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Which jobs are most threatened by AI? "Programmers, software engineers and other tech industry employees," goes one common answer.

"But many economists are more concerned about a different, larger group of white-collar workers," reports the New York Times: customer service reps, bookkeepers, payroll clerks and HR specialists, "who fly under the radar but collectively account for tens of millions of jobs..."

They are spread across the country and throughout the economy, working in every industry, in big cities and small towns, at major corporations and mom-and-pop businesses... These jobs typically offer a middle-class salary or a pathway to achieving one — much as manufacturing jobs did for men before decades of globalisation and automation wiped many of them away... For now, such an outcome is a fear, not a forecast. Despite high-profile layoffs in tech and finance, there is little firm evidence that AI has hurt the labour market as a whole.


Economists have become increasingly convinced that disruptions are likely, but they say it is too early to know where or how widespread they will be. They remain broadly sceptical of claims that the technology will lead to mass unemployment in the near future. Some AI industry leaders have walked back such predictions in recent weeks. But given the extraordinary pace at which companies are adopting AI — and at which the technology is improving — economists say policymakers need to consider the potential effects on the labour market. And they say they are concerned that the public debate has focused too much on software engineers and a relative handful of other high-status careers — lawyers, consultants, economists — rather than the workers who could be most vulnerable...

Economists at Northwestern University recently recalculated measures of AI exposure based on the makeup of the total workforce, not just the people using the technology. Administrative and front-line roles, such as customer service representatives, rose to the top of the list. "The most affected jobs are secretaries, are routine clerks," said Michelle Yin, one of the working paper's authors. "They're not computer scientists or data scientists at all."


The article also includes this counterpoint from an economist at the University of Illinois who has studied earlier waves of white-collar automation: that like other disruptive technologies, AI likely will also create new jobs. So the possibility exists AI will make workers more productive and allow them to earn more. "I would be cautious about just focusing on what are we losing as opposed to what are we going to gain on the other side."

Read more of this story at Slashdot.

Linus Torvalds once said LLMs might bring a 10X increase to programmer productivity. But speaking at Open Source Summit India 2026, he now says that number was "not scientific,"
reports ZDNet. "That was pulled out of my ass number, obviously."


Today, he continued, "we're at the point where hopefully it creates more productivity than it takes away," but "we certainly saw more junk being generated by LLMs than we saw useful code up until the like early this year.... it can actually be a huge drain on resources when it takes humans a lot of effort to figure out that, hey, this machine-generated report was not true." Even now, he said, "most of the good ones require more than just the LLM," because "we've had to push back quite a bit... if you find a bug with an LLM, it's not enough to just ask the LLM to make a bug report and then throw it over the fence to us. We want to see a suggested patch; we want to see the human who ran the LLM act as a kind of back-and-forth."

Torvalds described many AI-generated patches as "mindless band-aid kind of patches... they may fix the immediate problem, but the kind of bug remains, and it just is waiting in the hallway to hit you in another place." For his own toy projects, he uses LLMs as prototypers: "I use them as a way to prototype things... quite often the code is not usable in that form, but it's a great way to try something out," while insisting that for kernel-level fixes, "LLMs, in my experience, have not been at that level yet."

Torvalds acknowledged that some AI-found issues have been "absolutely, stunningly, I mean, interesting in a painful kind of way," especially security problems that "show up in the technology press two days later." Despite the embarrassment, he said, "I'm very much not a shoot-the-messenger kind of person. I think we're much better off with LLMs finding bugs, even when they are embarrassing, and they are things that we should probably have found two decades ago."



Torvalds also said he's using AI "for my own toy projects... Every time I travel to some new place, and this is the first time I've been to India, I send the kids pictures of where I am, and for some strange reason, Godzilla seems to follow me around and gets added to those pictures."

ZDNet notes that Torvalds concluded, "There are many useful and less useful uses for AI," and "I think Godzilla is a great place to stop."

Thanks to Slashdot reader joshuark for sharing the article.

Read more of this story at Slashdot.

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Op beelden op sociale media is te zien hoe een enorme vlammenzee de bar compleet in de as legt. Veel mensen konden niet op tijd ontsnappen.

Ons 3-jarig nichtje krijgt voorafgaand aan het bezoek aan opa en oma een strenge aanwijzing van haar moeder: „Niet om ijsjes vragen!” Nog geen vijf minuten over de drempel, deelt…

Je krijgt een paar cijfers cadeau, maar het grid van 9x9 moet foutloos ingevuld worden.

Als je wel zin hebt om te sudokuen, maar het liever bij een gridje van 5x5 houdt.

Een kruiswoordpuzzel, maar dan heel klein (en snel).

Een Precies Vier bestaat uit 16 woorden, begrippen of namen, die moeten worden verdeeld in precies vier groepen van vier. Er is telkens maar één oplossing mogelijk. Welke woorden vormen een connectie?