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The Einstein Test doesn't feel too far away. AI isn't just mimicking human knowledge. It's obvious when you look at AlphaZero. By creating its own dataset through self-play (not human moves!) AlphaZero went from: - Breakfast time: Playing chess randomly - Lunch time: Competing with Demis - Dinner time:... show more

Cleo Abram

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37,268 Aufrufe • vor 3 Monaten •via X (Twitter)

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Josh Waitzkin: It took AlphaZero just 3 HOURS to become better at chess than any human in history - despite not even being taught HOW to play. Imagine your life's work, training for 40 years, and in 3 hours it's stronger than you. "And imagine that for fucking everything." "We're entering a world now where we're facing 3800 Elo everything, that are kicking our ass at everything." "It's so hard for us to admit we'll be the ant relative to the human." The chess Elo rating gap between a 9 yr old and the top human is the same as the top human and best AI. (h/t vitrupo)

Josh Waitzkin: It took AlphaZero just 3 HOURS to become better at chess than any human in history - despite not even being taught HOW to play. Imagine your life's work, training for 40 years, and in 3 hours it's stronger than you. "And imagine that for fucking everything." "We're entering a world now where we're facing 3800 Elo everything, that are kicking our ass at everything." "It's so hard for us to admit we'll be the ant relative to the human." The chess Elo rating gap between a 9 yr old and the top human is the same as the top human and best AI. (h/t vitrupo)

AI Notkilleveryoneism Memes ⏸️

144,566 Aufrufe • vor 1 Jahr

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.

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.

Karl Mehta

72,911 Aufrufe • vor 21 Tagen

Demis Hassabis recommendation for college students. He’s still do STEM, math and computer science. Expertise in those fields will help better leverage AI for at least next decade. Those in non-techical majors, really “lean in to” using latest models. AI labs spending so much time creating new models that they’ve only “scratched the surface” of what the models can actually do (huge “capability overhang”). And expertise in any field can be turbocharged by smart use of AI. “Double down on your own agency. The future is still to be written. Don’t listen to anyone that says it’s not.”

Demis Hassabis recommendation for college students. He’s still do STEM, math and computer science. Expertise in those fields will help better leverage AI for at least next decade. Those in non-techical majors, really “lean in to” using latest models. AI labs spending so much time creating new models that they’ve only “scratched the surface” of what the models can actually do (huge “capability overhang”). And expertise in any field can be turbocharged by smart use of AI. “Double down on your own agency. The future is still to be written. Don’t listen to anyone that says it’s not.”

Bearly AI

218,170 Aufrufe • vor 2 Monaten

omg.. this new AI is unbelievable you can animate objects in image by literally dragging it with your mouse.. it's live, in real time, infinite.. and you can move the camera too this is a huge breakthrough for AI video, link in comment here's why its crazy:

omg.. this new AI is unbelievable you can animate objects in image by literally dragging it with your mouse.. it's live, in real time, infinite.. and you can move the camera too this is a huge breakthrough for AI video, link in comment here's why its crazy:

el.cine

136,990 Aufrufe • vor 9 Monaten

A key argument for short timelines is that LLMs are basically baby AGIs who only need some small unhobblings in order to match humans. But why is this argument any different than saying AlphaZero is baby AGI? After all, it was superhuman in some domains, genuinely creative (remember move 37?), great at exploration, and could even generalize to new games. Why won't we look back in 10 years at LLMs as another AlphaZero-like step in the decades-long path to AGI, but not the thing itself? I asked AI researchers Sholto Douglas and Trenton Bricken: "You do need to crack general conceptual understand of the world. [With LLMs] you get the initial reward signal on tasks in the real world in harder to specify domains. All of a sudden you get access to a reward signal from the real world and you can start climbing it. AlphaZero didn't have the first rung to pull on."

A key argument for short timelines is that LLMs are basically baby AGIs who only need some small unhobblings in order to match humans. But why is this argument any different than saying AlphaZero is baby AGI? After all, it was superhuman in some domains, genuinely creative (remember move 37?), great at exploration, and could even generalize to new games. Why won't we look back in 10 years at LLMs as another AlphaZero-like step in the decades-long path to AGI, but not the thing itself? I asked AI researchers Sholto Douglas and Trenton Bricken: "You do need to crack general conceptual understand of the world. [With LLMs] you get the initial reward signal on tasks in the real world in harder to specify domains. All of a sudden you get access to a reward signal from the real world and you can start climbing it. AlphaZero didn't have the first rung to pull on."

Dwarkesh Patel

46,667 Aufrufe • vor 1 Jahr

Our history students spend 45 minutes a day voluntarily learning geography. Every break, Every lunch... Same thing... GeoGuesser. So we asked the obvious question: Why doesn't this exist for history? We built it. You watch AI footage from a time and place in history. Then you guess where and when it happened. They love it.

Our history students spend 45 minutes a day voluntarily learning geography. Every break, Every lunch... Same thing... GeoGuesser. So we asked the obvious question: Why doesn't this exist for history? We built it. You watch AI footage from a time and place in history. Then you guess where and when it happened. They love it.

Austin Way

197,242 Aufrufe • vor 4 Monaten

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.

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 ⏸️

522,984 Aufrufe • vor 6 Monaten

I’m fully with Demis Hassabis on this. STEM still matters deeply, not because humans will outcode AI, but because we need to understand, steer, and define problems at a high level. At the same time, AI is blowing the doors open for creativity. When technical barriers fall, taste, judgment, and vision become the real edge. The future belongs to people who know what to build and why, not just how. Do you think schools are preparing kids for that reality or are they still training them for a world that’s already gone?

I’m fully with Demis Hassabis on this. STEM still matters deeply, not because humans will outcode AI, but because we need to understand, steer, and define problems at a high level. At the same time, AI is blowing the doors open for creativity. When technical barriers fall, taste, judgment, and vision become the real edge. The future belongs to people who know what to build and why, not just how. Do you think schools are preparing kids for that reality or are they still training them for a world that’s already gone?

VraserX e/acc

58,360 Aufrufe • vor 5 Monaten

Demis Hassabis has a test for whether AI is actually creative. Give it only the data Einstein had in 1901 and see if it invents relativity. He thinks today's text models will never pass it. This is his bar for true creativity. Not extrapolating something already known. Generating a genuinely new hypothesis about reality that nobody has reached before. The thing Einstein did in 1905 with a handful of papers that rewrote physics. Hassabis wants to hand an AI the same starting data Einstein had and see if it gets there on its own. No peeking past the cutoff. Then he explained why he doubts text alone can do it. Einstein daydreamed his way to relativity. He was a patent clerk imagining what it would look like to ride alongside a beam of light. He ran the experiment in his head first, then proved it with math. Yann LeCun, who won the Turing Award and ran AI at Meta, says the same thing in blunter terms. He says today's models don't understand the physical world as well as a housecat, and that text alone is "complete BS" as a path to real intelligence. Two of the most decorated minds in AI agree the missing piece is the same. Hassabis thinks an AI needs to understand the world of atoms, not just the world of bits. Most of the industry is racing to scale text models. Hassabis just told them the most important kind of thinking might live somewhere text can't reach. --- Watch the full interview at Semafor on YouTube

Demis Hassabis has a test for whether AI is actually creative. Give it only the data Einstein had in 1901 and see if it invents relativity. He thinks today's text models will never pass it. This is his bar for true creativity. Not extrapolating something already known. Generating a genuinely new hypothesis about reality that nobody has reached before. The thing Einstein did in 1905 with a handful of papers that rewrote physics. Hassabis wants to hand an AI the same starting data Einstein had and see if it gets there on its own. No peeking past the cutoff. Then he explained why he doubts text alone can do it. Einstein daydreamed his way to relativity. He was a patent clerk imagining what it would look like to ride alongside a beam of light. He ran the experiment in his head first, then proved it with math. Yann LeCun, who won the Turing Award and ran AI at Meta, says the same thing in blunter terms. He says today's models don't understand the physical world as well as a housecat, and that text alone is "complete BS" as a path to real intelligence. Two of the most decorated minds in AI agree the missing piece is the same. Hassabis thinks an AI needs to understand the world of atoms, not just the world of bits. Most of the industry is racing to scale text models. Hassabis just told them the most important kind of thinking might live somewhere text can't reach. --- Watch the full interview at Semafor on YouTube

Ihtesham Ali

18,905 Aufrufe • vor 1 Monat

🇺🇸 ELON: WE’RE LIVING IN THE MOST INTERESTING TIME IN HUMAN HISTORY Host: "You're solving a lot of problems and creating an exciting future. What gives you hope for today, not just for humanity, but personally?" Elon: "I think the future is going to be very interesting and exciting. Would I want to be at any other point in human history? I think the answer is no. We’re at the most interesting part of human history. And it's getting more interesting with each passing month. If we’re living in the most fascinating time, we should feel very lucky to be alive right now to witness these amazing things happen." Source: Tesla Owners Silicon Valley

🇺🇸 ELON: WE’RE LIVING IN THE MOST INTERESTING TIME IN HUMAN HISTORY Host: "You're solving a lot of problems and creating an exciting future. What gives you hope for today, not just for humanity, but personally?" Elon: "I think the future is going to be very interesting and exciting. Would I want to be at any other point in human history? I think the answer is no. We’re at the most interesting part of human history. And it's getting more interesting with each passing month. If we’re living in the most fascinating time, we should feel very lucky to be alive right now to witness these amazing things happen." Source: Tesla Owners Silicon Valley

Mario Nawfal

46,061 Aufrufe • vor 1 Jahr

Why do time slow down as you approach the speed of light? Because space and time are not separate things. They are woven together into spacetime, and the speed of light is built into its structure. Every object moves through spacetime at the same fundamental rate. When you are at rest, almost all of that motion is through time. As you move faster through space, some of that motion is redirected away from time. The total stays constant, so your clock must tick more slowly. This is not philosophy or metaphor. It has been measured with atomic clocks on airplanes and satellites. Move fast enough, and you do not just cross distances differently, you experience less time itself.

Why do time slow down as you approach the speed of light? Because space and time are not separate things. They are woven together into spacetime, and the speed of light is built into its structure. Every object moves through spacetime at the same fundamental rate. When you are at rest, almost all of that motion is through time. As you move faster through space, some of that motion is redirected away from time. The total stays constant, so your clock must tick more slowly. This is not philosophy or metaphor. It has been measured with atomic clocks on airplanes and satellites. Move fast enough, and you do not just cross distances differently, you experience less time itself.

The Scientific Lens

12,149 Aufrufe • vor 6 Monaten

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

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

Karl Mehta

36,361 Aufrufe • vor 25 Tagen

AI has started building its own successors. It's happening right now. Humans still kick most of it off, but the models are already training the next models, and each version builds a better version faster than the last. We know what happens when something gets an advantage and the substrate is there... it proliferates incredibly fast. Soon it just runs the whole process itself. People are still debating whether AI takes your job. That's not the question. You can't compete with this intelligence at all. Next to it the human is negative value, the slowest one in the room. And this is the slowest it will ever move again. It's about to run on its own, faster than we can conceive of, and nobody's prepared for that. Wonderful conversation as ever with Emad.

AI has started building its own successors. It's happening right now. Humans still kick most of it off, but the models are already training the next models, and each version builds a better version faster than the last. We know what happens when something gets an advantage and the substrate is there... it proliferates incredibly fast. Soon it just runs the whole process itself. People are still debating whether AI takes your job. That's not the question. You can't compete with this intelligence at all. Next to it the human is negative value, the slowest one in the room. And this is the slowest it will ever move again. It's about to run on its own, faster than we can conceive of, and nobody's prepared for that. Wonderful conversation as ever with Emad.

Raoul Pal

63,554 Aufrufe • vor 21 Tagen

YOUR DOCTOR SPENDS MORE TIME TYPING THAN LOOKING AT YOU and it's not their fault. every visit comes with notes, letters, billing codes, summaries. hours of paperwork that steal time from the patient. Heidi Health flips that. it's an AI assistant that listens to the visit and does the paperwork itself: → transcribes in real time and writes the clinical note → drafts letters, codes and patient summaries → keeps working even if the internet drops → covers 200+ specialties → HIPAA, GDPR and NHS compliant the doctor talks to you. Heidi writes in the background. why this matters to you: the time your doctor isn't spending on a keyboard… is time they actually look at you, listen, and treat you. less screen. more human. link below ⬇️

YOUR DOCTOR SPENDS MORE TIME TYPING THAN LOOKING AT YOU and it's not their fault. every visit comes with notes, letters, billing codes, summaries. hours of paperwork that steal time from the patient. Heidi Health flips that. it's an AI assistant that listens to the visit and does the paperwork itself: → transcribes in real time and writes the clinical note → drafts letters, codes and patient summaries → keeps working even if the internet drops → covers 200+ specialties → HIPAA, GDPR and NHS compliant the doctor talks to you. Heidi writes in the background. why this matters to you: the time your doctor isn't spending on a keyboard… is time they actually look at you, listen, and treat you. less screen. more human. link below ⬇️

marcus

89,997 Aufrufe • vor 1 Monat

The smartest physicist quit physics to build AI. Here’s why that matters. In a recent interview, Demis Hassabis lays out one of the clearest origin stories for modern AI I’ve heard. He starts as a physics kid obsessed with the big stuff: reality, consciousness, why anything exists at all. Feynman was his hero. But then comes the uncomfortable realization: for decades, fundamental physics barely moved. The deepest questions stayed stuck. So he pivots. Not away from truth, but toward leverage. If the human brain is the bottleneck, don’t push harder on the same brain. Build a new one. AI, in his framing, isn’t a product. It’s the ultimate scientific instrument. A tool to smash through the ceiling that human cognition hit in physics, biology, and beyond. And the twist is beautiful: By trying to build intelligence, we’re forced to understand our own. AI becomes both microscope and mirror. This isn’t about apps or chatbots. It’s about finishing the questions physics couldn’t.

The smartest physicist quit physics to build AI. Here’s why that matters. In a recent interview, Demis Hassabis lays out one of the clearest origin stories for modern AI I’ve heard. He starts as a physics kid obsessed with the big stuff: reality, consciousness, why anything exists at all. Feynman was his hero. But then comes the uncomfortable realization: for decades, fundamental physics barely moved. The deepest questions stayed stuck. So he pivots. Not away from truth, but toward leverage. If the human brain is the bottleneck, don’t push harder on the same brain. Build a new one. AI, in his framing, isn’t a product. It’s the ultimate scientific instrument. A tool to smash through the ceiling that human cognition hit in physics, biology, and beyond. And the twist is beautiful: By trying to build intelligence, we’re forced to understand our own. AI becomes both microscope and mirror. This isn’t about apps or chatbots. It’s about finishing the questions physics couldn’t.

VraserX e/acc

77,489 Aufrufe • vor 7 Monaten

Demis Hassabis says world models are his longest standing passion and explains benefits vs. language models: ▫️ “I think language models are able to understand a lot about the world. More than we expected because language is actually probably richer than we thought. But there's still a lot about the spatial dynamics of the world, spatial awareness and the physical context we're in — and how that works mechanically — that is hard to describe in words and isn't generally described in corpuses of words. Alot of this is allied to learning from experience. There's a lot of things which you can't really describe something. You have to just experience it. Maybe the senses and so on are very hard to put into words. Whether that's motor angles and smell and these kinds of senses, it's very difficult to describe that in any kind of language.”▫️ This is what Demis and Google Deepmind is trying to solve with Genie. He also says that the video models (Veo) will play a part in training the world models and this is all key for AI robotics.

Demis Hassabis says world models are his longest standing passion and explains benefits vs. language models: ▫️ “I think language models are able to understand a lot about the world. More than we expected because language is actually probably richer than we thought. But there's still a lot about the spatial dynamics of the world, spatial awareness and the physical context we're in — and how that works mechanically — that is hard to describe in words and isn't generally described in corpuses of words. Alot of this is allied to learning from experience. There's a lot of things which you can't really describe something. You have to just experience it. Maybe the senses and so on are very hard to put into words. Whether that's motor angles and smell and these kinds of senses, it's very difficult to describe that in any kind of language.”▫️ This is what Demis and Google Deepmind is trying to solve with Genie. He also says that the video models (Veo) will play a part in training the world models and this is all key for AI robotics.

Bearly AI

123,703 Aufrufe • vor 7 Monaten

One of the most human videos I have seen in quite some time by the wonderful AB talks. Titled: #ABtalks: “How the People Feel.” Describing so accurately what billions of us are feeling, experiencing. We are doing everything in on power, as individuals to stop this slaughter. This bombardment. This annihilation. We are human. So we are heartbroken as we watch crimes against humanity being played on in our hands. On our screens. Through our phones. I know it is so difficult to hear the cries. The screams of terror. The pictures of death. The sights of people, families and villages destroyed. I know the guilt of putting away your phone when it's too much. I know it. Because I feel it. But now is not the time to look away. Those screams of terror are from real people. Like you and I. Those cries of pain are like families just like our own. We must keep speaking up. Shouting THEIR story. Their plight. That they are telling us through our screens, day after day, month after month. You make think you are one person, and what can you do?! I think that all the time. But we do what they are asking us. Keep their voices alive. Keep their stories heard. And if they don't make it; makes sure the world remembers them and justice is served ✨🕊️

One of the most human videos I have seen in quite some time by the wonderful AB talks. Titled: #ABtalks: “How the People Feel.” Describing so accurately what billions of us are feeling, experiencing. We are doing everything in on power, as individuals to stop this slaughter. This bombardment. This annihilation. We are human. So we are heartbroken as we watch crimes against humanity being played on in our hands. On our screens. Through our phones. I know it is so difficult to hear the cries. The screams of terror. The pictures of death. The sights of people, families and villages destroyed. I know the guilt of putting away your phone when it's too much. I know it. Because I feel it. But now is not the time to look away. Those screams of terror are from real people. Like you and I. Those cries of pain are like families just like our own. We must keep speaking up. Shouting THEIR story. Their plight. That they are telling us through our screens, day after day, month after month. You make think you are one person, and what can you do?! I think that all the time. But we do what they are asking us. Keep their voices alive. Keep their stories heard. And if they don't make it; makes sure the world remembers them and justice is served ✨🕊️

Dr. Jennifer Cassidy

661,680 Aufrufe • vor 2 Jahren

The most skilled guy in the AI industry just said we're 1-2 breakthroughs away from AGI. And he explained exactly what's missing. Demis Hassabis runs Google DeepMind. He won the Nobel Prize in Chemistry last year. He's literally the reason why Google is considered the leader of the AI race. And he just dropped the most specific AGI timeline ever: "One or two AlphaGo-level technological breakthroughs." That's it. That's all standing between us and artificial general intelligence. But here's the thing... LLMs are NOT going to get us there. ChatGPT, Gemini, Claude - they're all hitting the same wall. They can't plan long-term. Can't create NEW ideas. Can't understand physics. Demis called them "jagged intelligences. Very good at certain things. Completely incapable of others." You've felt this yourself. You've felt this yourself. You ask ChatGPT a complex question and it sounds smart. But ask it to solve something that requires REASONING across multiple steps? It falls apart. So what ARE the 2 breakthroughs we need? Breakthrough #1: World Models AI that understands how physics actually works. How water flows. How cause and effect works. DeepMind already has early versions (Genie, Veo). The insight: If AI can GENERATE something realistic, it UNDERSTANDS it. This is the foundation for robotics and AI that interacts with reality. Breakthrough #2: Agentic Systems AI that can DO things. Not just answer questions. Plan multiple steps. Execute autonomously. Adjust when wrong. DeepMind proved this with AlphaGo in 2016 - planning 20+ moves ahead to beat the world champion. Now they're generalizing it to the real world. And here's the most interesting part: Demis says these two things are starting to CONVERGE. LLMs + World Models + Agentic Behavior = AGI And when I say converge, I mean Google is already building it. They're setting up the first fully automated scientific laboratory in the UK. No humans running experiments. AI designs the test. Robots execute it. AI analyzes results. AI adjusts and iterates. The lab will work on: → Room-temperature superconductors → Nuclear fusion materials → New battery chemistries → Climate tech breakthroughs Demis's logic is simple: "If AI can screen materials 100X faster, the energy revolution takes 10 years instead of 100." But here's the scary part: China is MONTHS behind. Not years. "They're very close to the frontier. Maybe only months behind." DeepSeek. Alibaba's Qwen models. They're catching up fast. And unlike what people thought, they're doing it WITHOUT access to the most advanced Nvidia chips. The window for the West to lead in AGI is shrinking. The economic impact? Demis: "10 times bigger than the Industrial Revolution. And maybe 10 times faster." Industrial Revolution took 100+ years and reshaped civilization. This will be 10X bigger in 1/10th the time. Mass job displacement. Economic restructuring. New industries overnight. But also: → Curing all disease → Solving climate change → Unlimited clean energy → "Radical abundance" Demis is betting DeepMind can get there first. Google spent $400 million on DeepMind in 2014. That stake is now worth 100s of billions. Because DeepMind is now the "engine room" of ALL of Google's AI. Every Gemini model. Every AI feature in Search, Gmail, Workspace. All built by DeepMind. Shipped across Google's dozens of billion-user products instantly. That distribution is their superpower. The final thing Demis said that stuck with me: "AGI is probably the most transformative moment in human history. And it's on the horizon." One or two breakthroughs and 5 years away. According to the most skilled guy in the industry.

The most skilled guy in the AI industry just said we're 1-2 breakthroughs away from AGI. And he explained exactly what's missing. Demis Hassabis runs Google DeepMind. He won the Nobel Prize in Chemistry last year. He's literally the reason why Google is considered the leader of the AI race. And he just dropped the most specific AGI timeline ever: "One or two AlphaGo-level technological breakthroughs." That's it. That's all standing between us and artificial general intelligence. But here's the thing... LLMs are NOT going to get us there. ChatGPT, Gemini, Claude - they're all hitting the same wall. They can't plan long-term. Can't create NEW ideas. Can't understand physics. Demis called them "jagged intelligences. Very good at certain things. Completely incapable of others." You've felt this yourself. You've felt this yourself. You ask ChatGPT a complex question and it sounds smart. But ask it to solve something that requires REASONING across multiple steps? It falls apart. So what ARE the 2 breakthroughs we need? Breakthrough #1: World Models AI that understands how physics actually works. How water flows. How cause and effect works. DeepMind already has early versions (Genie, Veo). The insight: If AI can GENERATE something realistic, it UNDERSTANDS it. This is the foundation for robotics and AI that interacts with reality. Breakthrough #2: Agentic Systems AI that can DO things. Not just answer questions. Plan multiple steps. Execute autonomously. Adjust when wrong. DeepMind proved this with AlphaGo in 2016 - planning 20+ moves ahead to beat the world champion. Now they're generalizing it to the real world. And here's the most interesting part: Demis says these two things are starting to CONVERGE. LLMs + World Models + Agentic Behavior = AGI And when I say converge, I mean Google is already building it. They're setting up the first fully automated scientific laboratory in the UK. No humans running experiments. AI designs the test. Robots execute it. AI analyzes results. AI adjusts and iterates. The lab will work on: → Room-temperature superconductors → Nuclear fusion materials → New battery chemistries → Climate tech breakthroughs Demis's logic is simple: "If AI can screen materials 100X faster, the energy revolution takes 10 years instead of 100." But here's the scary part: China is MONTHS behind. Not years. "They're very close to the frontier. Maybe only months behind." DeepSeek. Alibaba's Qwen models. They're catching up fast. And unlike what people thought, they're doing it WITHOUT access to the most advanced Nvidia chips. The window for the West to lead in AGI is shrinking. The economic impact? Demis: "10 times bigger than the Industrial Revolution. And maybe 10 times faster." Industrial Revolution took 100+ years and reshaped civilization. This will be 10X bigger in 1/10th the time. Mass job displacement. Economic restructuring. New industries overnight. But also: → Curing all disease → Solving climate change → Unlimited clean energy → "Radical abundance" Demis is betting DeepMind can get there first. Google spent $400 million on DeepMind in 2014. That stake is now worth 100s of billions. Because DeepMind is now the "engine room" of ALL of Google's AI. Every Gemini model. Every AI feature in Search, Gmail, Workspace. All built by DeepMind. Shipped across Google's dozens of billion-user products instantly. That distribution is their superpower. The final thing Demis said that stuck with me: "AGI is probably the most transformative moment in human history. And it's on the horizon." One or two breakthroughs and 5 years away. According to the most skilled guy in the industry.

Ricardo

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