11–20 of 131 posts
It playbook is that a model is too dangerous until a competitor releases a competing model that beats yours.
It wasn't until I got early access to GPT-3, that I though like something big is about to happen. At the time only a few companies/yc alums had access and I remember showing playground to people outside of tech, and my friend just kept asking "How does it know about my [x] domain? It it a trick?".
the thing could barely make full grammatical sentences, it's funny to see that even then they were overclaiming the fuck out of their myself
I think they are right unintentionally. The growing amount of low-quality content everywhere could become a real problem.
Now imagine all that low quality AI slop is being posted online and a new generation of AI will "learn" from it, output it's own version of AI slop, that will eventually end up online again for a new generation of AI to "learn" from. Something, something, idiocracy comes to mind.
So, confirmation? They are catching up quickly!
The actuality is, anyone with pre-slop data still has their pre-slop data. And there are endless ways to get more value out of good data.
Bootstrapping better performance by using existing models to down select data for higher density/median quality, or leverage recognizable lower quality data to reinforce doing better. Models critiquing each other, so the baseline AI behavior increases, and in the process, they also create better training data. And a thousand more ways.
Managed intelligently, intelligence wants to compound.
The difference between human and AI idiocracy, is we don't delete our idiots. I am not suggesting we do that. But maybe we shouldn't elect them. Either way, that is one more very steep disadvantage for us.
I think they are right unintentionally. The growing amount of low-quality content everywhere could become a real problem.
Now imagine all that low quality AI slop is being posted online and a new generation of AI will "learn" from it, output it's own version of AI slop, that will eventually end up online again for a new generation of AI to "learn" from. Something, something, idiocracy comes to mind.