AI Slop Is Destroying The Internet

What Hacker News said

Strong rec ColdStream · 2026-07 · on “How AI Slop Is Killing World War II History (YouTube Video)”

I'm glad they go in deep on the data feed back on this. Kurzgesagt made a great video on how this stuff gets generated, an article uses this, data sets get trained on this, and then future outputs will use the article as citation. [this video] This is the paradox to be addressed. In trying to make LLM's more accurate, we try to pin it to citations, but then that means having to trust that the citations are accurate. But having the citations generated by an LLM means it basically becomes impossible to confirm the accuracy. As it has been said anything after 2022 cannot be reliably trusted. You can do you due diligence but that is a lot of work if you can do it. Really highlights the idea that a li

Recommends zwnow · 2025-10 · on “Vibe engineering”

Absolutely. If the knowledge is verifiable. Kurzgesagt recently uploaded a video about this, its a lot harder to verify statements due to AI. Not easier. Here is the video in case you are interested: [this video]

Recommends ikiris · 2025-10 · on “You did no fact checking, and I must scream”

If you think this is trivial, I suggest watching the video kurzgesagt just did on the topic. It’s much harder than you appreciate and getting massively worse as the days go by due to ai garbage. [this video]

Cites likium · 2025-10 · on “Wikipedia says traffic is falling due to AI search summaries and social video”

Citing is not referencing links, it's finding primary sources and fact-checking. Kurzgesagt[1], an informational YouTube channel, has had issues with LLMs citing LLM generated content. [1]: [this video]

Cites CaptainOfCoit · 2025-10 · on “AI assistants misrepresent news content 45% of the time”

> Actually there was a Wikipedia article of this name, but it was deleted in June -- because it was AI generated. Unfortunately AI falls for this much like humans do. A recent Kurzgesagt goes into the dangers of this, and they found the same thing happening with a concrete example: They were researching a topic, tried using LLMs, found they weren't accurate enough and hallucinated, so they continued doing things the manual way. Then some weeks/months later, they noticed a bunch of YouTube videos that had the very hallucinations they were avoiding, and now their own AI assistants started to use those as sources. Paraphrased/remembered by me, could have some inconsistencies/hallucinations. [VI

Cites Joel_Mckay · 2025-10 · on “The end of the rip-off economy: consumers use LLMs against information asymmetry”

Except LLM derived cons also increase. [this video] Technology changes, but on average human-beings do not. =3

Cites Joel_Mckay · 2025-10 · on “How OpenAI uses complex and circular deals to fuel its multibillion-dollar rise”

Silicon valley capital investment firms have always exploited regulatory capture to "compete". The public simply has a ridiculously short memory of the losers pushed out of the market during the loss-leader to exploit transition phase. Currently, the trend is not whether one technology will outpace the other in the "AI" hype-cycle ( [LINK] ), but it does create perceived asymmetry with skilled-labor pools. That alone is valuable leverage to a corporation, and people are getting fired or ripped off anticipating the rise of real "AI". [this video] One day real "AI" may exist, but a LLM or current reasoning model is unlikely going to make that happen. It is absolutely hilarious there is a cult-like

Cites Joel_Mckay · 2025-11 · on “Lessons from interviews on deploying AI Agents in production”

The people outside the business of selling hype will not be keen on paying to break their business with popular liabilities. =3 [this video]