Comment by simlevesque
21 hours ago
We can't have hard evidence. It's a SaaS and they own the code and the machine it runs on.
So it may be a widespread hallucination. But there's no evidence of that either.
21 hours ago
We can't have hard evidence. It's a SaaS and they own the code and the machine it runs on.
So it may be a widespread hallucination. But there's no evidence of that either.
Run a benchmark with a large number of samples, rerun a few days later. Compare results, use statistics to see if there's a statistically significant difference.
Doing this in a way that doesn't get you noticed or fucked with is potentially going to be quite difficult.
If they have a "hey we're being benchmarked" mode, which is not hard to imagine, avoiding tripping it is going to be annoying and difficult to prove.
You would want to use your own benchmark, certainly, not something publicly known. But outside of that I don't think "this is a benchmark" is such an easy category to determine -- a benchmark should be similar to a typical scenario anyway.
1 reply →
We could still have soft evidence though. Make a Todo app on Monday, and make a Todo app on Tuesday, and see what it makes in comparison.
You would need a significant sample size to make any sort of conclusion from such a probabilistic process. Then there's the issue of how you would actually grade/compare.
someone already does that https://aistupidlevel.info/
It's actually a extremely cool site, and fascinating to view the results off the AI bots i use.
You only need to come up with a catchy "SomethingBench" name, post it on reddit/x and now you're an ai sage. Not to disparage the launch/after comparison though, I'd genuinely enjoy a data point like that