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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

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Haider.

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68,110 просмотров • 8 месяцев назад •via X (Twitter)

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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
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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

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Demis Hassabis says AGI may be “10x the impact of the Industrial Revolution, at 10x the speed.” A century of change. Compressed into a decade.
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Demis Hassabis says AGI may be “10x the impact of the Industrial Revolution, at 10x the speed.” A century of change. Compressed into a decade.

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73,029 просмотров • 6 месяцев назад

AGI probably needs 1-2 new breakthroughs, like continual learning, selective memory, smarter context windows, and long term planning. ~ Google DeepMind CEO Demis Hassabis But in any case, large foundation models will remain the key component of AGI. --- From 'Alex Kantrowitz' YT channel (link in comment)
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AGI probably needs 1-2 new breakthroughs, like continual learning, selective memory, smarter context windows, and long term planning. ~ Google DeepMind CEO Demis Hassabis But in any case, large foundation models will remain the key component of AGI. --- From 'Alex Kantrowitz' YT channel (link in comment)

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36,646 просмотров • 6 месяцев назад

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.
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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.

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Demis Hassabis says AGI is only a few years away, and society needs to take it seriously now AlphaGo, ten years ago, marked the beginning of the modern AI era "we had five or six years, but didn't use them wisely, and dismissed it as an anomaly, but now these systems are getting really good"
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Demis Hassabis says AGI is only a few years away, and society needs to take it seriously now AlphaGo, ten years ago, marked the beginning of the modern AI era "we had five or six years, but didn't use them wisely, and dismissed it as an anomaly, but now these systems are getting really good"

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Demis Hassabis says AGI will follow the pattern of past tech revolutions But this change will be far bigger — like 10 times the Industrial Revolution, at 10 times the speed "we wouldn't want it not to have happened" The challenge is making sure we handle the downsides much better this time
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Demis Hassabis says AGI will follow the pattern of past tech revolutions But this change will be far bigger — like 10 times the Industrial Revolution, at 10 times the speed "we wouldn't want it not to have happened" The challenge is making sure we handle the downsides much better this time

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📁 Demis Hassabis says that one of the main reasons we are not yet at AGI is the lack of consistency. He explains that current systems can solve International Math Olympiad level problems but still fail at basic logic tasks or even chess. They are uneven intelligences, exceptional in some areas and surprisingly weak in others, which falls short of true AGI.
1:01

📁 Demis Hassabis says that one of the main reasons we are not yet at AGI is the lack of consistency. He explains that current systems can solve International Math Olympiad level problems but still fail at basic logic tasks or even chess. They are uneven intelligences, exceptional in some areas and surprisingly weak in others, which falls short of true AGI.

Jon Hernandez

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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"
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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"

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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.
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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.

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How close is DeepMind to achieving AGI? Demis Hassabis says: We are on track and DeepMind targets AGI completion by 2030 but I wouldn't be surprised if it arrives in the next decade.
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How close is DeepMind to achieving AGI? Demis Hassabis says: We are on track and DeepMind targets AGI completion by 2030 but I wouldn't be surprised if it arrives in the next decade.

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94,348 просмотров • 1 год назад

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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72,911 просмотров • 1 месяц назад

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“I’d love wormholes to be possible.” 🌀 In episode 1 of Google DeepMind: The Podcast, Demis Hassabis joined host Hannah Fry to discuss the potential for AGI to explore the quantum world, probe the Planck scale, and perhaps even discover wormholes. 🤯 →
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“I’d love wormholes to be possible.” 🌀 In episode 1 of Google DeepMind: The Podcast, Demis Hassabis joined host Hannah Fry to discuss the potential for AGI to explore the quantum world, probe the Planck scale, and perhaps even discover wormholes. 🤯 →

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🚨 BREAKING: Google DeepMind CEO Demis Hassabis says AGI could arrive by 2030. And the impact will go far beyond software. Drug discovery could shrink from 10+ years to days AI may unlock entirely new scientific breakthroughs. At AI Ascent 2026, Demis Hassabis outlined what’s coming next: But he also made one thing clear: Today’s AI is still limited. And the next 1–2 years will be critical in shaping what happens next. The bigger shift: Watch the full talk below:

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Google Deepmind CEO gives his prediction on the final AGI architecture: Demis Hassabis just sat down on 20VC and broke down exactly how DeepMind is building toward true AGI, directly pushing back on the idea that LLMs are a dead end. He defends the current trajectory of the models, noting that “we’ve seen how successful these foundation models have been. They can do incredibly impressive things. I don’t think that’s going to go away. We’re still seeing returns from the scaling laws.” But he’s honest about the missing pieces for true superintelligence, saying “I think there might be… there’s a 50-50 chance there’s some things maybe missing that we still need to make breakthroughs in, perhaps their world models, these kinds of approaches.” And when he breaks down what the actual AGI system will look like, he frames it as one question is the LLM foundation model the key component only, or is it the total system. His answer - “I don’t think it’s going to get replaced. I think it’s going to get built on top of these foundation models, just like the way we do with our world models.”
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Google Deepmind CEO gives his prediction on the final AGI architecture: Demis Hassabis just sat down on 20VC and broke down exactly how DeepMind is building toward true AGI, directly pushing back on the idea that LLMs are a dead end. He defends the current trajectory of the models, noting that “we’ve seen how successful these foundation models have been. They can do incredibly impressive things. I don’t think that’s going to go away. We’re still seeing returns from the scaling laws.” But he’s honest about the missing pieces for true superintelligence, saying “I think there might be… there’s a 50-50 chance there’s some things maybe missing that we still need to make breakthroughs in, perhaps their world models, these kinds of approaches.” And when he breaks down what the actual AGI system will look like, he frames it as one question is the LLM foundation model the key component only, or is it the total system. His answer - “I don’t think it’s going to get replaced. I think it’s going to get built on top of these foundation models, just like the way we do with our world models.”

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Google's DeepMind CEO Demis Hassabis: AGI is a system that exhibits all the cognitive capabilities that humans have. The brain is the only existence proof we have that general intelligence is possible. Today’s systems are impressive — but they’re not there yet. We’ve still got at least another 5–10 years to go. AI could be the ultimate tool for accelerating scientific discovery. We can tackle disease, climate, inequality. It could be the ultimate enhancement tool for human scientists. The potential is there — if we do it the right way.
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Google's DeepMind CEO Demis Hassabis: AGI is a system that exhibits all the cognitive capabilities that humans have. The brain is the only existence proof we have that general intelligence is possible. Today’s systems are impressive — but they’re not there yet. We’ve still got at least another 5–10 years to go. AI could be the ultimate tool for accelerating scientific discovery. We can tackle disease, climate, inequality. It could be the ultimate enhancement tool for human scientists. The potential is there — if we do it the right way.

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Trump says our education system should be like Norway. Fun Fact: Norway's school system is one of the most publicly funded socialist systems in the world. But of course, his dumb cult base will love it because he said it.
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Trump says our education system should be like Norway. Fun Fact: Norway's school system is one of the most publicly funded socialist systems in the world. But of course, his dumb cult base will love it because he said it.

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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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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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