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Joined 3 years ago
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Cake day: July 7th, 2023

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  • If we’re talking about Artificial INTELLIGENCE, then we should talk about “reasoning” as an ability to apply logic and not just match patterns. Because pure pattern matching is decidedly NOT reasoning, because if the pattern changes even a little (change the names and numbers, keeping the logic intact) all models start showing failures. So, yes, some people decided to reframe what “reasoning” means in this context (moving goalposts), but I’m pretty sure that 99% people who use the term when referring to AI don’t mean reasoning like that. Regardless, it’s not actually that of an interesting discussion, not do I actually care that much. So, sure, I’ll give you that point.


  • While that contains the word “reasoning” that does not make it such. If this is about the new “reasoning” capabilities of the new LLMS. It was if I recall correctly, found our that it’s not actually reasoning, just doing a fancy footwork appear as if it was reasoning, just like it’s doing fancy dice rolling to appear to be talking like a human being.

    As in, if you just change the underlying numbers and names on a test, the models will fail more often, even though the logic of the problem stays the same. This means, it’s not actually “reasoning”, it’s just applying another pattern.

    With the current technology we’ve gone so far into this brute forcing the appearance of intelligence that it is becoming quite the challenge in diagnosing what the model is even truly doing now. I personally doubt that the current approach, which is decades old and ultimately quite simple, is a viable way forwards. At least with our current computer technology, I suspect we’ll need a breakthrough of some kind.

    But besides the more powerful video cards, the basic principles of the current AI craze are the same as they were in the 70s or so when they tried the connectionist approach with hardware that could not parallel process, and had only datasets made by hand and not with stolen content. So, we’re just using the same approach as we were before we tried to do “handcrafted” AI with LISP machines in the 80s. Which failed. I doubt this earlier and (very) inefficient approach can solve the problem, ultimately. If this keeps on going, we’ll get pretty convincing results, but I seriously doubt we’ll get proper reasoning with this current approach.


  • While your point remains somewhat valid, it’s not actually valid to say “native” in the same sense as “native Americans”.

    There were a whole bunch of tribes in the area. Some were more influenced by Europe (swedes, Norwegians) and some less (Finns, Estonian, Sami). Surprise to no one, these tribes living in the southern regions were more successful (easier weather), so they expanded northward and thus rolled over the semi-nomadic Sami in a very nasty, but extremely historically common human way.





  • I don’t really think you’re expressing much of yourself with an AI, especially creativity. I mean all the power to you if you think so, but you can’t really claim to be anything more than a slightly less cumbersome Google image search bot.

    Basically you give “search terms” and then use your judgement to pick and choose. There’s very little expression and a whole lot curating of someone else’s work. I guess if you think making music playlist is an expression of creativity, sure it’ll qualify. But that’s some shallow expression of a personality when it comes to art. Might want to phrase that differently.






  • Dude. Take a chill in the bathtub and touch grass. AI is never taking my job, since it’s physical labor since I removed myself from the computer industry 15 years ago. But as someone who studied AI and LISP (which was mired in the previous AI craze), it’s not actually wrong to have animosity and be skeptical about the current AI. we’re literally using the same techniques than we did 30 years ago. We’ve invented nothing new since the last AI fad. What is driving this craze is the brute force approach of massive parallel processing, not actual innovation.

    There’s been some minor refinement, so it’s not exactly identical, but to use a metaphor… We’ve using more Lego bricks and different colours now to build our castles, but they’re all still lego bricks. Nothing has fundamentally changed.

    … and you should know by now that tech industry is funded by hype machine, so temper your expectations. Current machine learning techniques are limited and inefficient, it’s not actually really a solvable problem with the current approach.



  • NoMoreCocaine@lemmy.worldtoGames@lemmy.worldSteam keeps on winning
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    2 years ago

    You people need to watch the GDC Talk by the spiderweb software indie dev from like half a decade ago. He said, loud and clear, that the 30 cut is great and worth it for what he gets. Sure, lower cut is always nice, but let’s not be stupid and say that the devs don’t get their money’s worth.