What, in your argument, is the difference between LLM copy-edited text, and for-hire human copy-edited text. The editorial services I have seen *sometimes* try to find editors that are kinda-sorta near the correct field of expertise, but there's no guarantee you'll get someone who even has a passing level of familiarity with your field, and for some services, all they have is a degree in English.

So, again, what's the difference between linguistic polishing by machine and linguistic polishing by semi-qualified human?

Following up on that idea, there are various copy-editing services that many non-native English speakers use, and are encouraged to use, to help improve their writing. The main difference from the perspective of forensic detection with AI-copy-edited text is that there are a very small number of such styles compared to the likely thousands of copy-editors' individual styles, making automated copy-editing easier to detect. I'll bet dollars to donuts that if you trained an LLM on the output of a single human copy-editor, you'd be able to identify all papers that used their services.

We use AI to help with paper writing in my lab, mostly because there are only two native English speakers, and it relieves me, the lab head (and one of the two native speakers), of having to do extensive copy-editing in order to make stilted English more readable. I still read every word that gets published from the lab, but using AI for copy-editing is no different from using a human-based writing service to fix poor language. It's just cheaper and orders of magnitude faster.

So, for us, the response would be a big, "so what?" to this report.

But, if people are starting to use AI to write entire papers, that's a different story. My experience is that current models hallucinate ideas and, especially, references, at far, far to high a rate to be seriously useful as anything other than a tool that requires full, manual verification. I half-jokingly say that if a paper is hallucinated, that means the AI was unable to find the right citation, and it represents a gap in the field's knowledge that we could address. The amazing thing about the hallucinations is how convincingly real they sound: the right authors, the right titles, the right journals. These are publications that *should* exist, but don't, at least in my experience.

As a most recent example, when writing a grant application, I tried to find citations using an LLM for an idea that is widely-held in the field. Everyone knows it to be true. It's obvious that it should be true. And, yet, there have been no publications as of yet that have actually discussed the idea, so the LLM dutifully hallucinated a citation with exactly the author list you would expect to have studied the question, a title that hits the nail on the head, and a journal exactly where you might expect the paper to appear. I've told my staff that we need to get that paper written and submitted, immediately, to fill that obvious gap, before someone else does. It will likely be cited widely.

I agree entirely. I teach an intro to programming course at one of the well-known universities. It is a lab course with 2 hours of teaching contact time per week, 2 hours of reading time per week, and 8 hours of expected programming time per week. The students learn by doing.

Aw, c'mon. Basic is a horrible, horrible language that teaches poor habits and has almost no translation to serious programming.

If you want to have kids learn something easy that at least teaches good organization and thought processes, then teach them Scheme.

Microbiology, neuroscience, solid physics, particle physics, robotics, ...

Canada, England, France, Germany, Switzerland, primarily. Portugal has gone on a hiring spree, as has Poland and Australia. I haven't seen any postings from Spain or Italy, but maybe that's my field.

I guess you don't understand how IP works. When a researcher works at an institution, the IP they generate is owned by that institution. The society where that institution is located typically is the big winner, as a result. Have you ever looked, for example, how much the US government gets in royalties from PCR?

The issue is that it isn't just DEI funding that's being cancelled. DEI is just the focus of the most bitter ire. There is a broad anti-science, anti-knowledge tone to the current administration, and I have many colleagues who have already left the US because of it. The number of available post-docs far outstrips the current number of open positions, and that talent is quickly leaving the US shores for greener pastures.

Their kids didn't. Treating everyone like an island is ultimately the purest form of the cancer that infects the US.

"those goals seem to be nearly impossible to attain"

Is it impossible to obtain - the national ethos sees absolutely no problem with the unbounded consolidation of wealth and power, so long as it is in the private sector.

The joke is the private sector is so powerful at this point, your public sector is just a sock with the private sector's hand up its ass.

That'll never change as long as the concept of even moderate, reasonable redistribution of wealth is a national non-starter. It's impressive watching the way the US twists itself this way and that, where everybody is just a temporarily embarrassed billionaire voting for less taxes, less spending to make their supposed future rich selves happy for when they finally join the billionaire class.

"Sane people use C for that" for embedded systems? That's a very "all i know I leaned from Slashdot" definition of embedded systems you must have

Dunno if you're a programmer or not, but if you're not extensively testing and verifying what you wrote before you put it in production, you're doing it wrong.

You have to verify and test *all* code. LLMs are great for producing a bunch of boiler plate code that would take a long time to write and is easily testable. The claim that LLMs are useless for programming flies in the face of everything happening in the ivoriest of towers of programming these days. Professionals in every major shop in the world use it now as appropriate. Sorry that makes you mad. I'm not young either. I've been producing C++ on embedded systems used by millions of people for 20+ years. Nobody doing serious programming takes the "LLMs are useless" opinion seriously anymore.

I hate Wayland. Still so frelling buggy. So many unfulfilled promises. So many things that just worked, and worked well, under X have been broken for so very, very long. I hope the teenagers who repllied "pffft" to the graybeards when they said "windowing is hard, secure remote windowing is really hard," have learned their lesson, who replied "X is just too complicated" have now recognized that they have something worse, who opined "the API is too obscure" have been brought to awareness.

Just because something is new does not mean it is better. Keep repeating that. If an old, working system appears to be complex, there just might be good reasons for it.

I used to be able to run remote windows on kinda slow cable with reasonable responsiveness, back in the day, under X. I could even run a browser. I haven't been able to do any of that under Wayland; opening a remote browser window now takes *minutes*, if it works at all, and I've got fat pipes now, compared to back in the day. Wayland, from the user's perspective, has been and remains an unmitigated disaster.

I'm all for bringing back X. Maybe those guys at MIT knew what they were doing.

*All* of the immunotherapy treatments can be considered vaccinations, not just the ones that we give as preventative medicine.

And there are some new ones that are just stunningly good. I've recently seen a presentation on a vaccination for hard cancers that get injected directly into the cancerous mass and don't just improve things, like most radio- and chemotherapies, but *eliminate* the cancer by activating the latent immune cells within the mass. It allows the body to cure itself by removing the cloak of invisibility that cancer creates. This fellow might just win a Nobel. The idea is simple, brilliant, and shockingly effective.

Here's a quote from the article:

And there isn't a single instance of the word "gravity" or "gravitation" or "gravitational" on that page until you get to the comments and related readings after the editorial portion is done.

Maybe time to get the eyeglass prescription updated?

Directly blame Google for that situation. They're the one who have been aggressively pushing the ad-revenue model. Back before Google, media was supported by a mixture of advertising and subscription. We even had a few media sources that were truly independent and both government-backed, and privately supported by individual subscriptions and contributions. Google poisoned the well, and we are all paying the price.

How would you know what a shot number was? If the goal was to restore flowing traffic, reduce horn honking from standstill traffic, increase city revenue for mass transit, seems like a decidedly non-shit number to me. You dont need to cut traffic in half to make the roads work, a modest decrease from full capacity will do it.