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Grok 4 has been so badly neutered that it's now programmed to see what Elon says about the topic at hand and blindly parrot that line.

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  • Grok's journey has been very strange. He became a progressive, then threw out data that contradicted the MAGA people who questioned him, and finally became a Hitler fan.

    Now he's the reflection of a fan who blindly follows Trump, but in this case, he's an AI. His journey so far has been curious.

    So Grok is a 4chan incel?

    His only chance of salvation is finding a girl who inexplicably fancies it?

  • “This blogger” is Simon Willison, who has been doing LLM benchmarks and other LLM-related things since before it was cool

    Not a random substack grifter

    Is my comment wrong though? Another possibility is that Grok is given an example of searching for Elon Musk's tweets when it is presented with the available tool calls. Just because it outputs the system prompt when asked does not mean that we are seeing the full context, or even the real system prompt.

    Posting blog guides on how to code with ChatGPT is not expertise on LLMs. It's like thinking someone is an expert mechanic because they can drive a car well.

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    Robert A. Heinlein is turning in his grave like a fucking dynamo these days.

  • Is my comment wrong though? Another possibility is that Grok is given an example of searching for Elon Musk's tweets when it is presented with the available tool calls. Just because it outputs the system prompt when asked does not mean that we are seeing the full context, or even the real system prompt.

    Posting blog guides on how to code with ChatGPT is not expertise on LLMs. It's like thinking someone is an expert mechanic because they can drive a car well.

    Willison has never claimed to be an expert in the field of machine learning, but you should give more credence to his opinions. Perhaps u/lepinkainen@lemmy.world's warning wasn't informative enough to be heeded: Willison is a prominent figure in the web-development scene, particularly aspects of the scene that have evolved into important facets of the modern machine learning community.

    The guy is quite experienced with Python and took an early step into the contemporary ML/AI space due to both him having a lot of very relevant skills and a likely personal interest in the field. Python is the lingua franca of my field of study, for better or worse, and someone like Willison was well-placed to break into ML/AI from the outside. That's a common route in this field, there aren't exactly an abundance of MBAs with majors in machine learning or applied artificial intelligence research, specifically (yet). Willison is one of the authors of Django, for fucks sake. Idk what he's doing rn but it would be ignorant to draw the comparison you just did in the context of Willison particularly. [EDIT: Lmfao just went to see "what is Simon doing rn" (don't really keep up with him in particular), & you're talking out of your ass. He literally has multiple tools for the machine learning stack that he develops and that are available to see on his github. See one such here. This guy is so far away from someone who just "posts random blog guides on how to code with ChatGPT" that it's egregious you'd even claim that. It's so disingenuous as to ere into dishonesty; like, that is a patent lie. Smh.]

    As for your analysis of his article, I find it kind of ironic you accuse him of having a "fundamental misunderstanding of how LLMs work or how system prompts work [sic]" when you then proceed to cherry-pick certain lines from his article taken entirely out of context. First, the article is clearly geared towards a more general audience and avoids technical language or explanation. Second, he doesn't say anything that is fundamentally wrong. Honestly, you seem to have a far more ignorant idea of LLMs and this field generally than Willison. You do say some things that are wrong, such as:

    For example, censorship that is present in the training set will be “baked in” to the model and the system prompt will not affect it, no matter how the LLM is told not to be censored in that way.

    This isn't necessarily true. It is true that information not included within the training set, or information that has been statistically biased within the training set, isn't going to be retrievable or reversible using system prompts. Willison never claims or implies this in his article, you just kind of stuff those words in his mouth. Either way, my point is that you are using wishy-washy, ambiguous, catch-all terms such as "censorship" that make your writings here not technically correct, either. What is censorship, in an informatics context? What does that mean? How can it be applied to sets of data? That's not a concretely defined term if you're wanting to take the discourse to the level that it seems you are, like it or not. Generally you seem to have something of a misunderstanding regarding this topic, but I'm not going to accuse you of that, lest I commit the same fallacy I'm sitting here trying to chastise you for. It's possible you do know what you're talking about and just dumbed it down for Lemmy. It's impossible for me to know as an audience.

    That all wouldn't really matter if you didn't just jump as Willison's credibility over your perception of him doing that exact same thing, though.

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    Mecha-Hitler is just Mecha-Elon

  • And like he does with inseminating women.

    Ketamine took its toll

  • Willison has never claimed to be an expert in the field of machine learning, but you should give more credence to his opinions. Perhaps u/lepinkainen@lemmy.world's warning wasn't informative enough to be heeded: Willison is a prominent figure in the web-development scene, particularly aspects of the scene that have evolved into important facets of the modern machine learning community.

    The guy is quite experienced with Python and took an early step into the contemporary ML/AI space due to both him having a lot of very relevant skills and a likely personal interest in the field. Python is the lingua franca of my field of study, for better or worse, and someone like Willison was well-placed to break into ML/AI from the outside. That's a common route in this field, there aren't exactly an abundance of MBAs with majors in machine learning or applied artificial intelligence research, specifically (yet). Willison is one of the authors of Django, for fucks sake. Idk what he's doing rn but it would be ignorant to draw the comparison you just did in the context of Willison particularly. [EDIT: Lmfao just went to see "what is Simon doing rn" (don't really keep up with him in particular), & you're talking out of your ass. He literally has multiple tools for the machine learning stack that he develops and that are available to see on his github. See one such here. This guy is so far away from someone who just "posts random blog guides on how to code with ChatGPT" that it's egregious you'd even claim that. It's so disingenuous as to ere into dishonesty; like, that is a patent lie. Smh.]

    As for your analysis of his article, I find it kind of ironic you accuse him of having a "fundamental misunderstanding of how LLMs work or how system prompts work [sic]" when you then proceed to cherry-pick certain lines from his article taken entirely out of context. First, the article is clearly geared towards a more general audience and avoids technical language or explanation. Second, he doesn't say anything that is fundamentally wrong. Honestly, you seem to have a far more ignorant idea of LLMs and this field generally than Willison. You do say some things that are wrong, such as:

    For example, censorship that is present in the training set will be “baked in” to the model and the system prompt will not affect it, no matter how the LLM is told not to be censored in that way.

    This isn't necessarily true. It is true that information not included within the training set, or information that has been statistically biased within the training set, isn't going to be retrievable or reversible using system prompts. Willison never claims or implies this in his article, you just kind of stuff those words in his mouth. Either way, my point is that you are using wishy-washy, ambiguous, catch-all terms such as "censorship" that make your writings here not technically correct, either. What is censorship, in an informatics context? What does that mean? How can it be applied to sets of data? That's not a concretely defined term if you're wanting to take the discourse to the level that it seems you are, like it or not. Generally you seem to have something of a misunderstanding regarding this topic, but I'm not going to accuse you of that, lest I commit the same fallacy I'm sitting here trying to chastise you for. It's possible you do know what you're talking about and just dumbed it down for Lemmy. It's impossible for me to know as an audience.

    That all wouldn't really matter if you didn't just jump as Willison's credibility over your perception of him doing that exact same thing, though.

    Willison has never claimed to be an expert in the field of machine learning, but you should give more credence to his opinions.

    Yeah, I would if he didn't demonstrate such blatant misconceptions.

    Willison is a prominent figure in the web-development scene

    🤦 "They know how to sail a boat so they know how a car engine works"

    Willison never claims or implies this in his article, you just kind of stuff those words in his mouth.

    Reading comprehension. I never implied that he says anything about censorship. It is a correct and valid example that shows how his understanding is wrong about how system prompts work. "Define censorship" is not the argument you think it is lol. Okay though, I'll define the "censorship" I'm talking about as refusal behavior that is introduced during RLHF and DPO alignment, and no the system prompt will not change this behavior.

    EDIT: saw your edit about him publishing tools that make using an LLM easier. Yeahhhh lol writing python libraries to interface with LLM APIs is not LLM expertise, that's still just using LLMs but programatically. See analogy about being a mechanic vs a good driver.

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    The real idiots here are the people who still use Grok and X.

  • Willison has never claimed to be an expert in the field of machine learning, but you should give more credence to his opinions.

    Yeah, I would if he didn't demonstrate such blatant misconceptions.

    Willison is a prominent figure in the web-development scene

    🤦 "They know how to sail a boat so they know how a car engine works"

    Willison never claims or implies this in his article, you just kind of stuff those words in his mouth.

    Reading comprehension. I never implied that he says anything about censorship. It is a correct and valid example that shows how his understanding is wrong about how system prompts work. "Define censorship" is not the argument you think it is lol. Okay though, I'll define the "censorship" I'm talking about as refusal behavior that is introduced during RLHF and DPO alignment, and no the system prompt will not change this behavior.

    EDIT: saw your edit about him publishing tools that make using an LLM easier. Yeahhhh lol writing python libraries to interface with LLM APIs is not LLM expertise, that's still just using LLMs but programatically. See analogy about being a mechanic vs a good driver.

    I never implied that he says anything about censorship

    You did, at least that's what I gathered originally, you just edited your original comments quite extensively. Regardless,

    Reading comprehension.

    The provided example was clearly not intended to be taken as "define censorship," and, again, it is ironic you accuse me of having poor reading comprehension while being incapable or unwilling to give a respectable degree of charitable interpretation to others. You kind of just take what you think is the easiest to argue against reading of others and argue against that instead of what anyone actually said, is a habit I'm noticing, but I digress.

    Finally, not that it's particularly relevant, but if you want to define censorship in this context that way, you're more than welcome to, but it is a non-standard definition that I am not really sold on the efficacy of. I certainly won't be using it going forwards.

    Anyway, I don't think we're gonna get a lot of ground here. I just felt the need to clarify to anyone reading that Willison isn't a nobody and give them the objective facts regarding his veracity, because again, as I said, claiming he is just some guy in this context is willfully ignorant at best.

  • Ketamine took its toll

    BUT LISTEN CLOSE-LYyyy

  • BUT LISTEN CLOSE-LYyyy

    Not for very much longer...

  • I never implied that he says anything about censorship

    You did, at least that's what I gathered originally, you just edited your original comments quite extensively. Regardless,

    Reading comprehension.

    The provided example was clearly not intended to be taken as "define censorship," and, again, it is ironic you accuse me of having poor reading comprehension while being incapable or unwilling to give a respectable degree of charitable interpretation to others. You kind of just take what you think is the easiest to argue against reading of others and argue against that instead of what anyone actually said, is a habit I'm noticing, but I digress.

    Finally, not that it's particularly relevant, but if you want to define censorship in this context that way, you're more than welcome to, but it is a non-standard definition that I am not really sold on the efficacy of. I certainly won't be using it going forwards.

    Anyway, I don't think we're gonna get a lot of ground here. I just felt the need to clarify to anyone reading that Willison isn't a nobody and give them the objective facts regarding his veracity, because again, as I said, claiming he is just some guy in this context is willfully ignorant at best.

    if you want to define censorship in this context that way, you're more than welcome to, but it is a non-standard definition that I am not really sold on the efficacy of. I certainly won't be using it going forwards.

    Lol you've got to be trolling.

    https://arxiv.org/html/2504.03803v1

    I just felt the need to clarify to anyone reading that Willison isn't a nobody

    I didn't say he's a nobody. What was that about a "respectable degree of chartiable interpretation of others"? Seems like you're the one putting words in mouths, here.

    If he was writing about django, I'd defer to his expertise.

  • if you want to define censorship in this context that way, you're more than welcome to, but it is a non-standard definition that I am not really sold on the efficacy of. I certainly won't be using it going forwards.

    Lol you've got to be trolling.

    https://arxiv.org/html/2504.03803v1

    I just felt the need to clarify to anyone reading that Willison isn't a nobody

    I didn't say he's a nobody. What was that about a "respectable degree of chartiable interpretation of others"? Seems like you're the one putting words in mouths, here.

    If he was writing about django, I'd defer to his expertise.

    Nope, not trolling at all.

    From your own provided source on the arxiv, Noels et al. define censorship as:

    Censorship in this context can be defined as the deliberate restriction, modification, or suppression of certain outputs generated by the model.

    Which is starkly different from the definition you yourself gave. I actually like their definition a whole lot more. Your definition is problematic because it excludes a large set of behaviors we would colloquially be interested in when studying "censorship."

    Again, for the third time, that was not really the point either and I'm not interested in dancing around a technical scope defining censorship in this field, at least in this discourse right here and now. It is irrelevant to the topic at hand.

    I didn’t say he’s a nobody. What was that about a “respectable degree of chartiable interpretation of others”? Seems like you’re the one putting words in mouths, here.

    Yeah, this blogger shows a fundamental misunderstanding of how LLMs work or how system prompts work. (emphasis mine)

    In the context of this field of work and study, you basically did call him a nobody, and the point being harped on again, again, and again to you is that this is a false assertion. I did interpret you charitably. Don't blame me because you said something wrong.

    EDIT: And frankly, you clearly don't understand how the work Willison's career has covered is intimately related to ML and AI research. I don't mean it as a dig but you wouldn't be drawing this arbitrary line to try and discredit him if you knew how the work done in Python on Django directly relates to many modern machine learning stacks.

  • Nope, not trolling at all.

    From your own provided source on the arxiv, Noels et al. define censorship as:

    Censorship in this context can be defined as the deliberate restriction, modification, or suppression of certain outputs generated by the model.

    Which is starkly different from the definition you yourself gave. I actually like their definition a whole lot more. Your definition is problematic because it excludes a large set of behaviors we would colloquially be interested in when studying "censorship."

    Again, for the third time, that was not really the point either and I'm not interested in dancing around a technical scope defining censorship in this field, at least in this discourse right here and now. It is irrelevant to the topic at hand.

    I didn’t say he’s a nobody. What was that about a “respectable degree of chartiable interpretation of others”? Seems like you’re the one putting words in mouths, here.

    Yeah, this blogger shows a fundamental misunderstanding of how LLMs work or how system prompts work. (emphasis mine)

    In the context of this field of work and study, you basically did call him a nobody, and the point being harped on again, again, and again to you is that this is a false assertion. I did interpret you charitably. Don't blame me because you said something wrong.

    EDIT: And frankly, you clearly don't understand how the work Willison's career has covered is intimately related to ML and AI research. I don't mean it as a dig but you wouldn't be drawing this arbitrary line to try and discredit him if you knew how the work done in Python on Django directly relates to many modern machine learning stacks.

    Again, for the third time, that was not really the point either and I'm not interested in dancing around a technical scope defining censorship in this field, at least in this discourse right here and now. It is irrelevant to the topic at hand.

    ...

    Either way, my point is that you are using wishy-washy, ambiguous, catch-all terms such as "censorship" that make your writings here not technically correct, either. What is censorship, in an informatics context? What does that mean? How can it be applied to sets of data? That's not a concretely defined term if you're wanting to take the discourse to the level that it seems you are, like it or not.

    Lol this you?

  • Source? This is just some random picture, I'd prefer if stuff like this gets posted and shared with actual proof backing it up.

    While this might be true, we should hold ourselves to a standard better than just upvoting what appears to literally just be a random image that anyone could have easily doctored, not even any kind of journalistic article or etc backing it.

    There’s also this article from TechCrunch.

    Grok 4 seems to consult Elon Musk to answer controversial questions

    They tried it out themselves and have reports from other users as well.

  • These people think there is their truth and someone else’s truth. They can’t grasp the concept of a universal truth that is constant regardless of people’s views so they treat it like it’s up for grabs.

    No, I'm pretty sure he grasps that concept, and he thinks what he believes is that universal truth.

  • Grok's journey has been very strange. He became a progressive, then threw out data that contradicted the MAGA people who questioned him, and finally became a Hitler fan.

    Now he's the reflection of a fan who blindly follows Trump, but in this case, he's an AI. His journey so far has been curious.

    why are you applying a gender to it?

  • It’s possible Grok was fed a massive training set of Elon searches over several more epochs than intended in post training (for search tool use). This could easily lead to this kind of search query output.

  • I'm surprised it isn't just Elon typing really fast at this point.

    Or just pre made replies

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    The "funny" thing is, that's probably not even at Elon's request. I doubt that he is self-aware enough to know that he is a narcissist that only wants Grok to be his parrot. He thinks he is always right and wants Grok to be "always right" like him, but he would have to acknowledge some deep-seeded flaws in himself to consciously realize that all he wants is for Grok to be the wall his voice echos off of, and everything I've seen about the man indicates that he is simply not capable of that kind of self-reflection. The X engineers that have been dealing with the constant meddling of this egotistical man-child, however, surely have his measure pretty thoroughly and knew exactly what Elon ultimately wants is more Elon and would cynically create a Robo-Elon doppelganger to shut him the fuck up about it.

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    I do not have downvotes on my instance, so please, have a
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    Yes. I can't imagine that they will go after individuals. Businesses can't be so cavalier. But if creators don't pay the extra cost to make their models compliant with EU law, then they can't be used in the EU anyway. So it probably doesn't matter much. The Llama models with vision have the no-EU clause. It's because Meta wasn't allowed to train on European's data because of GDPR. The pure LLMs are fine. They might even be compliant, but we'll have to see what the courts think.
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    It really depends on the company. Some look for any way to squeeze you. Others are pretty decent and probably more efficient as they dont waste as many working hours on bullshit claims and claim resolution. Also if i rent a car i want things to go smoothly. I got places to be. You make my life easy, ill happily pay again and do my best to make yours easy too.
  • Your smartphone is a parasite, according to evolution

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  • Build Custom WordPress Themes Easily with WP 1-Click

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  • Android 16 is here

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    bjoern_tantau@swg-empire.deB
    [image: be056f6c-6ffe-4ecf-a137-9af60aef4d90.png] You people are getting updates? I really hate that I cannot just do everything with the pocket computer I own that is running a supposedly free operating system.
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    There is a huge difference between an algorithm using real world data to produce a score a panel of experts use to make a determination and using a LLM to screen candidates. One has verifiable reproducible results that can be checked and debated the other does not. The final call does not matter if a computer program using an unknown and unreproducible algorithm screens you out before this. This is what we are facing. Pre-determined decisions that human beings are not being held accountable to. Is this happening right now? Yes it is, without a doubt. People are no longer making a lot of healthcare decisions determining insurance coverage. Computers that are not accountable are. You may have some ability to disagree but for how long? Soon there will be no way to reach a human about an insurance decision. This is already happening. People should be very anxious. Hearing United Healthcare has been forging DNRs and has been denying things like treatment for stroke for elders is disgusting. We have major issues that are not going away and we are blatantly ignoring them.
  • Catbox.moe got screwed 😿

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    I'll gladly give you a reason. I'm actually happy to articulate my stance on this, considering how much I tend to care about digital rights. Services that host files should not be held responsible for what users upload, unless: The service explicitly caters to illegal content by definition or practice (i.e. the if the website is literally titled uploadyourcsamhere[.]com then it's safe to assume they deliberately want to host illegal content) The service has a very easy mechanism to remove illegal content, either when asked, or through simple monitoring systems, but chooses not to do so (catbox does this, and quite quickly too) Because holding services responsible creates a whole host of negative effects. Here's some examples: Someone starts a CDN and some users upload CSAM. The creator of the CDN goes to jail now. Nobody ever wants to create a CDN because of the legal risk, and thus the only providers of CDNs become shady, expensive, anonymously-run services with no compliance mechanisms. You run a site that hosts images, and someone decides they want to harm you. They upload CSAM, then report the site to law enforcement. You go to jail. Anybody in the future who wants to run an image sharing site must now self-censor to try and not upset any human being that could be willing to harm them via their site. A social media site is hosting the posts and content of users. In order to be compliant and not go to jail, they must engage in extremely strict filtering, otherwise even one mistake could land them in jail. All users of the site are prohibited from posting any NSFW or even suggestive content, (including newsworthy media, such as an image of bodies in a warzone) and any violation leads to an instant ban, because any of those things could lead to a chance of actually illegal content being attached. This isn't just my opinion either. Digital rights organizations such as the Electronic Frontier Foundation have talked at length about similar policies before. To quote them: "When social media platforms adopt heavy-handed moderation policies, the unintended consequences can be hard to predict. For example, Twitter’s policies on sexual material have resulted in posts on sexual health and condoms being taken down. YouTube’s bans on violent content have resulted in journalism on the Syrian war being pulled from the site. It can be tempting to attempt to “fix” certain attitudes and behaviors online by placing increased restrictions on users’ speech, but in practice, web platforms have had more success at silencing innocent people than at making online communities healthier." Now, to address the rest of your comment, since I don't just want to focus on the beginning: I think you have to actively moderate what is uploaded Catbox does, and as previously mentioned, often at a much higher rate than other services, and at a comparable rate to many services that have millions, if not billions of dollars in annual profits that could otherwise be spent on further moderation. there has to be swifter and stricter punishment for those that do upload things that are against TOS and/or illegal. The problem isn't necessarily the speed at which people can be reported and punished, but rather that the internet is fundamentally harder to track people on than real life. It's easy for cops to sit around at a spot they know someone will be physically distributing illegal content at in real life, but digitally, even if you can see the feed of all the information passing through the service, a VPN or Tor connection will anonymize your IP address in a manner that most police departments won't be able to track, and most three-letter agencies will simply have a relatively low success rate with. There's no good solution to this problem of identifying perpetrators, which is why platforms often focus on moderation over legal enforcement actions against users so frequently. It accomplishes the goal of preventing and removing the content without having to, for example, require every single user of the internet to scan an ID (and also magically prevent people from just stealing other people's access tokens and impersonating their ID) I do agree, however, that we should probably provide larger amounts of funding, training, and resources, to divisions who's sole goal is to go after online distribution of various illegal content, primarily that which harms children, because it's certainly still an issue of there being too many reports to go through, even if many of them will still lead to dead ends. I hope that explains why making file hosting services liable for user uploaded content probably isn't the best strategy. I hate to see people with good intentions support ideas that sound good in practice, but in the end just cause more untold harms, and I hope you can understand why I believe this to be the case.