Despise my bullish sentiment on AI (I won't be surprised by LLMs being PhD level in everything in 2 years), it is entirely possible that the LLM approach has practical limits that mean it will always be a jack of all trades and master of none, that mastery can only be achieved by specialised AI such as AlphaZero etc. that the LLMs can call out to and which themselves are hard to create in new domains.
This could in turn cause another AI winter, even as the current state of the art models are turned into fully open-sourced commodities that can run locally on cellphones.
Whether it's LLMs some other new groundbreaking architecture the trends and underlying principles are undeniable. To think it's just another hype cycle at this point is silly, and it's crazy how many people look at crypto and AI and think they're remotely similar.
> the trends and underlying principles are undeniable. To think it's just another hype cycle at this point is silly
Saying that is surely a sign of hype, no?
> and it's crazy how many people look at crypto and AI and think they're remotely similar.
I don't think they're similar, but I absolutely do recognise why they may seem similar. Lots of humans make quick judgements and then anchor on them, and there are many ways to draw lines between almost anything. It's almost like humans are just stochastic pattern matchers… :P
Despise my bullish sentiment on AI (I won't be surprised by LLMs being PhD level in everything in 2 years), it is entirely possible that the LLM approach has practical limits that mean it will always be a jack of all trades and master of none, that mastery can only be achieved by specialised AI such as AlphaZero etc. that the LLMs can call out to and which themselves are hard to create in new domains.
This could in turn cause another AI winter, even as the current state of the art models are turned into fully open-sourced commodities that can run locally on cellphones.