3 ms·
Yeah, they're great at interpolation - they'll just never be worth much at extrapolation.
by y0eswddl 6mo ago
Yeah, they're great at interpolation - they'll just never be worth much at extrapolation.
- deleted 6mo ago[deleted]
- SR2Z 6mo agoLuckily for us, whole fortunes can be made by filling in the blanks between what we know and what we realize.
- javawizard 6mo agoThat deserves to be on a plaque somewhere. I've been using LLMs for much the same purpose: solving problems within my field of expertise where the limiting factor is not intelligence per se, but the ability to connect the right dots from among a vast corpus of knowledge that I would never realistically be able to imbibe and remember over the course of a lifetime. Once the dots are connected, I can verify the solutions and/or extend them in creative ways with comparatively little effort. It really is incredible what otherwise intractable problems have become solvable as a result.
- dalyons 6mo agoWhat’s your field
- speed_spread 6mo agoPaint by numbers
- jedmeyers 6mo agoAnd by having more of those blanks filled humans might be able to come up with much better extrapolations than what we have right now.
- drdeca 6mo agoPeople keep saying this, but the only ways I know of for formalizing this statement, appear to be probably false? I don’t know what this claim is supposed to mean. If it isn’t supposed to have a precise technical meaning, why is it using the word “interpolate”?