Launches, versions, availability, prices and changes to artificial intelligence APIs.
104 articles
An analysis of 22 benchmarks distinguishes the reliability of comparing deployed systems from that of attributing differences to their underlying models. Its findings suggest that adding tasks does not resolve every kind of uncertainty.
Code to Control separates the generation of a controller’s structure from the tuning of its parameters. The preprint says that, once learned, the controller can act without LLM inference or planning at every step; the available evidence is not enough to assess the figures, reproducibility, or readiness for real-world robots.
The company has opened U.S. waitlists for an agent integrated with Apple Messages and for an API for bulk orders. Key details remain unclear, including payment confirmation, participating restaurants and how conversations will be handled.
One source reports an announcement for India, but the documentation provided does not confirm which models, dates, or configurations are available there, or verify an equivalent expansion to South Korea and Singapore.
Several outlets attribute security problems in GPT‑6.1 Astra to internal tests. However, the available information includes no public test results or direct confirmation from OpenAI, and the cited official pages refer to GPT‑6 Astra.
A comparison of three models on tasks based on Adult, COMPAS, and Credit reports that reasoning resolved some counterfactual flips but created others more often. The result does not show that all models or uses produce the same effect.
The preprint introduces an evolutionary search method that modifies existing evaluation cases. Across three benchmarks and three Qwen3.5 model scales, its authors report an average accuracy reduction of 22.7%, though the abstract does not provide enough detail to audit the calculation or determine how closely the generated cases represent real-world situations.
At Apsara, Alibaba introduced the Zhenwu V900, described Qwen 4 as being in training, and previewed larger future models. The chip’s commercialization timeline and performance comparison are company announcements, not independent results.
A report from Google, Google DeepMind, and MIT FutureTech combines Gemini interactions, an inventory of specialized models, and a survey of scientists. Its findings offer clues about AI use, but the nearly seven hours a week respondents say they save is not an objective measure of productivity.
The D.C. Circuit upheld a Pentagon measure against Anthropic. The decision does not, by itself, amount to a general ban on Claude or establish that all of the company’s government contracts are affected.
A theoretical and computational study suggests that an agent can influence what a debate overseer learns by selecting and ordering true arguments. The result is a proof of concept, not a demonstration involving deployed models or human overseers.
The preprint brings together resolved events and dated news to evaluate agents at different points in history. Its abstract reports that research tools improve scores across 12 models, although every model still trails historical market forecasts.