14th December 2024
An LLM knows every work of Shakespeare but can’t say which it read first. In this material sense a model hasn’t read at all.
To read is to think. Only at inference is there space for serendipitous inspiration, which is why LLMs have so little of it to show for all they’ve seen.
Recent articles
- One-shotting a Raccoon Heist game using Claude Fable 5 - 5th August 2026
- New release of LLM adds support for reasoning traces, OpenAI Responses, server-side tools, and smarter logging - 4th August 2026
- Stateless MCP has recaptured my interest (and inspired mcp-explorer and datasette-mcp) - 31st July 2026