Yeah the thing about having principles is that if the principle depends on a qualitative assessment, then the principle has to be flexible as the quality that you are assessing changes. If AI was still at 2023 levels and was improving very gradually every few years like versions of Windows then I'd understand the general sentiment on here, but the rate of improvement in AI models is alarmingly fast, and assumptions about what AI "is good for" have 6-month max expiration dates.