Fetching from the wire…
Models2026-06-12 · source-backed
After two days hands-on, Willison describes Claude Fable 5 as exceptionally goal-oriented, that it "knows a whole lot of tricks and will deploy pretty much any of them to get to its goal." He flags the proactivity as a double-edged sword for agentic work. This is real behavioral evaluation, distinct from launch coverage, and the takeaway is to give Fable 5 tighter guardrails on open-ended tasks. A model that'll try anything to reach its goal is exactly the model you don't want in an unbounded loop. The theme of the day, again.
Each link below shares sources, entities, or timing with this story.
Anthropic shipped Fable 5 on June 9. Willison spent ~5.5 hours stress-testing it: slow and expensive, but it handled everything he threw at it, including agentic coding. (Simon Willison) The tell that it's a real working model and not a benchmark queen: because it post-dated A...
Willison's June 13 post walks through publishing WebAssembly wheels to PyPI so Python packages run client-side under Pyodide, alongside Datasette 1.0a33 adding JSON "extras" to the API (Simon Willison). He built a throwaway extras-API explorer with Claude Fable 5 to understand...
Anthropic released Claude Fable 5.1 on September 1. Claude Code v2.1.257 made it the default Fable model at 17:53 UTC that day, with a 1M-token context window, $10 per million input tokens, $50 per million output, and $0.25 per million on cache reads (claude-code CHANGELOG). B...
Willison published his AI Engineer World's Fair conversation with Anthropic's Cat Wu and Thariq Shihipar, covering Claude Code, Claude Tag, and Fable. Primary-source practitioner conversation with the people who actually build the thing, rather than secondary coverage of a pre...
On June 9, Anthropic released Claude Fable 5 and Mythos 5 across Claude.ai, Claude Code (CLI and web), and Cowork. The spec sheet: 1M-token context, 128K max output, a January 2026 knowledge cutoff, and pricing at $10 input / $50 output per million tokens. That's double Opus 4...
He handed Claude Fable 5, in Claude Code for web, the job of evaluating whether smolvm 1.8.3 could safely run untrusted Python and JavaScript under strict constraints. Verdict: it fits, with hardware-isolated VMs rather than shared-kernel containers, enforced CPU/RAM limits, g...
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