Cursor shipped Cursor Router, which now powers Auto mode by classifying each request by task type and complexity and routing it to a frontier model or a price-efficient one.

Users pick an optimization target — Intelligence, Balance or Cost — and admins can enable the router per team or group, restrict which modes members use, set the default mode, and allow or block underlying models, with soft or hard enforcement for standardizing on Auto. The router is available across desktop, web, iOS, CLI and Cursor's SDK, is on by default for Teams plans, and requires Grok 4.5 as a price-efficient routing option.

Google introduced Gemini 3.6 Flash, 3.5 Flash-Lite and 3.5 Flash Cyber, aimed squarely at production agent workloads: 3.6 Flash cuts output token usage by 17% versus 3.5 Flash on the Artificial Analysis Index, and up to 65% on Datacurve's DeepSWE, at a lower cost per output token, while 3.5 Flash-Lite is pitched as the fastest, cheapest 3.5-class model.

3.5 Flash Cyber ships paired with the CodeMender code-security agent. Google also said Gemini 3.5 Pro is still testing with partners and that it has started our most ambitious pre-training run yet, for Gemini 4.

Poolside released Laguna S 2.1, a 118B total and 8B activated MoE model with up to a 1M-token context in thinking and no-thinking modes, under the OpenMDW-1.1 open license and small enough to run on a single desktop.

It scores 70.2% on Terminal-Bench 2.1 in Poolside's own harness and is pitched as the most capable agentic coding model in its weight class, holding its own against models several times larger. Poolside says it went from the start of training to launch in under nine weeks and is publishing full trajectories for every benchmark trial it reports.

Microsoft said Azure will add AMD's Helios AI platform and next-generation EPYC datacenter processors to its fleet, powering three upcoming offerings: HDv2 VMs for AI data systems and agentic workloads, HXv2 VMs for electronic design automation and technical computing, and ND MI455X v7 VMs for production-scale AI inference.

The move expands Microsoft's heterogeneous, multi-silicon strategy for inference and gives AMD its largest rack-scale design win yet in its push against Nvidia.

US District Judge Araceli Martinez-Olguin granted final approval to Anthropic's $1.5 billion class-action settlement with authors who said the company trained Claude on pirated books, calling it meaningful relief for affected authors and publishers.

The deal covers more than 482,000 titles at roughly $3,000 per work, with about 91% already claimed by authors or publishers; the judge cut the requested attorney fee by $86 million, leaving $122 million for plaintiff counsel. It is the largest known copyright recovery in US history and the first major AI-training copyright case to reach full resolution, with parallel author suits against OpenAI and Meta still pending.