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Demis Hassabis proposed a benchmark for scientific AGI: the "Einstein test" Train a system with a knowledge cutoff at 1901, then test whether it can independently rediscover what Einstein did in 1905, including special relativity Once it can, we're on the verge of genuinely novel invention

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DEEPMIND CEO DEMIS HASSABIS: TRUE AGI MUST INVENT SPECIAL RELATIVITY FROM 1901 KNOWLEDGE OR CREATE GO FROM SCRATCH “CAN IT INVENT SPECIAL RELATIVITY LIKE EINSTEIN DID IN 1905? … WHAT YOU’D ACTUALLY WANT IS A FUTURE VERSION OF ALPHAGO TO BE ABLE TO INVENT GO”
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DEEPMIND CEO DEMIS HASSABIS: TRUE AGI MUST INVENT SPECIAL RELATIVITY FROM 1901 KNOWLEDGE OR CREATE GO FROM SCRATCH “CAN IT INVENT SPECIAL RELATIVITY LIKE EINSTEIN DID IN 1905? … WHAT YOU’D ACTUALLY WANT IS A FUTURE VERSION OF ALPHAGO TO BE ABLE TO INVENT GO”

Vivek Sen

12,963 görüntüleme • 2 ay önce

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.
2:52

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 görüntüleme • 1 ay önce

Demis Hassabis AGI-test: Could an AI trained with knowledge only up to 1911 discover general relativity? That's the real test for true AGI. Today's systems can't do it, but it might be possible in a few years.
0:28

Demis Hassabis AGI-test: Could an AI trained with knowledge only up to 1911 discover general relativity? That's the real test for true AGI. Today's systems can't do it, but it might be possible in a few years.

Chubby♨️

12,337 görüntüleme • 6 ay önce

The Einstein Test for AGI. Vishal Misra: “You take an LLM and train it on pre-1916 physics and see if it can come up with the theory of relativity.” “If it does, then we have AGI.” “It’s a high bar, but we should have high bars.” “At the time of Einstein, there were a lot of clues that Newtonian mechanics, there was something missing.” “But until Einstein came up with a new representation of the spacetime continuum, we were stuck.” “If you had a model that just looked at correlations and such... it would not have come up with the beautiful equation that Einstein came up with.” Vishal Misra with martin_casado
2:19

The Einstein Test for AGI. Vishal Misra: “You take an LLM and train it on pre-1916 physics and see if it can come up with the theory of relativity.” “If it does, then we have AGI.” “It’s a high bar, but we should have high bars.” “At the time of Einstein, there were a lot of clues that Newtonian mechanics, there was something missing.” “But until Einstein came up with a new representation of the spacetime continuum, we were stuck.” “If you had a model that just looked at correlations and such... it would not have come up with the beautiful equation that Einstein came up with.” Vishal Misra with martin_casado

a16z

80,968 görüntüleme • 5 ay önce

📁 Demis Hassabis says AGI could arrive in 10 years and usher in a new scientific era, but AI still lacks true creativity: it can’t, for example, devise on its own theories like Einstein’s special relativity in 1905.
2:17

📁 Demis Hassabis says AGI could arrive in 10 years and usher in a new scientific era, but AI still lacks true creativity: it can’t, for example, devise on its own theories like Einstein’s special relativity in 1905.

Jon Hernandez

31,435 görüntüleme • 11 ay önce

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
1:24

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 görüntüleme • 2 ay önce

THE SMARTEST MAN IN AI EXPOSED THE ENTIRE AGI NARRATIVE AS A LIE. GOOGLE DEEPMIND CEO DEMIS HASSABIS SAYS TODAY'S AI STILL CAN'T DO THE ONE THING THAT WOULD PROVE TRUE GENERAL INTELLIGENCE: CREATE A TRULY ORIGINAL IDEA. HIS TEST? TRAIN AN AI ONLY ON HUMAN KNOWLEDGE FROM 1901. THEN ASK IT TO DISCOVER EINSTEIN'S THEORY OF RELATIVITY ON ITS OWN. NO INTERNET. NO MEMORIZED ANSWER. NO HUMAN SOLUTION TO COPY. JUST PURE REASONING. NOT A SINGLE AI TODAY CAN DO IT. AGI MAY BE CLOSER THAN EVER... BUT HASSABIS SAYS WE'RE NOT THERE YET 🤯
2:45

THE SMARTEST MAN IN AI EXPOSED THE ENTIRE AGI NARRATIVE AS A LIE. GOOGLE DEEPMIND CEO DEMIS HASSABIS SAYS TODAY'S AI STILL CAN'T DO THE ONE THING THAT WOULD PROVE TRUE GENERAL INTELLIGENCE: CREATE A TRULY ORIGINAL IDEA. HIS TEST? TRAIN AN AI ONLY ON HUMAN KNOWLEDGE FROM 1901. THEN ASK IT TO DISCOVER EINSTEIN'S THEORY OF RELATIVITY ON ITS OWN. NO INTERNET. NO MEMORIZED ANSWER. NO HUMAN SOLUTION TO COPY. JUST PURE REASONING. NOT A SINGLE AI TODAY CAN DO IT. AGI MAY BE CLOSER THAN EVER... BUT HASSABIS SAYS WE'RE NOT THERE YET 🤯

Vivek Sen

58,397 görüntüleme • 16 gün önce

Google DeepMind’s Demis Hassabis thinks there is a 50% of AGI by 2030. Three ways to test for it: 1. Back test to see if it can create novel insights (eg. give the model all human knowledge up to 1900 and see if it could produce Einstein’s theory of relativity). 2. Ensure general human-level intelligence across every domain (not “jagged intelligence”). 3. Let top experts in 100s of field (eg. Terrence Tao in math) stress test for a month and decide if it reaches bar in specific domain. *** Full episode here:
2:57

Google DeepMind’s Demis Hassabis thinks there is a 50% of AGI by 2030. Three ways to test for it: 1. Back test to see if it can create novel insights (eg. give the model all human knowledge up to 1900 and see if it could produce Einstein’s theory of relativity). 2. Ensure general human-level intelligence across every domain (not “jagged intelligence”). 3. Let top experts in 100s of field (eg. Terrence Tao in math) stress test for a month and decide if it reaches bar in specific domain. *** Full episode here:

Bearly AI

32,841 görüntüleme • 6 ay önce

Demis Hassabis just made every AI benchmark on Earth irrelevant. Hassabis: “True creativity, continual learning, long-term planning. They’re not good at those things.” Three capabilities every human develops naturally. No AI system has achieved one. Hassabis: “They can get gold medals in international math olympiad questions, but they can still fall over on relatively simple math problems if you pose it in a certain way.” Gold medals and grade school failures from the same machine. That’s not intelligence with blind spots. That’s mimicry with peaks. Performance without comprehension. Hassabis: “My definition of AGI has never changed. A system that can exhibit all the cognitive capabilities that humans can.” Not most. All. He proposed the only test that can’t be gamed. Hassabis: “Training an AI system with a knowledge cutoff of 1911 and seeing if it could come up with general relativity like Einstein did in 1915. That’s the true test of whether we have a full AGI system.” Give a machine everything humanity knew before Einstein’s breakthrough. Seal it off. See if it reaches what one mind reached alone. No benchmarks. No leaderboards. No curated evals. Just a mind against the unknown. Nothing passes that today. Hassabis: “The brain is the only existence proof we have, maybe in the universe, of a general intelligence.” One structure in the entire known universe has proven general intelligence is physically possible. One. And every lab on Earth is racing to build the second. Hassabis: “I think we’re still a few years away from that.” Not decades. A machine that passes that test doesn’t stop at physics. It runs that same process against every unsolved problem in every discipline. No fatigue. No lifespan. No ceiling. Einstein was one mind. One field. One lifetime. This would be a thousand Einsteins across every domain simultaneously. And it never dies. The greatest intellectual achievement in human history becomes the floor. The thing that made one man singular becomes the entry exam for a machine. That’s not artificial intelligence. That’s a different kind of mind. It’s years away. Not generations.
1:46

Demis Hassabis just made every AI benchmark on Earth irrelevant. Hassabis: “True creativity, continual learning, long-term planning. They’re not good at those things.” Three capabilities every human develops naturally. No AI system has achieved one. Hassabis: “They can get gold medals in international math olympiad questions, but they can still fall over on relatively simple math problems if you pose it in a certain way.” Gold medals and grade school failures from the same machine. That’s not intelligence with blind spots. That’s mimicry with peaks. Performance without comprehension. Hassabis: “My definition of AGI has never changed. A system that can exhibit all the cognitive capabilities that humans can.” Not most. All. He proposed the only test that can’t be gamed. Hassabis: “Training an AI system with a knowledge cutoff of 1911 and seeing if it could come up with general relativity like Einstein did in 1915. That’s the true test of whether we have a full AGI system.” Give a machine everything humanity knew before Einstein’s breakthrough. Seal it off. See if it reaches what one mind reached alone. No benchmarks. No leaderboards. No curated evals. Just a mind against the unknown. Nothing passes that today. Hassabis: “The brain is the only existence proof we have, maybe in the universe, of a general intelligence.” One structure in the entire known universe has proven general intelligence is physically possible. One. And every lab on Earth is racing to build the second. Hassabis: “I think we’re still a few years away from that.” Not decades. A machine that passes that test doesn’t stop at physics. It runs that same process against every unsolved problem in every discipline. No fatigue. No lifespan. No ceiling. Einstein was one mind. One field. One lifetime. This would be a thousand Einsteins across every domain simultaneously. And it never dies. The greatest intellectual achievement in human history becomes the floor. The thing that made one man singular becomes the entry exam for a machine. That’s not artificial intelligence. That’s a different kind of mind. It’s years away. Not generations.

Dustin

20,703 görüntüleme • 1 ay önce

The smartest man in AI just exposed the whole AGI narrative as a LIE. And he used a physics problem from 1905 to prove it. His name is Demis Hassabis. He runs Google DeepMind, and won the Nobel Prize for using AI to crack a problem in biology that had stumped scientists for 50 years. Almost nobody in this industry has a track record like his. He went on the NothingButTech podcast and called out the biggest lie in AI right now: Right now the loudest voices in AI are telling you that AGI is basically here. OpenAI has literally defined AGI as a system that can outperform humans at most "economically valuable work." In other words, if it replaces enough jobs, we have arrived. Hassabis thinks that bar is a joke. He said real general intelligence has to do what the human brain can do, because the brain is the only proof we have that this kind of intelligence is even possible. He called that "a higher bar than just being able to do some useful economic work," which is about as close as a polite British Nobel laureate gets to calling his rivals out. Then he gave the actual test: Today's AI has read everything humans have ever written, including the theory of relativity. So when it explains relativity back to you, it's repeating an answer that already exists. That's not intelligence. So Hassabis proposed a test that makes memorization impossible. Train an AI on only what humanity knew in 1901, four years BEFORE Einstein published relativity. Then ask it to come up with relativity on its own. It can't look up the answer, because in 1901 the answer doesn't exist yet. The only way to pass is to do what Einstein actually did: Take the same physics everyone else had and reason its way to an idea no human had ever had. Hassabis says not a single AI today can, no matter how much it has memorized. Which means what we keep calling "almost AGI" is really just the best librarian in history. It can find any answer that already exists but it cannot create one that doesn't. His second version is even sharper: AlphaGo, the system his own team built, famously invented a brand new move that no human had played in 2,000 years of the game. Everyone called it genius but Hassabis says that still is not the bar. The real test is not whether an AI can invent a new move inside Go, it is whether an AI could INVENT a game as deep and as beautiful as Go in the first place. No model that exists today can do it. The people telling you AGI has already arrived are the same people raising hundreds of billions of dollars on that exact promise. The valuations only work if the finish line is right in front of us. So the finish line keeps getting dragged closer, and AGI keeps getting quietly redefined down to "does useful work," until the products they already sell happen to qualify. Hassabis has nothing to prove and nothing to sell you. He already won the Nobel, and he is telling you the machines still cannot do the one thing that would make them genuinely intelligent, which is have a truly original idea. To be fair to him, he is not a pessimist about it. He believes real AGI IS coming, and he is spending his life building it. He just refuses to pretend it is already sitting in your phone. So the next time a founder tells you AGI is months away, remember that the one man in the room with a Nobel Prize built his test around Einstein, and admitted that nothing we have made can pass it. What do you think?
2:45

The smartest man in AI just exposed the whole AGI narrative as a LIE. And he used a physics problem from 1905 to prove it. His name is Demis Hassabis. He runs Google DeepMind, and won the Nobel Prize for using AI to crack a problem in biology that had stumped scientists for 50 years. Almost nobody in this industry has a track record like his. He went on the NothingButTech podcast and called out the biggest lie in AI right now: Right now the loudest voices in AI are telling you that AGI is basically here. OpenAI has literally defined AGI as a system that can outperform humans at most "economically valuable work." In other words, if it replaces enough jobs, we have arrived. Hassabis thinks that bar is a joke. He said real general intelligence has to do what the human brain can do, because the brain is the only proof we have that this kind of intelligence is even possible. He called that "a higher bar than just being able to do some useful economic work," which is about as close as a polite British Nobel laureate gets to calling his rivals out. Then he gave the actual test: Today's AI has read everything humans have ever written, including the theory of relativity. So when it explains relativity back to you, it's repeating an answer that already exists. That's not intelligence. So Hassabis proposed a test that makes memorization impossible. Train an AI on only what humanity knew in 1901, four years BEFORE Einstein published relativity. Then ask it to come up with relativity on its own. It can't look up the answer, because in 1901 the answer doesn't exist yet. The only way to pass is to do what Einstein actually did: Take the same physics everyone else had and reason its way to an idea no human had ever had. Hassabis says not a single AI today can, no matter how much it has memorized. Which means what we keep calling "almost AGI" is really just the best librarian in history. It can find any answer that already exists but it cannot create one that doesn't. His second version is even sharper: AlphaGo, the system his own team built, famously invented a brand new move that no human had played in 2,000 years of the game. Everyone called it genius but Hassabis says that still is not the bar. The real test is not whether an AI can invent a new move inside Go, it is whether an AI could INVENT a game as deep and as beautiful as Go in the first place. No model that exists today can do it. The people telling you AGI has already arrived are the same people raising hundreds of billions of dollars on that exact promise. The valuations only work if the finish line is right in front of us. So the finish line keeps getting dragged closer, and AGI keeps getting quietly redefined down to "does useful work," until the products they already sell happen to qualify. Hassabis has nothing to prove and nothing to sell you. He already won the Nobel, and he is telling you the machines still cannot do the one thing that would make them genuinely intelligent, which is have a truly original idea. To be fair to him, he is not a pessimist about it. He believes real AGI IS coming, and he is spending his life building it. He just refuses to pretend it is already sitting in your phone. So the next time a founder tells you AGI is months away, remember that the one man in the room with a Nobel Prize built his test around Einstein, and admitted that nothing we have made can pass it. What do you think?

Ricardo

1,286,342 görüntüleme • 2 ay önce

Demis Hassabis says we shouldn't treat AGI as a marketing term But as a system that exhibits all human cognitive capabilities, including physical intelligence It must go beyond solving math problems to true invention, creating new theories like Einstein or new art genres like Picasso "today's systems are nowhere near that"
1:51

Demis Hassabis says we shouldn't treat AGI as a marketing term But as a system that exhibits all human cognitive capabilities, including physical intelligence It must go beyond solving math problems to true invention, creating new theories like Einstein or new art genres like Picasso "today's systems are nowhere near that"

Haider.

18,918 görüntüleme • 7 ay önce

Demis Hassabis: "my definition of AGI is a testable system with all human cognitive capabilities — including the creativity and invention of our best scientists" Today's systems are nowhere near that Scaling may get us there, but it could still require one or two breakthroughs
1:37

Demis Hassabis: "my definition of AGI is a testable system with all human cognitive capabilities — including the creativity and invention of our best scientists" Today's systems are nowhere near that Scaling may get us there, but it could still require one or two breakthroughs

Haider.

45,166 görüntüleme • 1 ay önce

Demis Hassabis says AGI should become a tool before we try to make it conscious. First use it to read the language of the universe, then decide what it means to build something with agency or a mind.
1:15

Demis Hassabis says AGI should become a tool before we try to make it conscious. First use it to read the language of the universe, then decide what it means to build something with agency or a mind.

vitrupo

30,462 görüntüleme • 3 ay önce

Demis Hassabis says, We should scale current systems as far as possible, because at the minimum, it will be a key component of the final AGI system It could be the entirety of the AGI system But we'll need 1-2 more breakthroughs on the level of the transformer or AlphaGo
0:39

Demis Hassabis says, We should scale current systems as far as possible, because at the minimum, it will be a key component of the final AGI system It could be the entirety of the AGI system But we'll need 1-2 more breakthroughs on the level of the transformer or AlphaGo

Haider.

68,110 görüntüleme • 8 ay önce

Demis Hassabis says true AGI is a theoretical benchmark set by the human brain — the only proven architecture for general intelligence today’s models are impressive but inconsistent; anyone can find flaws within minutes. "real AGI should be so strong that it would take experts months to spot a weakness"
1:24

Demis Hassabis says true AGI is a theoretical benchmark set by the human brain — the only proven architecture for general intelligence today’s models are impressive but inconsistent; anyone can find flaws within minutes. "real AGI should be so strong that it would take experts months to spot a weakness"

Haider.

461,812 görüntüleme • 1 yıl önce

Demis Hassabis says the Nano Banana Pro system is moving toward AGI for imaging It doesn't just make images, it understands what's in them The goal is to merge this with world models like Genie and SIMA into one system "that might be a candidate for proto-AGI"
1:31

Demis Hassabis says the Nano Banana Pro system is moving toward AGI for imaging It doesn't just make images, it understands what's in them The goal is to merge this with world models like Genie and SIMA into one system "that might be a candidate for proto-AGI"

Haider.

50,740 görüntüleme • 8 ay önce

Demis Hassabis says AGI is a scientific goal worth pursuing -- a testable frontier of general intelligence. Kate Crawford pushes back: the industry is already optimized for AGI. What it lacks is alignment with goals that serve people and the planet. "When do we build AI that's actually good for everyone? These are the real benchmarks."
1:47

Demis Hassabis says AGI is a scientific goal worth pursuing -- a testable frontier of general intelligence. Kate Crawford pushes back: the industry is already optimized for AGI. What it lacks is alignment with goals that serve people and the planet. "When do we build AI that's actually good for everyone? These are the real benchmarks."

vitrupo

29,243 görüntüleme • 1 yıl önce

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: Better than the world champion (and interesting new moves) Here’s Demis Hassabis explaining it in our HUGE* Conversation and why we need this in new models:
2:49

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: Better than the world champion (and interesting new moves) Here’s Demis Hassabis explaining it in our HUGE* Conversation and why we need this in new models:

Cleo Abram

37,268 görüntüleme • 4 ay önce

“Once the platform works, biology becomes programmable.” Demis Hassabis, CEO of Google DeepMind, says AI drug discovery won’t progress gradually. It will look more like AlphaFold, years of quiet infrastructure work, then a sudden leap where the system can scale across entire disease areas.
1:19

“Once the platform works, biology becomes programmable.” Demis Hassabis, CEO of Google DeepMind, says AI drug discovery won’t progress gradually. It will look more like AlphaFold, years of quiet infrastructure work, then a sudden leap where the system can scale across entire disease areas.

Jon Hernandez

165,676 görüntüleme • 3 ay önce

Albert Einstein called it the most powerful force in the universe: compound interest. Start using it at a young age & we can foster a generation of millionaires. We’ll lead the way with financial literacy education in Ohio.
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Albert Einstein called it the most powerful force in the universe: compound interest. Start using it at a young age & we can foster a generation of millionaires. We’ll lead the way with financial literacy education in Ohio.

Vivek Ramaswamy

235,510 görüntüleme • 11 ay önce