[abixb]

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.

[shevy-java]

> 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.

Yeah. This has really become a problem.

Not for all videos; music videos are kind of fine. I don't listen to music generated by AI but good music should be good music.

The rest has unfortunately really gotten worse. Google is ruining youtube here. Many videos now contain real videos, and AI generated videos, e. g. animal videos. With some this is obvious; other videos are hard to expose as AI. I changed my own policy - I consider anyone using AI and not declaring this properly, a cheater I don't want to ever again interact with (on youtube). Now I need to find a no-AI videos extension.

[mikkupikku]

I've seen remarkably little of this when browsing youtube with my cookie (no account, but they know my preferences nonetheless.) Totally different story with a clean fresh session though.

One that slipped through, and really pissed me off because it tricked me for a few minutes, was a channel purportedly uploading videos of Richard Feynman explaining things, but the voice and scripts are completely fake. It's disclosed in small print in the description. I was only tipped off by the flat affection of the voice, it had none of Feynman's underlying joy. Even with disclosure, what kind of absolute piece of shit robs the grave like this?

[delecti]

All of that and you're still a heavy user? Why would google change how Gemini works if you keep using it despite those issues?

[no_carrier]

Every single LLM out there suffers from this.

[zamadatix]

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.

[citizenpaul]

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.

[Imustaskforhelp]

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.

[darth_aardvark]

> I don't think most companies can resist the allure of more free data as bitter as it may taste.

Mercor, Surge, Scale, and other data labelling firms have shown that's not true. Paid data for LLM training is in higher demand than ever for this exact reason: Model creators want to improve their models, and free data no longer cuts it.

[tehjoker]

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.

[lm28469]

> Gemini cites lots of "AI generated" videos as its primary source

Almost every time for me... an AI generated video, with AI voiceover, AI generated images, always with < 300 views

[wormpilled]

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.

[no_wizard]

>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?

[gpm]

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.

[JumpCrisscross]

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.

[storystarling]

I suspect Kagi is running a multi-step agentic loop there, maybe something like a LangGraph implementation that iterates on the context. That burns a lot of inference tokens and adds latency, which works for a paid subscription but probably destroys the unit economics for Google's free tier. They are likely restricted to single-pass RAG at that scale.

[krior]

If you are still looking for material, I'd like to recommend you Perun and the last video he made on that topic: https://youtu.be/w9HTJ5gncaY

Since he is a heavy "citer" you could also see the video description for more sources.

[abixb]

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.

[titzer]

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.

[alex1138]

Isn't it cute when they do these things while demonetizing legitimate channels?

[WarmWash]

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"

[smashed]

I've had numerous searches literally give out text from the video and link to the precise part of the video containing the same text.

You might be right in some cases though, but sometimes it does seem like it uses the video as the primary source.

[datsci_est_2015]

> A few days ago, I asked it some questions on Russia's industrial base and military hardware manufacturing capability

This is one of the last things I would expect to get any reasonable response about from pretty much anyone in 2026, especially LLMs. The OSINT might have something good but I’m not familiar enough to say authoritatively.

[chasd00]

yeah that's a very difficult question to answer period. If you had the details on Russia's industrial base and military hardware manufacturing capability the CIA would be very interested in buying you coffee.

[themafia]

> and has the potential to debase shared reality.

If only.

What it actually has is the potential to debase the value of "AI." People will just eventually figure out that these tools are garbage and stop relying on them.

I consider that a positive outcome.

[gretch]

Every other source for information, including (or maybe especially) human experts can also make mistakes or hallucinate.

The reason ppl go to LLMs for medical advice is because real doctors actually fuck up each and everyday.

For clear, objective examples look up stories where surgeons leave things inside of patient bodies post op.

Here’s one, and there many like it.

https://abc13.com/amp/post/hospital-fined-after-surgeon-leav...

[WheatMillington]

People used to tell me the same about Wikipedia.

[Imustaskforhelp]

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.

[mrtesthah]

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.

[freediver]

Correct, Kagi Assistant uses Kagi Search - with all modifications user made (eg blocked domains, lenses etc).

[panki27]

Ourobouros - The mythical snake that eats its own tail (and ingests its own excrement)

[iammjm]

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? ...

[suriya-ganesh]

Google is in a much better spot to filter out all AI generated content than others.

It's not like chatgpt is not going to cite AI videos/articles.

[fumar]

Users a can turn off grounded search in the Gemini API. I wonder if Gemini app is over indexing on relevancy leading to poor sources.

[mmooss]

So how does one avoid the mistake again? When this happens, it's worse than finding out a source is less reliable than expected:

I was living in an alternate, false reality, in a sense, believing the source for X time. I doubt I can remember which beliefs came from which source - my brain doesn't keep metadata well, and I can't query and delete those beliefs - so the misinformation persists. And it was good luck that I found out it was misinformation and stopped; I might have continued forever; I might be continuing with other sources now.

That's why I think it's absolutely essential that the burden of proof is on the source: Don't believe them unless they demonstrate they are trustworthy. They are guilty until proven innocent. That's how science and the law work, for example. That's the only innoculation against misinformation, imho.

[danudey]

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.

[mrtesthah]

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!

[didntknowyou]

unfortunately i think a lot of AI models put more weighting on videos as they were harder to fake than a random article on the internet. of course that is not the case anymore with all the AI slop videos being churned out