MicroAGI trains a handyman model with tens of thousands of hours of video
isnit0 · x · 2026-10-20
The post praises MicroAGI's work, arguing humanoid robots will walk among us sooner than expected.
The quoted tweet explains the approach: frontier LLMs are like geniuses who can't change a lightbulb — strong visual/spatial reasoning but poor at controlling a robot body. The team trained a specialized model on tens of thousands of hours of video to be "a great handyman, not a math professor."
More from Embodied
- iPhone Duo orders slip to January 2027; analyst predicts balance by December — mitchdeg · 2026-10-20
- Skild AI CEO Deepak Pathak to keynote Encord's Long Horizon Physical AI Summit in San Francisco — deepakpathak · 2026-10-20
- Dream-1 tested on dual YAM arms: 17/20 successes with zero collisions — gharik · 2026-10-20
- Galbot proposes observational scaling law for physical recursive self-improvement in VLM agents — Galbot · 2026-10-20
- China's Neuracle wins world's first commercial approval for implantable brain chip, ahead of Neuralink — 96Stats · 2026-10-20
- New "Embodied Olympics" Benchmark: GPT and Claude Agents Play Soccer and Ping Pong — ManlingLi_ · 2026-10-20