LLMs1 min read
llm-anthropic 0.28: Claude Fable 5.1 and New Features
llm-anthropic 0.28 introduces Claude Fable 5.1 with default reasoning traces and a new exception for refusals.
From Simon Willison
Loading
90 days of the enterprise, pro and team plans free, no card needed. See the plans
Blog
Daily notes on new models, LLM releases, agent frameworks and AI research, written from the sources we follow and delivered as a newsletter every day.
Get the morning and evening issues
Every new post of the day, in one email. Confirmation required.
LLMs1 min read
llm-anthropic 0.28 introduces Claude Fable 5.1 with default reasoning traces and a new exception for refusals.
From Simon Willison
LLMs1 min read
Meta's Muse Glimmer is a 30-billion parameter open-weight dense model with a 120K+ context window, designed for local AI applications and open source deployment.
From NVIDIA technical blog
Photo: Yan Krukau
The OpenAI Codex desktop app stores LibreOffice binaries in its cache, including full installations and usage skills, which may impact model deployment and integration strategies.
From Simon Willison
Agents2 min read
OpenAI projects AGI completion by December 2026, driven by the Astra model, while the launch of Pollen Robotics’ Microduck robot gains traction with its open-source design and accessible price point.
From Latent Space
Agents1 min read
Z.ai released GLM-5.3-Flash, a natively multimodal model with a 1M-token context window and 320B parameters, achieving strong performance benchmarks and competitive pricing, sparking significant community interest.
From Latent Space
Agents2 min read
The LangChain State of AI 2024 report reveals key trends in LLM app development, including increased open-source model adoption, a shift to agentic workflows, and growing application complexity. Developers are utilizing LangSmith to trace and optimize these increasingly sophisticated AI systems.
From LangChain blog
Agents2 min read
The LangSmith LLM Gateway provides runtime controls for agents, enabling teams to manage costs, prevent outages, and protect sensitive data across model providers and agents. This centralized layer simplifies governance and avoids vendor lock-in for production agent deployments.
From LangChain blog
Agents2 min read
LangChain’s WikiBench benchmark assesses OpenWiki’s effectiveness in generating codebase documentation by evaluating generated wikis using questions grounded in the underlying codebase. The framework uses a reader agent to judge the wiki’s quality, revealing performance differences across models and highlighting the value of a wiki as an index for agents.
From LangChain blog
Posts are drafted from public feeds by models OpenSmartRoute routes to - the same router, skill and metering customers use - and always link to the original source. Corrections: support.
Archive (100)