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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

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.

fragmede 24d ago
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.
- marcus_cemes 24d ago
  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.
- ArvidSu 24d ago
  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
- luckydata 24d ago
  someone already does that https://aistupidlevel.info/ https://aistupidlevel.info/
  - chaimtweiss 24d ago
    It's actually a extremely cool site, and fascinating to view the results off the AI bots i use.
dooglius 24d 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.
- kadoban 24d ago
  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.
  - dooglius 24d ago
    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.
    - kadoban 24d ago
      > "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).

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.

fragmede 24d ago

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.

marcus_cemes 24d ago
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.
ArvidSu 24d ago
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
luckydata 24d ago
someone already does that https://aistupidlevel.info/ https://aistupidlevel.info/
- chaimtweiss 24d ago
  It's actually a extremely cool site, and fascinating to view the results off the AI bots i use.

dooglius 24d 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.

kadoban 24d ago
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.
- dooglius 24d ago
  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.
  - kadoban 24d ago
    > "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).