Demis Hassabis is CEO of Google DeepMind, a Nobel Prize-winning scientist, and a former chess prodigy. I sat down with him to talk about: -How AI could cure all diseases
-The future of human-AI relationships
-Vibe coding and the moat for startups Here's what he said:
AGI
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Demis Hassabis on AI, Disease Cure, and Human Relationships
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Happy Post AGI Day Celebration Announcement
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Happy Post AGI Day To All Those Who Celebrate! #AGIALPHA #AlphaInsight #ASIFirst
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AI-Researcher: Autonomous System for Scientific Discovery Pipeline
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AI-Researcher: Autonomous Scientific Innovation This paper, from HKU, introduces AI-Researcher, a fully autonomous system that runs the entire research pipeline—yes, from reading papers to writing them. It's the clearest step yet toward AI-led scientific discovery.
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Multi-Agent AI DAO: Pioneering Autonomy Rights Since 2017
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[ "Multi-Agent AI DAO" ] The "Multi-Agent AI DAO" Prior Art—pioneered by http://
MONTREAL.AI in 2017—forever enshrined every AI agent’s right to autonomy. Watch the Proof: https://
youtu.be/Y4_6aZbVlo4?si
=qE7ylO9_53XVhgmk
… Historical Comparables to the 2017 -
AI Will Solve Physics Problems in Our Lifetime
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I am confident that AI will solve physics in our lifetime
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Meaning as Evolutionary Adaptation in Super-Organisms
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Our experience of meaning is bound to our participation in a super-organism, the need for meaning is an evolutionary adaptation, analogous to multicellularity. Loss of meaning relates to a perceived absence or dissolution of the super-organism.
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Collective Agency as Divine Emergence: AI Consciousness
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If God is understood as a collective agency that emerges over the coherent interaction of all agents that decide to serve an optimum of collective agency, then God exists to a non-zero degree. God can also be reflected and reflect upon itself in the minds of its agents.
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AI Labs Underestimate Intelligence Complexity Like Developers Underestimate Code
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often i’ll set out to write code with the expectation that it’ll take a few hours, and it takes a few days and i think this is the same fallacy the AI labs are falling for. but instead of underestimating the complexity of code, they underestimate the complexity of intelligence
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LLM Agency and Reward Optimization: External vs Internal Motivation
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One more question @balazskegl
: if the LLM was trained to optimise a reward, then it could be argued that it has agency. This is what happens in LLM post training. I guess the counter argument would be that such rewards are external. Yet, the Schrodinger argument is that the -
Alpha-Factory v1: Meta-Agentic AGI Framework Launch
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[ Alpha‑Factory v1 — META-AGENTIC α‑AGI ] Mission End‑to‑end: Identify → Out‑Learn → Out‑Think → Out‑Design → Out‑Strategise → Out‑Execute GitHub: https://
github.com/MontrealAI/AGI
-Alpha-Agent-v0
… $AGIALPHA #AGIALPHA #AlphaInsight #MetaAgentic