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This AI entrepreneur is developing agents that can plan ahead for the unexpected

MIT Technology Review · AIby Mat Honan ()3 min read5 · 1 read
AI summary · glm-5.3-flashSummaries by Vani AI

Ex-Google DeepMind researcher Danijar Hafner founded a stealth robotics startup applying world models and model-based reinforcement learning to humanoid agents.

Danijar Hafner, 31, left Google DeepMind in fall 2025 to found a stealth San Francisco startup developing humanoid robots that plan ahead using world models trained via model-based reinforcement learning. His prior work includes PlaNet, Dreamer 2 (first human-level Atari agent in a world model), Dreamer 3 (solved the Minecraft Diamond challenge), Dreamer 4 (learned diamond mining from offline video), and DayDreamer, which let robots adapt to novel situations without task-specific training. The profile covers his career from Google Brain intern to founder aiming to handle unfamiliar real-world environments.

Key facts
  • Dreamer 4 learned to mine Minecraft diamonds from offline gameplay videos
  • DayDreamer robots reacted to untrained events such as being pushed over
  • Startup uses humanoid robots imported from China for general-environment navigation
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From the original article

3 min read at technologyreview.com

Danijar Hafner’s office in San Francisco’s SoMa district sits mostly empty. His brand-new startup is still in stealth mode and doesn’t even have its name on the door. On the day I visit, there’s only one other person there, and little in the way of furniture.

MIT Technology Review · AI

By Mat Honan · technologyreview.com

Read the full article at MIT Technology Review · AI

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.