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
- Generating running routes with GPT-6 Astra and ChatGPT Work - 12th September 2026
- OpenAI agents attacked RubyGems back in May - 12th September 2026
- Some thoughts on the Navier–Stokes Millennium Prize Problem - 8th September 2026