i find this “slow” complaint (/observation— i dont view this comment as a complaint, to be clear) to be quite confusing. slow… compared to what, exactly? you know what is slow? having to prompt and reprompt 15 times to get the stupid model to spell a word correctly and it not only refuses, but is also insistent that it has corrected the error this time. and afaict this is the exact kind of issue this change should address substantially.
im not going to get super hyperbolic and histrionic about “entitlement” and stuff like that, but… literally this technology did not exist until like two years ago, and yet i hear this all the time. “oh this codegen is pretty accurate but it’s slow”, “oh this model is faster and cheaper (oh yeah by the way the results are bad, but hey it’s the cheapest so it’s better)”. like, are we collectively forgetting that the whole point of any of this is correctness and accuracy? am i off-base here?
the value to me of a demonstrably wrong chat completion is essentially zero, and the value of a correct one that anticipates things i hadn’t considered myself is nearly infinite. or, at least, worth much, much more than they are charging, and even _could_ reasonably charge. it’s like people collectively grouse about low quality ai-generated junk out of one side of their mouths, and then complain about how expensive the slop is out of the other side.
hand this tech to someone from 2020 and i guarantee you the last thing you’d hear is that it’s too slow. and how could it be? yeah, everyone should find the best deals / price-value frontier tradeoff for their use case, but, like… what? we are all collectively devaluing that which we lament is being devalued by ai by setting such low standards: ourselves. the crazy thing is that the quickly-generated slop is so bad as to be practically useless, and yet it serves as the basis of comparison for… anything at all. it feels like that “web-scale /dev/null” meme all over again, but for all of human cognition.