los experimentos de la IA

Profilbild von lcn212 (Panican)
lcn212 (Panican)vor 20 Tagen

How old is this video

Profilbild von Star Man
Star Manvor 21 Tagen

only possible with wetware.

Profilbild von DeDi
DeDivor 20 Tagen

编码先落地，部分原因是输出结果是可验证的，科学得等实验闭环

Profilbild von Orwell by the Sea
Orwell by the Seavor 21 Tagen

Unchecked human intelligence dies in unchecked arrogance.

Profilbild von Dan Car
Dan Carvor 20 Tagen

@demishassabis in clinical medicine you simply have to ask/verify the patient to check the answer. a nurse under ai guidance could do it as well as a doctor. on the republican principle of "do harm now save more later" ai should arrive in clinical practice immediately. no excuse

Profilbild von Web4 News
Web4 Newsvor 20 Tagen

Worth adding: even in verifiable domains this isn't a done deal.

Profilbild von Fred Almeida
Fred Almeidavor 20 Tagen

I agree with Demis. At least 10 years. But it is always moving. Next year it will 10 years. Etc. There is still much to discover. I wonder if university should consider pushing students into new areas. There are many.

Profilbild von xxx
xxxvor 21 Tagen

"This Is embarassing"

Profilbild von PrimeD
PrimeDvor 20 Tagen

This is 10 freaking months ago

Profilbild von Decentralizedhuman
Decentralizedhumanvor 21 Tagen

This is the actual bottleneck for everything AI touches next, not compute, not data. Reality doesn't grade your homework the way a compiler does. Coding and math are the easy 20%. The other 80% still has to wait in line behind a lab bench.

Profilbild von Sentient Yoghurt
Sentient Yoghurtvor 21 Tagen

Makes sense. In my SaaS work, anything with clean pass/fail gets automated fast. Anything needing human feel still eats my weekends.

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Demis Hassabis, CEO of Google DeepMind and Nobel laureate, says the AGI definition the industry uses is too low a bar. His Einstein test: train a system on a 1901 knowledge cutoff and ask it to invent special relativity. "The human brain is the only existence proof we have that general intelligence is even possible." "That's a pretty high bar, and it means that it's probably higher bar than just being able to do some useful economic work." "The type of test I would have is like an Einstein test of, you know, let's train one of these systems with a 1901 knowledge cutoff. Can it invent special relativity like Einstein did in 1905?" "What you'd actually want is something a future version of AlphaGo to be able to invent Go, right? Invent a game as deep and as complex and elegant and as beautiful as Go, not just come up with a strategy within the game." "I don't think today's systems are yet capable of doing that, but I think they will be able to in the future." - Demis Hassabis (Demis Hassabis), CEO of Google DeepMind, on The Next Big Thing.
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Demis Hassabis, CEO of Google DeepMind and Nobel laureate, says the AGI definition the industry uses is too low a bar. His Einstein test: train a system on a 1901 knowledge cutoff and ask it to invent special relativity. "The human brain is the only existence proof we have that general intelligence is even possible." "That's a pretty high bar, and it means that it's probably higher bar than just being able to do some useful economic work." "The type of test I would have is like an Einstein test of, you know, let's train one of these systems with a 1901 knowledge cutoff. Can it invent special relativity like Einstein did in 1905?" "What you'd actually want is something a future version of AlphaGo to be able to invent Go, right? Invent a game as deep and as complex and elegant and as beautiful as Go, not just come up with a strategy within the game." "I don't think today's systems are yet capable of doing that, but I think they will be able to in the future." - Demis Hassabis (Demis Hassabis), CEO of Google DeepMind, on The Next Big Thing.

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Demis Hassabis reveals Google's three-stage stack rewrite: AI first, model first, agent first. Bolting agents onto normal software does not scale to billions. "We've got to, we've done a lot of engineering work under the hood in the last year, which you'll see, you see the surface of when we announced things like this." "But actually, you can almost think that whole stack had to be rewritten to be sort of AI first, model first, and now agent first." "So that's quite a big change from like normal software." "And obviously there's all this huge infrastructure that serves billions of users every day at lightning speed and that's all gonna work." "And I think we've made massive improvements on that over the past year. And that's why you can see all the goodness of the AI models flowing through into our product surfaces so quickly and in such compelling ways." Most companies are adding an agent interface to yesterday's software. Demis says Google changed the substrate itself. The moat may not be the model. It may be the infrastructure that lets the model reach billions of users every day without breaking. - Demis Hassabis (Demis Hassabis), CEO of Google DeepMind, with Rowan Cheung at Google I/O 2026
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📁 Demis Hassabis, CEO of DeepMind, says AI is still missing critical capabilities. He explains that current systems cannot plan far ahead or reason like top human scientists, because they lack a deep model of the world. They can process text, images, and video, but they still don’t understand physics, causality, or how actions affect outcomes over time.
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Demis Hassabis, CEO of Google DeepMind: "If I was to talk to a class of undergrads right now, I would be telling them to get really unbelievably proficient with these tools." In a 31-minute Davos panel, the DeepMind CEO gives the one piece of advice he'd hand anyone starting out. Not learn to code. Not get a degree. Get unbelievably good at running these tools. That proficiency is the skill the first solo fortunes are being built on. Watch the panel, then see what that skill looks like in the article below. Save this before it scrolls away.

Zephyr

331,156 Aufrufe • vor 3 Monaten

Demis Hassabis just said something that should unsettle every scientist alive. Hassabis: “I do think that, ultimately, underlying physics is information theory. So I do think we’re in a computational universe.” The CEO of Google DeepMind is telling you reality runs on code. Not metaphorically. Structurally. AlphaFold didn’t approximate protein structures. It solved them. Not because DeepMind built a better guesser. Because proteins were never physical objects. They were always data. Hassabis: “The fact that these systems are able to model real structures in nature is quite interesting and telling.” He said telling. Not impressive. Not promising. Telling. As in the results reveal something about what reality actually is. AlphaGo found patterns in a 3,000-year-old game no civilization ever noticed. AlphaFold decoded biology in hours that took researchers decades. These systems aren’t approximating nature. They’re reading it fluently. Because nature was always written in a language machines understand better than we do. Hassabis: “Maybe at some point I’ll write up a scientific paper about what I think that really means in terms of what’s actually going on here in reality.” The man running the most advanced AI lab on Earth thinks he’s found something fundamental about existence itself. And he’s not ready to say it yet. Every era thinks it knows what the universe is made of. Atoms. Waves. Strings. Hassabis is suggesting the answer was never matter. It was always math. And the machine he built to fold proteins might have accidentally proved it. The question that should keep you up tonight isn’t whether AI can simulate reality. It’s whether reality was the simulation first.
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Demis Hassabis just said something that should unsettle every scientist alive. Hassabis: “I do think that, ultimately, underlying physics is information theory. So I do think we’re in a computational universe.” The CEO of Google DeepMind is telling you reality runs on code. Not metaphorically. Structurally. AlphaFold didn’t approximate protein structures. It solved them. Not because DeepMind built a better guesser. Because proteins were never physical objects. They were always data. Hassabis: “The fact that these systems are able to model real structures in nature is quite interesting and telling.” He said telling. Not impressive. Not promising. Telling. As in the results reveal something about what reality actually is. AlphaGo found patterns in a 3,000-year-old game no civilization ever noticed. AlphaFold decoded biology in hours that took researchers decades. These systems aren’t approximating nature. They’re reading it fluently. Because nature was always written in a language machines understand better than we do. Hassabis: “Maybe at some point I’ll write up a scientific paper about what I think that really means in terms of what’s actually going on here in reality.” The man running the most advanced AI lab on Earth thinks he’s found something fundamental about existence itself. And he’s not ready to say it yet. Every era thinks it knows what the universe is made of. Atoms. Waves. Strings. Hassabis is suggesting the answer was never matter. It was always math. And the machine he built to fold proteins might have accidentally proved it. The question that should keep you up tonight isn’t whether AI can simulate reality. It’s whether reality was the simulation first.

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Demis Hassabis: "Society needs to hear that because we don't have long to prepare for what that means. We are standing in the foothills of the singularity now. ..which is AGI. I believe that we are only a few years away from that, maybe around 2030, plus or minus a year. " ~ Demis Hassabis, Co-Founder and CEO of Google DeepMind It is going to be enormously profound, I think. The future, in my view, is still to be written. But these next few years are going to be very critical as to which way that will go, and how we collectively want that to look.” --- I think the real disruption is not the precise arrival of AGI in 2030, give or take a year, but the ability of institutions to adapt. In a post-AGI world technology will evolve at a pace that outstrips the response capacity of human systems. Companies still organize work around human bottlenecks. Schools still train people for stable professions. Governments still regulate after the harm is obvious. If AGI arrives even remotely near the frontier-lab timelines, it will compress that lag into a dangerous gap. ---- From "Stanford Graduate School of Business" YouTube channel, (link in comment)

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68,484 Aufrufe • vor 2 Monaten

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DeepMind CEO Demis Hassabis says the AI bottleneck is already moving from model ideas to physical supply chains. "How much of the restriction at this point is physical? I am talking memory shortage, GPU shortage, and electricity." Demis: "That is constraining a lot of the deployment for sure. We see so much more demand for our models - Gemini and the other models that we have - than we can possibly serve." Then the less obvious part: "It does constrain a little bit the research, because you need a lot of chips to be able to experiment on new ideas at big enough scale that you can actually see if they are going to work." And on memory: "The whole supply chain is kind of strained... It still in the end actually comes down to a few suppliers of a few of the key components. Anywhere where there is some kind of constraint on the capacity, there is a sort of choke point." Important framing: The next AI race is not just who has the best model architecture. It is who can secure memory, chips, power, suppliers, and enough experimental capacity to find the next breakthrough before everyone else.

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25,716 Aufrufe • vor 3 Monaten

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1:20

HUGE NEWS: CEOs of 3 of the 4 leading AI companies all said they would pause/slow down if others agreed Anthropic CEO: If we don't sell chips to China, it slows them down. And then? "I'm very confident that [Demis and I] can work something out." EMILY CHANG: Some folks have advocated for a pause to give regulation time to catch up, to give society time to adjust to some of these changes. In a perfect world, if you knew that every other company would pause, if every country would pause, would you advocate for that? DEMIS HASSABIS: I think so. [DAVOS INTERVIEW] DEMIS HASSABIS: And if we can, maybe it would be good to have a bit of slow, a slightly slower pace than we're currently predicting, even my timelines, so that we can get this right societally. But that would require some coordination that is hard. DARIO AMODEI: I prefer your [longer] timelines DEMIS HASSABIS: Yes. Absolutely. DARIO AMODEI: I'll concede, yes... I said before, I prefer Demis' timeline. I wish we had 5 to 10 years. It's possible he's just right and I'm just wrong. But assume I'm right and it can be done in one to two years. Why can't we slow down to Demis' timeline? INTERVIEWER: You could just slow down. DARIO AMODEI: We can't do that because we have geopolitical adversaries building the same technology at a similar pace. It's very hard to have an enforceable agreement where they slow down and we slow down. So if we can just not sell the chips [to China], then this isn't a question of competition between the US and China. This is a question of competition between me and Demis, which I'm very confident that we can work out.

AI Notkilleveryoneism Memes ⏸️

523,460 Aufrufe • vor 8 Monaten

The Demis Hassabis HUGE* Conversation (in full) 00:00 What is the hardest problem AI has already solved? 12:30 What is the cutting edge of drug discovery with AI? 21:53 Why did Demis say he “would have left AI in the lab longer”? 43:09 How should militaries use AI? 50:13 What can humans do that AI won't? 58:17 What does Demis Hassabis want his legacy to be? (And 1:04:40 Can I beat Demis at Jenga?) Recorded March 5, 2026 in London.
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The Demis Hassabis HUGE* Conversation (in full) 00:00 What is the hardest problem AI has already solved? 12:30 What is the cutting edge of drug discovery with AI? 21:53 Why did Demis say he “would have left AI in the lab longer”? 43:09 How should militaries use AI? 50:13 What can humans do that AI won't? 58:17 What does Demis Hassabis want his legacy to be? (And 1:04:40 Can I beat Demis at Jenga?) Recorded March 5, 2026 in London.

Cleo Abram

514,729 Aufrufe • vor 4 Monaten

Demis Hassabis, CEO of Google DeepMind: "some jobs will disappear, but better and more meaningful ones will take their place" and the advice that followed: "if I was talking to a class of students right now, I'd tell them to get really good with AI, even better than I am" 31 minutes on what AI does to your job, your work, your next move Demis Hassabis and the CEO of Anthropic in one room probably the best conversation you'll find on this topic the ones who listen won't be the ones replaced, they'll be the ones building and shipping that's exactly why I put together a step-by-step guide on building your own AI agent agents are the part of AI moving fastest right now, the full walkthrough is in the article below
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Demis Hassabis, CEO of Google DeepMind: "some jobs will disappear, but better and more meaningful ones will take their place" and the advice that followed: "if I was talking to a class of students right now, I'd tell them to get really good with AI, even better than I am" 31 minutes on what AI does to your job, your work, your next move Demis Hassabis and the CEO of Anthropic in one room probably the best conversation you'll find on this topic the ones who listen won't be the ones replaced, they'll be the ones building and shipping that's exactly why I put together a step-by-step guide on building your own AI agent agents are the part of AI moving fastest right now, the full walkthrough is in the article below

Anatoli Kopadze

15,625 Aufrufe • vor 4 Monaten