"We have the suspicion that the next step for AI models is to start reaching out into the world and affecting the world more broadly,"
"This will really require models to interface more with robots."
"models eventually self-embodying,"
Project Fetch evaluated how a large language model, Claude, could automate programming and control of a robot dog. Two teams without prior robotics experience used Claude to generate code, debug firmware, integrate sensors, and issue real-time commands. Claude automated task planning, code assembly, and portions of system integration, reducing manual effort and accelerating deployment. The results demonstrate that modern LLMs can perform agentic coding tasks and bridge software control to physical hardware. Future models that improve coding and software interaction could enable deeper robot manipulation and raise safety, governance, and embodiment concerns.
Read at WIRED
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