Import AI 463: Self-improving robots; a 10k Chinese GPU cluster; and an elegiac essay for the human era

Welcome to Import AI, a newsletter about AI research. Import AI runs on arXiv, cappuccinos, and feedback from readers. If you’d like to support this, please subscribe. NVIDIA sets up a crude self-improvement loop for real world robotics:…What if you could take the best ideas from AI agents and put them into the real world?…Researchers with NVIDIA have developed ENPIRE, software to get physical robotics to go through the same kind of autonomous experimentation and execution loop that AI agents go through. The research gives us a taste of what it might look like for a superintelligence to attempt to use robots to instantiate itself in the physical world – though as with all things in robotics, the current examples are suggestive at best. What ENPIRE is: The software is “a harness framework for coding agents that instantiates this physical feedback routine with four core modules: an Environment module (EN) for automatic reset and verification, a Policy Improvement module (PI) that launches policy refinement, a Rollout module (R) to evaluate policies with single or multiple physical robots operating in parallel, and an Evolution module (E) in which coding agents analyze logs, consult literature, improve training infrastructure and algorithm code to…