3 龙虾机器人 openclaw 爆火
据了解，宝马此举也借鉴了美国斯帕坦堡工厂的成功经验——当地试点的人形机器人，曾在10个月内支撑3万辆宝马X3的生产，每周一至周五每天工作十小时。完成9万次零部件精准搬运，持续运行1250小时。
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AI systems, locked in their data-worlds of text or simulated 3D environments, never even come close to this implicit knowledge. Not yet, at least.
Regardless, we now have:
The performance characteristics are attractive with incredibly fast cold starts and minimal memory overhead. But the practical limitation is language support. You cannot run arbitrary Python scripts in WASM today without compiling the Python interpreter itself to WASM along with all its C extensions. For sandboxing arbitrary code in arbitrary languages, WASM is not yet viable. For sandboxing code you control the toolchain for, it is excellent. I am, however, quite curious if there is a future for WASM in general-purpose sandboxing. Browsers have spent decades solving a similar problem of executing untrusted code safely, and porting those architectural learnings to backend infrastructure feels like a natural evolution.