13th November 2023
Two things in AI may need regulation: reckless deployment of certain potentially harmful AI applications (same as any software really), and monopolistic behavior on the part of certain LLM providers. The technology itself doesn't need regulation anymore than databases or transistors. [...] Putting size/compute caps on deep learning models is akin to putting size caps on databases or transistor count caps on electronics. It's pointless and it won't age well.
Recent articles
- Meta's new model is Muse Spark, and meta.ai chat has some interesting tools - 8th April 2026
- Anthropic's Project Glasswing - restricting Claude Mythos to security researchers - sounds necessary to me - 7th April 2026
- The Axios supply chain attack used individually targeted social engineering - 3rd April 2026