𝙲𝚑𝚊𝚒𝚛𝚖𝚊𝚗 𝙼𝚎𝚘𝚠

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Joined 1 year ago
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Cake day: August 16th, 2023

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  • also giving infants 70 shots is insane

    Yoi’re right, letting them get infected with life-threatening diseases with as little protection as possible is much more responsible.

    Only thing this is benefiting is big pharma, they don’t make money off of healthy people.

    This has always been a stupid argument. Imagine two pharmaceutical companies, A and B. A develops a treatment that treats but doesn’t cure a patient. B develops a more expensive treatment, but it completely cures a patient.

    Which company would you want to be a customer of? Obviously B, they can cure you. Pharmaceutical companies are financially incentivised to cure rather than treat.

    Now imagine A also tries to develop a cure. The only was they can compete is by making the cure cheaper, safer or more effective.

    Being the only one with a cure means you can also ask higher prices, as you’ve essentially monopolised a disease.

    This is also self-evident from all the diseases that we’ve found cures for in the last few decades. Even cancer is becoming less and less of a death sentence.

    RFK is right

    He’s wrong.




  • Except the part where it said downloading videos is against their terms of service? Which was my only point?

    Did you completely fail to read the part “except where authorized”? That bit of legalese is a blanket “you can’t use this software in a way we don’t want to”.

    You physically cannot download files to a browser. A browser is a piece of software. It does not allow you to download anything

    Ah, you just have zero clue what you’re talking about, but you think you do. I can point out exactly where you are on the Dunning-Kruger curve.

    This is such a wild conversation and ridiculous mental gymnastics. I think we’re done here.

    Hilarious coming from you, who has ignored every bit of information people have thrown at you to get you to understand. But agreed, this is not going anywhere.


  • Yes, by allowing you to download the video file to the browser. This snippet of legal terms didn’t really reinforce any of your points.

    But it actually is helpful for mine. In legalese, downloading and storing a file actually falls under reproduction, as this essentially creates an unauthorized copy of the data if not expressly allowed. It’s legally separate from downloading, which is just the act of moving data from one computer to another. Downloading also kind of pedantically necessitates reproduction to the temporary memory of the computer (eg RAM), but this temporary reproduction is most cases allowed (except when it comes to copyrighted material from an illegal source, for example).

    In legalese here, the “downloading” specifically refers to retrieving server data in an unauthorized manner (eg a bot farm downloading videos, or trying to watch a video that’s not supposed to be out yet). Storing this data to file falls under the legal definition of reproduction instead.







  • If producing an AGI is intractable, why does the human meat-brain exist?

    Ah, but here we have to get pedantic a little bit: producing an AGI through current known methods is intractable.

    The human brain is extremely complex and we still don’t fully know how it works. We don’t know if the way we learn is really analogous to how these AIs learn. We don’t really know if the way we think is analogous to how computers “think”.

    There’s also another argument to be made, that an AGI that matches the currently agreed upon definition is impossible. And I mean that in the broadest sense, e.g. humans don’t fit the definition either. If that’s true, then an AI could perhaps be trained in a tractable amount of time, but this would upend our understanding of human consciousness (perhaps justifyingly so). Maybe we’re overestimating how special we are.

    And then there’s the argument that you already mentioned: it is intractable, but 60 million years, spread over trillions of creatures is long enough. That also suggests that AGI is really hard, and that creating one really isn’t “around the corner” as some enthusiasts claim. For any practical AGI we’d have to finish training in maybe a couple years, not millions of years.

    And maybe we develop some quantum computing breakthrough that gets us where we need to be. Who knows?


  • This is a gross misrepresentation of the study.

    That’s as shortsighted as the “I think there is a world market for maybe five computers” quote, or the worry that NYC would be buried under mountains of horse poop before cars were invented.

    That’s not their argument. They’re saying that they can prove that machine learning cannot lead to AGI in the foreseeable future.

    Maybe transformers aren’t the path to AGI, but there’s no reason to think we can’t achieve it in general unless you’re religious.

    They’re not talking about achieving it in general, they only claim that no known techniques can bring it about in the near future, as the AI-hype people claim. Again, they prove this.

    That’s a silly argument. It sets up a strawman and knocks it down. Just because you create a model and prove something in it, doesn’t mean it has any relationship to the real world.

    That’s not what they did. They provided an extremely optimistic scenario in which someone creates an AGI through known methods (e.g. they have a computer with limitless memory, they have infinite and perfect training data, they can sample without any bias, current techniques can eventually create AGI, an AGI would only have to be slightly better than random chance but not perfect, etc…), and then present a computational proof that shows that this is in contradiction with other logical proofs.

    Basically, if you can train an AGI through currently known methods, then you have an algorithm that can solve the Perfect-vs-Chance problem in polynomial time. There’s a technical explanation in the paper that I’m not going to try and rehash since it’s been too long since I worked on computational proofs, but it seems to check out. But this is a contradiction, as we have proof, hard mathematical proof, that such an algorithm cannot exist and must be non-polynomial or NP-Hard. Therefore, AI-learning for an AGI must also be NP-Hard. And because every known AI learning method is tractable, it cannor possibly lead to AGI. It’s not a strawman, it’s a hard proof of why it’s impossible, like proving that pi has infinite decimals or something.

    Ergo, anyone who claims that AGI is around the corner either means “a good AI that can demonstrate some but not all human behaviour” or is bullshitting. We literally could burn up the entire planet for fuel to train an AI and we’d still not end up with an AGI. We need some other breakthrough, e.g. significant advancements in quantum computing perhaps, to even hope at beginning work on an AGI. And again, the authors don’t offer a thought experiment, they provide a computational proof for this.






  • What happens if a mistake was made and an NFT is erroneously issued (for example to the wrong person)?

    What happens if the owner dies? How is the NFT transferred then?

    Who checks that the original NFT was issued correctly?

    What about properties that are split? What happens if the split isn’t represented in the NFT correctly (e.g. due to an error)?

    The whole non-fungible part can be a problem, not a solution. It very, very rarely happens that ownership of a property is contested. It happens quite often that a mistake is made during a property transfer/sale that needs to be corrected. How do NFTs deal with this, and are they a solution to a non-issue?