This week's most-upvoted HF papers cluster around embodied AI
Four of the top Hugging Face daily papers this week are embodied and robotics-flavoured: Xiaomi-Robotics-1 (vision-language-action at scale), RynnBrain, HOMIE, and Apple-π. If you track where research attention is moving, it's toward physical-world grounding, not just chat.
Paper: coder LLMs may already "know" what context to prune
A new paper (SWE-Pruner Pro) proposes that coding-focused LLMs already carry enough internal signal to identify which parts of a large context window are safe to prune, rather than needing a separate pruning model. Early-stage research, not yet something to build on, but worth watching given how much agentic-coding…