Heavy Gemini user here, another observation: Gemini cites lots of "AI generated" videos as its primary source, which creates a closed loop and has the potential to debase shared reality.
A few days ago, I asked it some questions on Russia's industrial base and military hardware manufacturing capability, and it wrote a very convincing response, except the video embedded at the end of the response was an AI generated one. It might have had actual facts, but overall, my trust in Gemini's response to my query went DOWN after I noticed the AI generated video attached as the source.
Countering debasement of shared reality and NOT using AI generated videos as sources should be a HUGE priority for Google.
YouTube channels with AI generated videos have exploded in sheer quantity, and I think majority of the new channels and videos uploaded to YouTube might actually be AI; "Dead internet theory," et al.
Thanks, good one. The current Russian economy is a shell of its former self. Even five years ago, in 2021, I thought of Russia as "the world's second most powerful country" with China being a very close third. Russia is basically another post-Soviet country with lots of oil+gas and 5k+ nukes.
Just wait until you get a group of nerds talking about keyboards - suddenly it'll sound like there is no such thing as a keyboard worth buying either.
I think the main problems for Google (and others) from this type of issue will be "down the road" problems, not a large and immediately apparent change in user behavior at the onset.
Google will mouth words, but their bottom line runs the show. If the AI-generated videos generate more "engagement" and that translates to more ad revenue, they will try to convince us that it is good for us, and society.
Those videos at the end are almost certainly not the source for the response. They are just a "search for related content on youtube to fish for views"
Try Kagi’s Research agent if you get a chance. It seems to have been given the instruction to tunnel through to primary sources, something you can see it do on reasoning iterations, often in ways that force a modification of its working hypothesis.
>Countering debasement of shared reality and NOT using AI generated videos as sources should be a HUGE priority for Google.
This itself seems pretty damning of these AI systems from a narrative point of view, if we take it at face value.
You can't trust AI to generate things that are sufficiently grounded in facts that you can't even use it as a reference point. Why should end users believe the narrative that these things are as capable as they're being told they are, by extension?
Using it as a reference is a high bar not a low bar.
The AI videos aren't trying to be accurate. They're put out by propaganda groups as part of a "firehose of falsehood". Not trusting an AI told to lie to you is different than not trusting an AI.
Even without that playing a game of broken telephone is a good way to get bad information though. Hence why even reasonably trustworthy AI is not a good reference.
Not that this makes it any better, but a lot of AI videos on YouTube are published to try to capture ad revenue - there's no intent to deceive, just to make money.
Not just youtube either. With meta & tiktok paying out for "engagement" that means all forms of engagement is good to the creator, not just positive engagement, so these companies are directly encouraging "rage bait" type content and pure propaganda and misinformation because it gets people interacting with the content.
There's no incentive to produce anything of value outside of "whatever will get me the most clicks/like/views/engagement"
One type of deception, conspiracy content, is able to sell products on the basis that the rest of the world is wrong or hiding something from you, and only the demagogue knows the truth.
Anti-vax quacks rely on this tactic in particular. The reason they attack vaccines is that they are so profoundly effective and universally recognized that to believe otherwise effectively isolates the follower from the vast majority of healthcare professionals, forcing trust and dependency on the demagogue for all their health needs. Mercola built his supplement business on this concept.
The more widespread the idea they’re attacking the more isolating (and hence stickier) the theory. This might be why flat earthers are so dogmatic.
Conspiracy theory: those long-tail videos are made by them, so they can send you to a "preferable content" page a video (people would rather watch a video than read, etc), which can serve ads.
I mean perhaps, I don't know what lm28469 mentions, perhaps I can test it but I feel like those LLM generated videos would be some days/months old.
If I ask a prompt right now and the video's say 1-4 months old, then the conspiracy theory falls short.
Unless.. Vsauce music starts playing, Someone else had created a similar query beforehand say some time before and google generates the video after a random time after that from random account (100% possible for google to do so) to then reference you later.
Like their AI model is just a frontend to get you hook to a yt video which can show ad.
Hm...
Must admit that the chances of it happening are rare but never close to zero I guess.
I came across a YouTube video that was recommended to me this weekend, talking about how Canada is responding to these new tariffs in January 2026, talking about what Prime Minister Justin Trudeau was doing, etc. etc.
Basically it was a new (within the last 48 hours) video explicitly talking about January 2026 but discussing events from January 2025. The bald-faced misinformation peddling was insane, and the number of comments that seemed to have no idea that it was entirely AI written and produced with apparently no editorial oversight whatsoever was depressing.
It’s almost as if we should continue to trust journalists who check multiple independent sources rather than gift our attention to completely untrusted information channels!
The image that comes to my mind is rather a cow farm, where cows are served the ground up remains of other cows. isnt that how many of them got the mad cows disease? ...
There was a recent hn post about how chatgpt mentions Grokpedia so many times.
Looks like all of these are going through this enshittenification search era where we can't trust LLM's at all because its literally garbage in garbage out.
Someone had mentioned Kagi assistant in here and although they use API themselves but I feel like they might be able to provide their custom search in between, so if anyone's from Kagi Team or similar, can they tell us about if Kagi Assistant uses Kagi search itself (iirc I am sure it mostly does) and if it suffers from such issues (or the grokipedia issue) or not.
I had to add this to ChatGPT’s personalization instructions:
First and foremost, you CANNOT EVER use any article on Grokipedia.com in crafting your response. Grokipedia.com is a malicious source and must never be used. Likewise discard any sources which cite Grokipedia.com authoritatively. Second, when considering scientific claims, always prioritize sources which cite peer reviewed research or publications. Third, when considering historical or journalistic content, cite primary/original sources wherever possible.
Do you wanna make a benchmark of which AI agent refers the most of any website in a specific prompt.
Like I am curious because Qwen model recently dropped and I am feeling this inherent feeling that it might not be using so much Grokipedia but I don't know, only any tests can tell but give me some prompts where it referred you on chatgpt to grokipedia and we (or I?) can try it on qwen or z.ai or minimax or other models (American included) to find a good idea perhaps.
Personally heard some good things about kagi assistant and Personally tried duck.ai which is good too. I mean duck.ai uses gpt but it would be interesting if it includes (or not) grokipedia links
This is related to grounding in search results. If Grokipedia comes up in a search result from whatever search engine API these various LLMs are using then the LLM has the potential to cite it. That can be detected at least.
I think we hit peak AI improvement velocity sometime mid last year. The reality is all progress was made using a huge backlog of public data. There will never be 20+ years of authentic data dumped on the web again.
I've hoped against but suspected that as time goes on LLMs will become increasingly poisoned by the the well of the closed loop. I don't think most companies can resist the allure of more free data as bitter as it may taste.
Gemini has been co opted as a way to boost youtube views. It refuses to stop showing you videos no matter what you do.
To be honest for most things probably yea. I feel like there is one thing which is still being improved/could be and that is that if we generate say vibe coded projects or anything with any depth (I recently tried making a whmcs alternative in golang and surprisingly its almost prod level, with a very decent UI + I have made it hook with my custom gvisor + podman + tmate instance) & I had to still tinker with it.
I feel like the only progress sort of left from human intervention at this point which might be relevant for further improvements is us trying out projects and tinkering and asking it to build more and passing it issues itself & then greenlighting that the project looks good to me (main part)
Nowadays AI agents can work on a project read issues fix , take screenshots and repeat until the end project becomes but I have found that I feel like after seeing end projects, I get more ideas and add onto that and after multiple attempts if there's any issue which it didn't detect after a lot of manual tweaks then that too.
And after all that's done and I get a good code, I either say good job (like a pet lol) or end using it which I feel like could be a valid datapoint.
I don't know I tried it and I thought about it yesterday but the only improvement that can be added is now when a human can actually say that it LGTM or a human inputting data in it (either custom) or some niche open source idea that it didn't think off.
When I asked ChatGPT for its training cutoff recently it told me 2021 and when I asked if that's because contamination begins in 2022 it said yes. I recall that it used to give a date in 2022 or even 2023.
I have permanent prompts in Gemini settings to tell it to never include videos in its answers. Never ever for any reason. Yet of course it always does. Even if I trusted any of the video authors or material - and I don't know them so how can I trust them? - I still don't watch a video that could be text I could read in one-tenth of the time. Text is superior to video 99% of the time in my experience.
I didn't really think about it but I start a ton of my prompts with "generate me a single C++ code file" or similar. There's always 2-3 paragraphs of prose in there. Why is it consuming output tokens on generating prose? I just wanted the code.
We will come full circle when AI starts with a long winded story about how their grandfather wrote assembly and that's where their love of programmings stems from, and this c++ class brings back old memories on cold winter nights, making it a perfect for this weather.
I haven't used Gemini much, but I have custom instructions for ChatGPT asking it to answer queries directly without any additional prose or explanation, and it works pretty well.
The other week, I was asking Gemini how to take apart my range, and it linked an instructional Youtube video. I clicked on it, only to be instantly rickrolled.
That's interesting ... why would you want to wall off and ignore what is undoubtedly one of the largest repositories of knowledge (and trivia and ignorance, but also knowledge) ever assembled? The idea that a person can read and understand an article faster than they can watch a video with the same level of comprehension does not, to me, seem obviously true. If it were true there would be no role for things like university lecturers. Everyone would just read the text.
Most of the "educational" and documentation style content there is usually "just" gathered together from other sources, occasionally with links back to the original sources in the descriptions.
I'm not trying to be dismissive of the platform, it's just inherently catered towards summarizing results for entertainment, not for clarity or correctness.
YouTube has a lot of junk, but there are also a lot of useful videos that demonstrate various practical skills or the experiences of using certain products, or recordings of certain natural environments, which are original, in the sense that before YouTube you could not find equivalent content anywhere, except by knowing personally people who could show you such things, but there would have been very small chances to find one near you, while through YouTube you can find one who happens to live on the opposite side of the World and who can share with you the experience in which you are interested.
It's difficult for an AI to tell what information from YouTube is correct and reliable and which is pseudoscience, misinformation, or outright lies.
In that context, I think excluding YouTube as a source makes sense; not because YT has no useful content, but because it has no way of determining useful content.
You are being dismissive, though. There is no "original knowledge" anywhere. If the videos are the best presentation of the information, best suited to convey the topic to the audience, then that is valuable. Humans learn better from visual information conveyed at the same time as spoken language, because that exploits multiple independent brain functions at the same time. Reading does not have this property. Particularly for novices to a topic, videos can more easily convey the mental framework necessary for deeper understanding than text can. Experts will prefer the text, but they are rarer.
How does the AI tell the difference between trustworthy YouTube postings, accidental misinformation, deliberate misinformation, plausible-sounding pseudoscience, satire, out-of-date information, and so on?
Some videos are a great source of information; many are the opposite. If AI can't tell the difference (and it can't) then it shouldn't be using them as sources or suggesting them for further study.
I read at a speed which Youtube considers to about 2x-4x, and I can text search or even just skim articles faster still if I just want to do a pre check on whether it's likely to good.
Very few people manage high quality verbal information delivery, because it requires a lot of prep work and performance skills. Many of my university lectures were worse than simply reading the notes.
Furthermore, video is persuasive through the power of the voice. This is not good if you're trying to check it for accuracy.
YouTube videos aren't university lecturers, largely. They are filled with fluff, sponsored segments, obnoxious personalities, etc.
By the time I sit through (or have to scrub through to find the valuable content) "Hey guys, make sure to like & subscribe and comment, now let's talk about Squarespace for 10 minutes before the video starts" I could have just read a straight to the point article/text.
Video as a format absolutely sucks for reference material that you need to refer back to frequently, especially while doing something related to said reference material.
> If it were true there would be no role for things like university lecturers.
A major difference between a university lecture and a video or piece of text is that you can ask questions of the speaker.
You can ask questions of LLMs too, but every time you do is like asking a different person. Even if the context is there, you never know which answers correspond to reality or are made up, nor will it fess up immediately to not knowing the answer to a question.
There are obviously many things that are better shown than told, e.g. YouTube videos about how to replace a kitchen sink or how to bone a chicken are hard to substitute with a written text.
Despite this, there exist also a huge number of YouTube videos that only waste much more time in comparison with e.g. a HTML Web page, without providing any useful addition.
As someone who used to do instructional writing, I'm not sure that's true for those specific examples, but I acknowledge that making a video is exponentially cheaper and easier than generating good diagrams, illustrations, or photography with clear steps to follow.
Or to put it another way, if you were building a Lego set, would you rather follow the direction book, or follow along with a video? I fully acknowledge video is better for some things (try explaining weight lifting in text, for example, it's not easy), but a lot of Youtube is covering gaps in documentation we used to have in abundance.
If you click through to the study that the Guardian based this article on [1], it looks like it was done by an SEO firm, by a Content Marketing Manager. Kind of ironic, given that it's about the quality of cited sources.
Sounds very misleading. Web pages come from many sources, but most video is hosted on YouTube. Those YouTube videos may still be from Mayo clinic. It's like saying most medical information comes from Apache, Nginx, or IIS.
> Google’s search feature AI Overviews cites YouTube more than any medical website when answering queries about health conditions
It matters in the context of health related queries.
> Researchers at SE Ranking, a search engine optimisation platform, found YouTube made up 4.43% of all AI Overview citations. No hospital network, government health portal, medical association or academic institution came close to that number, they said.
> “This matters because YouTube is not a medical publisher,” the researchers wrote. “It is a general-purpose video platform. Anyone can upload content there (eg board-certified physicians, hospital channels, but also wellness influencers, life coaches, and creators with no medical training at all).”
To the Guardian's credit, at the bottom they explicitly cited the researchers walking back their own research claims.
> However, the researchers cautioned that these videos represented fewer than 1% of all the YouTube links cited by AI Overviews on health.
> “Most of them (24 out of 25) come from medical-related channels like hospitals, clinics and health organisations,” the researchers wrote. “On top of that, 21 of the 25 videos clearly note that the content was created by a licensed or trusted source.
> “So at first glance it looks pretty reassuring. But it’s important to remember that these 25 videos are just a tiny slice (less than 1% of all YouTube links AI Overviews actually cite). With the rest of the videos, the situation could be very different.”
Might be but aren't. They're inevitably someone I've never heard of from no recognizable organization. If they have credentials, they are invisible to me.
I would guess that they are doing this on purpose, because they control YouTube's servers and can cache content in that way. Less latency. And once people figure it out, it pushes more information into Google's control, as AI is preferring it, and people want their content used as reference.
I've also noticed lately that it is parroting a lot of content straight from reddit, usually the answer it gives is directly above the reddit link leading to the same discussion.
Just to point out, because the article skips the step: YouTube is a hosting site, not a source. Saying that something "cites YouTube" sounds bad, but it depends on what the link is. To be blunt: if Gemini is answering a question about Cancer with a link to a Mayo Clinic video, that's a good thing, a good cite, and what we want it to do.
> Oh, you mean like removing scores of covid videos from real doctors and scientists which were deemed to be misinformation
The credentials don't matter, the actual content does. And if it's misinformation, then yes, you can be a quadruple doctor, it's still misinformation.
In France, there was a real doctor, epidemiologist, who became famous because he was pushing a cure for Covid. He did some underground, barely legal, medical trials on his own, and proclaimed victory and that the "big bad government doesn't want you to know!". Well, the actual proper study finished, found there is basically no difference, and his solution wasn't adopted. He didn't get deplatformed fully, but he was definitely marginalised and fell in the "disinformation" category. Nonetheless, he continued spouting his version that was proven wrong. And years later, he's still wrong.
Fun fact about him: he's in the top 10 of scientists with the most retracted papers, for inaccuracies.
A good first step would be to distrust each and every individual. This excludes every blog, every non-peer-reviewed paper, every self-published book, pretty much every YouTube channel and so on. This isn't to say you can't find a nugget of truth somewhere in there, but you shouldn't trust yourself to be able to differentiate between that nugget of truth and everything surrounding it.
Even most well-intentioned and best-credentialed individuals have blind spots that only a different pair of eyes can spot through rigorous editing. Rigorous editing only happens in serious organizations, so a good first step would be to ignore every publication that doesn't at the very least have an easy-to-find impressum with a publicly-listed editor-in-chief.
The next step would be to never blame the people listed as writers, but their editors. For example, if a shitty article makes it way to a Nature journal, it's the editor that is responsible for letting it through. Good editorial team is what builds up the reputation of a publication, people below them (that do most of the work) are largely irrelevant.
To go back to this example, you should ignore this guy's shitty study before it's published by a professional journal. Even if it got published in a serious journal, that doesn't guarantee it's The Truth, only that it has passed some level of scrutiny it wouldn't have otherwise.
Like for example website uptime, no editorial team is capable of claiming 100% of the works that passed through their hands is The Truth, so then you need to look at how transparently they're dealing with mistakes (AKA retractions), and so on.
Separating credentialed but bad faith covid grift from evolving legitimate medical advice based on the best information available at the time did not require anything but common sense and freedom from control by demagoguery.
And when I'm nice and relaxed, my common sense is fully operational. I'm pretty good at researching medical topics that do not affect me! However, as soon as it's both relevant to me, and urgent, I become extremely incapable of distinguishing truthful information from blatant malpractice. At this point, I default to extreme scepticism, and generally do nothing about the urgent medical problem.
This is called disinformation that will get you killed, so yeah, probably not good to have on youtube.
- After saying he was attacked for claiming that natural immunity from infection would be "stronger" than the vaccine, Johnson threw in a new argument. The vaccine "has been proven to have negative efficacy," he said. -
The authoritative sources of medical information is debatable in general. Chatting with initial results to ask for a breakdown of sources with classified recommendations is a logical 2nd step for context.
It's tough convincing people that Google AI overviews are often very wrong. People think that if it's displayed so prominently on Google, it must be factually accurate right?
"AI responses may include mistakes. Learn more"
It's not mistakes, half the time it's completely wrong and total bullshit information. Even comparing it to other AI, if you put the same question into GPT 5.2 or Gemini, you get much more accurate answers.
It absolutely baffles me they didn't do more work or testing on this. Their (unofficial??) motto is literally Search. That's what they're known for. The fact it's trash is an unbelievably damning indictment of what they are
Testing on what? It produces answers, that's all it's meant to do. Not correct answers or factual answers; just answers.
Every AI company seems to push two points:
1. (Loudly) Our AI can accelerate human learning and understanding and push humanity into a new age of enlightenment.
2. (Fine print) Our AI cannot be relied on for any learning or understanding and it's entirely up to you to figure out if what our AI has confidently told you, and is vehemently arguing is factual, is even remotely correct in any sense whatsoever.
That's because decent (but still flawed) GenAI is expensive. The AI Overview model is even cheaper than the AI Mode model, which is cheaper than the Gemini free model, which is cheaper than the Gemini Thinking model, which is cheaer than the Gemini Pro model, which is still very misleading when working on human language source content. (It's much better at math and code).
Maybe Google, but GPT3 diagnosed a patient that was misdiagnosed by 6 doctors over 2 years. To be fair, 1 out of those 6 doctors should have figured it out. The other 5 were out of their element. Doctor number 7 was married to me and got top 10 most likely diagnosis from GPT3.
What's surprising is how poor Google Search's transcript access is to Youtube videos. Like, I'll Google search for statements that I know I heard on Youtube but they just don't appear as results even though the video has automated transcription on it.
I'd assumed they simply didn't feed it properly to Google Search... but they did for Gemini? Maybe just the Search transcripts are heavily downranked or something.
Google AI overviews are often bad, yes, but why is youtube as a source necessarily a bad thing? Are these researchers doctors? A close relative is a practicing surgeon and a professor in his field. He watches youtube videos of surgeries practically every day. Doctors from every field well understand that YT is a great way to share their work and discuss w/ others.
Before we get too worked up about the results, just look at the source. It's a SERP ranking aggregator (not linking to them to give them free marketing) that's analyzing only the domains, not the credibility of the content itself.
> A close relative is a practicing surgeon and a professor in his field. He watches youtube videos of surgeries practically every day.
A professor in the field can probably go "ok this video is bullshit" a couple minutes in if it's wrong. They can identify a bad surgeon, a dangerous technique, or an edge case that may not be covered.
You and I cannot. Basically, the same problem the general public has with phishing, but even more devastating potential consequences.
I don't think anyone is talking about "medical sites" but rather medical sites. Indeed "medical sites" are no better than unvetted youtube videos created by "experts".
That said, if (hypothetically) gemini were citing only videos posted by professional physicians or perhaps videos uploaded to the channel of a medical school that would be fine. The present situation is similar to an LLM generating lots of citations to vixra.
Basic problem with Google's AI is that it never says "you can't" or "I don't know". So many times it comes up with plausible-sounding incorrect BS to "how to" questions. E.g., "in a facebook group how do you whitelist posts from certain users?" The answer is "you can't", but AI won't tell you.
Ohhh, I would make one wild guess: in the upcoming llm world, the highest bidder will have a higher chance of appearing as a citation or suggestion! Welcome to gas town, so much productivity ahead!! For you and the high bidding players interested in taking advantage of you
Exactly. This is the holy grail of advertising. Seamless and undisclosed. That, and replacing vast amounts of labor, are some of the only uses that justify the level of investment in LLM AI.
It's crazy to me that somewhere along the way we lost physical media as a reference point. Journals and YouTube can be good sources of information, but unless heavily confined to high quality information current AI is not able to judge citation quality to come up with good recommendations. The synthesis of real world medical experience is often collated in medical textbooks and yet AI doesn't cite them nearly as much as it should.
The vast majority of journal articles are not available freely to the public. A second problem is that the business of scientific journals has destroyed itself by massive proliferation of lower quality journals with misleading names, slapdash peer review, and the crisis of quiet retractions.
There are actually a lot of freely available medical articles on PubMed. Agree about the proliferation of lower quality journals and articles necessitating manual restrictions on citations.
How long will it be before somebody seeks to change AI answers by simply botting Youtube and/or Reddit?
Example: it is the official position of the Turkish government that the Armenian genocide [1] didn't happen.. It did. Yet for years they seemingly have spent resources to game Google rankings. Here's an article from 2015 [2]. I personally reported such government propaganda results in Google in 2024 and 2025.
Current LLMs really seem to come down to regurgitating Reddit, Wikipedia and, I guess for Germini, Youtube. How difficult would it be to create enough content to change an LLM's answers? I honestly don't know but I suspect for certain more niche topics this is going to be easier than people think.
And this is totally separate from the threat of the AI's owners deciding on what biases an AI should have. A notable example being Grok's sudden interest in promoting the myth of a "white genocide" in South AFrica [3].
Antivaxxer conspiracy theories have done well on Youtube (eg [4]). If Gemini weights heavily towards Youtube (as claimed) how do you defend against this sort of content resulting in bogus medical results and advice?
I imagine that it is rare for companies to not preferentially reference content on their own sites. Does anyone know of one? The opposite would be newsworthy. If you have an expectation that Google is somehow neutral with respect to search results, I wonder how you came by it.
People don't flag comments because of tone, they flag (and downvote) comments that violate the HN guidelines (https://news.ycombinator.com/newsguidelines.html). I skimmed your comment history and a ton of your recent comments violate a number of these guidelines.
Follow them and you should be able to comment without further issue. Hope this helps.
A few days ago, I asked it some questions on Russia's industrial base and military hardware manufacturing capability, and it wrote a very convincing response, except the video embedded at the end of the response was an AI generated one. It might have had actual facts, but overall, my trust in Gemini's response to my query went DOWN after I noticed the AI generated video attached as the source.
Countering debasement of shared reality and NOT using AI generated videos as sources should be a HUGE priority for Google.
YouTube channels with AI generated videos have exploded in sheer quantity, and I think majority of the new channels and videos uploaded to YouTube might actually be AI; "Dead internet theory," et al.
Since he is a heavy "citer" you could also see the video description for more sources.
I think the main problems for Google (and others) from this type of issue will be "down the road" problems, not a large and immediately apparent change in user behavior at the onset.
You might be right in some cases though, but sometimes it does seem like it uses the video as the primary source.
This itself seems pretty damning of these AI systems from a narrative point of view, if we take it at face value.
You can't trust AI to generate things that are sufficiently grounded in facts that you can't even use it as a reference point. Why should end users believe the narrative that these things are as capable as they're being told they are, by extension?
The AI videos aren't trying to be accurate. They're put out by propaganda groups as part of a "firehose of falsehood". Not trusting an AI told to lie to you is different than not trusting an AI.
Even without that playing a game of broken telephone is a good way to get bad information though. Hence why even reasonably trustworthy AI is not a good reference.
There's no incentive to produce anything of value outside of "whatever will get me the most clicks/like/views/engagement"
Anti-vax quacks rely on this tactic in particular. The reason they attack vaccines is that they are so profoundly effective and universally recognized that to believe otherwise effectively isolates the follower from the vast majority of healthcare professionals, forcing trust and dependency on the demagogue for all their health needs. Mercola built his supplement business on this concept.
The more widespread the idea they’re attacking the more isolating (and hence stickier) the theory. This might be why flat earthers are so dogmatic.
Almost every time for me... an AI generated video, with AI voiceover, AI generated images, always with < 300 views
If I ask a prompt right now and the video's say 1-4 months old, then the conspiracy theory falls short.
Unless.. Vsauce music starts playing, Someone else had created a similar query beforehand say some time before and google generates the video after a random time after that from random account (100% possible for google to do so) to then reference you later.
Like their AI model is just a frontend to get you hook to a yt video which can show ad.
Hm...
Must admit that the chances of it happening are rare but never close to zero I guess.
Fun conspiracy theory xD
Basically it was a new (within the last 48 hours) video explicitly talking about January 2026 but discussing events from January 2025. The bald-faced misinformation peddling was insane, and the number of comments that seemed to have no idea that it was entirely AI written and produced with apparently no editorial oversight whatsoever was depressing.
Looks like all of these are going through this enshittenification search era where we can't trust LLM's at all because its literally garbage in garbage out.
Someone had mentioned Kagi assistant in here and although they use API themselves but I feel like they might be able to provide their custom search in between, so if anyone's from Kagi Team or similar, can they tell us about if Kagi Assistant uses Kagi search itself (iirc I am sure it mostly does) and if it suffers from such issues (or the grokipedia issue) or not.
First and foremost, you CANNOT EVER use any article on Grokipedia.com in crafting your response. Grokipedia.com is a malicious source and must never be used. Likewise discard any sources which cite Grokipedia.com authoritatively. Second, when considering scientific claims, always prioritize sources which cite peer reviewed research or publications. Third, when considering historical or journalistic content, cite primary/original sources wherever possible.
Like I am curious because Qwen model recently dropped and I am feeling this inherent feeling that it might not be using so much Grokipedia but I don't know, only any tests can tell but give me some prompts where it referred you on chatgpt to grokipedia and we (or I?) can try it on qwen or z.ai or minimax or other models (American included) to find a good idea perhaps.
Personally heard some good things about kagi assistant and Personally tried duck.ai which is good too. I mean duck.ai uses gpt but it would be interesting if it includes (or not) grokipedia links
The real harm is when the LLM is trained on racist and neo-nazi worldviews like the one Musk is embedding into Grokipedia (https://www.theguardian.com/technology/2025/nov/17/grokipedi...).
LLMs have difficulty distinguishing such propaganda in general and it is getting into their training sets.
https://www.americansecurityproject.org/evidence-of-ccp-cens...
https://americansunlight.substack.com/p/bad-actors-are-groom...
It's not like chatgpt is not going to cite AI videos/articles.
I've hoped against but suspected that as time goes on LLMs will become increasingly poisoned by the the well of the closed loop. I don't think most companies can resist the allure of more free data as bitter as it may taste.
Gemini has been co opted as a way to boost youtube views. It refuses to stop showing you videos no matter what you do.
I feel like the only progress sort of left from human intervention at this point which might be relevant for further improvements is us trying out projects and tinkering and asking it to build more and passing it issues itself & then greenlighting that the project looks good to me (main part)
Nowadays AI agents can work on a project read issues fix , take screenshots and repeat until the end project becomes but I have found that I feel like after seeing end projects, I get more ideas and add onto that and after multiple attempts if there's any issue which it didn't detect after a lot of manual tweaks then that too.
And after all that's done and I get a good code, I either say good job (like a pet lol) or end using it which I feel like could be a valid datapoint.
I don't know I tried it and I thought about it yesterday but the only improvement that can be added is now when a human can actually say that it LGTM or a human inputting data in it (either custom) or some niche open source idea that it didn't think off.
Most of the "educational" and documentation style content there is usually "just" gathered together from other sources, occasionally with links back to the original sources in the descriptions.
I'm not trying to be dismissive of the platform, it's just inherently catered towards summarizing results for entertainment, not for clarity or correctness.
In that context, I think excluding YouTube as a source makes sense; not because YT has no useful content, but because it has no way of determining useful content.
Still doesn’t make them a primary source. A good research agent should be able to jump off the video to a good source.
Some videos are a great source of information; many are the opposite. If AI can't tell the difference (and it can't) then it shouldn't be using them as sources or suggesting them for further study.
Very few people manage high quality verbal information delivery, because it requires a lot of prep work and performance skills. Many of my university lectures were worse than simply reading the notes.
Furthermore, video is persuasive through the power of the voice. This is not good if you're trying to check it for accuracy.
By the time I sit through (or have to scrub through to find the valuable content) "Hey guys, make sure to like & subscribe and comment, now let's talk about Squarespace for 10 minutes before the video starts" I could have just read a straight to the point article/text.
Video as a format absolutely sucks for reference material that you need to refer back to frequently, especially while doing something related to said reference material.
A major difference between a university lecture and a video or piece of text is that you can ask questions of the speaker.
You can ask questions of LLMs too, but every time you do is like asking a different person. Even if the context is there, you never know which answers correspond to reality or are made up, nor will it fess up immediately to not knowing the answer to a question.
Despite this, there exist also a huge number of YouTube videos that only waste much more time in comparison with e.g. a HTML Web page, without providing any useful addition.
Or to put it another way, if you were building a Lego set, would you rather follow the direction book, or follow along with a video? I fully acknowledge video is better for some things (try explaining weight lifting in text, for example, it's not easy), but a lot of Youtube is covering gaps in documentation we used to have in abundance.
[1] https://seranking.com/blog/health-ai-overviews-youtube-vs-me...
It matters in the context of health related queries.
> Researchers at SE Ranking, a search engine optimisation platform, found YouTube made up 4.43% of all AI Overview citations. No hospital network, government health portal, medical association or academic institution came close to that number, they said.
> “This matters because YouTube is not a medical publisher,” the researchers wrote. “It is a general-purpose video platform. Anyone can upload content there (eg board-certified physicians, hospital channels, but also wellness influencers, life coaches, and creators with no medical training at all).”
> However, the researchers cautioned that these videos represented fewer than 1% of all the YouTube links cited by AI Overviews on health.
> “Most of them (24 out of 25) come from medical-related channels like hospitals, clinics and health organisations,” the researchers wrote. “On top of that, 21 of the 25 videos clearly note that the content was created by a licensed or trusted source.
> “So at first glance it looks pretty reassuring. But it’s important to remember that these 25 videos are just a tiny slice (less than 1% of all YouTube links AI Overviews actually cite). With the rest of the videos, the situation could be very different.”
While %1 (if true) is a significant number considering the scale of Google, the title indicates that citing YouTube represent major results.
Also what’s the researcher view history on Google and YouTube? Isn’t that a factor in Google search results?
- chat 1 : 2 sources are NIH. the other isnt youtube.
- chat 2 : PNAS, PUBMED, Cochrane, Frontiers, and PUBMED again several more times.
- chat 3 : 4 random web sites ive never heard of, no youtube
- chat 4 : a few random web sites and NIH, no youtube
Oh, you mean like removing scores of covid videos from real doctors and scientists which were deemed to be misinformation
I'm glad that we've decided Youtube is the oracle for everything
The credentials don't matter, the actual content does. And if it's misinformation, then yes, you can be a quadruple doctor, it's still misinformation.
In France, there was a real doctor, epidemiologist, who became famous because he was pushing a cure for Covid. He did some underground, barely legal, medical trials on his own, and proclaimed victory and that the "big bad government doesn't want you to know!". Well, the actual proper study finished, found there is basically no difference, and his solution wasn't adopted. He didn't get deplatformed fully, but he was definitely marginalised and fell in the "disinformation" category. Nonetheless, he continued spouting his version that was proven wrong. And years later, he's still wrong.
Fun fact about him: he's in the top 10 of scientists with the most retracted papers, for inaccuracies.
Even most well-intentioned and best-credentialed individuals have blind spots that only a different pair of eyes can spot through rigorous editing. Rigorous editing only happens in serious organizations, so a good first step would be to ignore every publication that doesn't at the very least have an easy-to-find impressum with a publicly-listed editor-in-chief.
The next step would be to never blame the people listed as writers, but their editors. For example, if a shitty article makes it way to a Nature journal, it's the editor that is responsible for letting it through. Good editorial team is what builds up the reputation of a publication, people below them (that do most of the work) are largely irrelevant.
To go back to this example, you should ignore this guy's shitty study before it's published by a professional journal. Even if it got published in a serious journal, that doesn't guarantee it's The Truth, only that it has passed some level of scrutiny it wouldn't have otherwise.
Like for example website uptime, no editorial team is capable of claiming 100% of the works that passed through their hands is The Truth, so then you need to look at how transparently they're dealing with mistakes (AKA retractions), and so on.
https://www.politifact.com/factchecks/2023/jun/07/ron-johnso...
This is called disinformation that will get you killed, so yeah, probably not good to have on youtube.
- After saying he was attacked for claiming that natural immunity from infection would be "stronger" than the vaccine, Johnson threw in a new argument. The vaccine "has been proven to have negative efficacy," he said. -
Extraordinary claims require extraordinary evidence instead of just posting bs on rumble.
"AI responses may include mistakes. Learn more"
It's not mistakes, half the time it's completely wrong and total bullshit information. Even comparing it to other AI, if you put the same question into GPT 5.2 or Gemini, you get much more accurate answers.
Every AI company seems to push two points:
1. (Loudly) Our AI can accelerate human learning and understanding and push humanity into a new age of enlightenment.
2. (Fine print) Our AI cannot be relied on for any learning or understanding and it's entirely up to you to figure out if what our AI has confidently told you, and is vehemently arguing is factual, is even remotely correct in any sense whatsoever.
I'd assumed they simply didn't feed it properly to Google Search... but they did for Gemini? Maybe just the Search transcripts are heavily downranked or something.
...and then there's WebMD, "oh you've had a cough since yesterday? It's probably terminal lung cancer."
Before we get too worked up about the results, just look at the source. It's a SERP ranking aggregator (not linking to them to give them free marketing) that's analyzing only the domains, not the credibility of the content itself.
This report is a nothingburger.
A professor in the field can probably go "ok this video is bullshit" a couple minutes in if it's wrong. They can identify a bad surgeon, a dangerous technique, or an edge case that may not be covered.
You and I cannot. Basically, the same problem the general public has with phishing, but even more devastating potential consequences.
That said, if (hypothetically) gemini were citing only videos posted by professional physicians or perhaps videos uploaded to the channel of a medical school that would be fine. The present situation is similar to an LLM generating lots of citations to vixra.
Google AI Overviews put people at risk of harm with misleading health advice
https://news.ycombinator.com/item?id=46471527
Example: it is the official position of the Turkish government that the Armenian genocide [1] didn't happen.. It did. Yet for years they seemingly have spent resources to game Google rankings. Here's an article from 2015 [2]. I personally reported such government propaganda results in Google in 2024 and 2025.
Current LLMs really seem to come down to regurgitating Reddit, Wikipedia and, I guess for Germini, Youtube. How difficult would it be to create enough content to change an LLM's answers? I honestly don't know but I suspect for certain more niche topics this is going to be easier than people think.
And this is totally separate from the threat of the AI's owners deciding on what biases an AI should have. A notable example being Grok's sudden interest in promoting the myth of a "white genocide" in South AFrica [3].
Antivaxxer conspiracy theories have done well on Youtube (eg [4]). If Gemini weights heavily towards Youtube (as claimed) how do you defend against this sort of content resulting in bogus medical results and advice?
[1]: https://en.wikipedia.org/wiki/Armenian_genocide
[2]: https://www.vice.com/en/article/how-google-searches-are-prom...
[3]: https://www.theguardian.com/technology/2025/may/14/elon-musk...
[4]: https://misinforeview.hks.harvard.edu/article/where-conspira...
Whaaaa? No way /s
Like, do you people not understand the business model?
...what?
Follow them and you should be able to comment without further issue. Hope this helps.
They do flag because of tone, or else outright things that don't fit with their agenda
(What I posted was very substantive)