Claw-Anything: Benchmarking Always-On Personal Assistants with Broader Access to User's Digital World 事件

Claw-Anything: Benchmarking Always-On Personal Assistants with Broader Access to User's Digital World arXiv:2605.26086v1 Announce Type: new Abstract: Large language model agents are increasingly envisioned as always-on personal assistants with access to anything relevant in the user's digital world. Yet current systems operate over only narrow slices of that world, limiting context-sensitive reasoning and effective assistance. Existing benchmarks similarly provide only partial user state and th