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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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Rohan Paul

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36,646 görüntüleme • 3 ay önce •via X (Twitter)

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Demis on the breakthroughs needed for AGI. It is not many. Predict Google DeepMind has Continual Learning before 2026 is finished, and likely other labs too.
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Demis on the breakthroughs needed for AGI. It is not many. Predict Google DeepMind has Continual Learning before 2026 is finished, and likely other labs too.

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Demis Hassabis emphasizes: there is no wall in sight, but according to Hassabis, AGI still needs 1 to 2 breakthroughs. Here he says what is still missing:
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Demis Hassabis emphasizes: there is no wall in sight, but according to Hassabis, AGI still needs 1 to 2 breakthroughs. Here he says what is still missing:

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Google DeepMind CEO Demis Hassabis: AGI will be 10x bigger than the industrial revolution and 10x faster. To reiterate: I think we will see the first significant changes in many scientific fields in 2026.
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Google DeepMind CEO Demis Hassabis: AGI will be 10x bigger than the industrial revolution and 10x faster. To reiterate: I think we will see the first significant changes in many scientific fields in 2026.

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Demis Hassabis says large language models (LLMs) can search and plan but they forget everything once the session ends. This is because today’s models don’t truly “learn” after deployment. He sees continual learning and better memory as key missing ingredients for AGI. Efficient memory, like the brain’s ability to store only what matters, will be crucial. LLMs are powerful, but without memory, they have a "goldfish brain."
4:40

Demis Hassabis says large language models (LLMs) can search and plan but they forget everything once the session ends. This is because today’s models don’t truly “learn” after deployment. He sees continual learning and better memory as key missing ingredients for AGI. Efficient memory, like the brain’s ability to store only what matters, will be crucial. LLMs are powerful, but without memory, they have a "goldfish brain."

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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
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

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.Google DeepMind CEO Demis Hassabis joins Logan Kilpatrick on Release Notes to chat about the momentum of AI development, world models like Genie 3, improved model evaluations through Game Arena with @Kaggle, and the quest for AGI.
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.Google DeepMind CEO Demis Hassabis joins Logan Kilpatrick on Release Notes to chat about the momentum of AI development, world models like Genie 3, improved model evaluations through Game Arena with @Kaggle, and the quest for AGI.

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CEO of Google Deepmind Demis when asked about AGI: “50% chance by 2030” I agree with his definition for AGI as well — being as cognitively capable as any human in any task
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CEO of Google Deepmind Demis when asked about AGI: “50% chance by 2030” I agree with his definition for AGI as well — being as cognitively capable as any human in any task

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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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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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Our CEO Demis Hassabis joined Alex Kantrowitz on the Big Technology podcast to discuss the next steps towards better, safer AI, why AGI could be here in less than 5 years and how we can continue to apply AI models for scientific discovery. 🔬
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Our CEO Demis Hassabis joined Alex Kantrowitz on the Big Technology podcast to discuss the next steps towards better, safer AI, why AGI could be here in less than 5 years and how we can continue to apply AI models for scientific discovery. 🔬

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Demis Hassabis says achieving AGI will require both incremental improvements (scaling and pre-training) and entirely new breakthroughs DeepMind works on both: pushing hard on scaling while exploring experimental research. Research like AlphaEvolve could lead to big leaps, similar to past breakthroughs like Transformers or AlphaGo
1:38

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All remote cognitive jobs, done using only a laptop setup, is most exposed to be automated or heavily reduced by AI. ~ Shane Legg, Chief AGI Scientist and co-founder of Google DeepMind ---- Full video from 'Google DeepMind and Hannah Fry' YT channel (link in comment)
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All remote cognitive jobs, done using only a laptop setup, is most exposed to be automated or heavily reduced by AI. ~ Shane Legg, Chief AGI Scientist and co-founder of Google DeepMind ---- Full video from 'Google DeepMind and Hannah Fry' YT channel (link in comment)

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Google DeepMind CEO Demis Hassabis shares his biggest milestone moments
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Demis confirmed DeepMind hasn’t cracked continual learning. There were rumors on X that Google DeepMind had solved it. Not true. They’re experimenting with blending AlphaZero with large foundation models to see if it can scale and generalize to the real world, not just games.
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2:22

Demis Hassabis disagrees with Sam Altman’s idea that we’ve already passed AGI. He believes AGI has a clear scientific meaning—not just a buzzword. True AGI should match all human cognitive abilities, not just solve tasks. That includes creating new theories, making artistic breakthroughs, and inventing like Einstein or Mozart. Today’s models, in his view, are still far from that.

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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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Google DeepMind CEO Demis Hassabis says we’re in the ‘foothills of the singularity’ I sat down with him to talk about what that means, curing every disease, and human meaning post-AGI: 0:00 Intro 0:45 What Demis is most excited about at I/O 1:46 Have AGI timelines shifted? 3:30 What's still missing before AGI 6:50 AI curing every disease 9:19 What diseases get cured first? 10:50 What Demis works on after AGI 11:48 Human meaning after AGI 13:50 The human skills that get more valuable 15:19 What's underhyped in AI right now

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