Jim Fan 宣布开源智能体机器人框架 ASPIRE V1.0,具备完整的真实机器人技能发现与自改进能力。切换到 Astra 作为后端模型后,实验室在各项评测中的表现一夜之间饱和至约 99%;同时,Opus 5.5 在机器人仿真评测中略胜 Astra,Sonnet 5.5 的成本与机器人能力帕累托前沿达到每任务 12 美元。
作者开源了具身智能机器人框架 ASPIRE V1.0 并公布了其实机技能发现与自改进能力,读者可以据此了解其在各大评测中的表现。
We are open-sourcing V1.0 of our agentic robotics framework, ASPIRE, with full real robot skill discovery and self improvement capabilities! On the day Astra arrived, our lab switched the backend model and saturated all the benchmarks to ~99% over night. And the frontier is already on the move: - Opus 5.5 slightly edges out Astra on our robot simulation bench. - Sonnet 5.5 hits the Pareto frontier of cost vs. robot capability, $12/task. We first introduced ASPIRE and /robot skill library in June, way before the big models could reliably do robotics. A rising frontier tide lifts all boats, but Astra was a 0->1 tsunami on many tasks. Now you can also feel the Physical Bitter Lesson at home like we did on that fateful day ;) links in thread
来源:Jim Fan · x.com