• halcyoncmdr@lemmy.world
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    2 months ago

    You know guys, I’m starting to think what we heard about Altman when he was removed a while ago might actually have been real.

    /s

  • N0body@lemmy.dbzer0.com
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    There’s an alternate timeline where the non-profit side of the company won, Altman the Conman was booted and exposed, and OpenAI kept developing machine learning in a way that actually benefits actual use cases.

    Cancer screenings approved by a doctor could be accurate enough to save so many lives and so much suffering through early detection.

    Instead, Altman turned a promising technology into a meme stock with a product released too early to ever fix properly.

    • patatahooligan@lemmy.world
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      No, there isn’t really any such alternate timeline. Good honest causes are not profitable enough to survive against the startup scams. Even if the non-profit side won internally, OpenAI would just be left behind, funding would go to its competitors, and OpenAI would shut down. Unless you mean a radically different alternate timeline where our economic system is fundamentally different.

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        I mean wikipedia managed to do it. It just requires honest people to retain control long enough. I think it was allowed to happen in wikipedia’s case because the wealthiest/greediest people hadn’t caught on to the potential yet.

        There’s probably an alternate timeline where wikipedia is a social network with paid verification by corporate interests who write articles about their own companies and state-funded accounts spreading conspiracy theories.

      • Petter1@lemm.ee
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        There are infinite timelines, so, it has to exist some(wehere/when/[insert w word for additional dimension]).

      • mustbe3to20signs@feddit.org
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        2 months ago

        AI models can outmatch most oncologists and radiologists in recognition of early tumor stages in MRI and CT scans.
        Further developing this strength could lead to earlier diagnosis with less-invasive methods saving not only countless live and prolonging the remaining quality life time for the individual but also save a shit ton of money.

        • T156@lemmy.world
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          That is a different kind of machine learning model, though.

          You can’t just plug in your pathology images into their multimodal generative models, and expect it to pop out something usable.

          And those image recognition models aren’t something OpenAI is currently working on, iirc.

          • mustbe3to20signs@feddit.org
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            2 months ago

            I’m fully aware that those are different machine learning models but instead of focussing on LLMs with only limited use for mankind, advancing on Image Recognition models would have been much better.

            • Grandwolf319@sh.itjust.works
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              2 months ago

              I agree but I also like to point out that the AI craze started with LLMs and those MLs have been around before OpenAI.

              So if openAI never released chat GPT, it wouldn’t have become synonymous with crypto in terms of false promises.

          • Grandwolf319@sh.itjust.works
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            2 months ago

            Not only that, image analysis and statistical guesses have always been around and do not need ML to work. It’s just one more tool in the toolbox.

          • Petter1@lemm.ee
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            Fun thing is, most of the things AI can, they never planned it to be able to do it. All they tried to achieve was auto completion tool.

          • TFO Winder@lemmy.ml
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            Don’t know about image recognition but they released DALL-E , which is image generating and in painting model.

        • msage@programming.dev
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          Wasn’t it proven that AI was having amazing results, because it noticed the cancer screens had doctors signature at the bottom? Or did they make another run with signatures hidden?

          • mustbe3to20signs@feddit.org
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            There were more than one system proven to “cheat” through biased training materials. One model used to tell duck and chicken apart because it was trained with pictures of ducks in the water and chicken on a sandy ground, if I remember correctly.
            Since multiple medical image recognition systems are in development, I can’t imagine they’re all this faulty trained with unsuitable materials.

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              They are not ‘faulty’, they have been fed wrong training data.

              This is the most important aspect of any AI - it’s only as good as the training dataset is. If you don’t know the dataset, you know nothing about the AI.

              That’s why every claim of ‘super efficient AI’ need to be investigated deeper. But that goes against line-goes-up principle. So don’t expect that to happen a lot.

    • Petter1@lemm.ee
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      2 months ago

      Or we get to a time where we send a reprogrammed terminator back in time to kill altman 🤓

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    Putting my tin foil hat on… Sam Altman knows the AI train might be slowing down soon.

    The OpenAI brand is the most valuable part of the company right now, since the models from Google, Anthropic, etc. can beat or match what ChatGPT is, but they aren’t taking off coz they aren’t as cool as OpenAI.

    The business models to train & run models is not sustainable. If there is any money to be made it is NOW, while the speculation is highest. The nonprofit is just getting in the way.

    This could be wishful thinking coz fuck corporate AI, but no one can deny AI is in a speculative bubble.

    • somethingsnappy@lemmy.world
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      Take the hat off. This was the goal. Whoops, gotta cash in and leave! I’m sure it’s super great, but I’m gone.

        • frunch@lemmy.world
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          It honestly just never occurred to me that such a transformation was allowed/possible. A nonprofit seems to imply something charitable, though obviously that’s not the true meaning of it. Still, it would almost seem like the company benefits from the goodwill that comes with being a nonprofit but then gets to transform that goodwill into real gains when they drop the act and cease being a nonprofit.

          I don’t really understand most of this shit though, so I’m probably missing some key component that makes it make a lot more sense.

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            A nonprofit seems to imply something charitable, though obviously that’s not the true meaning of it

            Life time of propaganda got people confused lol

            Nonprofit merely means that their core income generating activities are not subject next to the income tax regimes.

            While some non profits are charities, many are just shelters for rich people’s bullshit behaviors like foundations, lobby groups, propaganda orgs, political campaigns etc

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      If you can’t make money without stealing copywritten works from authors without proper compensation, you should be shut down as a company

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      ai is such a dead end. it can’t operate without a constant inflow of human creations, and people are trying to replace human creations with AI. it’s fundamentally unsustainable. I am counting the days until the ai bubble pops and everyone can move on. although AI generated images, video, and audio will still probably be abused for the foreseeable future. (propaganda, porn, etc)

      • kippinitreal@lemmy.world
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        That is a good point, but I think I’d like to make the distinction of saying LLM’s or “generic model” is a garbage concept, which require power & water rivaling a small country to produce incorrect results.

        Neural networks in general that can (cheaply) learn on their own for a specific task could be huge! But there’s no big money in that, since its not a consolidated general purpose product tech bros can flog to average consumers.

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    I’m confused, how can a company that’s gained numerous advantages from being non-profit just switch to a for-profit model? Weren’t a lot of the advantages (like access to data and scraping) given with the stipulation that it’s for a non-profit? This sounds like it should be illegal to my brain

    • berno@lemmy.world
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      Careful you’re making too much sense here and overlapping with Elmo’s view on the subject

    • ipkpjersi@lemmy.ml
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      I’m confused, how can a company that’s gained numerous advantages from being non-profit just switch to a for-profit model

      Money

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        Money doesn’t have any advantages in other countries? When did that happen?

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              the person that you’re replying to said something that’s true about the USA. they didn’t say anything about other countries.

              for another example, i can say “if you’re in the USA, then the current year is 2024” and that statement will be true. it is also true in every other country (for the moment), but that’s besides the point.

              • TachyonTele@lemm.ee
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                And I replied that it’s also true in other countries, it’s not a problem only the US has. It’s not besides the point. It’s acting as if only the US has the problem.

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                  And I specifically mentioned the USA because that’s the country where OpenAI operates and where the events in the article take place, so if someone asks why it’s so easy for OpenAI to go from being a nonprofit to a for-profit company (this was the issue I was responding to, not some general question about whether money has influence around the world), it’s the laws of the USA that are relevant, not the laws of other countries.

    • FatCrab@lemmy.one
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      Their non-profit status had nothing to do with the legality of their training data acquisition methods. Some of it was still legal and some of it was still illegal (torrenting a bunch of books off a piracy site).

    • gencha@lemm.ee
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      These people claimed their product can pass the bar exam (it was a lie). Tells you how they feel about the legal system

  • barnaclebutt@lemmy.world
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    I’m sure they were dead weight. I trust open AI completely and all tech gurus named Sam. Btw, what happened to that Crypto guy? He seemed so nice.

    • dan@upvote.au
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      It’s amusing. Meta’s AI team is more open than "Open"AI ever was - they publish so many research papers for free, and the latest versions of Llama are very capable models that you can run on your own hardware (if it’s powerful enough) for free as long as you don’t use it in an app with more than 700 million monthly users.

      • a9cx34udP4ZZ0@lemmy.world
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        That’s because Facebook is selling your data and access to advertise to you. The better AI gets across the board, the more money they make. AI isn’t the product, you are.

        OpenAI makes money off selling AI to others. AI is the product, not you.

        The fact facebook release more code, in this instance, isn’t a good thing. It’s a reminder how fucked we all are because they make so much off our personal data they can afford to give away literally BILLIONS of dollars in IP.

        • dan@upvote.au
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          Facebook doesn’t sell your data, nor does Google. That’s a common misconception. They sell your attention. Advertisers can show ads to people based on some targeting criteria, but they never see any user data.

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              Selling your data would be stupid, because they make money with the fact that they have data about you nobody else has. Selling it would completely break their business model.

    • RagingRobot@lemmy.world
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      Maybe the digital world. We could always go back to living in the real world I guess.

    • Dkarma@lemmy.world
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      I love how ppl who don’t have a clue what AI is or how it works say dumb shit like this all the time.

      • zbyte64@awful.systems
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        I also love making sweeping generalizations about a stranger’s knowledge on this forum. The smaller the data sample the better!

      • Ragnarok314159@sopuli.xyz
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        There is no AI. It’s all shitty LLM’s. But keep sucking that techbro cheesy balls. They will never invite you to the table.

        • WindyRebel@lemmy.world
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          Honest question, but aren’t LLM’s a form of AI and thus…Maybe not AI as people expect, but still AI?

          • whats_all_this_then@lemmy.world
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            The issue is that “AI” has become a marketing buzz word instead of anything meaningful. When someone says “AI” these days, what they’re actually referring to is “machine learning”. Like in LLMs for example: what’s actually happening (at a very basic level, and please correct me if I’m wrong, people) is that given one or more words/tokens, it tries to calculate the most probable next word/token based on its model (trained on ridiculously large numbers of bodies of text written by humans). It does this well enough and at a large enough scale that the output is cohesive, comprehensive, and useful.

            While the results are undeniably impressive, this is not intelligence in the traditional sense; there is no reasoning or comprehension, and definitely no consciousness, or awareness here. To grossly oversimplify, LLMs are really really good word calculators and can be very useful. But leave it to tech bros to make them sound like the second coming and shove them where they don’t belong just to get more VC money.

            • slackassassin@sh.itjust.works
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              Sure, but people seem to buy into that very buzz wordyness and ignore the usefulness of the technology as a whole because “ai bad.”

              • whats_all_this_then@lemmy.world
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                True. Even I’ve been guilty of that at times. It’s just hard right now to see the positives through the countless downsides and the fact that the biggest application we’re moving towards seems to be taking value from talented people and putting it back into the pockets of companies that were already hoarding wealth and treating their workers like shit.

                So usually when people say “AI is the next big thing”, I say “Eh, idk how useful an automated idiot would be” because it’s easier than getting into the weeds of the topic with someone who’s probably not interested haha.

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    Canceled my sub as a means of protest. I used it for research and testing purposes and 20$ wasn’t that big of a deal. But I will not knowingly support this asshole if whatever his company produces isn’t going to benefit anyone other than him and his cronies. Voting with our wallets may be the very last vestige of freedom we have left, since money equals speech.

    I hope he gets raped by an irate Roomba with a broomstick.

    • eatthecake@lemmy.world
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      Good. If people would actually stop buying all the crap assholes are selling we might make some progress.

    • ipkpjersi@lemmy.ml
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      But I will not knowingly support this asshole if whatever his company produces isn’t going to benefit anyone other than him and his cronies.

      I mean it was already not open-source, right?

  • Chaotic Entropy@feddit.uk
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    The restructuring could turn the already for-profit company into a more traditional startup and give CEO Sam Altman even more control — including likely equity worth billions of dollars.

    I can see why he would want that, yes. We’re supposed to ooo and ahh at a technical visionary, who is always ultimately a money guy executive who wants more money and more executive power.

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      I saw an interesting video about this. It’s outdated (from ten months ago, apparently) but added some context that I, at least, was missing - and that also largely aligns with what you said. Also, though it’s not super evident in this video, I think the presenter is fairly funny.

      https://youtu.be/L6mmzBDfRS4

      • Melatonin@lemmy.dbzer0.com
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        That was a worthwhile watch, thank you for making my life better.

        I await the coming AI apocalypse with hope that I am not awake, aware, or sensate when they do whatever it is they’ll do to use or get rid of me.

        • sunbeam60@lemmy.one
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          You will be kept alive at subsistence level to buy the stuff you’ve been told to buy, don’t worry.

        • toynbee@lemmy.world
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          My pleasure! Glad it helped. Also, I like your username.

          I’m still not sure how much to fear AI, as I’m not knowledgeable on the subject (never even intentionally interacted with one yet) and have seen conflicting reports on how worryingly capable it is. Today I did see this video, which isn’t explicitly about AI but did offer an interesting perspective that could be compared to the paradigm: https://youtu.be/fVN_5xsMDdg

          (Warning, the video was interesting, but I got invested about halfway through when I started comparing it to AI, then was disappointed in the ending)

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    Altman downplayed the major shakeup.

    "Leadership changes are a natural part of companies

    Is he just trying to tell us he is next?

    /s

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      Sam: “Most of our execs have left. So I guess I’ll take the major decisions instead. And since I’m so humble, I’ll only be taking 80% of their salary. Yeah, no need to thank me”

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      The ceo at my company said that 3 years ago, we are going through execs like I go through amlodipine.

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      They always are and they know it.

      Doesn’t matter at that level it’s all part of the game.

    • assassin_aragorn@lemmy.world
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      paid for entirely by venture capital seed funding.

      And stealing from other people’s works. Don’t forget that part

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          When individual copyright violations are considered “theft” by the law (and the RIAA and the MPAA), violating copyrights of billions of private people to generate profit, is absolutely stealing. While the former arguably is arguably often a measure of self defense against extortion by copyright holding for-profit enterprises.

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          Right, it’s only stolen when regular people use copyright material without permission

          But when OpenAI downloads a car, it’s all cool baby

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      Barely usable results?! Whatever you may think of the pricing (which is obviously below cost), there are an enormous amount of fields where language models provide insane amount of business value. Whether that translates into a better life for the everyday person is currently unknown.

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      barely usable results

      Using chatgpt and copilot has been a huge productivity boost for me, so your comment surprised me. Perhaps its usefulness varies across fields. May I ask what kind of tasks you have tried chatgpt for, where it’s been unhelpful?

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        Literally anything that requires knowing facts to inform writing. This is something LLMs are incapable of doing right now.

        Just look up how many R’s are in strawberry and see how chat gpt gets it wrong.

        • boonhet@lemm.ee
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          Okay what the hell is wrong with it

          It took me three times to convince it that there’s 3 r’s in strawberry…

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            Because that’s not how LLMs work.

            When you form a sentence you start with an intent.

            LLMs start with the meaning you gave it, and tries to express something similar to you.

            Notice how intent, and meaning aren’t the same. Fact checking has nothing to do with what a word means. So how can it understand what is true?

            All it did was take the meaning of looking for a number and strawberries and ran it’s best guess from that.

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    I really don’t understand why they’re simultaneously arguing that they need access to copyrighted works in order to train their AI while also dropping their non-profit status. If they were at least ostensibly a non-profit, they could pretend that their work was for the betterment of humanity or whatever, but now they’re basically saying, “exempt us from this law so we can maximize our earnings.” …and, honestly, our corrupt legislators wouldn’t have a problem with that were it not for the fact that bigger corporations with more lobbying power will fight against it.

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    Sounds like another WeWork or Theranos in the making, except we already know the product doesn’t do what it promises.

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      What does it actually promise? AI (namely generative and LLM) is definitely overhyped in my opinion, but admittedly I’m far from an expert. Is what they’re promising to deliver not actually doable?

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        It literally promises to generate content, but I think the implied promise is that it will replace parts of your workforce wholesale, with no drop in quality.

        It’s that last bit that’s going to be where the drama happens

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        They want AGI, which would match or exceed human intelligence. Current methods seem to be hitting a wall. It takes exponentially more inputs and more power to see the same level of improvement seen in past years. They’ve already eaten all the content they can, and they’re starting to talk about using entire nuclear reactors just to power it all. Even the more modest promises, like pictures of people with the correct number of fingers, seem out of reach.

        Investors are starting to notice that these promises aren’t going to happen. Nvidia’s stock price is probably going to be the bellwether.

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        It delivers on what it promises to do for many people who use LLMs. They can be used for coding assistance, Setting up automated customer support, tutoring, processing documents, structuring lots of complex information, a good generally accurate knowledge on many topics, acting as an editor for your writings, lots more too.

        Its a rapidly advancing pioneer technology like computers were in the 90s so every 6 months to a year is a new breakthrough in over all intelligence or a new ability. Now the new llm models can process images or audio as well as text.

        The problem for openAI is they have serious competitors who will absolutely show up to eat their lunch if they sink as a company. Facebook/Meta with their llama models, Mistral AI with all their models, Alibaba with Qwen. Some other good smaller competiiton too like the openhermes team. All of these big tech companies have open sourced some models so you can tinker and finetune them at home while openai remains closed sourced which is ironic for the company name… Most of these ai companies offer their cloud access to models at very competitive pricing especially mistral.

        The people who say AI is a trendy useless fad don’t know what they are talking about or are upset at AI. I am a part of the local llm community and have been playing around with open models for months pushing my computers hardware to its limits. Its very cool seeing just how smart they really are, what a computer that simulates human thought processes and knows a little bit of everything can actually do to help me in daily life.

        Terrence Tao superstar genius mathematician describes the newest high end model from openAI as improving from a “incompentent graduate” to a “mediocre graduate” which essentially means AI are now generally smarter than the average person in many regards.

        This month several comptetor llm models released which while being much smaller in size compared to openai o-1 somehow beat or equaled that big openai model in many benchmarks.

        Neural networks are here and they are only going to get better. Were in for a wild ride.

        • Stegget@lemmy.world
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          2 months ago

          My issue is that I have no reason to think AI will be used to improve my life. All I see is a tool that will rip, rend and tear through the tenuous social fabric we’re trying to collectively hold on to.

          • Smokeydope@lemmy.world
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            2 months ago

            A tool is a tool. It has no say in how it’s used. AI is no different than the computer software you use browse the internet or do other digital task.

            When its used badly as an outlet for escapism or substitute for social connection it can lead to bad consequences for your personal life.

            When it’s used as a tool to help reason through a tough task, or as a step in a creative process, or be of on demand assistance to aid the disabled and neurodivergent, it can improve peoples lives for the better.

            Its about how you choose to interact with it in your personal life, and how society, buisnesses and your governing bodies choose to use it in their own processes. And believe me, they will find ways to use it.

            I think comparing llms to computers in 90s is accurate. Right now only nerds, professionals, and industry/business/military see their potential. As the tech gets figured out, utility improves, and llm desktops start getting sold as consumer grade appliances the attitude will change maybe?

            • exanime@lemmy.world
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              2 months ago

              A tool is a tool.

              That is a miopic view. Sure a tool is a tool, if I take a gun and use it to save someone from getting mugged = good if I use it to mug someone = bad

              But regardless of the circumstance of use, we can all agree that a gun’s only utility is to destroy a living organism.

              You know, I know, everyone here knows, AI will only be used to generate as much profit as possible in the shortest amount of time, regardless of the harm it causes. And right now, the big promise of AI is that it will replace costly human employees, that’s it, that’s all.

              Fortunately, it is really bad and unlikely to achieve this goal

            • AA5B@lemmy.world
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              2 months ago

              A better analogy is search engines. It’s just another tool, but

              • at their best enable your I to find anything from all the worlds knowledge
              • at their worst, are just another way to serve ads and scams, random companies vying for attention, they making any attention is good attention, regardless of what you’re looking for

              When I started as a software engineer, my detailed knowledge was most important and my best tool was the manuals. Now my most important tools are search engines and autocomplete: I can work faster with less knowledge of the syntax and my value is the higher level thought about what we need to do. If my company ever allows AI, I fully expect it to be as important a tool as a search engine.

              • exanime@lemmy.world
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                2 months ago

                Now my most important tools are search engines and autocomplete: I can work faster with less knowledge of the syntax and my value is the higher level thought about what we need to do. If my company ever allows AI, I fully expect it to be as important a tool as a search engine.

                And this is when the cost calculation comes into play. Using a search engine is basically free, using OpenAI for development is tied up with licenses and new hardware.

                So the question will be, are you going to improve efficiency to the point where the cost of the license and new hardware is worth the additional efficiency?

                • AA5B@lemmy.world
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                  2 months ago

                  Currently my company is more concerned with intellectual privacy, security, liability. Of course that means they’ll only allow ai where they can pay for guarantees, and that brings us back to the cost.

        • exanime@lemmy.world
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          2 months ago

          It delivers on what it promises to do for many people who use LLMs.

          Does it though?

          They can be used for coding assistance,

          They promised no programmers needed in 5 years. (well not promised, somebody did say that but not OpenAI staff, I think). The cost of AI both in money and energy use, does not really justify the limited aid it can provide to a programmer. You are never getting enough additional efficiency from said programmer to justify those costs

          Setting up automated customer support,

          Even more hated than when every customer centre moved to India

          tutoring, processing documents, structuring lots of complex information,

          Again, at that cost? the marginal improvement does not add up

          a good generally accurate knowledge on many topics,

          Is it though? if I can only trust it with answers I already know enough to discern whether I am getting bullshit or not, then it’s not worth it. As it it today, I cannot trust it with any search I really do not know the answer to (or can easily verify) as it can be throwing complete bullshit at me and I would have no way of knowing either.

          acting as an editor for your writings, lots more too.

          Again? you mentioned the processing docs already… but again I tell you, who will pay the heavy costs just so internal memos are written slightly better? and everything your company sends out would have to be reviewed as you do not want AI promising something you cannot deliver via hallucination

          • Bongles@lemm.ee
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            2 months ago

            You keep mentioning cost, and in the grand scale of “there’s no such thing as a free lunch” there’s a large cost but for users, they’re just paying for a license from Microsoft to have copilot in their visual studio software or in M365 apps, etc.

            So for helping with development, it’s really not that expensive for the users. Also, “they” make lots of ridiculous claims, and i don’t know who said it, but no developers in 5 years is a wild claim that no one should’ve thought was real.

            • exanime@lemmy.world
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              2 months ago

              It’s expensive enough my employer (of more than 2000) decided to only trial it with a small subset of seniors. It’s not just the license, it comes tied up with new hardware

              So far nobody likes it. Most people use it to summarize meetings and we just got a memo saying we need to review the summaries because it keeps missing important data

              Having said all that, when I mentioned the cost, I was referring to the cost of training the models. And without a proper business plan to monetize it, it’s is still unclear how this version of AI could be actually sold for profit.

              Remember that cost, is not just a number. It’s the number in relationships with the benefit it provides.

              For OpenAI, it has yet to produce profit that is not just venture capital and for us as user (us, I cannot speak for everyone) it has not saved us a dime after getting expensive hardware and licenses

              Oh and for the final point. True, openAI may not have been the one to say no programmers in five years although, replacing people has always been their angle. But by now we have seen OpenAI play so fast and loose with all their claims and benchmarks, we cannot believe a word they say (which you seem to do and keep on posting here).

              • Bongles@lemm.ee
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                2 months ago

                (which you seem to do and keep on posting here)

                I’ve only made the comment you’re replying to. I’m not whoever you’re thinking.