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.
What's that saying? "Nobody ever went broke overestimating the poor taste of the average person"
Not replacement, but ecosystem collapse.
I am not saying it's not a sad state of affairs. I am just saying we have been there for a while and the floor might be raised, a bit at least.
There's still much to be done re: reorganizing how we behave such that we can reap the benefits of such a competent helper, but I don't think we'll be handing the reigns over any time soon.
I’m not sure we really want that, but I am pretty sure we’ll try for it.
- "Given this thing I saw a computer program do, clearly we'll have intelligent AI real soon now."
- "If we generate sufficiently smart AI then clearly all the jobs will go away because the AI will just do them all for us"
- "We'll clearly be able to do the AI thing using a reasonable amount of electricity"
None of these ideas are "clear", and they're all based on some "futurist faith" crap. Let's say Microsoft does succeed (likely at collosal cost in compute) in creating some humanlike AI. How will they put it to work? What incentives could you offer such a creature? What will it want in exchange for labor? What will it enjoy? What will it dislike? But we're not there yet, first show me the intelligent AI then we can discuss the rest.
What's really disturbing about this is hype is precisely that this technology is so computationally intensive. So of course the computer people are going to hype it--they're pick and shovel salespeople supplying (yet another) gold rush.
It's an article of faith -- we don't KNOW that they're going to get there. They're going to get better, almost certainly, but how much? How much gas is left in the tank for this technique?
Honestly, I think the fact that every new "groundbreaking" news release about LLMs has come alongside a swath of discussion about how it doesn't actually live up to the hype, that it achieves a solid "mid" and stops there, I think this means it's more likely that the robots AREN'T going to get there some day. (Well, not unless there's another breakthrough AI technique.)
Either way, I still think it's interesting that there's this article of faith a lot of us have "we're not there now, but we'll get there soon" that we don't really address, and it really colors the discussion a certain way.