• Iunnrais@lemm.ee
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    5 months ago

    Just let anyone scrape it all for any reason. It’s science. Let it be free.

    • chicken@lemmy.dbzer0.com
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      5 months ago

      The OP tweet seems to be leaning pretty hard on the “AI bad” sentiment. If LLMs make academic knowledge more accessible to people that’s a good thing for the same reason what Aaron Swartz was doing was a good thing.

      • funkless_eck@sh.itjust.works
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        5 months ago

        That would be good if they did that but that is not the intent of the org, the purpose of the tool, the expected or even available outcome.

        It’s important to remember this data is not being scraped to make it available or presentable but to make a machine that echos human authography convincingly more convincingly.

        On an extremely simplified level, it doesn’t want to answer 1+1=? with “2”, it wants to appear like a human confidently answering an arithmetic question, even if the exchange is “1+1=?” “yes, 2+3 does equal 9”

        Obviously it can handle simple sums, this is an illustrative example

        • chicken@lemmy.dbzer0.com
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          5 months ago

          that is not the … available outcome.

          It demonstrably is already though. Paste a document in, then ask questions about its contents; the answer will typically take what’s written there into account. Ask about something you know is in a Wikipedia article that would have been part of its training data, same deal. If you think it can’t do this sort of thing, you can just try it yourself.

          Obviously it can handle simple sums, this is an illustrative example

          I am well aware that LLMs can struggle especially with reasoning tasks, and have a bad habit of making up answers in some situations. That’s not the same as being unable to correlate and recall information, which is the relevant task here. Search engines also use machine learning technology and have been able to do that to some extent for years. But with a search engine, even if it’s smart enough to figure out what you wanted and give you the correct link, that’s useless if the content behind the link is only available to institutions that pay thousands a year for the privilege.

          Think about these three things in terms of what information they contain and their capacity to convey it:

          • A search engine

          • Dataset of pirated contents from behind academic paywalls

          • A LLM model file that has been trained on said pirated data

          The latter two each have their pros and cons and would likely work better in combination with each other, but they both have an advantage over the search engine: they can tell you about the locked up data, and they can be used to combine the locked up data in novel ways.

          • funkless_eck@sh.itjust.works
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            5 months ago

            the problem is you can’t take those weaknesses and call it “academic” - it’s a contradiction in terms.

            When a real academic makes up answers its a problem, when chatgpt does it its part of the expectation.

      • Ashelyn@lemmy.blahaj.zone
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        5 months ago

        On the whole, maybe LLMs do make these subjects more accessible in a way that’s a net-positive, but there are a lot of monied interests that make positive, transparent design choices unlikely. The companies that create and tweak these generalized models want to make a return in the long run. Consequently, they have deliberately made their products speak in authoritative, neutral tones to make them seem more correct, unbiased and trustworthy to people.

        The problem is that LLMs ‘hallucinate’ details as an unavoidable consequence of their design. People can tell untruths as well, but if a person lies or misspeaks about a scientific study, they can be called out on it. An LLM cannot be held accountable in the same way, as it’s essentially a complex statistical prediction algorithm. Non-savvy users can easily be fed misinfo straight from the tap, and bad actors can easily generate correct-sounding misinformation to deliberately try and sway others.

        ChatGPT completely fabricating authors, titles, and even (fake) links to studies is a known problem. Far too often, unsuspecting users take its output at face value and believe it to be correct because it sounds correct. This is bad, and part of the issue is marketing these models as though they’re intelligent. They’re very good at generating plausible responses, but this should never be construed as them being good at generating correct ones.

  • CosmicTurtle0@lemmy.dbzer0.comM
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    5 months ago

    To paraphrase Nixon:

    “When you’re a company, it’s not illegal.”

    To paraphrase Trump:

    “When you’re a company, they just let you do it.”

    • TheOakTree@lemm.ee
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      5 months ago

      I did some digging. It’s a parody finance website that makes it seem like you can invest in falcons and make a blockchain (flockchain) with them. Dig a little further, go to the linked forum, and you’ll see it’s just a community of people shitposting (mostly).

  • EmbarrassedDrum@lemmy.dbzer0.com
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    5 months ago

    and in due time, we’ll hack OpenAI and get the sources from the chat module…

    I’ve seen a few glitches before that made ChatGPT just drop entire articles in varying languages.

  • electricprism@lemmy.ml
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    5 months ago

    Remember what you learned in school: Working as a team to solve a test or problem is unacceptable!!! Unless you are a company town.

  • sunzu2@thebrainbin.org
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    5 months ago

    Yes… but it was MIT that pushed the feds to prosecute.

    Never forge to name the proper perp.

    Disgusting. And we subsidize their existence 🤡

    • Prehensile_cloaca @lemm.ee
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      5 months ago

      MIT releases financials and endowment figures for 2024:

      The Institute’s pooled investments returned 8.9 percent last year; endowment stands at $24.6 billion

  • doctortran@lemm.ee
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    5 months ago

    Can we be honest about this, please?

    Aaron Swartz went into a secure networking closet and left a computer there to covertly pull data from the server over many days without permission from anyone, which is absolutely not the same thing as scraping public data from the internet.

    He was a hero that didn’t deserve what happened, but it’s patently dishonest to ignore that he was effectively breaking and entering, plus installing a data harvesting device in the server room, which any organization in the world would rightfully identity as hostile behavior. Even your local library would call the cops if you tried to do that.

    • youmaynotknow@lemmy.ml
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      5 months ago

      Wao, it’s not often we get to see someone posting a comment so full of shit while making sure to obscure many facts to see if it sticks.

      “Can we be honest”? Apparently you cannot.

    • Venia Silente@lemm.ee
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      5 months ago

      Why don’t you speak what you truly believe instead of copy-pasting the same gaslighting everywhere? We already made you, anyway.

    • TheDoctor [they/them]@hexbear.net
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      5 months ago

      You left out the part where, instead of telling him to knock it off as soon as they learned about it and disciplining him internally as a student, the school contacted law enforcement and allowed him to continue doing it so they could prosecute him harder make an example out of him. You’d think if he was as big of a threat as you’re implying, they would stop what he was doing ASAP. And if you’re going to be pedantic about leaving out details, maybe tell the whole thing. Maybe it’s not “honest” enough if we haven’t posted the full text of a documentary in a comment. That’s clearly your call.