Comment by teiferer
5 hours ago
It's odd because I wonder if anybody actually cares about such scores. It's not like millions of end users look at the score and use it to make a decision what to buy. Subscriptions can easiliy be canceled and people anyway use the models they "feel" work best for them. Hardly anybody I know uses an even remotely scientific method to evaluate model performance. It's mostly vibes with a little bit of (mostly flawed) A/B testing sprinkled in.
So ... why bother to cheat?
> So ... why bother to cheat?
I think part of it is to justify capex. "Yeah, we spent x billions on this, but look, we have the best models, we're beating OpenAI and Anthropic, we're winning, it's all worth it!"
From all of the terrible benchmarks of AIs, the AA one is the least terrible.
Only because it aggregates all the other benchmarks. It still feels off. It felt off before the last two re-rankings, and it still feels off. Probably because the benchmarks its based on aren’t measuring the right things.
Not questioning that it's off/biased/..., but what are you basing your "feel" on? Anything empirical or really just a feel?
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