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SuperMimic trains humanoid tracker in 3 hours on one GPU

, 4 items in AI Driven Vehicles and Transportation, 2 min read

In this digest (4 items)

SuperMimic trains a humanoid tracker in 3 hours on a single GPU, beating a state-of-the-art baseline that required 7 days on 128 GPUs. The approach uses differentiable planning with stable and effective gradients.

Key points

  • Training speed: 3 hours on a single GPU.

  • Technique: differentiable planning with stable and effective gradients.

Sources

Steertuning – few-shot robot task adaptation in under 5 min

Steertuning adapts a robot to a new task from five human demonstrations in under five minutes, achieving 71% success across twelve new tasks. The system fine-tunes a 400M-parameter diffusion policy for two minutes (2000 updates) and steers actions with the closest demonstration during deployment.

Key points

  • 5 human demonstrations enable task adaptation in under 5 minutes.

  • 71% success rate on 12 tasks in new environments.

Sources

Fable 5.2 agents proof Fermat's Last Theorem

Fable 5.2 agents coordinated to formalize a proof of Fermat's Last Theorem within safety boundaries. The work is shared in a blog post.

Key points

  • Team size: 1,000 Fable 5.2 agents.

  • Goal: formalize a proof of Fermat's Last Theorem.

Sources

Toyota Waymo bZ4X SUV testing start 2027 expansion plans

Toyota and Waymo will begin testing self-driving bZ4X SUVs in 2027. They plan to expand the collaboration beyond Japan to the United Kingdom and other Waymo markets.

Key points

  • Testing self-driving bZ4X SUVs starts in 2027

  • Expansion planned to the United Kingdom and other Waymo markets

Sources