• 0 Posts
  • 558 Comments
Joined 1 year ago
cake
Cake day: October 18th, 2023

help-circle


  • I disagree because you probably use the entertainment buttons more than anything. For instance, my wife’s car has the volume control on the touchscreen, which is super annoying because it’s something I like to manually adjust a lot.

    I honestly can’t think of what I would prefer be touch screen…really it should just display on a touch screen so I can use it if I want, but everything should be controllable through physical buttons too.


  • Microsoft expects me to pay for Office 365? No, fuck you, I’ve got LibreOffice and your older Office software still works as good. Your word processing program, Word, hasn’t really changed that much since 2007 or even 2003. Hell, maybe not since 1997!

    So I moved to foss probably about 20 years ago and have been going back and forth between libre office and open office.

    A couple of years ago my wife wanted me office, so I got the subscription…and man it’s so much better than either of those two, and to suggest that maybe it hasn’t changed since 1997 is mindboggling.

    I’m a big proponent of not signing up for these services, but this paragraph really misses the mark for me.








  • We shit on redditors for being arrogant and having grating personalities.

    Yet it’s ridiculously common to come into a thread here and see it flooded with low effort “well duh!” Comments.

    Lemmings apparently know everything and everything is obvious to them.

    Which doesn’t even make sense here. A lot of smart people are dumping money into carbon capture as a way to offset what we’ve done. Yet here you are, so smart, that this is obviously wrong.






  • I’m not saying it’s 99.9% of human intelligence, I’m saying you’re describing 99.9% of human thought.

    This is what humans do, we hear about something thing and then we learn how to apply it to another. You even mention here “stacking balls” and then making the connection that eggs are also round and would need to be stacked in the same way to prevent rolling. This is reasoning, using what you’ve learned and applying it to a novel problem.

    What you are describing as novel problems are really just doing the same thing at a completely different level. Like I play soccer, but no matter how much I trained, there is no way I would ever reach Messi’s skill, because he was just born with special skill in that area, but still just human like the rest of us.

    And remember I’m mostly just pointing to the “text predictor” claim. I’m not convinced it’s not, and I think that appeared true for early models, but not so easy to apply to current models.


  • how could they tell it was truly a new thing

    Sure, there is a chance the exact question had been asked before, and answered, but we are talking remote possibilities here.

    that any description provided for it didn’t map it to another object that would behave similarly when stacking.

    If it has to say ‘this item is like that other item and thus I can use what I’ve learned about stacking that other item to stack this item’ then I would absolutely argue that it is reasoning and not just “predicting text” (or, again, predicting text might be the equivalent of reasoning).

    Stacking things isn’t a novel problem.

    Sure, stacking things is not a novel problem, which is why we have the word “stack” because it describes something we do. But stacking that list of things is (almost certainly) a novel problem. It’s just you use what you’ve learned and apply that knowledge to this new problem. A non-novel problem is if I say “2+2 = 4” and then turn around and ask you “what does 2 + 2 equal?” (Assuming you have no data set) If I then ask you “what’s 2 + 3?” that is a novel problem, even if it’s been answered before.

    I mean, I can’t dismiss that it isn’t doing something more complex, but examples like that don’t convince me that it is. It is capable of very impressive things, and even if it needs to regurgitate every answer it gives, few problems we want to solve day to day are truly novel, so regurgitating previous discussions plus a massive set of associations means that it can map a pretty large problem space to a large solution space with high accuracy.

    How are you convinced that humans are reasoning creatures? This honestly sounds like you could be describing 99.99% of human thought, meaning we almost never reason (if not actually never). Are we even reasonable?


  • I listened to a podcast (This American Life, IIRC), where some researchers were talking about their efforts to determine whether or not AI could reason. One test they did was asking it to stack a random set of items (one it wouldn’t have come across in any data set, plank of wood, 12 eggs, a book, a bottle, and a nail. . .probably some other things too) in a stable way. With chat gpt 3, it basically just (as you would expect from a pure text predictor) said to put one object on top of another, no way would it be stable.

    However, with gpt 4, it basically said to put the wood down, and place the eggs in a 3 x 4 grid with the book on top (to stop them from rolling away), and then with the bottle on top of that, with the nail (even noting you have to put the head side down because you couldn’t make it stable with the point down). It was certainly something that could work, and it was a novel solution.

    Now I’m not saying this proves it can think, but I think this “well it’s just a text predictor” kind of hand-waves away the question. It also begs the question, and based on how often I hear people parroting the same exact arguments against AI thinking, I wonder how much we are simply just “text predictors.”