- cross-posted to:
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- cross-posted to:
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Avram Piltch is the editor in chief of Tom’s Hardware, and he’s written a thoroughly researched article breaking down the promises and failures of LLM AIs.
Avram Piltch is the editor in chief of Tom’s Hardware, and he’s written a thoroughly researched article breaking down the promises and failures of LLM AIs.
I also like the point about interpolation vs extrapolation. It’s demonstrated when you look at art history (or the history of any other creative field). Humans don’t look at paintings and create something that’s predictable based on those paintings. They go “what happens when I take that idea and go even further?” An LLM could never have invented Cubism after looking at Paul Cezanne’s paintings, but Pablo Picasso did.