zlacker

[return to "Chomsky on what ChatGPT is good for (2023)"]
1. atdt+SZ[view] [source] 2025-05-26 01:19:36
>>mef+(OP)
The level of intellectual engagement with Chomsky's ideas in the comments here is shockingly low. Surely, we are capable of holding these two thoughts: one, that the facility of LLMs is fantastic and useful, and two, that the major breakthroughs of AI this decade have not, at least so far, substantially deepened our understanding of our own intelligence and its constitution.

That may change, particularly if the intelligence of LLMs proves to be analogous to our own in some deep way—a point that is still very much undecided. However, if the similarities are there, so is the potential for knowledge. We have a complete mechanical understanding of LLMs and can pry apart their structure, which we cannot yet do with the brain. And some of the smartest people in the world are engaged in making LLMs smaller and more efficient; it seems possible that the push for miniaturization will rediscover some tricks also discovered by the blind watchmaker. But these things are not a given.

◧◩
2. godels+i81[view] [source] 2025-05-26 02:51:55
>>atdt+SZ

  > one, that the facility of LLMs is fantastic and useful
I didn't see where he was disagreeing with this.

I'm assuming this was the part you were saying he doesn't hold, because it is pretty clear he holds the second thought.

  | is it likely that programs will be devised that surpass human capabilities? We have to be careful about the word “capabilities,” for reasons to which I’ll return. But if we take the term to refer to human performance, then the answer is: definitely yes.
I have a difficult time reading this as saying that LLMs aren't fantastic and useful.

  | We can make a rough distinction between pure engineering and science. There is no sharp boundary, but it’s a useful first approximation. Pure engineering seeks to produce a product that may be of some use. Science seeks understanding.
This seems to be the core of his conversation. That he's talking about the side of science, not engineering.
[go to top]