Comment by dooglius
18 hours ago
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.
18 hours ago
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.
> "this is a benchmark" is such an easy category to determine
I mean, it's not _that_ hard to determine most likely, and/or it's hard to be sure you didn't get found out by llm-assisted analysis on your traffic. It's not going to be a one-shot request and response it's going to be a whole bunch of them in an artificial way, by nature.
And then anything you found is single-use only if you're paranoid because even if they find out later, they have your benchmark now (because you sent it to them to use it even if you don't publish it).