Comment by softwaredoug
20 hours ago
It’s just hard to make them not part of the training data. We see this a bit with BrowseComp plus and other deep research datasets. Not because frontier labs are trying to cheat, but just from training on the full web.
You need new datasets perpetually.
That’s true. it also depends heavily on the type of task, not everything is equally represented on the web today and it remains to be seen if this is going to change or not.
Or hidden benchmarks, though it's then harder to get people to trust the results.
How do you hide them if you aren't self hosting the model?
The trust issue might be solved by having standardisation bodies created, similar to W3C or even TPC, although TPC didn’t end that well.