Comment on Is AI Facing a Trough of Disillusionment?
jacksilver@lemmy.world 3 days agoThat’s the issue, AI right now means LLMs not deep learning/ML.
The Deep Learning/ML stuff will keep chugging along.
Comment on Is AI Facing a Trough of Disillusionment?
jacksilver@lemmy.world 3 days agoThat’s the issue, AI right now means LLMs not deep learning/ML.
The Deep Learning/ML stuff will keep chugging along.
chrash0@lemmy.world 3 days ago
but LLMs do represent a significant technological leap forward. i also share the skepticism that we haven’t “cracked AGI” and that a lot of these products are dumb. i think another comment made a better analogy to the dotcom bubble.
jacksilver@lemmy.world 3 days ago
We definitely haven’t cracked AGI, that’s without a doubt.
But yeah, LLMs are big (I’d say really Transformers were the breakthrough). My point though was that Deep Learning is the underlying technology driving all of this and we certainly haven’t run out of ideas in that space even if LLMs may be hitting a dead end.
CheeseNoodle@lemmy.world 1 day ago
I feel like LLMs didn’t hit a deadend so much as people started trying to use them in completely inappropriate applications.
jacksilver@lemmy.world 1 day ago
I think it’s a mixture of that and the fact that when OpenAI saw that throwing more data drastically improved the models, they thought they would continue to see jumps like that.
However, we now know that bad benchmarks were misleading how steep the improvements were, and much like with autonomous vehicles, solving 90% of the problem is still a farcry away from 100%.