On this day: Sep 1

The competitive axis for frontier models shifts from coding to autonomous scientific research. Tiered deployment that opens the top model only to screened users has hardened into a product line, and the fact that the pri

Instead of feeding in a long video whole, the model explores it on its own — multimodal input is folded into the agent loop

The first case of the top tier of a company's own risk framework actually being triggered. A reference point for checking whether declarative thresholds lead to concrete measures such as deployment delays and access rest

A case of a frontier lab publishing biosecurity refusal rates in numbers and naming an external evaluator — though it is the company's own post, and there is no independent replication

A design answer to the point where demands for data sovereignty clashed with misuse monitoring. If a structure that makes safety monitoring work outside the vendor's servers becomes standard, the barrier to adopting fron

A study that judges, at the level of scaling laws, whether depth reuse (looping) still pays off once budgets are strictly matched. In the authors' own reporting, it saves 6.8–18.0% of training FLOPs at the compute-optima

A stage at which general-purpose chatbots connect directly to regulated medical record systems. The front line of context connection (RAG, connectors) has moved from the public web into regulated data, while the safety e

A strand that, instead of P/D disaggregation, which requires separate device pools and KV-cache transfers, overlaps P and D on the same devices by isolating only collective-communication order and state while sharing wei

A case of attacking, under an open license, the point that the bottleneck of on-device inference is kernel implementation rather than models. Per the company's report, it is 2.57 times faster than ORT WebGPU by geometric

The paper that solved the fixed-length vector bottleneck with attention. The direct predecessor of the Transformer's self-attention