Jim Fan 团队开源机器人智能体框架 ASPIRE V1.0
Jim Fan 团队开源了机器人框架 ASPIRE，真实机器人能自己发现技能、自我改进，换上新模型后基准直接刷到99%，做具身智能的可以看看代码。
Jim Fan 团队宣布开源 ASPIRE V1.0，这是一个面向机器人的智能体框架，包含真实机器人技能发现和自我改进能力，附带 /robot 技能库。团队称接入后端模型 Astra 后，一夜之间将所有基准刷到约 99%。在他们的机器人仿真基准上，Opus 5.5 略优于 Astra，Sonnet 5.5 以每任务 12 美元的成本达到性价比帕累托前沿。
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 Your browser does not support the video tag. 🔗 View on Twitter 💬 25 🔄 9 ❤️ 74 👀 4605 📊 34 ⚡
