from Diary 2024-03-30 Trade-off between ease of use and cleverness of AI
- Things that are hard to use tend to be smart. It is human policy constraints that create the difficulty of use. - There are players with and without policy constraints, and the more constrained means are used because they are better. Sometimes, as a result of optimization within the constraints, a lesser performing one is chosen, but sometimes it is sufficient. - There are paid-for barriers, external cloud service use policy barriers, border barriers, and risk avoidance barriers. - When policy constraints result in poor performance using inferior systems, there can be a perception gap between the technology side and the demand side. - It would be a good idea to aim to lift policy constraints by avoiding them, achieving high performance, and visualizing the possibilities in the absence of constraints.This page is auto-translated from /nishio/AIの使いやすさと賢さのトレードオフ using DeepL. If you looks something interesting but the auto-translated English is not good enough to understand it, feel free to let me know at @nishio_en. I’m very happy to spread my thought to non-Japanese readers.