Walks are magical. But also this reads partially like you got sent to a reeducation camp lol.

> This probably means my test is a little too niche.

> my python one needs to be down weighted or supplanted.

To me, this just proves your original statement. You can't know if an AI can do your specific task based on benchmarks. They are relatively meaningless. You must just try.

I have AI fail spectacularly, often, because I'm in a niche field. To me, in the context of AI, "niche" is "most of the code for this is proprietary/not in public repos, so statistically sparse".

I definitely agree on the importance of personalized benchmarks for really feeling when, where and how much progress is occurring. The standard benchmarks are important, but it’s hard to really feel what a 5% improvement in X exam means beyond hype. I have a few projects across domains that I’ve been working on since ChatGPT 3 launched and I quickly give them a try on each new model release. Despite popular opinion, I could really tell a huge difference between GPT 4 and 5 , but nothing compared to the current delta between 5.1 and Gemini 3 Pro…

TLDR; I don’t think personal benchmarks should replace the official ones of course, but I think the former are invaluable for building your intuition about the rate of AI progress beyond hype.