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
- LLM predictions for 2026, shared with Oxide and Friends - 8th January 2026
- Introducing gisthost.github.io - 1st January 2026
- 2025: The year in LLMs - 31st December 2025