A preprint from Salesforce and UIUC shows that a strong model can construct inference-time "harnesses" — structural scaffolds applied to a weaker model at test time — that nearly double Theory-of-Mind accuracy from 0.49 to 0.91 without any fine-tuning. The mechanism isn't more reasoning; it's converting unstable reasoning into deterministic code, routing, and format enforcement.
Anthropic disclosed to the US Senate that operators affiliated with Alibaba ran 28.8 million exchanges against Claude through 25,000 fraudulent accounts over six weeks — the largest known distillation attack against Anthropic. The numbers are real; the framing is lobbying.
Cactus Compute released Needle, a 26M-parameter MIT-licensed model for on-device function calling that strips out all feed-forward networks from the transformer. The architectural choice is a thesis: tool calling is retrieval-and-routing, not reasoning, and attention is the right primitive for it. The numbers are striking — 6000 tok/s prefill on consumer hardware — even if the playground has rough edges.