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Cake day: June 15th, 2023

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  • ClamDrinker@lemmy.worldtoTechnology@lemmy.world*Permanently Deleted*
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    2 months ago

    Plagiarism is not the same as copyright infringement. Why you think people probably plagiarize is doubly irrelevant then.

    I never claimed it was, but as I said before, it is irrelevant because copyright infringement differs in places depending on the local laws, but plagiarism is usually the concept that guides the ethical position from which those laws are produced, which is why yes, it’s relevant.

    Show me literally any example of the defendant’s use of “analysis” having any impact whatsoever in a copyright infringement case or a law that explicitly talks about it, or just stop repeating that it is in any way relevant to copyright.

    This is an unreasonable request, and you know it to be. Again, we don’t share the same laws and different jurisdictions provide different exceptions like fair use, fair dealing, or just straight up exclusion from copyright for their use. But it is wholly besides my argument. You can look at any piece of modern media that exists in the same space and see ideas the two share, while not sharing the same expression of that idea. How some characters fulfill the same purpose, dress the same way, or have similar personalities. You are free to make a book with a plumber, a mustached man, someone wearing a red hat with the letter M on it, and someone that goes to save a princess from a castle, but if they’re not the same person they are most likely not considered to be the protected expression of Mario. Same ideas that make up Mario, one infringing, the other not.

    Nobody goes to court over this because EVERYONE takes each others ideas, “Good artists copy, great artists steal”. It’s only when you step on the specific expression of an idea that it becomes realistically actionable, and at that point transformativeness is definitely discussed almost every single time, because it is critical to determining the copyright was actually infringed, or if not.

    Wrong. The “all together” and “without adding new patterns” are not legal requirements. You are constantly trying to push the definition of copyright infringement to be more extreme to make it easier for you to argue.

    I’m sorry but, are you really being this dishonest? I’ve mentioned EXPLICITLY in my last comment that I wasn’t giving a definition of copyright infringement, because it’s besides the point, and not what I’m claiming. Yet here you are saying I am “trying to push” a definition. We are not lawyers or law scholars speaking to each other, I am having a discussion with you as another anonymous person on a message board.

    Unfortunately, an AI has no concept of ideas, and it simply encodes patterns, whatever they might happen to be.

    You are just arguing semantics and linguistics, it’s meaningless. We are not talking technical specifics, not even a specific model, nor a specific technique to specific exactly how the information is encoded. It’s a rough concept of “ideas” / “data” / “patterns”: information. And AI definitely has that.

    Again, you’re morphing the discussion to make an argument.

    You mean, I’m making an argument. Because yes. I am. I don’t see why this negative framing is necessary nor why this is noteworthy enough to bring up, unless you really just want to make me look bad for no apparent reason.

    Mario’s likeness has to be encoded into the model in some way. Otherwise, this would not have been the image generated for “draw an italian plumber from a video game”. There is absolutely nothing in the prompt to push GPT-4 to combine those elements. There are also no “new” patterns, as you put it. That’s exactly the point of the article. As they put it:

    Yes, there is some idea/pattern of “Mario-ness” in the model, I said that. This was not me trying to say no material of Mario was used in training, but that it’s not like someone pasted direct images of Mario in there, but that AI models makes logical connections between concepts and even for things we cannot put a good name to does it make those connections, and will allow you to prompt for them, but that does not mean you should.

    Clearly, these models did not just learn abstract facts about plumbers—for example, that they wear overalls and carry wrenches. They learned facts about a specific fictional Italian plumber who wears white gloves, blue overalls with yellow buttons, and a red hat with an “M” on the front.

    These are not facts about the world that lie beyond the reach of copyright. Rather, the creative choices that define Mario are likely covered by copyrights held by Nintendo.

    I sort of already explained this without mentioning this specific example, but I’ll make it extra clear.

    In the article they prompted the AI for a “video game Italian plumber”. What person, if you asked them, to think of an “Italian video game plumber”, would not think of Mario? Maybe Luigi? I’ll tell you, because there are very damn few famous Italian video game plumbers. The prompt is already locked in on Mario, and even humans make the logical connection to Mario. It might have had billions of images and texts to use, but any time a relation to an “Italian video game plumber” showed up, there’s Mario.

    So this whole point the article makes about it not learning abstract facts about plumbers, is complete moot because they completely biased the outputs towards receiving what they want to receive. If you ask for just a plumber, for which it does have many, many results. It will make more generalizations and become less specific. Because there are more than 2 examples of plumbers in other types of situations. Humans do this exact same thing in the same task, yet somehow the AI must be infallible to this despite being artificial versions of the biological thing. And that is why analysis is protected, because humans simply cannot stop doing it and everyone is tainted by their knowledge of Mario, even though for whatever reason we might need to use one of the ideas Mario is built upon. And this is why AIs use this same defense. I can say this regardless of the jurisdiction because unless you live in some kind of dictatorship this is generally true.

    Sadly, this kind of deceptive framing of AI output is common, particularly among those that are biased against AI. Sometimes it’s unintentional, but frequently specific parameters are used that will just generate specific bad results, ignoring that this may not even represent 0.001% of what the model can generate in normal situations.

    This is contradictory to how you present it as “taking ideas”.

    It is not. You can use the idea of Mario, you cannot use the totality of Mario. For the AI to be able to use the idea of Mario, it will also ‘learn’ the totality of Mario in the process, as Mario is a collection of ideas that are extracted. But those ideas are stored separately so they can be individually prompted for. You can prompt it to make Mario, because like literally almost every person in society, they know what ideas make up Mario better than I can put to words here. If I hire a human artist to make me a “video game Italian plumber”, their first question to me would be “Oh, something like Mario?” and their second response will be “Oh I can’t do that, and you should not want to, because you don’t own Mario.”. Humans use AI, so they need to be the ones to give that second response.

    Just like a kitchen knife can be used to stab someone, doesn’t mean we produce kitchen knives for stabbing people. Just because an AI can be used to infringe, does not mean that they are produced to infringe. Which is evidence by the vast majority of other ways that it can be used that don’t infringe, which is self evident after just tinkering around with it for a little while.

    You’re mixing up different things. I’m saying that the image contains infringing material, which is hopefully not something you have to be convinced about. The production of an obviously infringing image, without the infringing elements having been provided in the prompt, is used to show how this information is encoded inside the model in some form. Whether this copyright-protected material exists in some form inside the model is not an equivalent question to whether this is copyright infringement. You are right that the courts have not decided on the latter, but we have been talking about the former. I repeat your position which I was directly responding to before:

    If it’s anything like the examples before, then the AI has definitely been prompted by the user to make infringing elements.

    But anyways, to the question, you just don’t seem to grasp that collections of ideas can communicate copyright infringing material without being infringing on their own. It’s like arguing that if Paint or Photoshop knows about the color red that this is copyright infringing because it’s the same red that Mario uses. None of the ideas that make up Mario are infringing, and cannot be copyrighted. They are what the AI is designed to extract, not Mario as a totality.

    You can definitely use AI to make an infringement machine by making it less likely to make leaps in ideas and just only combine the ideas it’s been taught on, which we as humans can do as well in the form of plagiarism and forgery. But if you’re going to be unethical why use an AI when you might as well just take the easy route directly with print screen or a photo. Two other technologies we didn’t ban for having this ability to capture copyrighted material, even if they far more blatantly copy the material.

    This is where good AI usage deviates, because it instead tries to MAXIMIZE the amount of leaps and connections the AI makes for as little possibility to make something infringing. Even honest people trying to make new creative works sometimes have to change things because they might be too close to being infringing.


  • ClamDrinker@lemmy.worldtoTechnology@lemmy.world*Permanently Deleted*
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    2 months ago

    That was your implied argument regardless of intent.

    I decide what my argument is, thank you very much. Your interpretation of it is outside of my control, and while I might try to avoid it from going astray, I cannot stop it from doing so, that’s on you.

    Completely wrong, which invalidates the point you want to make. “Analysis” and “as is” have no place in the definition of copyright infringement. A derivative work can be very different from the original material, and how you created the derivative work, including whether you performed whatever you think “analysis” means, is generally irrelevant.

    I wasn’t giving a definition of copyright infringement, since that depends on the jurisdiction, and since you and I aren’t in the same one most likely, that’s nothing I would argue for to begin with. In the most basic form of plagiarism, people do so to avoid doing the effort of transformation. More complex forms of plagiarism might involve some transformation, but still try to capture the expression of the original, instead of the ideas. Analysis is definitely relevant, since to create a work that does not infringe on copyright, you generally can take ideas from a copyrighted work, but not the expression of those ideas. If a new work is based on just those ideas (and preferably mixes it with new ideas), it generally doesn’t infringe on copyright. It’s why there are so many copycat products of everything you can think of, that aren’t copyright infringing.

    No it detects patterns. You already said it correctly above. And the problem is that some patterns can be copyrighted. That’s exactly the problem highlighted here and here. For copyright law, it doesn’t matter if, for example, that particular image of Mario is copied verbatim from the training data.

    While depending on your definition Mario could be a sufficiently complex pattern, that’s not the definition I’m using. Mario isn’t a pattern, it’s an expression of multiple patterns. Patterns like “an italian man”, “a big moustache”, “a red rounded hat with the letter ‘M’ in a white circle”, “overalls”. You can use any of those patterns in a new non-infringing work, Nintendo has no copyright on any of those patterns. But bring them all together in one place again without adding new patterns, and you will have infringed on the expression of Mario. If you give many images of Mario to the AI it might be able to understand that those patterns together are some sort of “Mario-ness” pattern, but it can still separate them from each other since you aren’t just showing it Mario, but also other images that have these same patterns in different expressions.

    Mario’s likeness isn’t in the model, but it’s patterns are. And if an unethical user of the AI wants to prompt it for those specific patterns to be surprised they get Mario, or something close enough to be substantially similar, that’s on them, and it will be infringing just like drawing and selling a copy of Mario without Nintendo’s approval is now.

    The character likeness, which is encoded in the model because it is in fact a discernible pattern, is an infringement.

    You have absolutely no legal basis to claim they are infringement, as these things simply have not been settled in court. You can be of the opinion that they are infringement, but your opinion isn’t the same as law. The articles you showed are also simply reporting and speculating on the lawsuits that are pending.


  • ClamDrinker@lemmy.worldtoTechnology@lemmy.world*Permanently Deleted*
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    2 months ago

    That’s a very short example, but it is a new arrangement of the existing information. It’s not a new valuable arrangement of information, but new nonetheless. And yes, rearrangement is transformation. It’s very low entropy transformation, but transformation nonetheless. Collages and summaries are in fact, a thing that humans make too.

    Unless you mean “new” as in, something nobody’s ever written before, in which case not even you can create new information, since pretty much everything you will ever say or write down can be broken down into pieces that have been spoken or written before, which is not exactly a useful distinction.

    There’s no transformation, it’s not capable of transformation, it’s just a very complicated text jumbler that’s supposed to jumble text so that the output is readable by humans.

    Saying it doesn’t make it true, especially when you follow it up with a self-debunk by saying it transforms the text by jumbling it in specific ways that keep it readable to humans, which requires transformation as like you just demonstrated, randomly swapping words does not make legible text…

    You’re taking investment advice from a parrot that had the entirety of reddit investment meme subreddits beamed into its brain.

    ???


  • ClamDrinker@lemmy.worldtoTechnology@lemmy.world*Permanently Deleted*
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    2 months ago

    No, not what I said at all. If you’re trying to say I’m making this argument I’d urge you (ironically) to actually analyze what I said rather than putting words in my mouth ;) (Or just, you know, ask me to clarify)

    Copyright infringement (or plagiarism) in it’s simplest form, as in just taking the material as is, is devoid of any analysis. The point is to avoid having to do that analysis and just get right to the end result that has value.

    But that’s not what AI technology does. None of the material used to train it ends up in the model. It looks at the training data and extracts patterns. For text, that is the sentence structure, the likelihood of words being followed by another, the paragraph/line length, the relationship between words when used together, and more. It can do all of this without even ‘knowing’ what these things are, because they are simply patterns that show up in large amounts of data, and machine learning as a technology is made to be able to detect and extract those patterns. That detection is synonymous with how humans do analysis. What it detects are empirical, factual observations about the material it is shown, which cannot be copyrighted.

    The resulting data when fed back to the AI can be used to have it extrapolate on incomplete data, which it could not do without such analysis. You can see this quite easily by asking an AI to refer to you by a specific name, or talk in a specific manner, such as a pirate. It ‘understands’ that certain words are placeholders for names, and that text can be ‘pirateitfied’ by adding filler words or pre/suffixing other words. It could not do so without analysis, unless that exact text was already in the data to begin with, which is doubtful.


  • ClamDrinker@lemmy.worldtoTechnology@lemmy.world*Permanently Deleted*
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    2 months ago

    Yes, this is my exact issue with some framing of AI. Creative people love their influences to the point you can ask them and they will point to parts that they reference or nudged to an influence they partially credit to getting to that result. It’s also extremely normal that when you make something new, you brainstorm and analyze any kind of material (copyrighted or not) you can find that gives the same feelings you desire to create. As is ironically said to give comfort to starting creatives that it’s okay to be inspired by others: “Good artists copy, great artists steal.”

    And often people very anti AI don’t see an issue with this, yet it is in essence the same as the AI does, which is to detach the work from the ideas it was built on, and then re-using those ideas. And just like anyone who has the ability to create has the ability to plagiarize or infringe, so does the AI. As human users of AI we must be the ones to ethically guide it away from that (Since it can’t do that itself), just like you would not copy-paste your influences into a new human made work.


  • For OpenAI, I really wouldn’t be surprised if that happened to be the case, considering they still call themselves “OpenAI” despite being the most censored and closed source AI models on the market.

    But my comment was more aimed at AI models in general. If you are assuming they indeed used non-publicly posted or gathered material, and did so directly themselves, they would indeed not have a defense to that. Unfortunately, if a second hand provided them the data, and did so under false pretenses, it would likely let them legally off the hook even if they had every ethical obligation to make sure it was publicly available. The second hand that provided it to them would be the one infringing.

    If that assumption turns out to be a truth (Maybe through some kind of discovery in the trial), they should burn for that. Until then, even if it’s a justified assumption, it’s still an assumption, and most likely not true for most models, certainly not those trained recently.


  • ClamDrinker@lemmy.worldtoTechnology@lemmy.world*Permanently Deleted*
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    2 months ago

    They are not “analyzing” the data. They are feeding it into a regurgitating mechanism. There’s a big difference. Their defense is only “good” because AI is being misrepresented and misunderstood.

    I really kind of hope you’re kidding here. Because this has got to be the most roundabout way of saying they’re analyzing the information. Just because you think it does so to regurgitate (which I have yet to see any good evidence for, at least for the larger models), does not change the definition of analyzing. And by doing so you are misrepresenting it and showing you might just have misunderstood it, which is ironic. And doing so does not help the cause of anyone who wishes to reduce the harm from AI, as you are literally giving ammo to people to point to and say you are being irrational about it.


  • ClamDrinker@lemmy.worldtoTechnology@lemmy.world*Permanently Deleted*
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    2 months ago

    You say it’s not capable of producing anything new, but then give an example of it creating something new. You just changed the goal from “new” to “valid” in the next sentence. Looking at AI for “valid” information is silly, but looking at it for “new” information is not. Humans do this kind of information mixing all the time. It’s why fan works are a thing, and why most creative people have influences they credit with being where they are today.

    Nobody alive today isn’t tainted by the ideas they’ve consumed in copyrighted works, but we do not bat an eye if you use that in a transformative manner. And AI already does this transformation much better than humans do since it’s trained on that much more information, diluting the pool of sources, which effectively means less information from a single source is used.



  • ClamDrinker@lemmy.worldtoTechnology@lemmy.world*Permanently Deleted*
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    2 months ago

    Not 1:1, overfitted images still have considerable differences to their original. If you chose “reproduce” to make that point, that’s why OP clarified it wasn’t literally copying training data, as the actual data being in the model would be a different story. Because these models are (in simplified form) a bunch of really complex math that produces material, it’s a mathematical inevitability that it produces copyrighted material, even for calculations that weren’t created due to overfitting. Just like infinite monkeys on infinite typewriters will eventually reproduce every piece of copyrighted text.

    But then I would point you to the camera on your phone. If you take a copyrighted picture with that, you’re still infringing. But was the camera created with the intention to appropriate material captured by the lens? Which is why we don’t blame the camera for that, we blame the person that used it for that purpose. AI users have an ethical obligation not to steer the AI towards generating infringing material.


  • ClamDrinker@lemmy.worldtoTechnology@lemmy.world*Permanently Deleted*
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    2 months ago

    Although I’m a firm believer that most AI models should be public domain or open source by default, the premise of “illegally trained LLMs” is flawed. Because there really is no assurance that LLMs currently in use are illegally trained to begin with. These things are still being argued in court, but the AI companies have a pretty good defense in the fact analyzing publicly viewable information is a pretty deep rooted freedom that provides a lot of positives to the world.

    The idea of… well, ideas, being copyrightable, should shake the boots of anyone in this discussion. Especially since when the laws on the book around these kinds of things become active topic of change, they rarely shift in the direction of more freedom for the exact people we want to give it to. See: Copyright and Disney.

    The underlying technology simply has more than enough good uses that banning it would simply cause it to flourish elsewhere that does not ban it, which means as usual that everyone but the multinational companies lose out. The same would happen with more strict copyright, as only the big companies have the means to build their own models with their own data. The general public is set up for a lose-lose to these companies as it currently stands. By requiring the models to be made available to the public do we ensure that the playing field doesn’t tip further into their favor to the point AI technology only exists to benefit them.

    If the model is built on the corpus of humanity, then humanity should benefit.



  • People differentiate AI (the technology) from AI (the product being peddled by big corporations) without making clear that nuance (Or they mean just LLMs, or they aren’t even aware the technology has a grassroots adoption outside of those big corporations). It will take time, and the bubble bursting might very well be a good thing for the technology into the future. If something is only know for it’s capitalistic exploits it’ll continue to be seen unfavorably even when it’s proven it’s value to those who care to look at it with an open mind. I read it mostly as those people rejoicing over those big corporations getting shafted for their greedy practices.


  • First of all, I understand your point of view. And I’ve been looking at artists being undervalued like your potential client for decades, before AI was even a thing. So I definitely feel you on that point, and I wish it would be different. That said, here’s my response. (It’s a bit long, so I put it in spoiler tags)

    I told him he wasn’t looking for a composer, but rather a programmer or something

    spoiler

    Yes, but maybe also no. Do you use computer software to compose or assist you in composing? Like FL Studio, Audacity? Or maybe you use a microphone to record the played version of your composition?

    I know maybe one or two composers, and they wouldn’t go without that while I worked with them. But I’m sure you can agree using those things does not make you a programmer. It just takes a composer with a more technical mindset and experience with those tools. I don’t deny there are composers that do without it, and maybe you are one of them. If so, rock on, but I’m sure you can see using computer tools does not stop you from being a composer, it just enhances it. Now if you were to never learn anything about composing and just use AI blindly, then I would agree with you.

    But AI in that manner is no different, and like those other pieces of software it still requires expertise to make something actually good. However, judging from the manner your client spoke to you, I think the issue wasn’t that you weren’t making good music, it’s that you were making too expensive music for the value he wanted to derive from it. That’s sadly how the free market goes, and I agree that it has disproportionately screwed over artists because their work gets systematically undervalued. However, AI is not the cause of that, it merely made it more apparent, and it will not stop with the next thing after AI, unless we tackle it at the root cause by giving artists better protections that don’t end up empowering the same people that undervalue them, which is really quite nuanced to get right and the current system we have already makes it worse than it is. This is what I fight for instead.

    _

    I could also tell you about the written assignments that students hand in, and for which I can identify in less than 30 seconds which ones have been produced by AI (students overreact to their writing skills, it’s often laughable).

    spoiler

    Students are probably the worst example of this though. Because that’s basically what students are known for before AI was even a thing. The average student has no conception or feeling yet of what has artistic value or not, and most will not go into creative fields. Students used to hand in fully plagiarized works they just downloaded or took from other students, and it is indeed laughable for anyone that actually wants to make it somewhere in their field. So yes, if that’s the majority of AI produced works you’ve encountered I can totally understand your point of view, but I implore you to broaden your horizon to people that actually work in the field. Those that already have built up the artistic mindset.

    _

    As I tell them, those who have used chatgpt have “learned” to use AI, those who have done the work have learned to carry out research, to synthesize their ideas and to structure, articulate and present them.

    spoiler

    But these people have not learned how to proficiently use AI, just very shallowly. They have learned how to be lazy. Which mind you, is the same laziness that you learn from plagiarizing directly. This has literally been the reality of people growing up for the entirety of human existence. You’re right that the ones that did go through the effort learned more, but that does not mean they could not also value from enhancing that process with other tools. And you wouldn’t even know the ones that did. Because they will not hand in something that looks like it came directly out of ChatGPT. They might have only used it for brainstorming, or proof reading, or to make a boring passage more entertaining. Someone who understands why their own effort and sense of ownership matters would never just hand in something they had zero say in, that’s what lazy people do. And we have no shortage of those.

    A small subset of your students will go the extra mile, and realize that they need to get better themselves to produce things with more artistic value. They too will see what AI can help them with, and what it can’t. Some students that are lazy now will eventually see the light too, and realize that they’re lacking behind. That’s life - maturity takes time to develop.

    But just because lazy people can play the guitar by randomly stroking the strings, doesn’t mean a competent guitar player can’t create an incredibly intricate banger with the same guitar. AI is no different.

    _

    One last thing. As far as innovation is concerned, AI can endlessly produce pieces that sound like Bach, but it took Bach to exist in the first place, and Glenn Gould to revolutionize the interpretation of his scores for this to be possible.

    spoiler

    You’re right that AI requires existing material. But you said it yourself. Glenn Gould would not be able to make his work without Bach. And just like that Bach has inspirations that would mean Bach as we know him would not exist without those. And if paper did not exist, Bach could not write down his pieces for us to remember now and learn from. In the same way, an artists of any kind in the future will not exist without their influences and tools, of which AI could be one.

    AI can indeed produce endless pieces that sound like Bach, but only a human could use AI to produce a piece that has evokes feelings, passion, thoughts - anything to be considered to be real art. A machine cannot produce the true definition of art on it’s own, but it can be invoked by an artists to do work in furtherance of their art. Because it takes a creative mind to be able to spot, transform, extend, and also know when to discard, what an AI has produced. Just like we discard sources we perceive as low in value, and sources that are high in value we take as inspiration.

    _

    EDIT: Just want to add to this:

    I have no interest in replacing this practice by entering prompts into an algorithm, even if I could make easy money from it.

    That’s not something anyone should do. Because that’s not using it as a tool. That’s making it the entire process. That’s not the kind of AI usage I’m advocating for either. And you’re free to forego AI completely. Just like there are probably some instruments you never use, or some genre you never visit. I don’t like taking the easy way either, that’s why I make creative stuff as a living too. If I just wanted money I would go elsewhere too.


  • Again - if this is your argument - then the vast majority of things humans do would be “pushing down harder on the gas pedal”. Excluding AI, more people get born every year, water usage also increases every year, electricity usage too. Even if you got rid of all AI right now you would have to overcome those much more significant increases to make a difference. It just doesn’t even make a dent. And it has to, if you want it to actually reduce the impact of climate change and resource depletion.

    The world does not stand still, even if we did everything we should to stop climate change. Technology that can change the world and facilitates happier, healthier humans is not a bad thing for a reasonable price. And as I just explained in detail, that price is not that significant in the grand scheme of things. Hence why there is no significant public outrage from this.

    If you’re going to hold this position, you should really stick to the biggest polluters, which as you agree, are not getting enough pushback. I agree with that as well, and I would happily stand by your side here. But if someone is handing out pie, and you think everyone should be angry at someone taking 0.00532% of the pie, that is horribly ineffective at actually getting the change we need. Since basically nobody reasonable is going to agree with you. While for the larger polluters it is easily self evident they need it, and we still have a lot of trouble with that.

    And Sam Altman went to the emirates asking for Trillions to scale LLMs. All of this for a little more convenience when tackling mostly mundane tasks.

    I don’t know how many times I have to say this, but I don’t like the big tech companies use of AI. That does not say anything about the technology at large though. Screw OpenAI and Sam Altman. If your criticism is purely aimed at wasteful conduct by big companies, I’m all there with you. But there are so many smaller companies that also use AI and LLMs.