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In the same way you rely on a keyboard or touchscreen to type this comment. It doesn't mean the tool is the brain behind the work.
by pphysch 24d ago
In the same way you rely on a keyboard or touchscreen to type this comment. It doesn't mean the tool is the brain behind the work.
- whimsicalism 24d agofrankly don’t know how to reply to these sorts of comments anymore
- pphysch 24d agoThat's usually a good sign you are on shaky ground!
- logancbrown 24d agoObvious false analogy in your earlier argument.
- buellerbueller 24d agoNo so obvious to this guy.
- whimsicalism 24d agoit is truly not obvious to you why keyboard isn’t a good analogy for LLM?
- vouaobrasil 24d agoKeyboards don't suggest chains of reasoning or words to type. When I press the K key, I know exactly what will happen. It's just a translation layer that gives an output known ahead of time and thus does not impinge upon the creativity of putting words together. A better example would be playing chess against a player slightly stronger than me and using a chess computer to suggest some good moves. I could win, but it certianly wouldn't be just my brain that wins. It would be an amalgamation of my brain with a machine that suggests good moves. One cannot simply reason by analogy.
- visarga 24d ago> Keyboards don't suggest chains of reasoning or words to type My iPhone keyboard does
- vouaobrasil 23d agoI was talking about regular old keyboards. But you're just being pedantic.
- pphysch 24d agoThis is straight up misleading. When you press your K key on a touchscreen, your keyboard program may decide you meant to press the neighboring L key (by dynamically inflating the collision geometry on it) because it was statistically far more likely that you meant to press the L key next. This likely doesn't happen exactly on an analog keyboard, but then many text-processing environments that do the same thing in post. My keyboard just edited 'yuor' to 'your' even though I successfully input the prior string.
- Romario77 24d agothat's not how AI was used in this case. It's more like a professor with assistants. Professor says the assistants - why don't you dig in this direction, I have a hunch it might produce something valuable. And AI assistant does just that, proving or disproving a hunch. This would take the professor a lot of time if doing by themselves.
- pphysch 24d agoYes, and keyboards also save a lot of time over handwriting. Numerical methods and proof engines save even more time. LLMs are just another tool in the kit.