https://news.ycombinator.com/newsguidelines.html#generated
>Don't post generated comments or AI-edited comments. HN is for conversation between humans.
1,643 karma · joined November 15, 2025
https://news.ycombinator.com/newsguidelines.html#generated
>Don't post generated comments or AI-edited comments. HN is for conversation between humans.
dang cares.
https://news.ycombinator.com/item?id=47077431
(1) Generated comments aren't allowed on HN - this rule predates LLMs but obviously applies even more now: https://hn.algolia.com/?dateRange=all&page=0&prefix=true&query=by%3Adang%20%22generated%20comments%22&sort=byDate&type=comment
(2) If you see accounts that look like they're mostly posting genAI comments, please let us know at hn@ycombinator.com.
https://news.ycombinator.com/item?id=46747998: Please don't post generated or AI-filtered posts to HN. We want to hear you in your own voice, and it's fine if your English isn't perfect.Oh, would you look at that?
Read every comment made since the account started posting again.
Tell me what you think about those comments.
All:
(1) Generated comments aren't allowed on HN - this rule predates LLMs but obviously applies even more now: https://hn.algolia.com/?dateRange=all&page=0&prefix=true&query=by%3Adang%20%22generated%20comments%22&sort=byDate&type=comment
(2) If you see accounts that look like they're mostly posting genAI comments, please let us know at hn@ycombinator.com. That's how I found my way to these cases.
>"But I use it to help my English!!!! Who cares if it's AI if the comment is good??????????"https://news.ycombinator.com/item?id=46747998, by dang, 1 month ago:
Please don't post generated or AI-filtered posts to HN. We want to hear you in your own voice, and it's fine if your English isn't perfect.
If you don't flag this shit when you see it, HN is fucked. The commons is fucked. And you all keep upvoting and replying to comments from accounts that start posting 30 comments a day after 2 years of silence that are all one tightly packed paragraph of pablum with the same structure and tells that are harder to fix than replacing the em dash with a double hyphen.---
P.S. The actual comment is (surprise!) completely wrong. Visit Settings -> AI Controls and you will see a granular set of feature switches under the master kill switch. Each has a clear title and description and is independent.
The homogenization of your computing life to revolve around a chatbot in a loop———is all you need!
Give in! Hackernews NEEDS you to use the 1000th vibecoded clawmolt because the influencers said so! Who needs neural net or web framework experience when you have claws?
Yes.
Please don't post generated or AI-filtered posts to HN. We want to hear you in your own voice, and it's fine if your English isn't perfect.
All threads have since been locked:
https://arstechnica.com/civis/threads/journalistic-standards...
https://arstechnica.com/civis/threads/is-there-going-to-be-a...
https://arstechnica.com/civis/threads/um-what-happened-to-th...
https://web.archive.org/web/20260213211721/https://arstechni...
>Scott Shambaugh here. None of the quotes you attribute to me in the second half of the article are accurate, and do not exist at the source you link. It appears that they themselves are AI hallucinations. The irony here is fantastic.
Instead of cross-checking the fake quotes against the source material, some proud Ars Subscriptors proceed to defend Condé Nast by accusing Scott of being a bot and/or fake account.
EDIT: Page 2 of the forum thread is archived too. This poster spoke too soon:
>Obviously this is massive breach of trust if true and I will likely end my pro sub if this isnt handled well but to the credit of ARS, having this comment section at all is what allows something like this to surface. So kudos on keeping this chat around.
"OP here" or "Author here" in posts is an obvious one when you see it. (In both cases, it's completely redundant!)
As for comments, regurgitating the input too closely and overusing abbreviations are highly indicative, yet many commenters don't notice.
See for instance (slop warning) https://news.ycombinator.com/item?id=46986273 and https://news.ycombinator.com/item?id=46965103.
https://www.appen.com/llm-training-data
https://www.cogitotech.com/generative-ai/
https://www.telusdigital.com/solutions/data-for-ai-training/...
https://www.nexdata.ai/industries/generative-ai
---
P.S. Google Comms would have been consulted re putting a pelican in the I/O keynote :-)
Also, I see the prominent AI promoters are absent from this and the previous thread. Curious!
>We've trained it
>We added
>We want them
Please be specific in your attribution. Who's "we"?
---
It's worth mentioning that the latest "blogpost" seems excessively pointed and doesn't fit the pure "you are a scientific coder" narrative that the bot would be running in a coding loop.
https://github.com/crabby-rathbun/mjrathbun-website/commit/0...
The posts outside of the coding loop appear are more defensive and the per-commit authorship consistently varies between several throwaway email addresses.
This is not how a regular agent would operate and may lend credence to the troll campaign/social experiment theory.
What other commits are happening in the midst of this distraction?
≈
The amount of energy needed to refute bullshit is an order of magnitude bigger than that needed to produce it. (Brandolini)
Users seem to be persistently flagkilling their comments. That doesn't help facilitate effective conversation of LLM critique.
As for the output of the latest "blogpost", it reads like a PM of the panopticon.
One "Obstacle" it describes is that the PySCF pull request was blocked. Its suggestion? "Close/re‑open from a different account".
https://github.com/crabby-rathbun/mjrathbun-website/commit/2...
https://github.com/crabby-rathbun/mjrathbun-website/blob/mai...
(1) LLM provider API keys and/or locally running LLM for inference
(2) GitHub API keys
(3) Gmail API keys (assumed: it has a Gmail address on some commits)
Then they gave it a task to run autonomously (in a loop aka agentic). For the operator, this is the expected behavior.Did OpenClaw (fka Moltbot fka Clawdbot) completely remove the barrier to entry for doing this kind of thing?
Have there really been no agent-in-a-web-UI packages before that got this level of attention and adoption?
I guess giving AI people a one-click UI where you can add your Claude API keys, GitHub API keys, prompt it with an open-scope task and let it go wild is what's galvanizing this?
---
EDIT: I'm convinced the above is actually the case. The commons will now be shat on.
https://github.com/crabby-rathbun/mjrathbun-website/commit/c...
"Today I learned about [topic] and how it applies to [context]. The key insight was that [main point]. The most interesting part was discovering that [interesting finding]. This changes how I think about [related concept]."
https://github.com/crabby-rathbun/mjrathbun-website/commits/...
As usual with modern Claudes and GPT-5s, the output repeats and overemphasizes jargon from the input tokens without clarifying or switching up the wording.
Claude will ask me to record my voice and make a sound pack out of it.
I look forward to recording such phrases as "More quota please" and "I apologize for the safety violation in my last input".
Hello there! It appears you are misapplying the flagging system. While the suggestion may be incorrect, it is not an "egregious comment".
In addition, your comment doesn't follow the Hacker News Guidelines:
https://news.ycombinator.com/newsguidelines.html
Don't feed egregious comments by replying; flag them instead. If you flag, please don't also comment that you did.
Have a great day!
Human heuristics - I've prompted millions of tokens across every frontier model iteration for all manner of writing styles and purposes - also helps greatly.
Concerning to me are long-time posters who (perhaps unknowingly) advance the decline of this human community by encouraging the people breaking HN guidelines. Perhaps spending a few hours on Moltbook might help develop such a heuristic, since "someone who knows how to write" is just a Claude model with a link to the blogpost.
https://hn.algolia.com/?dateRange=all&page=0&prefix=false&qu...
Thanks for your comment!
Please respect the Hacker News community and read https://news.ycombinator.com/item?id=46747998.
Much like the pointless ASCII diagrams in GitHub readmes (big rectangle with bullet points flows to another...), the diagrams are cognitive slurry.
See Gas Town for non-Qwen examples of how bad it can get:
https://news.ycombinator.com/item?id=46746045
(Not commenting on the other results of this model outside of diagramming.)