I’ve also heard it’s true that as far as we can figure, we’ve basically reached the limit on certain aspects of LLMs already. Basically, LLMs need a FUCK ton of data to be good. And we’ve already pumped them full of the entire internet so all we can do now is marginally improve these algorithms that we barely understand how they work. Think about that, the entire Internet isnt enough to successfully train LLMs.
LLMs have taken some jobs already (like audio transcription, basic copyediting, and aspects of programming), we’re just waiting for the industries to catch up. But we’ll need to wait for a paradigm shift before they start producing pictures and books or doing complex technical jobs with few enough hallucinations that we can successfully replace people.
My own personal belief is very close to what you’ve said. It’s a technology that isn’t new, but had been assumed to not be as good as compositional models because it would cost a fuck-ton to build and would result in dangerous hallucinations. It turns out that both are still true, but people don’t particularly care. I also believe that one of the reasons why ChatGPT has performed so well compared to other LLM initiatives is because there is a huge amount of stolen data that would get OpenAI in a LOT of trouble.
IMO, the real breakthroughs will be in academia. Now that LLM’s are popular again, we’ll see more research into how they can be better utilised.
Afaik open ai got their training data from basically a free resource that they just had to request access to. They didn’t think much about it along with everyone else. No one could have predicted that it would be that valuable until after the fact where in retrospect it seems obvious.
I’ve also heard it’s true that as far as we can figure, we’ve basically reached the limit on certain aspects of LLMs already. Basically, LLMs need a FUCK ton of data to be good. And we’ve already pumped them full of the entire internet so all we can do now is marginally improve these algorithms that we barely understand how they work. Think about that, the entire Internet isnt enough to successfully train LLMs.
LLMs have taken some jobs already (like audio transcription, basic copyediting, and aspects of programming), we’re just waiting for the industries to catch up. But we’ll need to wait for a paradigm shift before they start producing pictures and books or doing complex technical jobs with few enough hallucinations that we can successfully replace people.
My own personal belief is very close to what you’ve said. It’s a technology that isn’t new, but had been assumed to not be as good as compositional models because it would cost a fuck-ton to build and would result in dangerous hallucinations. It turns out that both are still true, but people don’t particularly care. I also believe that one of the reasons why ChatGPT has performed so well compared to other LLM initiatives is because there is a huge amount of stolen data that would get OpenAI in a LOT of trouble.
IMO, the real breakthroughs will be in academia. Now that LLM’s are popular again, we’ll see more research into how they can be better utilised.
Afaik open ai got their training data from basically a free resource that they just had to request access to. They didn’t think much about it along with everyone else. No one could have predicted that it would be that valuable until after the fact where in retrospect it seems obvious.