5th May 2025
[On using generative AI for work despite the risk of errors:]
- AI is helpful despite being error-prone if it is faster to verify the output than it is to do the work yourself. For example, if you're using it to find a product that matches a given set of specifications, verification may be a lot faster than search.
- There are many uses where errors don't matter, like using it to enhance creativity by suggesting or critiquing ideas.
- At a meta level, if you use AI without a plan and simply turn to AI tools when you feel like it, then you're unlikely to be able to think through risks and mitigations. It is better to identify concrete ways to integrate AI into your workflows, with known benefits and risks, that you can employ repeatedly.
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