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Today's topics:
Meta and Microsoft curb Claude - Meta and Microsoft are reportedly reducing internal use of Anthropic's Claude Code, steering developers to GitHub Copilot, OpenAI tools, MetaCode and Muse Code to control AI costs and reliance on a competitor.
Claude arrives in Google Workspace - Anthropic launched a Google Workspace add-on and beta connectors that let Claude edit Google Docs, Sheets and Slides directly, pushing AI deeper into office productivity workflows.
DeepSeek narrows US-China gap - DeepSeek V4.1 Flash cut the reported US-China AI gap to 3% on LiveBench and topped Anthropic in agentic coding, while DeepSeek nears a funding round of about $12 billion backed by Tencent and CATL ahead of a possible IPO.
Mistral Large 4 open-weight preview - Mistral previewed Mistral Large 4, a trillion-parameter open-weight multimodal model trained in European datacenters, with strong coding, agentic and cybersecurity results and a focus on AI sovereignty.
Google's Nano Banana and EmbeddingGemma - Google DeepMind released Nano Banana 2.1 for high-precision image editing and text-heavy graphics, plus EmbeddingGemma 2, an open on-device multimodal embedding model for private search and RAG.
OpenAI Decisions API public beta - OpenAI's Decisions API, powered by GPT-6 Luna, entered public beta for fast classification, routing and scoring, with developers debating calibration, image moderation use cases and missing caching.
Personal agents: Sierra and Hark - Sierra and Meta proposed the Personal Agent Protocol, an OAuth-based open standard for AI agents working with businesses, while Hark launched Hark Pro, an agent that shops and pays bills ahead of its hardware.
Cyber access and open-weight debate - Anthropic expanded its Cyber Verification Program for security professionals, Nathan Lambert criticized framing of open-weight model cyber risks, and researchers outlined faster emergency patching methods like hotpatching.
AI-generated math and Lean proofs - OpenAI published new AI-generated mathematical results with Lean formal proofs after consulting the Institute for Advanced Study, as a separate project fully verified the 11-square packing optimality proof in Lean.
Robotics training data at scale - Pantheon scaled a diverse UMI robotics manipulation dataset to over a million tasks using VLM annotation, while HUMXN offers free home repairs in exchange for wearable-captured skilled-trade training data.
NVIDIA AICR GPU cluster recipes - NVIDIA released AICR v1.0, an open framework of version-locked, verifiable recipes for Kubernetes GPU cluster configurations with signed validation evidence.
