• @ffeucht
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    -115 months ago

    Human takes at least 30min to make a half descent painting. AI takes about a hundreds of a second on consumer hardware. So right now we are already at a point where AI can be 100,000 times faster than a human. AI can basically produce content faster than we can consume it. And we have barely even started optimizing it.

    It doesn’t really matter if AI will run into a brick wall at some point, since that brick wall will be nowhere near human ability, it will be far past that and better/worse in ways that are quite unnatural to a human and impossible to predict. It’s like a self-driving car zipping at 1000km/h through the city, you are not only no longer in control, you couldn’t even control it if you tried.

    That aside, the scariest part with AI isn’t all the ways it can go wrong, but that nobody has figured out a plausible way on how it could go right in the long term. The world in 100 years, how is that going to look like with ubiquitous AI? I have yet to see as much as a single article or scifi story presenting that in a believable manner.

    • @selfMA
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      205 months ago

      is this post an extended retelling of the “I’m doing 1000 calculations per second and they’re all wrong” meme?

      • @ffeucht
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        -65 months ago

        Good thing that technology never ever improves…

        • @selfMA
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          85 months ago

          why is this specific technology predestined to improve from its current, shitty state?

          • @ffeucht
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            5 months ago

            Spot the difference? It gets better because you have to do little more than throw more data at it, the AI figures out the rest. There is no human in loop that has to figure out what makes a picture a picture and teach the AI to draw, the AI learns that simply by example. And it doesn’t matter what data you throw at it. You can throw music at it and it’ll learn how to do music. You throw speech at it and it learns to talk. And so on. The more data you throw at it, the better it gets and we have only just started.

            Everything you see today is little more than a proof of concept that shows that this actually works. Next few years we will be throwing ever more data at it, building multi-modal models that can do text/video/audio together, AI’s that can interact with the real world and so no. There is tons of room to improve simply by adding more and different data, without any big chances in the underlying algorithms.

            • @YouKnowWhoTheFuckIAM
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              155 months ago

              stop saying ‘we’ unless you’re actually paid by these ghouls to work on this trash

              • @selfMA
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                95 months ago

                they signed up here on the pretense that they’re an old r/SneerClub poster, but given how long they lasted before they started posting advertising for their machine god, I’m gonna assume they’re either yet another lost AI researcher come to dazzle us with unimpressive bullshit or a LWer trying to pull a fast one

            • @selfMA
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              125 months ago

              you seriously thought reposting AI marketing horseshit we’ve seen before would do anything other than cost you your account? sora gives a shit result even when openai’s marketing department is fluffing it — it made so few changes to the source material it’s plagiarizing that a bunch of folks were able to find the original video clips. but I’m wasting my fucking time — you’re already dithering like a cryptobro between “this technology is already revolutionary” and “we’re still early”

              now fuck off

              • @200fifty
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                75 months ago

                it made so few changes to the source material it’s plagiarizing that a bunch of folks were able to find the original video clips

                Wait, for real? I missed this, do you have a source? I want to hear more about this lol

                • @selfMA
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                  145 months ago

                  it took me sifting through an incredible amount of OpenAI SEO bullshit and breathless articles repeating their marketing, but this article links to and summarizes some of that discussion in its latter paragraphs

                  bonus: in the process of digging up the above, I found this other article that does a much better job tearing into sora than I did — mostly because sora isn’t interesting at all to me (the result looks awful when you, like, look at it) and the claims that it has any understanding of physics or an internal world model are plainly laughable

                  • @froztbyte
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                    5 months ago

                    ah yes, this (BITM) was indeed one of my Opened Tabs and on my (extremely) long list of places to review for regular content

                  • @V0ldek
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                    45 months ago

                    the result looks awful when you, like, look at it

                    See now, there’s your problem, you’re not supposed to.

                • @froztbyte
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                  45 months ago

                  Yeah, people found the original bird video on YouTube within a few hours. Could’ve been the others too but I was too busy at the time to track that l

                  I think it was also in the thread here at the time

                • @msherburn33@lemmy.ml
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                  -65 months ago

                  Wait, for real?

                  No, if you spend a few second searching for stock images of that bird you’ll quickly find out that they all look more or less the same. So naturally, SORA produces something that looks very similar as well.

                  • @froztbyte
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                    65 months ago

                    in4 “well actually, Generative ML was discovered by Darwin”

                  • @selfMA
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                    65 months ago

                    oh wow a fresh account with the exact same writing style and shit takes as the other poster, wonder who that could be