Tony Zhao unveiled ACT-2 Preview, a robotics model (referred to as Memo) that he says combines wide generalization and high reliability: a single fine-tuning example teaches a behavior that generalizes zero-shot to real, unseen homes, achieving a claimed 99% success rate.
Tony Zhao announced ACT-2 Preview, a robotics model claimed to unify broad generalization with high reliability.
Needed one yesterday.
Tony Zhao (@tonyzzhao)
Introducing ACT-2 Preview
The first robotics model to unify broad generalization with high reliability. A single fine-tuning example can teach Memo a new behavior that generalizes.
Zero shot, real unseen homes, 99% success rate.
Video
— https://nitter.net/tonyzzhao/status/2077806003308179802#m