When an article is retracted it's standard to at least mention the title and what specific information was incorrect so that anyone who may have read, cited or linked it is informed what information was inaccurate. That's actually the point of a retraction and without it this non-standard retraction has no utility except being a fig leaf for Ars to prevent external reporting becoming a bigger story.
In the comments I found a link to the retracted article: https://arstechnica.com/ai/2026/02/after-a-routine-code-reje.... Now that I know which article, I know it's one I read. I remember the basic facts of what was reported but I don't recall the specifics of any quotes. Usually quotes in a news article support or contextualize the related facts being reported. This non-standard retraction leaves me uncertain if all the facts reported were accurate.
It's also common to provide at least a brief description of how the error happened and the steps the publication will take to prevent future occurrences.. I assume any info on how it happened is missing because none of it looks good for Ars but why no details on policy changes?
Edit to add more info: I hadn't yet read the now-retracted original article on achive.org. Now that I have I think this may be much more interesting than just another case of "lazy reporter uses LLM to write article". Scott, the person originally misquoted, also suspects something stranger is going on.
> "This blog you’re on right now is set up to block AI agents from scraping it (I actually spent some time yesterday trying to disable that but couldn’t figure out how). My guess is that the authors asked ChatGPT or similar to either go grab quotes or write the article wholesale. When it couldn’t access the page it generated these plausible quotes instead, and no fact check was performed."
https://theshamblog.com/an-ai-agent-published-a-hit-piece-on...
My theory is a bit different than Scott's: Ars appears to use an automated tool which adds text links to articles to increase traffic to any related articles already on Ars. If that tool is now LLM-based to allow auto-generating links based on concepts instead of just keywords, perhaps it mistakenly has unconstrained access to changing other article text! If so, it's possible the author and even the editors may not be at fault. The blame could be on the Ars publishers using LLMs to automate monetization processes downstream of editorial. Which might explain the non-standard vague retraction. If so, that would make for an even more newsworthy article that's directly within Ars' editorial focus.