Yes, but we would refer to our consciousness as an emergent property of our brain.

And we’re trying to build artificial brains.

We also understand the math underlying it. Humans designed and constructed it; we know exactly what it is capable of and what it does

This is false. Read about their emergent properties. We have no way of knowing when emergent properties appear, we just notice them.

Except calculators aren’t models capable of understanding language that appear to become more and more capable as they grow. It’s nothing like that.

And (from what I’ve seen) they get things wrong with extreme regularity, increasingly so as thing diverge from the training data. I wouldn’t say they’re a “stochastic parrot” but they don’t seem to be much better when things need to be correct… and again, based on my (admittedly limited) understanding of their design, I don’t anticipate this technology (at least without some kind of augmented approach that can reason about the substance) overcoming that.

Keep in mind, you’re talking about a rudimentary, introductory version of this, my argument is that we don’t know what will happen when they’ve scaled up, we know for certain hallucinations become less frequent as the model size increases (see the statistics on gpt3 vs 4 on hallucinations), perhaps this only occurs because they haven’t met a critical size yet? We don’t know.

There’s so much we don’t know.

That’s missing the forest for the trees. Of course an AI isn’t going to go fishing. However, I should be able to assert some facts about fishing and it should be able to reason based on those assertions. e.g. a child can work off of facts presented about fishing, “fish are hard to catch in muddy water” -> “the water is muddy, does that impact my chances of a catching a bluegill?” -> “yes, it does, bluegill are fish, and fish don’t like muddy water”.

https://blog.research.google/2022/05/language-models-perform-reasoning-via.html

they do this already, albeit imperfectly, but again, this is like, a baby LLM.

and just to prove it:

https://chat.openai.com/share/54455afb-3eb8-4b7f-8fcc-e144a48b6798

You’re assuming i’m saying something that i’m not, and then arguing with that, instead of my actual claim.

I’m saying we don’t know for sure what they will be able to do when they’re scaled up. That’s the end of my assertion. I don’t have to prove that they will suddenly come alive, i’m not claiming they will, i’m just claiming we don’t know what will happen when they’re scaled, and they seem to have emergent properties as they scale up. Nobody has devised a way of predicting what emergent properties happen when, nobody has made any progress whatsoever on knowing what scaling up accomplishes.

Can they reason? Yes, but poorly right now, will that get better? Who knows.

The end of my claim is that we don’t know what’ll happen when they scale up, and that you can’t just write it off like you are.

If you want proof that they reason, see the research article I linked. If they can do that in their rudimentary form that we’ve created with very little time, we can’t write off the possibility that they will scale.

Whether or not they reason LIKE HUMANS is irrelevant if they can do the job.

And i’m not anthropomorphizing them without reason, there aren’t terms for this already, what would you call this behavior of answering questions significantly better when asked to fully explain reasoning? I would say it is taking the easiest option that still meets the qualifications of what it is requested to do, following the path of least resistance, I don’t have a better word for this than laziness.

https://www.downtoearth.org.in/news/science-technology/artificial-intelligence-gpt-4-shows-sparks-of-common-sense-human-like-reasoning-finds-microsoft-89429

Furthermore predictive power is just another way of achieving reasoning, better predictive power IS better reasoning, because you can’t predict well without reasoning.

I’m not guessing. When I say it’s a difference of kind, I really did mean that. There is no cognition here; and we know enough about cognition to say that LLMs are not performing anything like it.

We do not know that, I challenge you to find a source for that, in fact, i’ve seen sources showing the opposite, they seem to reason in tokens, for example, LLM’s perform significantly better at tasks when asked to give a step by step reasoned explanation, this indicates that they are doing a form of reasoning, and their reasoning is limited by what I have no better term for than laziness.

https://blog.research.google/2022/05/language-models-perform-reasoning-via.html

If I teach a real AI about fishing, it should be able to reason about fishing and it shouldn’t need to have read a supplementary knowledge of mankind to do it.

This is a faulty assumption.

In order for you to learn about fishing, you had to learn a shitload about the world. Babies don’t come out of the womb able to do such tasks, there is a shitload of prerequisite knowledge in order to fish, it’s unfair to expect an ai to do this without prerequisite knowledge.

Furthermore, LLM’s have been shown to do many things that aren’t in their training data, so the notion that it’s a stochastic parrot is also false.

You’re guessing, you don’t actually know that for sure, it seems intuitively correct, but we simply do not know enough about cognition to make that assumption.

Perhaps our ability to reason exclusively comes from our ability to predict, and by scaling up the ability to predict, we become more and more able to reason.

These are guesses, all we have now are guesses, you can say “it doesn’t reason” and “it’s just autocorrect” all you want, but if that were the case why did scaling it up eventually enable it to perform basic math? Why did scaling it up improve its ability to problemsolve significantly (gpt3 vs gpt4), there’s so many unknowns in this field, to just say “nah, can’t be, it works differently from us” doesn’t mean it can’t do the same things as us given enough scale.

We don’t know that for sure yet, we saw a lot of emergent intelligent properties appear as we scaled up, and we’re nowhere near done scaling LLM’s, I’m not saying it will be solved, just that we don’t know one way or the other yet.

I’d also like hall effect joysticks and a better d-pad

These aren’t companies, these are projects, lemmy/mastodon are co-operatively worked on and can be worked on by any number of companies.

I don’t want a corpo internet, that’s kind of the point of federation.

There may be a need for improvement overtime… but that has nothing to do with if competition is helpful.

This is free open source software, it’s better to have many people working together on one project than a bunch of projects being worked on separately, for reasons I think are obvious.

There isn’t a race to be the king of the fediverse, competition does nothing but make people work separately on something that should be worked on cooperatively, it accomplishes nothing but slowing down development. If we used competition, when a new feature was implemented, now instead of it being implemented for everyone, it’ll be implemented in one particular codebase, and if other people want to implement it, there will be a massive duplication of effort.

What does competition in this space actually do for the community? As far as I see it, absolutely nothing at all, except duplicating effort.

No… it can just be better, it doesn’t have to be better than the competition, this is a bizarre assumption you’re making here. We’re talking about a website where you post small snippets of text, there isn’t really much innovation to be done here, and even if there were, open standards that people co-operate on will see faster progress than a bunch of people trying to make the exact same thing separately.

You seem to believe that it’s impossible to just improve and innovate without competition, but that’s simply not the case.

Competition often does not drive innovation in the software world, quite the opposite, free open source software allows collaboration between many people to better innovate than competition ever could, especially in this particular space.

You should read stirner.

I think the notion that humans are evil means you must be a conservative is laughable honestly. I’m a communist and I certainly don’t believe humans are naturally good or selfless in any way.

This is not a normal experience. I use 3 monitors and Linux runs better than windows significantly.

I’ve been saying forever this system is stupid as hell, you should have either a 100 percent chance to steal something or a 0 percent chance, so that you can’t save scum

Well, since it was so beneficial why don’t we enslave white people, it really isn’t fair that they didn’t get chattel slavery too don’t you think?

…because one side wants to eradicate a group of people (trans people) for their personal choices that they have nothing to do with, and take away rights from people that affect them in exactly no ways.

What does the left want to do that’s fascist?

that’s what asahi is for

My next keyboard is going to be the moonlander by ergodox.

The problem isn’t political extremism in either of those cases, the problem is authoritarianism.

Authoritarianism is just bad, no matter who does it. As others have stated, there is indeed no king of the fediverse.

Look, I think billionaires existing is ridiculous, look at my username, but that seems like a leap to me.

Why does that make him bad?

black and white 2 needs a modern remake.

I’m using jerboa for now, I intend to investigate in a couple months to find the best one, things are changing way too rapidly right now and I’d end up going through so many and that can’t be great for security.

You guys are all joking but this totally ruins my plans for if I won multiple lotteries.

https://www.youtube.com/watch?v=Kf2-86o5S1o here’s a video about it.

The US has countless pollinators.

Note: honeybees are not a native species in the US

you need an internet connection to add them as friends in-game, but once they’re added as friends in game it should work.

I’m under the impression that it automatically runs as a lan if everyone in the custom game is on the same network.

I could be wrong.

I’ve been playing a ton of combat master.

F2p with no bs, I love it, and it has a proper Linux client, it even runs natively on Wayland for me.

Oh dear god the war has been going for 16 months now?

I stopped following it after the first month.

Thanks for the information that’s very helpful.

How do you know all this about him? I’ve never heard of this guy until 5 minutes ago and am very curious.

Edit: 2022 corrupt person of the year… Great.

Sharks are evolving. They used to only bite people, they’ve moved up to stabbing.

I love them, let reddit die, we should have never trusted a centralized dictatorship of a corporation with our forums.

Actually, while it may seem fucked up at first glance… it’s also fucked up if you think about it.

They federate, in that they communicate with eachother, but this app wouldn’t allow you to login on a kbin instance, it’d only allow you to login on a lemmy instance.

To make it do both would unfortunately probably mean a complete duplication of effort, but i’m not sure of that.

Their efficiency drops to 90 percent after only 600 hours? Isn’t that actually awful?

and pretty soon you won’t even need that level of information

https://github.com/LemmyNet/lemmy-ui/issues/1113

https://github.com/LemmyNet/lemmy-ui/issues/1048

Once these are solved, it’ll be identical to reddit in terms of knowledge needed.