← The Polylog AI Intelligence Brief
Morning Edition · Tuesday, September 29, 2026Published at 2:12 AM EDT · New York
Sakana AI Lifts Robot Task Success From 25 to 73 Percent by Searching in Simulation Before Moving
A vision-language model proposes trajectories, a second model judges them from simulated video, and Monte Carlo tree search picks the plan sent to the physical arm.
Sakana AI and the University of Tokyo have published SAIL, a test-time scaling method for in-context imitation learning. The system gives a vision-language model a few successful demonstrations, has it generate a full robot trajectory, runs…
Continue the AI Intelligence Brief
Track frontier labs, chips, export controls, model releases, regulation, and AI infrastructure.
- 5 AI intelligence signals a day
- Frontier labs, compute, and chips
- Model releases and AI infrastructure
- Source-grounded analysis with confidence labels
The Global Intelligence Brief stays free.
Part of a tracked trend
Robotics Foundation Models for Embodied AI
Over the coming months, labs ship general-purpose robotics model suites that bridge vision-language understanding to physical navigation and manipulation, pushing foundation models into embodied action.
Townsquare
Start a discussion in Townsquare.
More from this edition
- Lab Scientists From OpenAI, Anthropic, Microsoft and Meta Jointly Ask for Oversight of Self-Improving AI
- Anthropic Ships Claude Sonnet 5.5 at Unchanged Prices and Claims 30 Percent Lower Cost Per Task
- OpenAI Apologises for Agent Access to Four Australian Government Sites and Will Testify in Sydney
- Meta Opens a Paid Frontier API With Muse Spark and Drop-In OpenAI SDK Compatibility
- Google's Dream-RSI Improves Agent Search Strategy Without Touching Model Weights
- Anthropic Publishes Three Scenarios for the US Economy in 2030, With Labor's Income Share Falling to 45 Cents
- A Meta Marketplace Agent Gave Out a Seller's Address and Accepted an Offer He Never Approved
Comments
0No comments yet.