| IMO it seems almost epistemologically impossible that LLM's following anything even resembling the current techniques will ever be able to comfortably out-perform humans at genuinely creative endeavours because they, almost by definition, cannot be "exceptional". If you think about how an LLM works, it's effectively going "given a certain input, what is the statistically average output that I should provide, given my training corpus". The thing is, humans are remarkably shit at understanding just how exception someone needs to be to be genuinely creative in a way that most humans would consider "artistic"... You're talking 1/1000 people AT best. This creates a kind of devils bargain for LLMs where you have to start trading training set size for training set quality, because there's a remarkably small amount of genuinely GREAT quality content to feed this things. I DO believe that the current field of LLM/LXM's will get much better at a lot of stuff, and my god anyone below the top 10-15% of their particular field is going to be in a LOT of trouble, but unless you can train models SOLELY on the input of exceptionally high performing people (which I fundamentally believe there is simply not enough content in existence to do), the models almost by definition will not be able to outperform those high performing people. Will they be able to do the intellectual work of the average person? Yeah absolutely. Will they be able to do it probably 100/1000x faster than any human (no matter how exceptional)?... Yeah probably... But I don't believe they'll be able to do it better than the truly exceptional people. |
A decent LLM can just keep going. Time and stamina are effectively unlimited, and an LLM can just keep rolling its 100 dice until they all come up sixes.
Or an author can just input their ideas and have an LLM do the boring bit of actually putting the words on the paper.