As mentioned, much of our discussion is rote parroting. I can usually go into any hackernews thread and roughly know what the top discussions are going to be. It's not surprising that an AI trained on a large portion of the internet would thus look human like. If you really poke at GPT, you begin to realize it's fairly shallow. Human intelligence is like a deep well or pond, where as GPT is a vast but shallow ocean.…
> Making that ocean deeper is not a trivial problem that we can just throw more compute or data at. You can't possibly know that, given that we don't actually understand how LLMs work on a high level. > We've pretty much tapped out that depth with GPT4 GPT-4 is three months old and you're confident that its working principle cannot be extended further? Where do you get that confidence from?
It's a fair assumption to make however - basically 80/20 rule.
AI research isn't a new thing and I bet you could go back 40/50 years where they thought they were about to have a massive breakthrough to human level intelligence.
> GPT-4 is three months old and you're confident that its working principle cannot be extended further? Where do you get that confidence from?
I'm guessing from actually using it.
GPT4 is super impressive and helpful in a practical way, but having used it myself for a while now I get this feeling also. It feels a bit like "it's been fed everything we have, with all the techniques we have, now what?"