I think it probably is still cheaper, the expensive part is development. AI companies right now are basically in a race to make useful AI before the VC funding runs out. The big developments will probably be slow and steady university research, as always
I mean the issue here is that it's regressing so there's two things that may be happening here:
(My guess) is that they're pruning the model to be more lean, which definitely does imply that it's expensive to run
New data being added to the model is too biased and it's making the model perform worse which implies that it's going to be very very very expensive to gather quality data to improve the model
They could be trying to prune the training corpus of copyrighted works to get ahead of any potential legal conflicts. It's also possible their training corpus has been tainted with stuff that was generated by AI.
There is still quite a bit of fat to trim on these llms might be early to tell, but yeah profitability is lower then expected they pounded 1 trillion $ over the last 7-8 months its a program that unemployes people, so how could it ever be good for the economy side note it is a real productivity upgrade and we really haven't gotten for 30 years, but it also seems to be a tech that is dead ended
I think it probably is still cheaper, the expensive part is development. AI companies right now are basically in a race to make useful AI before the VC funding runs out. The big developments will probably be slow and steady university research, as always
I mean the issue here is that it's regressing so there's two things that may be happening here:
(My guess) is that they're pruning the model to be more lean, which definitely does imply that it's expensive to run
New data being added to the model is too biased and it's making the model perform worse which implies that it's going to be very very very expensive to gather quality data to improve the model
They could be trying to prune the training corpus of copyrighted works to get ahead of any potential legal conflicts. It's also possible their training corpus has been tainted with stuff that was generated by AI.
The first sounds plausible but I was definitely leaning towards the second
Fucking bingo you get it, you get a medal of. Assinment understander
they absolutely are.
There is still quite a bit of fat to trim on these llms might be early to tell, but yeah profitability is lower then expected they pounded 1 trillion $ over the last 7-8 months its a program that unemployes people, so how could it ever be good for the economy side note it is a real productivity upgrade and we really haven't gotten for 30 years, but it also seems to be a tech that is dead ended