alt Hacker NewsMost contemporary stories around AI include the implication that AI did something humans couldn't. This is because the big players have been shilling AGI hard for a while, and their valuations depend on maintaining the sentiment that serious progress in that direction is being made.
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TeMPOraL • today at 11:15 AM
No, they don't - that implication is in the heads of people who believe AI is magic, or believe AI is advertised as magic, or believe that humans are dumb.
The actual implication is, and always been, different: AI did something humans theoretically could, given enough time, motivation and budget, but they didn't, because it wasn't the best use of time or money. AI therefore demonstrates its value, by opening up problems that were previously uneconomical to solve.
Is there anything that LLMs (or any software for that matter) could imaginably and theoretically do but do humans qualitatively cannot do?
I don't really know what I'm talking about but I imagined the difference was always quantitative (in a nutshell: they need less time).