How DeepMind Plans to Reach AGI Safely

About this episode

Demis Hassabis discusses DeepMind's approach to achieving AGI safely and the advancements in AI technology.

DeepMind’s co‑founder and CEO Demis Hassabis lays out a pragmatic path to AGI—why he still sees a 5–10 year window, what current models are missing (reasoning, planning, continual learning), and why world models will likely converge with today’s LLMs. He explains how DeepMind became Google’s “engine room” for AI, shipping Gemini advances across products, and why AI for science (from AlphaFold to materials and energy research) is the most exciting frontier. We also touch on compute, energy constraints, and how to scale without cutting corners on safety. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info .

People in this episode

Guest: Demis Hassabis

Topics covered

• Artificial General Intelligence
• AI Safety
• DeepMind
• Machine Learning
• AI for Science
• Technology Advancements

Keywords

• AGI
• DeepMind
• AI Safety
• Gemini
• AlphaFold
• Machine Learning
• Technology
• AI for Science

Mentioned in this episode

Organizations: DeepMind, Google

Products: Gemini, AlphaFold

Places: California

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