> Yeah that’s very true, but I still think it’s pretty funny and original.
Either it’s formulaic or it’s original, it can’t be both.
When I see "yeah but it's funny" it feels like a retrofitted repair job, patching up a first pass mental impression that accepted it at face value and wants to preserve a kind of sense of psychological endorsement of the creative product.
Though I agree that the LLM perhaps didn't "intend" that.
But good job googling this and getting fooled by an LLM
Humor isn't exactly a strong point of LLMs, but here it's tapped into the formulaic hive mind of HN, and it works as humor!
You can use: https://news.ycombinator.com/front?day=2025-12-04 to get the frontpage on a given date.
It's formulaic yeah, but that's what puts it into the realm of hilarious parody.
This was wonderful. 3000 points? I mean, fuck. Among the biggest posts of all time, and definitely of Show HN. Funny for me is that all the work I've done in the last 10 years, probably 100 Show HN's all different, this was by far the hugest. Could be months of work, no interest. And this thing, which dropped into my mind, probably 30 minutes, demolished them all. It's hilarious that it even beat out legitimate AI posts, and contaminated search results with future stories.
One of the funniest things for me was hearing how people tabbed away from the page, only to come back and momentarily feel it was the actual HN page. Hahahahaha! :)
All I can say is, I love you all. Watching it stay at the top for 24 hours...it felt like it wasn't something I made at first. But it was. Cool
https://en.wikipedia.org/wiki/Taint_checking
https://semgrep.dev/docs/writing-rules/data-flow/taint-mode/...
In numerous shows these days AI is the big bad thing. Before that it was crypto. In the 1980s every bad guy was Russian, etc.
Examples: Shameless season 11, The Simpsons S31E13, Superstore season 5, the good wife S3E13, greys anatomy S14E8, big bang theory S11E9, Billions season 5, some later seasons of Mr Robot, etc
It amazes me that even with first-hand experience, so many people are convinced that "hallucination" exclusively describes what happens when the model generates something undesirable, and "bias" exclusively describes a tendency to generate fallacious reasoning.
These are not pitfalls. They are core features! An LLM is not sometimes biased, it is bias. An LLM does not sometimes hallucinate, it only hallucinates. An LLM is a statistical model that uses bias to hallucinate. No more, no less.