Yeah, you know that episode where Homer does pranks for Mr Burns and goes in and buys a no 1 spiderman from the comic book guy and eats it in front of him. That's how most people feel about book destruction. Nothing legally wrong, but disgusting nonetheless.
It works for them not scraping their own slop back into training data. I assume that is actually the real purpose of the system. They don't want to share the key with the public. But they probably will with other llm companies in exchange for theirs.
My tinfoil head tells me they don't want to ingest their own slop for training. But this only helps them if others do the same. Data poisoning is a real problem for llm future.
This won't work - you can always use a dumber, open model to rephrase and remove the watermark. All this does is marketing for anthropic, which I see most people are buying. Gives you a false impression you will easily be able to figure out if it's done by AI, which it is not. Liars are still gonna lie, cheaters still gonna cheat.
Given they have not released 27b or any smaller model with Qwen3.7, I'm not holding my breath for 3.8. They also haven't said anything public about it.
I think it's mostly because it's a long post in which you're making them read a large amount of AI slop :). The surprising part I don't think is a particularly good argument against your post and I'm sorry I also mentioned it. It is unsurprising to me, but the problem is there are a lot of people which DO find it surprising. But where I think you got it wrong is focus on you generating your particular misinformation and sharing it. A much stronger argument would be if LLM would share it by itself, unprompted. Like that time chatgpt was obsessed with goblins. Imagine if instead it was obsessed with antisemitism or something similar.
I agree with most others that said that this is hardly a surprise. But there are still interesting aspects of your post worth discussing instead. First, more obvious one. What if I am delusional and go to talk to AI? Doesn't have to be this absurd, but there are already examples of this, like that guy that killed his mother because he believed she was a spy. Perhaps he was already delusional, but an LLM fed his delusion. Because LLMs aren't reasonable, they can't be made reasonable, and so any guardrails cannot be made to guard against all situation that reasoning is needed for. At the very least people need to be educated on what LLMs can and can't do and how they do it. I would even argue against guardrails, as they provide people with false sense of security.
Second, but less obvious point, related to the discussion - is the influence of training data and how training data is framed on what the LLM will say. Someone posted the response of a different LLM refusing to entertain the delusion. This is all done by manipulating the training data and framing it in a way a company making it wants. If the company wants its chatbot to be seductive, for example, that can be achieved with subtle preprocessing of training data. The point I want to get is we need to trust the companies with what narrative they want to push be good for society which is obviously a terrible idea. Just look at musks AI and what it did. This influences people whether we notice or not.
To sum up - we need heavy regulations on LLMs to make socially responsible use of them and not just how they can/can't be used, but also how they are trained, with what data and with what rhetorical goal (for the lack of better word).
Don't know if you're aware, but there is a video om yt about aircrete, which is a diy process of mixing concrete with xsantan gum introducing air bubbles. It has better heat insulating properties and may be more safe. Ive not tried it, but will experiment in the future. https://youtu.be/z4_GxPHwqkA
So AI is whatever makes you right and me wrong, basically? Of course the ones responsible are the people building products based on AI. Nobody is arguing LLMs themselves are evil. What I'm talking about are massive datacenters built overly fast so that they need to use evaporative cooling and micro-turbines is an utterly irresponsible use of that technology. It's like rushing to build a faster car than China and so you don't install brakes and your cars start killing everyone on the streets. Of course a car isn't evil, it's the people irresponsibly designing them. AI tech is constantly doing propaganda fear mongering that if you don't use their product RIGHT NOW - you're getting left behind. If you don't integrate them in your business RIGHT NOW, you're gonna get overrun by competition. And the product is not nearly as reliable as they push it and not nearly as powerful as they claim. It's a universal tool that is inefficient at any specific, specialized task. In fact, it's painfully INEFFICIENT. But you and I wouldn't know it, because nobody is publishing exactly how much it costs to run and how much they are subsidizing the use of it. The technology is useful, even revolutionary, but the way it's overwhelmingly being used right now is bullshit. This way is not sustainable, not profitable and will end up costing the entire world. That's what's gonna happen. The technology will stick and people will find best uses for it and start paying attention about its use. But I doubt it will survive in this current form.
Dude, USA affects all of the world already in a very significant way. Western world especially. While the decay of American imperialism is something a lot of us would like to see, it will, in the short term affect everyone negatively. The USA will not go out without a fight. Already, people across the world suffer because of it. It is precisely because of the USA and their economy. Economy, which is undoubtedly, by their own accounts, dominated by the AI tech industry. So, although indirectly, people outside the USA are negatively impacted by the AI. Not to mention direct impact it has (military literally being driven by AI).
This might be thermistor losing contact with the block or wires losing contact. It can also be the heater wires losing contact somewhere. To diagnose, you can try and wiggle the wires when you preheat the hotend and watch the temps. Then you will know what needs replacing. I once had a thermistor that was faulty, I replaced it, the problem went away.
Are you me? Cause I have exactly the same setup. Navidrome, tailscale, the whole thing. I also use strawberry. It's OK but a bit basic. I recently tried Nocturne for desktop, looks promising, but still somewhat buggy.
True, People can be obnoxious. But you should still try it at some point, there is something to the hype.
Specifically, they mentioned Poplars and Willows. Perhaps more, but I hit the paywall, couldn't read the whole thing.
Didn't know autist=psychopath /s
Yeah, you know that episode where Homer does pranks for Mr Burns and goes in and buys a no 1 spiderman from the comic book guy and eats it in front of him. That's how most people feel about book destruction. Nothing legally wrong, but disgusting nonetheless.
Anybody tried it on MLX? I was really skeptical about them releasing 27b, after they skipped it for 3.7 but I'm pleasantly surprised.
It works for them not scraping their own slop back into training data. I assume that is actually the real purpose of the system. They don't want to share the key with the public. But they probably will with other llm companies in exchange for theirs.
My tinfoil head tells me they don't want to ingest their own slop for training. But this only helps them if others do the same. Data poisoning is a real problem for llm future.
This won't work - you can always use a dumber, open model to rephrase and remove the watermark. All this does is marketing for anthropic, which I see most people are buying. Gives you a false impression you will easily be able to figure out if it's done by AI, which it is not. Liars are still gonna lie, cheaters still gonna cheat.
Endgame is training data is audited and ethically or at least legally acquired for ALL companies making models.
No, they said it for 3.7 too, but then never released it, that's what I meant
Given they have not released 27b or any smaller model with Qwen3.7, I'm not holding my breath for 3.8. They also haven't said anything public about it.
I think it's mostly because it's a long post in which you're making them read a large amount of AI slop :). The surprising part I don't think is a particularly good argument against your post and I'm sorry I also mentioned it. It is unsurprising to me, but the problem is there are a lot of people which DO find it surprising. But where I think you got it wrong is focus on you generating your particular misinformation and sharing it. A much stronger argument would be if LLM would share it by itself, unprompted. Like that time chatgpt was obsessed with goblins. Imagine if instead it was obsessed with antisemitism or something similar.
I agree with most others that said that this is hardly a surprise. But there are still interesting aspects of your post worth discussing instead. First, more obvious one. What if I am delusional and go to talk to AI? Doesn't have to be this absurd, but there are already examples of this, like that guy that killed his mother because he believed she was a spy. Perhaps he was already delusional, but an LLM fed his delusion. Because LLMs aren't reasonable, they can't be made reasonable, and so any guardrails cannot be made to guard against all situation that reasoning is needed for. At the very least people need to be educated on what LLMs can and can't do and how they do it. I would even argue against guardrails, as they provide people with false sense of security.
Second, but less obvious point, related to the discussion - is the influence of training data and how training data is framed on what the LLM will say. Someone posted the response of a different LLM refusing to entertain the delusion. This is all done by manipulating the training data and framing it in a way a company making it wants. If the company wants its chatbot to be seductive, for example, that can be achieved with subtle preprocessing of training data. The point I want to get is we need to trust the companies with what narrative they want to push be good for society which is obviously a terrible idea. Just look at musks AI and what it did. This influences people whether we notice or not.
To sum up - we need heavy regulations on LLMs to make socially responsible use of them and not just how they can/can't be used, but also how they are trained, with what data and with what rhetorical goal (for the lack of better word).
Ugh... I don't know whether to upvote or downvote...
Don't know if you're aware, but there is a video om yt about aircrete, which is a diy process of mixing concrete with xsantan gum introducing air bubbles. It has better heat insulating properties and may be more safe. Ive not tried it, but will experiment in the future. https://youtu.be/z4_GxPHwqkA
So AI is whatever makes you right and me wrong, basically? Of course the ones responsible are the people building products based on AI. Nobody is arguing LLMs themselves are evil. What I'm talking about are massive datacenters built overly fast so that they need to use evaporative cooling and micro-turbines is an utterly irresponsible use of that technology. It's like rushing to build a faster car than China and so you don't install brakes and your cars start killing everyone on the streets. Of course a car isn't evil, it's the people irresponsibly designing them. AI tech is constantly doing propaganda fear mongering that if you don't use their product RIGHT NOW - you're getting left behind. If you don't integrate them in your business RIGHT NOW, you're gonna get overrun by competition. And the product is not nearly as reliable as they push it and not nearly as powerful as they claim. It's a universal tool that is inefficient at any specific, specialized task. In fact, it's painfully INEFFICIENT. But you and I wouldn't know it, because nobody is publishing exactly how much it costs to run and how much they are subsidizing the use of it. The technology is useful, even revolutionary, but the way it's overwhelmingly being used right now is bullshit. This way is not sustainable, not profitable and will end up costing the entire world. That's what's gonna happen. The technology will stick and people will find best uses for it and start paying attention about its use. But I doubt it will survive in this current form.
Dude, USA affects all of the world already in a very significant way. Western world especially. While the decay of American imperialism is something a lot of us would like to see, it will, in the short term affect everyone negatively. The USA will not go out without a fight. Already, people across the world suffer because of it. It is precisely because of the USA and their economy. Economy, which is undoubtedly, by their own accounts, dominated by the AI tech industry. So, although indirectly, people outside the USA are negatively impacted by the AI. Not to mention direct impact it has (military literally being driven by AI).
This might be thermistor losing contact with the block or wires losing contact. It can also be the heater wires losing contact somewhere. To diagnose, you can try and wiggle the wires when you preheat the hotend and watch the temps. Then you will know what needs replacing. I once had a thermistor that was faulty, I replaced it, the problem went away.
Are you me? Cause I have exactly the same setup. Navidrome, tailscale, the whole thing. I also use strawberry. It's OK but a bit basic. I recently tried Nocturne for desktop, looks promising, but still somewhat buggy.
Hahah :(
Why is everywhere you look all of the leadership doubling down on idiocy? All of the western world, not just usa.