• 3 Posts
  • 33 Comments
Joined 1 year ago
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Cake day: July 2nd, 2023

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  • Meh, this military stuff is such an exaggeration. It’s mainly about politicians wanting to look like they are strong and doing stuff.

    The military are by law allowed to carry out some tasks the police force can. The main example that has been brought up, is to guard buildings of importance. They also have other skills when it comes to technology, and could help the police with knowledge there. That’s the gist of it.

    Would not call that copy anyone’s mistakes at all to be honest.


  • ribboo@lemm.eetoFediverse@lemmy.worldWhich iOS app for Lemmy?
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    10 months ago

    I feel like the jury’s still out a bit. We had some insane development during July, then it steadily dropped off. Lots of decent apps, but not many being updated during the last month.

    And they aren’t really in that good of a state, still many kinks to iron out.

    Lemma is a newcomer that seems pretty great. I miss some sorting options, other than that it’s awesome.







  • So you can feed a weather model weather data, but you cannot feed a language model, programming languages and get accurate predictions?

    Basically no one is saying that “yeah I just go off the output, it’s perfect”. People use it to get a ballpark and then they work off that. Much like a meteorologist would do.

    It’s not 100% or 0%. With imperfect data, we get imperfect responses. But that’s no difference from a weather model. We can still get results that are 50% or 80% accurate with less than 100% correct information. Given that a large enough amount of the data is correct.


  • Well, we are back at my earlier point. There is no need for knowledge if the statistical models are good enough.

    A weather forecast does not have any knowledge whatsoever. It has data and statistical models. No one goes around dismissing them due to them not have any knowledge. Sure, we can be open to the fact that the statistical models are not perfect. But the models have gotten so good that they are used in people’s everyday life with rather high degree of certainty, they are used for hurricane warnings and whatnot, saving tens of thousands of life’s - if not more - yearly.

    Your map app has no knowledge either. But it’s still amazing for knowing with a high degree of certainty how much time you’ll need from place A to B and which route will be shortest. Even taking live traffic into account. We could argue it’s just a parrot on steroid, that has been fed with billions of data points with some statistics on top, and say that it doesn’t know anything. But it’s such a useless point, because knowledge is not necessary if the data and statistical models are sound enough.



  • It’s just very quick at doing simple things you already could do - or doing things that you’d need to think about for a couple of minutes.

    I wouldn’t trust it to do things I couldn’t achieve. But for stuff I could, it’s often much quicker. And I’m well equipped to check what it’s doing myself.

    Statistical sentence generator gets thrown around so much, if anything I doubt people actually understand what can be achieved through just that. It doesn’t matter if it doesn’t know anything. If it can generate sentences statistically with a 100% correct and proficient outcome, it’d always be correct regardless of its lack of knowledge.

    We’re not at 100%. But we’re not at 10% either.





  • Meh. You’ll do better if you actually know some math as well. No engineer is going to pull up the calculator to calculate 127+9. I hang around math-wizards all day, and it’s me who need to use the calculator, not them. I’ll tell you that much.

    Same goes for writing. Sure, ChatGPT can do amazing things. But if you can’t do them yourself, you’ll struggle to spot the not so amazing things it does.

    It’s always easy when you know basic math, writing and reading to say schools are doing it all wrong. But you’re already mostly fluent in what they’re teaching. With that knowledge, you can use ChatGPT as a great tool. Without that knowledge, you couldn’t.