There are, also contrary to some popular understandings, continuous empirical and conceptual debates about what exactly LLMs have "learned" (and this presumes "learning" is the right concept; kind of an unnoticed assumption in popular talk recently, minus LeCun et al.). It's not remotely settled.
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Vincent Carchidi
Vincent Carchidi
A lot hinges on the analogy, and I'm never entirely sure what people mean by it. You could get rid of the scams, slop, etc. that we deal with today, and what are you left with that has comparable effects to the industrial revolution?
Talking only in terms of actually existing tech here.
I also think we should be wary of the (sometimes implicit, sometimes explicit) idea that being bullish on this or that set of uses means buying into some very specific scientific or philosophical assumptions. Not good!
Custom feeds? Nah, I'm good. I prefer foraging for my follows like my ancestors.
This is actually not a shitpost, believe it or not. Get that shit done early next time.
Moderately bullish on the medium- and long-term, but I am not actually sure this is the way to look at what is called "AI" today. And anything that would cause this probably should not share the same name ("AI").
Like maybe tomorrow someone releases a new type of thing that cures cancer, but it isn't a neural network and isn't any of AI's earlier techniques, but still calls it "AI."
In any event, "doing existing things faster" vs. "changing the game altogether" remains the relevant distinction IMHO.
Useful - responding appropriately to a user's intent, often at least - just does not necessarily entail the cognitive capacities we associate with human "understanding" (even if we cannot precisely define that term, it's not meaningless, and we rightly believe there is something to it).
Gotta start putting a "Not an Anti" when I say stuff like this, but I think - vaguely going off these results - there is a possibility that LLMs have learned something that isn't quite "language," despite appearances, and our ability to impose meaning on anything they output is essentially blinding.