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The process here seems relatively clear. Original logic-based "AI" system didn't "fail-fail". They could reproduce some complex human behaviors but they requir

The process here seems relatively clear. Original logic-based "AI" system didn't "fail-fail". They could reproduce some complex human behaviors but they required expensive people writing their code. Deep learning succeeded because it allowed compute to be substituted for these coders and so companies could produce the current structures without an army of zillions of experts. But these systems still suffer from problems of "not really learning" or "not really understanding". I don't think the problem of discovering how humans quickly learn to make effective novel responses to new information is unsolvable but the deep learning arc may not have brought it's solution much closer (despite appearances).

jqpabc123 2y ago
An LLM is like an idiot savant --- i.e. kinda like in the movie Rain Man. They excel at remembering data but they often fail in applying all that data to reach any logical conclusion. In other words, they are sort of a big, expensive, power hungry, talking hard drive --- which is a technical solution looking for a problem in a lot of cases.
- Wheatman 2y ago
  The thing with AI isnt that it doesn't have a whole lot of use cases,it is thr fact that its use cases dont justify the hype or investment it has gotten. It is somewhere in between Crypto and dot.com as far as bubbles go, and as open models catch up with closed source ones, it seems less and less likely that yhese companies are ever gonna make back the monry they spent, at least short term.
  - jqpabc123 2y ago
    The thing with AI isnt that it doesn't have a whole lot of use cases,it is thr fact that its use cases dont justify the hype or investment it has gotten. The truly disheartening aspect is the fact that so many technical "leaders" have bought into the hype and are throwing huge sums of money down this rabbit hole. It's not like we haven't been through this sort of thing before. And many seem convinced that these talking databases that can't do simple math are somehow a threat to society. This is an insult to humanity in more ways than one.
- isaacfrond 2y ago
  ChatGPT's 200 million weekly active users worldwide would disagree with you.
  - Sateeshm 2y ago
    So it's a useful idiot savant

jqpabc123 2y ago

An LLM is like an idiot savant --- i.e. kinda like in the movie Rain Man. They excel at remembering data but they often fail in applying all that data to reach any logical conclusion. In other words, they are sort of a big, expensive, power hungry, talking hard drive --- which is a technical solution looking for a problem in a lot of cases.

Wheatman 2y ago
The thing with AI isnt that it doesn't have a whole lot of use cases,it is thr fact that its use cases dont justify the hype or investment it has gotten. It is somewhere in between Crypto and dot.com as far as bubbles go, and as open models catch up with closed source ones, it seems less and less likely that yhese companies are ever gonna make back the monry they spent, at least short term.
- jqpabc123 2y ago
  The thing with AI isnt that it doesn't have a whole lot of use cases,it is thr fact that its use cases dont justify the hype or investment it has gotten. The truly disheartening aspect is the fact that so many technical "leaders" have bought into the hype and are throwing huge sums of money down this rabbit hole. It's not like we haven't been through this sort of thing before. And many seem convinced that these talking databases that can't do simple math are somehow a threat to society. This is an insult to humanity in more ways than one.
isaacfrond 2y ago
ChatGPT's 200 million weekly active users worldwide would disagree with you.
- Sateeshm 2y ago
  So it's a useful idiot savant