Turn model changes into useful choices: what to try, how to use it, and where it falls short.
Topic editions via RSS ↗Anthropic
@AnthropicAIWe’ve committed to having evaluators assess our safety practices. We're in discussions with multiple organizations, and have now given employee-like access to a team from @METR_Evals. In this post, we describe how we work with third-party evaluators: https://t.co/8CLQnMVg4X
Simon Willison
@simonw"Anthropic told investors on Wednesday distillation accounted for 5 per cent to 7 per cent of revenue" If true, and Q2 revenue was $11.5B, then that's more than half a billion dollars spent by other labs to distill Anthropic's models! https://t.co/szd2oJxtrv https://t.co/MfcztRwOnV
OpenAI
@OpenAIWe want to support the mathematics community in turning progress in AI into deeper human understanding and new discoveries. To support that goal, we are contributing $5 million to a new Simons Foundation initiative to help mathematicians examine, understand, and build on results produced by AI, including the results we recently published. The funding, managed and awarded by the @SimonsFdn will support workshops, conferences, and special programs. We will also provide access to our models and computing resources to Simons Foundation-supported researchers.
Anthropic
@AnthropicAIWorking out how best to use AI in mathematics research—and in science more generally—will take time, effort, and resources. We’re eager to support mathematicians as they drive scientific progress and define the future of their field. We’ve committed $5 million of funding, compute, and Claude access to help the math community navigate the massive changes that AI brings. We’re partnering with @SimonsFdn, who will manage the award through a community-driven approach, supporting workshops, conferences, and lectures by domain experts. https://t.co/GzFchwMukC
OpenAI
@OpenAIWe're expanding access to GPT-Rosalind for academic research. The new Rosalind Academic Plan helps scientific labs bring AI into the work of understanding biology, exploring ideas, and deciding what to test next—with sponsored access for eligible labs at U.S. universities. Academic research starts with questions whose impact may take years to impact human health.
AI at Meta
@AIatMetaWe’re proud to share that Meta Omnilingual Automatic Speech Recognition (ASR) has been named one of @TIME’s Best Inventions of 2026! Meta Omnilingual ASR is a suite of models providing ASR capabilities for over 1,600 languages, including 500 low-coverage languages never before served by any ASR system. While most ASR systems focus on a limited set of languages that are well-represented on the internet, this release marked a major step toward building a truly universal transcription system. Learn more about it here: https://t.co/PPdTp8RIKt
AI at Meta
@AIatMetaTo help make advanced models more accessible, Muse Spark Open is optimized to run on two Apple M5 Ultra Mac Studios with the latest MLX framework. It also runs on leading inference engines like SGLang, vLLM, TensorRT-LLM, Hugging Face Transformers, llama.cpp, and Unsloth with optimizations for AMD, Apple, Intel, and NVIDIA silicon. Developers can further customize the model with PyTorch, including TorchTitan for fine-tuning.
Google DeepMind
@GoogleDeepMindSynthID has been named one of @TIME's Best Inventions of 2026. With over 180 billion images and videos already watermarked, it’s making it easier for people to distinguish AI-generated content from other media → https://t.co/ClIEdQLgV1 https://t.co/STbjqj9iUu
AI at Meta
@AIatMetaMuse Spark Open is available today through API platforms at Baseten, Fireworks AI, Groq, Modal, Nebius, OpenRouter and Together AI. Download the weights on Amazon SageMaker AI, Google Cloud Model Garden, Hugging Face, and Microsoft Foundry Models. Weights are released under the Muse Model License, with limited commercial terms that let many developers use the model for free. Learn more on our research blog: https://t.co/yaLc4g4t4c Download the weights: https://t.co/GULPEtWtfc
Codio
@0xCodiohttps://t.co/L1qqCuhjV5
Mistral AI
@MistralAIDesigned to support multiple tasks: - reconstructing particle collisions - identifying particles - flagging unexpected signals - evaluating future detector designs
Google AI
@GoogleAISee a fully-explorable 3D world build itself in minutes ⛩️ Watch @GoogleDeepMind's @GeokenAI explain how Gemini 4 Argon acts as a virtual builder in @antigravity to autonomously create a stunning, multi-tiered pagoda sanctuary. https://t.co/J5ImtMfpbj
OpenAI
@OpenAIGPT-Rosalind is built to support that work: helping researchers reason across scientific literature and biological data, with scientists bringing the expertise and judgment to evaluate the evidence. Eligible labs can receive up to 12 months of sponsored access to OpenAI tools, with GPT-Rosalind access subject to trusted-access approval. Research data shared through the Rosalind Academic Plan is not used to train our models by default.
OpenAI
@OpenAILearn about the Rosalind Academic Plan, check your lab's eligibility, and find out how to apply: https://t.co/xw86gMoj5C
Mistral AI
@MistralAIWelcome to Mistral, New Material. Let’s bring design to mission-critical AI.
Anthropic
@AnthropicAIWe’ve opened an office in Singapore—our fifth in the Asia-Pacific region. We’ve also signed an MOU with the Government of Singapore on AI safety and responsible adoption. You can read more about our new office here: https://t.co/125mBgHLkM
Google DeepMind
@GoogleDeepMindGemini 4 Argon is already unlocking new scientific breakthroughs in quantum computing, nuclear fusion, protein design and beyond. 🧵
Qwen
@Alibaba_QwenCongrats to @lightseekorg on the impressive TokenSpeed results! 🚀 Great to see Qwen3.8-Flash-Next reaching 685 output tokens/s per user on Nvida GPUs. Excited to see the community unlock more of Qwen’s inference potential!
OpenAI
@OpenAIEuropean businesses are rapidly expanding their use of AI agents. More than half of the AI use among our EU enterprise and business customers now involves these tools, and the number of small business users has grown 8x across the region. Our latest Economic Research report explores Europe’s shift toward agentic AI—and the opportunity to turn broader adoption into deeper use. https://t.co/jUjCF5sW0B
AI at Meta
@AIatMetaWe’re exploring how AI can accelerate health science research. While AI has made significant breakthroughs in formal sciences like mathematics, health data science depends on imperfect real-world data and consequential choices about cohorts, variables, and causal assumptions. To explore how AI can assist health researchers, we built a human-led research scaffold powered by Muse Spark 1.3 and Muse Wonder with access to 5M retrospective de-identified electronic health records and publicly available data. A cohort of medical experts used the system to conduct original research, accelerate hypothesis generation, code execution, and manuscript drafting while maintaining full authority over scientific decisions. Today, we’re sharing 10 research manuscripts produced through this exploration, spanning cardiology, oncology, infectious disease, emergency medicine, and more. Read more in our research blog: https://t.co/26l6Du6vIk
