Yeah no let's help people that are like this get out of it. We should not have people going down that bad rabbithole. We all have to research candidates properly and do
this post was submitted on 05 Jul 2026
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There’s the endgame right there.
It never fails to amaze me, the readyness of a lot of folks to become intellectual cuckolds. It isn't even just AI, but also how easily they follow the most blatant propaganda even ifnit works against their interest.
Welp, time to learn adverserial machine learning.
Welp, there goes democracy.
Cest la vie?
Or...
Bella ciao?
Chatgpt, figure this out for me
Being called an NPC used to be a joke/insult.
Now its just actually real, people offload all their thinking to an LLM... thats as close as you can currently get to just being a literal real world NPC.
I guess the next step would be brain implants that just make that it an always on, straight mainline into your brain.
Reddit hivemind trains the LLM, LLM trains the people, hivemind is now basically actually real.
VOTE FOR CLAUDE. CLAUDE WILL BE A BENEVOLENT RULER. CLAUDE WILL TEACH EVERYONE RUST. LOVE CLAUDE.
RIIR - but this time, it's the Constitution they want to re-write.
Thiel and company loooooove this outcome, by the way.
Well, that's what they were doing, more or less, when it came to letting platforms like Facebook and Youtube tell them what to think...
I wish I had more than 1 upvote to give.
it was the best gif I had to convey the mix of sheer horror and disgust I felt reading that headline, and I still don't think it conveys enough of it.
Hey, Crab-Man!
"Hey, Crabman"
We're fucking doomed!
Cooked I believe is more appropriate here. Were fucking cooked chat
No no no, just keep doing and getting more people doing. We win by doing and making sure people are not falling into these rabbitholes/getting them out.
Never give up!! Fuck it we ball!!!!!!!!
Why not just skip a step and ask the tech billionaires directly?
Why not skip a step and vote through Facebook?
This was a pretty obvious one imo. Anyone who didnt see this coming had their eyes closed. Outsourcing your thinking to a product that can be freely manipulated by the company providing it has always been the goal of these companies. The ministry of truth is finally here and people are even paying money to use it.
Oh, maybe with the conflicting information and isolation the do your own research crowd might end up turning to the ask-a-nazi to help them sort out what's really going on.
Wow
Unfortunately, these days, marketing departments know this, and like most marketing, money wins. It used to be SEO, but now it is AIO. The goal is to write articles it knows will get sucked up by the AI training sets, setting the narrative the AI will repeat. Because the page aren't meant to be consumed by humans, they can be long-winded, repetitive, and misleading.
I have no doubt big political campaigns are doing the same thing.
Got a link on AIO?
How is that different than just content marketing articles they've been writing for years for SEO?
SEO was optimized for keywords and human readability. AIO doesn't need to care about either of those, the crawlers will find it, and the LLMs will consume it. I am not a marketing expert, so I don't know the exact specifics, and it is such a new field, I'm sure things are still evolving.
If you search "AIO marketing", you can find plenty of references to it. I have no idea what a good reference is though, so I don't want to link one.
Something tells me most articles about AIO marketing are AI slop trash articles
💯️. That's why I didn't link to any, I don't know what is good. But I know in my company, SEO and AIO are seen as different things.
Imagine a niche industrial software manufacturer. There might be 3 total players in the space, and a handful of Reddit posts total. AIO looks to make sure that when their website is crawled by the AI companies, the model is trained with a slant toward their product, not only in generic "Is there software to do this" queries, but also a "Product A vs Product B" query.
So Product A will put up page after page on their website about how great their product is, how much better it is than B and C. How B and C are a bad choice. And so on. Not designed to be top results in Google, but be consumed and direct LLMs subtly to their product over their competitors.
Roll credits
Wouldn't people who are that stupid vote R anyway?
Has anyone tested the prompts on these? I'm kind of wondering if truth having a leftist bias could help inform people against the right-wing propaganda.
Models don’t “care” about “truths”, they are about the average likelyhood that the next word is correct based on the previous x words based on the data they were trained on, which was mostly internet posting.
Their output can also be manipulated by adding “system prompts” so that the user’s question isn’t the only thing being input.
ChatGPT doesn’t think, it doesn’t “reason”, it doesn’t know what is true, it doesn’t “feel” “integrity”. It regurgitates Wikipedia articles against the biases of 4chan and Reddit posts and tries to sell that diarrhea as bowls of soup.
Personally I’m to the point where I understand gulags now. Like, why would they need that? Why would they do something that seems so intentionally cruel and forceful and then read shit like this and I go “oh, oh yeah. I get it now. Yeah some people belong there.”
Personally I’m to the point where I understand gulags now. Like, why would they need that? Why would they do something that seems so intentionally cruel and forceful and then read shit like this and I go “oh, oh yeah. I get it now. Yeah some people belong there.”
I very much doubt the kind of people that most need to be in things like gulags end up in them...
This is screaming into the the ether, but I'll point out that this is not how GPT, or transformer architectures in general, work. You are describing a basic ass bag of words vectorization model, which is certainly in the lineage of transformers but is absolutely not the end of it. What made transformers such an inflection point in NLP is the development of the attention mechanism. It is still generating an iterative and sequential probabilistic series of tokens, but those probabilities are informed by context and attention along a huge scaffold of parameters that encode a lot of semantics. This isn't exactly how humans reason, but it's distressingly not that far off either.
That is all to say, this is still a terrible idea but, no, models are not just "hurr durr weighted averages hurr durr" and it's been over a decade since that was even remotely at the forefront of NLP.
These datasets, along with the rules governing them, are a bit more complicated than weighing 4chan and wiki equally. They absolutely weigh peer-review journals and white-listed encyclopedia sources higher. Once they establish a baseline of credibility and identifying a certain grade-level of communication, along with identifying critical-thinking patterns (fallacies, formal logic, etc.)., then you can quite easily filter out the noise.
Every single time I've used a GPT to analyze a conversation with a Trump supporter and myself, it has identified their fallacies I had already identified, and rightfully pointing out fallacies of my own at times -- but almost always concludes their argument is far, far worse.
since when do LLMs care about what is true or not? I must've missed that, we fixed the hallucination problem?
also, rest assured, Grok has almost certainly been tweaked to say "whoever's on the Republican ticket", and probably most other big AI companies in the US who benefit from this administration will do the same, just less ham-fistedly and more subtly than Musk will. If flagship LLMs in general were to start giving ringing endorsements of leftists, I have zero doubt in my mind that would not be allowed to continue, not under the current regime.
But AI has a hallucination problem similar in the way every single human being in existence has an imperfect recollection hallucinatory problem. We have to distinguish accuracy from precision and take that with a grain of salt. I do wonder when the last time people here have used some of these later GPTs, because they absolutely have value and vast consensus of scientists agree.
How one regulates it, is of course another story that I agree with you on. I've already used AI successfully to combat far-right trolls though.
We can hope that, but their responses rely entirely on where they pull their information from, and I lost all hope that they were actually factual when they turned grok into Mecha Hitler!
I don't think the truth is going to factor in, but my father has been outsourcing his thinking to Gemini lately and in that case it's fairly straightforward: they have a profile on him as a moderate Democrat, so it suggests anyone with that tag. It likely isn't going to fact check that tags, though.
But back to truth: it will pull top search results which very much can be gamed, just like pre-LLM days. That means a false story pushed on a candidate is popular, it'll default to that and could mislead a voter. That, and of course whatever weights the owner of that LLM sets (although, that is much more subtle than other commenters let on; a weight generally isn't absolutely, it simply tips things so like, Democratic Socialists won't magically get recommended MAGA but conservative independents will based on higher values set to conservative tags like immigration views).
Heh. May they get exactly what they vote for.
Idiots.
Careful. In a democracy, we all get what the idiots vote for. It's how we got here.