Google got one thing wrong and nearly destroyed the internet - people need to have an incentive to contribute content online, and that incentive should not be to game the system for advertising.
This in particular dawned on me when asking Claude for instructions in taking apart my dryer. There was literally only one webpage on the internet left with instructions for my particular dryer - the page was more or less unusable with rotten links and riddled with adware. Claude did it's best but filled in the missing diagrams with hallucinations.
I was imaging if LLMs could finally solve the micropayments solution people have always proposed for the internet. Part of my monthly payment gets split between all of the sites that the LLM scraped knowledge. Paid out like Spotify pays out artists.
It might not be a lot of money, but it would certainly be more than the pitiful ad revenue you get from posting content online right now. And if I want to upload corrected instructions for repairing this dryer I would have reason to.
As a software user I wish I could do the same for all the software I use.
\2 Why Crikey retracted an article that we found out was written with AI help (2026) - https://www.crikey.com.au/2026/03/19/crikey-responds-to-ai-c...
Yesterday, we published an article by a contributor who later confirmed they used AI in some aspects of its production.
This goes against our editorial policies. As a result, we’ve taken down the story and the preceding three stories in the series.
The Australian Media Watch team looked at this tension closely and felt the rejection was unfair, pointing out that while slop is bad, assistance (subject to terms and conditions) can enhance.
- Media Watch, likely geolocked to AU, might need a proxy - https://www.abc.net.au/mediawatch/episodes/ep-08/106487250
This sounds a direct callout to the incident earlier this year where an apparently sick staff member relied on an AI to reproduce quotes, and it did not. Ars retracted the article and the staffmember was fired.
I have felt very ethically uneasy about this because the person was ill, and I emailed the Ars editorial team directly to express concern re labour conditions, and to note that it is the editorial team's responsibility to do things like check quotes.
Of course it is the journalist's responsibility: when you have a job you do your job by policy (I wonder if this policy existed in writing at the time of the firing?) plus, it is part of the job to be accurate. But I am also a firm believer in responsibility being greater at higher levels. This sounds a direct abrogation of journalistic standards by the Ars editorial team.
"Apparently sick", you couldn't phrase it more accurately.
Kudos for firing them, the only valid course of action for a publisher.
> Reporters may use AI tools vetted and approved for our workflow to assist with research, including navigating large volumes of material, summarizing background documents, and searching datasets.
If this is their official policy, Ars Technica bears as much responsibility as the author they fired for the fabricated reporting. LLMs are terrible at accurately summarizing anything. They very randomly latch on to certain keywords and construct a narrative from them, with the result being something that is plausibly correct but in which the details are incorrect, usually subtly so, or important information is omitted because it wasn't part of the random selection of attention.
You cannot permit your employees to use LLMs in this manner and then tell them it's entirely their fault when it makes mistakes, because you gave them permission to use something that will make mistakes 100% without fail. My takeaway from this is to never trust anything that Ars reports because their policy is to rely on plausible generated fictional research and their solution to getting caught is to fire employees rather than taking accountability for doing actual research.
“Even then, AI output is never treated as an authoritative source. Everything must be verified.”
I believe this policy can never result in a positive outcome. The policy implicitly suggests that verification means taking shortcuts and letting fabrications slip through in the name of "efficiency", with the follow-up sentence existing solely so that Ars won't take accountability for enabling such a policy but instead place the blame entirely on the reporters it told to take shortcuts.
I get where you're coming from (I'm learning more and more over time that every sentence or line of code I "trust" an AI with, will eventually come back to bite me), but this is too absolutist. Really, no positive result, ever, in any context? We need more nuanced understanding of this technology than "always good" or "always bad."
Sometimes you have a weak hunch that may take hours to validate. Putting an LLM to doing the preliminary investigation on that can be fruitful. Particularly if, as if often the case, you don't have a weak hunch, but a small basket of them.
Didn't one of the magazine's editors share the byline?
I think you are perhaps stuck in 2023?
As opposed to what? This is a little facetious, but what could it possibly mean to have creative direction and editorial judgement without human involvement?
Presumably we're talking about image generated by a diffusion model or something, but further, an image which is generated without being edited by any human. The prompt used to generate the image isn't written by a human, and it can't really be based on the contents of the (human authored and edited) article either. No human may select the service or model used, and once generated the image is published sight unseen without being reviewed by any human.
If some kind of agentic AI does any of these things it is one which appears ex nihilo, spontaneously appearing without being created or directed by any human.
The same will most likely happen with human written news and cheap AI slop news. Why would anyone pay more for higher quality when you can have low quality cheap product?
Look at food for example. Price is most important factor in the choice of what you are going to buy. I will probably not happen now, in few months or in even few years but it will happen if models will still be advancing.
How is this different from anyone else publishing AI slop images on their blog? Those people also direct the AI through prompting and evaluate the results.
I mean, use AI images, so long as they are not crap, but why keep up this charade of "we're authoring the slop".
"An AI agent of unknown ownership autonomously wrote and published a personalized hit piece about me after I rejected its code, attempting to damage my reputation and shame me into accepting its changes into a mainstream python library.
...
I’ve talked to several reporters, and quite a few news outlets have covered the story. Ars Technica wasn’t one of the ones that reached out to me, but I especially thought this piece from them was interesting (since taken down – here’s the archive link). They had some nice quotes from my blog post explaining what was going on. The problem is that these quotes were not written by me, never existed, and appear to be AI hallucinations themselves.
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.
...
Update: Ars Technica issued a brief statement admitting that AI was used to fabricate these quotes" [1].
[1] https://theshamblog.com/an-ai-agent-published-a-hit-piece-on...
Discussion: https://news.ycombinator.com/item?id=47009949
Ars Technica fires reporter after AI controversy involving fabricated quotes (606 points, 394 comments)
https://news.ycombinator.com/item?id=47226608
Editor's Note: Retraction of article containing fabricated quotations (308 points, 211 comments)
gnabgib•2h ago