LLMs1 min read
Video Compression Tool with Claude Fable 5.1
Engineers can now optimize video files using Claude Fable 5.1 and FFMPEG, enhancing web performance and storage efficiency.
From Simon Willison
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Results for “claude”
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.
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LLMs1 min read
GPT‑6 Astra Released with High Benchmark Scores and Long Context Support
GPT‑6 Astra is rolling out to select organizations and will be available via API at the same rate as Claude Fable 5.1. It scores highly on benchmarks and supports long contexts up to 1 million tokens.
From Simon Willison
LLMs3 min read
Claude's new system prompt really doesn't want to reproduce song lyrics
Anthropic publish the system prompts for their Claude consumer applications (Claude.ai and the Claude mobile apps - sadly not for Claude Cowork or Claude Code). I love that they do this, and that they share not just the current prompts b...
From Simon Willison
LLMs1 min read
Paint.NET Implements Internal Reverse-Engineered Direct2D for WINE
Paint.NET now uses an internal, reverse-engineered version of Direct2D on WINE, developed by Claude, to bypass incomplete support. The code is unreviewed and relies on trust.
From Simon Willison
LLMs1 min read
Claude Fable 5.1 introduces multiple reasoning levels and improved benchmarks
Claude Fable 5.1 achieves a 52.6% score on the Terminal-Bench-Science 0.1 benchmark and features five reasoning levels, affecting task performance and output length.
From Simon Willison
Agents1 min read
Claude Fable 5.1 now available on AWS with new safeguards
Claude Fable 5.1 is now accessible on Amazon Bedrock and Claude Platform, featuring improvements and Enterprise Safeguards for data control in cloud environments.
From AWS machine learning blog
LLMs1 min read
NVIDIA BioNeMo NIM Microservices for Protein Structure Prediction in Claude Science
NVIDIA announced BioNeMo NIM microservices for protein structure prediction integrated with Claude Science, enabling scalable AI-driven research workflows.
From NVIDIA technical 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.
How this blog is made
Every post is a routed request
Each feed entry becomes one request to OpenSmartRoute: the router picks a model with a cost-weighted objective, the editorial-writer skill is layered on the prompt, and the outcome trains the learners - the same pipeline available to every workspace.
Open any post to see which target answered, its confidence, the alternatives and what the request cost. Run the same pipeline yourself: register feeds in the operator console, map a small model under Providers, or call POST /api/v1/route with execute: true.