🚀 RELEASES & LAUNCHES
ChatGPT's Chrome extension can now view your open browser tabs
OpenAI updated its ChatGPT Chrome extension so ChatGPT can see and work across the browser tabs you already have open.- For ChatGPT users on the web and desktop app who install the Chrome extension
- ChatGPT can now view open Chrome tabs when you tag Chrome in a chat, letting it work across existing tabs, signed-in sessions, and Chrome extensions
- OpenAI's help docs say to use the extension when a task needs your existing Chrome profile or open tabs, and to review the active account before allowing access
- The built-in desktop browser (macOS and Windows) uses its own browser state, separate from your Chrome profile
- It matters because ChatGPT can now act on your real browsing context — organizing shopping across tabs, summarizing pages — rather than only pasted links
IBM releases Granite Switch 4.1: modular LLMs with on-demand adapters in one endpoint
IBM released Granite Switch 4.1, modular models that embed switchable adapters for chat, decisions, and speech-to-text in a single checkpoint.- Aimed at enterprise and local developers building RAG, safety, and decision workflows on small open models.
- Available in 3B, 8B, and 30B sizes built on Granite 4.1 base models with 128K context, under Apache 2.0.
- Adapters (aLoRAs) from granitelib-core, RAG, and Guardian libraries activate on demand via control tokens; the 8B preview ships 12 adapters, and the 30B adds a decision adapter plus embedded 470M speech-to-text.
- KV cache normalization lets adapters share one cache, so one deployment serves many capabilities with no memory or latency overhead; aLoRA hit 74% KV cache hit rate vs 29% for standard LoRA in IBM's benchmark.
- Adapter-equipped models can beat larger generalists on targeted tasks — Granite 4.1 3B's requirement-check accuracy jumps from 51% to 84% on IFEval — deployable via vLLM, Transformers, Ollama, and Mellea.
Sources 📄 Source: research.ibm.com · 📎 Coverage: huggingface.co · 👁 via Hugging Face Blog, r/LocalLLaMAOpenAI launches Rosalind Academic Plan with sponsored GPT-Rosalind access for academic labs
OpenAI introduced the Rosalind Academic Plan, offering eligible academic labs sponsored access to its GPT-Rosalind life sciences model and research tools.- Aimed at academic researchers and labs in biology, drug discovery, and translational medicine.
- The plan provides sponsored access to GPT-Rosalind, OpenAI's frontier reasoning model for life sciences, plus tools for life sciences discovery; access requires an eligibility request.
- GPT-Rosalind supports evidence synthesis, hypothesis generation, experimental planning, and multi-step workflows, and is available via ChatGPT, Codex, and the API under a trusted-access program.
- The broader Rosalind offering includes Rosalind Workbench, a free Life Sciences research plugin for Codex connecting over 50 scientific tools and data sources, and partners including Amgen, Moderna, Novo Nordisk, Thermo Fisher Scientific, and the Allen Institute.
- It lowers the cost barrier for academic labs to use specialized AI in early-stage discovery, extending OpenAI's life sciences push beyond enterprise customers.
PrismML releases Ternary Bonsai 2 small family: 2B, 4B, and 9B on Hugging Face
PrismML released Ternary Bonsai 2 small models (2B, 4B, 9B) on Hugging Face.- Aimed at local/on-device users: the 2B runs fully in-browser via WebGPU at up to 500 tok/s on an M4 Max, and iOS testing works today via the LocallyAI app.
- The family is based on Qwen 3.5, uses ternary weights, and supports dFlash, MTP, and MLX for extra throughput.
- Initially required PrismML's llama.cpp fork (branch 'prism'); community confirmed it also works with vanilla llama.cpp.
- Weights are on the Hugging Face 'bonsai-2-small' collection with a WebGPU demo Space (ternary-bonsai-2-hermes-webgpu).
- Matters for local-AI builders seeking small models that could outperform Qwen 3.5 0.8B/1.7B at low memory, with possible AnythingLLM Mobile support via llama.rn.
Anthropic grants METR employee-level access to independently assess its models and safety
Anthropic has given six METR researchers employee-like access to independently evaluate its models, safety practices, and risk management.- Six METR employees onboarded with company hardware, office space, and internal access on par with Anthropic's own risk assessment teams.
- METR can publish its assessments of Anthropic's risks, incidents, and practices without veto; Anthropic can only require redaction of narrow categories like customer data, privileged info, and model architectures.
- The initial agreement runs for eight weeks, with METR free to take longer for a thorough investigation.
- METR is the only evaluator at the top of Anthropic's new three-tier evaluator system; SecureBio is tier one and Accenture and Faculty partnerships are in progress, with early talks including Hugging Face.
- The move follows a September commitment by Dario Amodei and a White House accord signed by major AI companies to accept independent external evaluation.
🔬 RESEARCH
- 📄 Source for Bluesky's Attie AI now vibe-codes small social apps and games to share — techcrunch.com