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
- Porting the Moebius 0.2B image inpainting model to run in the browser with Claude Code - 22nd June 2026
- sqlite-utils 4.0rc1 adds migrations and nested transactions - 21st June 2026
- Datasette Apps: Host custom HTML applications inside Datasette - 18th June 2026