Demis Hassabis — Lex Fridman Podcast #448

The 2024 Lex Fridman conversation (recorded after the Nobel Prize announcement) is the update to the 2022 discussion, with AlphaFold and the Nobel serving as a validation point. Hassabis reflects on what it means to win a Nobel Prize for AI work — and notes that the prize itself is a signal that the scientific community has accepted AI as a legitimate tool for making original discoveries, not just automating existing ones. He discusses the Google DeepMind merger: combining DeepMind (RL, scientific discovery) with Google Brain (scalable systems, transformers, language models) gives the merged entity both the long-term scientific ambition and the engineering resources to build it. On Gemini: he describes the goal as a model that can reason across modalities — text, images, video, audio, code — because AGI will need to understand the world as it is, not just as text descriptions of it. On timelines: he's more willing in 2024 to suggest AGI is 'much closer than most people think' without committing to a year. On safety: he describes a 'trust but verify' regime being built at DeepMind, using interpretability tools to inspect model internals before extending autonomy.