At least this example grew out of actual humans being suspicious.
Dozens of academics have raised concerns on social media about manuscripts and peer reviews submitted to the organizers of next year’s International Conference on Learning Representations (ICLR), an annual gathering of specialists in machine learning. Among other things, they flagged hallucinated citations and suspiciously long and vague feedback on their work.
Graham Neubig, an AI researcher at Carnegie Mellon University in Pittsburgh, Pennsylvania, was one of those who received peer reviews that seemed to have been produced using large language models (LLMs). The reports, he says, were “very verbose with lots of bullet points” and requested analyses that were not “the standard statistical analyses that reviewers ask for in typical AI or machine-learning papers.”
We seem to be in a situation where everybody knows that the review process has broken down, but the "studies" that show it are criti-hype.
Welcome to the abyss. It sucks here (academic edition).
Grimes used to come to my club nights in Vancouver, and one time a guy who didn't know who she was saw her dancing like an attention starved, crystal-gripping idiot, and he said to me "That's the kind of chick who would take a shit on your chest if you asked."
Tomorrow Grimes will DJ a livestream of immortality influencer Bryan Johnson tripping on shrooms to determine its effect on longevity. Mr. Beast and the CEO of Salesforce will be there too.
Now, folks out there are calling this a Biblically accurate blunt rotation, but to be fair, it's missing Aella.
If you're a physics crackpot who wants to publish in a prestigious-sounding journal, I recommend Nature Scientific Reports! You have a good chance of getting your paper in!
Try making it look like "Mass–Energy Equivalence Extension onto a Superfluid Quantum Vacuum". [...] This paper looks like a lot of the emails I get. It would never be published in a serious physics journal:
It's called Maximum Entropy (Most Likely) Double Helical and Double Logarithmic Spiral Trajectories in Space-Time. You have to read it!
My guess is that Nature Scientific Reports doesn't have mechanisms built in to enforce the oppressive hidebound orthodoxy that dominates the other physics journals. So if you have a revolutionary new theory, submit your paper here!!!
Flavio Nogueira in the comments:
I have been in a meeting with the editors of SRs and its editor in chief years ago during an APS March Meeting. I can tell you that some editors were truly pissed off, as papers rejected after peer reviewing ended up being published anyway...
What word do they want to unambiguously represent that concept now?
"Literally, not figuratively", said in a Sterling Archer voice.
The use of literally in a fashion that is hyperbolic or metaphoric is not new—evidence of this use dates back to 1769. Its inclusion in a dictionary isn't new either; the entry for literally in our 1909 unabridged dictionary states that the word is “often used hyperbolically; as, he literally flew.”
Hey y’all, looking for some tips here. I like what I’ve made so far with Suno but now I’m kind of hitting a wall with ideas for prompts. Why doesn’t Suno also have a feature to write prompts for you? Like just hit a button the says “new prompt” and then hit make song when it comes up with something that sounds interesting! Thoughts?
In interviews, 22 independent food creators said that AI-generated “recipe slop” is distorting nearly every way people find cooking advice online, damaging their businesses while causing consumers to waste time and money.
Across the internet, writers say their vetted recipes are hidden by the flood. Pinterest feeds are stuffed with AI-generated images of food that the attached instructions won’t achieve; Google’s AI Overviews surface error-filled cooking steps that siphon away clicks from professionals. Meanwhile, Facebook content farms use AI-generated images of supposedly delicious but impossible dishes to the top of people’s feeds, in an attempt to turn any clicks into ad revenue.
All of this, food bloggers say, erodes the simple promise of a recipe: that someone has actually cooked it before you have. To Gargano, this is the core issue. “No matter how clever the AI is,” she said in a recent interview, “it can never actually test a recipe in a real kitchen and see how it works.”
[...]
For Carrie Forrest, who runs Clean Eating Kitchen, AI has been devastating: 80% of her traffic — and her revenue — has disappeared in two years. Although the views started dropping when OpenAI’s ChatGPT was released, it wasn’t until Google launched AI Mode in search that her traffic collapsed, she said. Since then, she’s gone from employing about ten people to letting everyone go. “I’m going to have to find something else to do.”
This holiday season is on track to be Forrest’s slowest in years. She fears that if more content creators give up, the AI won’t have new content to draw from — except content generated by AI. It may get to a point where “AI is just talking to itself,” and home cooks are gambling with the results, she said.
(thinks) groxxing