14th April 2023
One way to avoid unspotted prediction errors is for the technology in its current state to have early and frequent contact with reality as it is iteratively developed, tested, deployed, and all the while improved. And there are creative ideas people don’t often discuss which can improve the safety landscape in surprising ways — for example, it’s easy to create a continuum of incrementally-better AIs (such as by deploying subsequent checkpoints of a given training run), which presents a safety opportunity very unlike our historical approach of infrequent major model upgrades.
Recent articles
- 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
- OpenAI’s accidental cyberattack against Hugging Face is science fiction that happened - 22nd July 2026