That's AI for you.
At Amazon we have many forums to share our AI wins, but none to share AI failures or disappoinments.
No wonder execs make bad decisions regarding AI, they only hear completely one-sided stories.
I definitely make use of AI but in my experience I almost always could have done it better myself, the places where I threw AI at the problem I didn't care about the results being good, only good enough.
When we see memory and compute requirements for version x+1 of software decrease instead of increase I will happily say AI is the oracle people proclaim it to be.
Saying “never used it” or “I tried and it was useless” was literally not possible.
I come to HN to read about AI failures and disappointments.
If you were the CEO of Amazon, would you be setting up channels for people to talk about their AI failures? The general way technology is deployed is that we try to find ways to make it work, because those are the most interesting. We're not as interested in all the ways it doesn't work.
From my perspective, some people are trying to use AI in the same way somebody might use a laptop to paddle a canoe. Sure, you can do it, but it's not a good idea. The fact that it doesn't work well is not particularly interesting.
If I steelman your position, I guess the ideal repository would be a set of cases where it's known to work well and a set of cases where it's known to not work well. A little bit like ProtonDB or SteamDB, perhaps.
I would set up channels to talk about AI, encouraging both successes and failures, with proofs required for both, and punishing people who intentionally misreport on either.
That's not the way AI is being deployed. At all.