Bruce66423 shares a report from the Guardian: The European parliament has blocked the extension of a law that permits big tech firms to scan for child sexual exploitation on their platforms, creating a legal gap that child safety experts say will lead to crimes going undetected. The law, which was a carve-out of the EU Privacy Act, was put in place in 2021 as a temporary measure allowing companies to use automated detection technologies to scan messages for harms, including child sexual abuse material (CSAM), grooming and sextortion. However, it expired on April 3, and the EU parliament decided not to vote to extend it, amid privacy concerns from some lawmakers.

The regulatory gap has created uncertainty for big tech companies, because while scanning for harms on their platforms is now illegal, they still remain liable to remove any illegal content hosted on their platforms under a different law, the Digital Services Act. Google, Meta, Snap and Microsoft said they would continue to voluntarily scan their platforms for CSAM, in a joint statement posted on a Google blog. Bruce66423 adds: "Child abuse as the excuse for avoiding privacy protections. Who would have thought it?"

France says it plans to move some government computers from Windows to Linux as part of a broader push for digital sovereignty and reduced dependence on U.S. technology. TechCrunch reports: In a statement, French minister David Amiel said (translated) that the effort was to "regain control of our digital destiny" by relying less on U.S. tech companies. Amiel said that the French government can no longer accept that it doesn't have control over its data and digital infrastructure. The French government did not provide a specific timeline for the switchover, or which distributions it was considering. Microsoft did not immediately comment on the news.

[...] France's decision to ditch Windows comes months after the government announced it would stop using Microsoft Teams for video conferencing in favor of French-made Visio, a tool based on the open source end-to-end encrypted video meeting tool Jitsi. The French government said it also plans to migrate its health data platform to a new trusted platform by the end of the year.

An anonymous reader quotes a report from the Guardian: [Five skilled workers aged 50 and older spoke] to the Guardian about how, after struggling to find work in their fields, they have turned to an emerging and growing category of work: using their expertise to train artificial intelligence models. Known as data annotation, the work involves labeling and evaluating the information used to train AI models like Open AI's ChatGPT or Google's Gemini. A doctor, for example, might review how an AI model answers medical questions to flag incorrect or unsafe responses and suggest better ones, helping the system learn how to generate more accurate and reliable responses. The ultimate goal of training is to level up AI models until they're capable of doing a job as well as a human could -- meaning they could someday replace some of these human workers.

The companies behind AI training, such as Mercor, GlobalLogic, TEKsystems, micro1 and Alignerr, operate large contractor networks staffed by people like Ciriello. Their clients include tech giants like OpenAI, Google and Meta, academic researchers and industries including healthcare and finance. For experienced professionals, AI training contracts can be a side hustle -- or a temporary fallback following a layoff -- where top experts can, in some cases, earn over $180 an hour. But that's on the high end. For some older workers [...], it represents another thing entirely: a last refuge in a brutal job market that is harder to stay in, or re-enter, the older they get. For many of them, whether or not they're training their AI replacements in their professions is besides the point. They need the work now.

[...] "There's just a lot of desperation out there," Johnson said. As opportunities narrow, many turn to what Joanna Lahey, a professor at Texas A&M University who studies age discrimination and labor outcomes, calls "bridge jobs" -- lower-paying, less demanding roles that help workers stay financially afloat as they approach retirement. Historically, that meant taking temp assignments, retail and fast-food work and gig roles like Uber and food delivery. Now, for skilled workers -- engineers, lawyers, nurses or designers, for example -- using their expertise for AI data training is becoming the new bridge job. "[AI] training work may be better in some ways than those earlier alternatives," Lahey told the Guardian.

AI training can offer flexibility, quick income and intellectual engagement. But it's often a clear step down. Professionals in fields such as software development, medicine or finance typically earn six-figure salaries that come with benefits and paid leave, according to the US Bureau of Labor Statistics. According to online job postings, AI training gigs start at $20 an hour, with pay increasing to between $30 and $40 an hour. In some cases, AI trainers with coveted subject matter expertise can earn over $100 an hour. AI training is contract-based, though, meaning the pay and hours are unstable, and it often doesn't come with benefits.

A $500,000 "Survivor"-style corporate retreat for 120 Plex employees in Honduras "turned into a week-long disaster involving illness, wild animals, armed guards, and employees stranded on a remote island," reports the Daily Beast. The CEO was bedridden by E. coli, staff were collapsing in brutal heat during Navy SEAL-led drills, there were fire ant attacks, uncooked food, and failing utilities. At one point, a porcupine even crashed through the ceiling of a guest's room. Here's an excerpt from the report: Tech media company Plex flew its 120 employees to a Honduran resort in 2017 for what was billed as a Survivor-style getaway. They called it "Plexcon." The first harbinger of trouble was an email that arrived before the group departed, informing them that the hotel manager and chef had both quit within days of each other. Things went sharply downhill from there.

CEO Keith Valory, 54, had flown out a day early, intending to channel his inner Jeff Probst and welcome his staff off the buses like a game show host. Instead, he spent the arrival morning flat on his back. "I got E. coli, which is maybe the worst thing you could get, possibly, ever," Valory told the Wall Street Journal this week. "Just as people were arriving on the buses, I was like, 'Uh oh.' I lost 8 or 10 pounds. They had a doctor come to me, which apparently is pretty standard. They nailed an IV bag to the bedpost."

With the CEO incapacitated, chief product officer and co-founder Scott Olechowski, 52, stepped in to run proceedings -- beginning with a forced eating challenge in which one employee had to consume a dead tarantula. [...] Sean Hoff, 42, founder of Moniker Partners, the independent retreat agency that planned the trip, was running himself ragged attempting damage control -- the showers, water, and electricity kept cutting out. [...] Meanwhile, senior software engineer Rick Phillips, 53, was trying to sleep when he heard a crash in his room. He ignored it until morning. "I got up and went over to get in the shower, and there was a porcupine," he said. "It must have climbed a tree and fallen through the ceiling."

A New York Times investigation by John Carreyrou claims a British cryptographer named Adam Back is the strongest circumstantial candidate yet for being Satoshi Nakamoto. The report citing overlaps in writing style, ideology, technical background, and old posts that outlined key parts of Bitcoin years before its launch. Carreyrou is a renowned investigative journalist and author, best known for exposing the massive fraud at Theranos while at the Wall Street Journal. Here's an excerpt from the report: ... As anyone steeped in Bitcoin lore will tell you, Satoshi was a master at the art of maintaining anonymity on the internet, leaving few, if any, digital footprints behind. But Satoshi did leave behind a corpus of texts, including a nine-page white paper (PDF) outlining his invention and his many posts on the Bitcointalk forum, an online message board where users gathered to discuss the digital currency's software, economics and philosophy. And that corpus, it turned out, had expanded significantly during the impostor's civil trial when Martti Malmi, a Finnish programmer who collaborated with Satoshi in Bitcoin's early days, released a trove of hundreds of emails he had exchanged with him. Emails Satoshi sent to other early Bitcoin adopters had surfaced before, but none came close in volume to the Malmi dump. If Satoshi was ever going to be found, I was convinced the key lay somewhere in these texts.

Then again, others must have gone down this road before me. Journalists, academics and internet sleuths had been trying to identify Satoshi for 16 years. During that span, more than 100 names had been put forward, including those of an Irish cryptography student, an unemployed Japanese American engineer, a South African criminal mastermind and the mathematician portrayed in the movie "A Beautiful Mind." The most alluring theories had focused on coincidences that aligned with what little was known about Satoshi: a particular code-writing style, a mysterious work history, an expertise in Bitcoin's key technical concepts, an anti-government worldview. But they had run aground under the weight of an alibi or some other piece of inconsistent or contrary evidence. Each failure had been met with glee by many members of the Bitcoin community. As they liked to point out, only Satoshi could definitively prove his identity by moving some of his coins. Any evidence short of that would be circumstantial.

It seemed foolish to think that I could somehow crack a case that had confounded so many others. But I craved the thrill of a big, challenging story. So I decided to try once more to unmask Bitcoin's mysterious creator. Back, for his part, denies being Satoshi, writing in a post on X: "i'm not satoshi, but I was early in laser focus on the positive societal implications of cryptography, online privacy and electronic cash, hence my ~1992 onwards active interest in applied research on ecash, privacy tech on cypherpunks list which led to hashcash and other ideas."

Starting May 20th, Amazon will stop Kindle Store access for Kindle and Kindle Fire devices released in 2012 and earlier. After that date, those devices will "no longer be able to purchase, borrow, or download new content." Owners can still read content already on the device, but if an affected device is reset or deregistered after the cutoff, it can't be re-registered. The Verge reports: The complete list of affected devices goes all the way back to the original Kindle that launched in 2007 with a full keyboard and scroll wheel. [...] Amazon will be notifying affected users over email ahead of May 20th with an explanation of what their older devices can and cannot do. Pre-2012 Kindle Fire devices will be subjected to the same limitations as Kindle e-readers when it comes to books, but other apps and Amazon services on those devices won't be impacted.

For longtime users wanting to take the opportunity to upgrade to newer Kindle hardware, Amazon will offer a 20 percent discount on new Kindle devices and a $20 ebook credit that will be added to their accounts after upgrading, valid until June 20th, 2026, at 11:59PM PT. Their older purchases will be available on new devices as long as they log in to the same account they've been using for the past 14 years or more.

Meta has launched Muse Spark, its first major AI model under Alexandr Wang's leadership. The model was built over the past nine months and is being positioned as a significant step up from Llama 4. Axios reports: Muse Spark will power queries in the Meta AI app and Meta.ai website immediately, with plans to expand across Facebook, Instagram and WhatsApp. The model accepts voice, text and image inputs, but produces text-only output. [...] Meta plans to release a version of Muse Spark under an open-source license.

The model uses a fast mode for casual queries and several reasoning modes. A "shopping mode" highlights how Meta hopes to differentiate itself. It combines large language models with data on user interests and behavior. Over time, the model will also power "features that cite recommendations and content people share across Instagram, Facebook, and Threads," Meta said in a blog post. Wang, the 29-year-old entrepreneur who co-founded Scale AI, joined Meta's "superintelligence" unit last year to help Meta catch up to rival models from OpenAI and Anthropic.

Apple may have a supply problem on its hands with the MacBook Neo... The laptop reportedly relies on "binned" A18 Pro chips with one GPU core disabled, and demand is so strong that the supply of those cheaper leftover chips could run out before the next model is ready. That leaves Apple choosing between lower margins, shifting production plans, or changing the lineup to keep its $599 hit product in stock. MacRumors reports: The all-new MacBook Neo has been such a hit that Apple is facing a "massive dilemma," according to Taiwan-based tech columnist and former Bloomberg reporter Tim Culpan. [...] In the latest edition of his Culpium newsletter today, Culpan said the MacBook Neo is selling so well that Apple's supply of the binned A18 Pro chips with a 5-core GPU will "run out" before the company is able to fully satisfy demand for the laptop. Apple's initial plan was to have suppliers build around five to six million MacBook Neo units before ceasing production of the model with the A18 Pro chip, he said, but it sounds like demand is so strong that Apple might run out of A18 Pro chips to put in the MacBook Neo before the second-generation MacBook Neo with an A19 Pro chip is ready next year. Apple is unlikely to mark the MacBook Neo as temporarily sold out, so it may be forced to take action, but profit margins might be affected.

A18 Pro chips are manufactured with TSMC's second-generation 3nm process, known as N3E, and Culpan said TSMC's N3E production lines are currently operating at maximum capacity. As a result, he said that Apple may have to pay a premium to restart A18 Pro chip production for the MacBook Neo, which would lower its profit margins. Apple would have to disable a GPU core on these chips to ensure that they have only a 5-core GPU, like all other MacBook Neo units sold to date. Alternatively, Culpan said that Apple could reallocate some of its chip production that was originally planned for other devices, but he said the cost would still be higher than what it paid for its initial batch of A18 Pro chips.

Culpan speculated that Apple could also opt to discontinue the $599 model with 256GB of storage, leaving the $699 model with 512GB of storage and a Touch ID button as the only configuration available. This is unlikely to happen any time soon, in our view, given how heavily Apple has been promoting the MacBook Neo's affordability. Apple might also be able to move up the release of a MacBook Neo with the iPhone 17 Pro's A19 Pro chip, but that too would be a costlier option, at least until the company achieves a sufficient stockpile of binned A19 Pro chips with a 5-core GPU. In any case, Apple could opt to keep the starting price of current and future MacBook Neo models at $599 and simply accept lower profit margins on the laptop, especially given that it attracts customers to the macOS and broader Apple ecosystem.

"Anthropic has unveiled Claude Mythos, a new AI model capable of discovering critical vulnerabilities at scale," writes Slashdot reader wiredmikey. "It's already powering Project Glasswing, a joint effort with major tech firms to secure critical software. But the same capabilities could also accelerate offensive cyber operations." SecurityWeek reports: Mythos is not an incremental improvement but a step change in performance over Anthropic's current range of frontier models: Haiku (smallest), Sonnet (middle ground), and Opus (most powerful). Mythos sits in a fourth tier named Copybara, and Anthropic describes it as superior to any other existing AI frontier model. It incorporates the current trend in the use of AI: the modern use of agentic AI. "The powerful cyber capabilities of Claude Mythos Preview are a result of its strong agentic coding and reasoning skills... the model has the highest scores of any model yet developed on a variety of software coding tasks," notes Anthropic in a blog titled Project Glasswing -- Securing critical software for the AI era.

In the last few weeks, Mythos Preview has identified thousands of zero-day vulnerabilities with many classified as critical. Several are ten or 20 years old -- the oldest found so far is a 27-years old bug in OpenBSD. Elsewhere, a 16-years old vulnerability found in video software has survived five million hits from other automated testing tools without ever being discovered. And it autonomously found and chained together several in the Linux kernel allowing an attacker to escalate from ordinary user access to complete control of the machine. [...] Anthropic is concerned that Mythos' capabilities could unleash cyberattacks too fast and too sophisticated for defenders to block. It hopes that Mythos can be used to improve cybersecurity generally before malicious actors can get access to it.

To this end, the firm has announced the next stage of this preparation as Project Glasswing, powered by Mythos Preview. Given the rate of AI progress, it will not be long before such capabilities proliferate, potentially beyond actors who are committed to deploying them safely. "Project Glasswing is a starting point. No one organization can solve these cybersecurity problems alone: frontier AI developers, other software companies, security researchers, open-source maintainers, and governments across the world all have essential roles to play." Claude Mythos Preview is described as a general-purpose, unreleased frontier model from Anthropic that has nevertheless completed its training phase. The firm does not plan to make Mythos Preview generally available. The implication is that 'Preview' is a term used solely to describe the current state of Mythos and the market's readiness to receive it, and will be dropped when the firm gets closer to general release.

The Associated Press is offering buyouts to U.S. journalists "as part of an acceleration away from the focus on newspaper journalism that sustained the company since the mid-1800s," the not-for-profit outlet reported today. AP says it is making the move from a position of strength, responding to shrinking newspaper revenue and growing demand from digital, broadcast, and tech clients.

"The AP is not in trouble," said Julie Pace, executive editor and senior vice president of the AP. "We're making these changes from a position of strength but we're doing so now to recognize our changing customer base." From the report: The news organization is becoming more focused on visual journalism and developing new revenue sources, particularly through companies investing in artificial intelligence, to cope with the economic collapse of many legacy news outlets. Once the lion's share of AP's revenue, big newspaper companies now account for 10% of its income. "We're not a newspaper company and we haven't been for quite some time," [said Pace].

Despite changes -- the company has doubled the number of video journalists it employs in the United States since 2022 -- remnants of a staffing structure built largely to provide stories to newspapers and broadcasters in individual states have remained. That has its roots well back in American history; the AP was started in the mid-19th century by New York newspapers looking to share the costs of reporting outside their immediate territory.

The number of AP journalists who will lose jobs is murky, in part intentionally. The AP does not say how many journalists it employs, though it has a large international presence as well as its U.S. staff. Pace said the AP's goal is to reduce its global staff by less than 5%. The Marketing and Media Alliance estimated the AP had 3,700 staffers, but it was not clear when that estimate was made. Since buyouts are being offered now to only U.S. journalists, it stands to reason that the cut among that workforce will be more than 5%. Whether there are layoffs depends on how many people take the offer, Pace said.

More Americans have moved into upper-middle-class incomes over the past several decades (source paywalled; alternative source), with new research suggesting that group has grown sharply while the lower and core middle class have shrunk. The Wall Street Journal reports: In 2024, about 31% of Americans were part of the upper middle class, up from about 10% in 1979, according to a report released this year by the right-leaning American Enterprise Institute. There is no single, standard definition of middle class, or upper middle class, and what counts as a hefty income in one city can feel paltry in another. The AEI report, by Stephen Rose and Scott Winship, classified a family of three earning $133,000 to $400,000 in 2024 dollars as upper middle class. Households earning more were categorized as rich. The analysis looked just at incomes, not assets such as stocks or real estate.

[...] The gains span generations. Many baby boomers, born to parents who grew up in the Great Depression, are living well on their savings, aided by steady Social Security checks and decades of stock-portfolio gains that they can now tap. Millennials, who everyone worried would be permanently set back by the 2008-09 financial crisis, are earning solid incomes, buying homes and surpassing their parents. Many families are surprised to find that they have moved into this new economic tier, and see themselves as comfortable, not rich. They tend to have jobs that are white collar but not flashy -- think accountants, not tech founders.

This doesn't mean that all Americans are climbing the ladder. Entrenched inflation and higher prices on major necessities have pushed many families closer to the financial edge, or locked them out of homeownership. Those costs weigh on high-earning families too, and for many are the reason they don't feel wealthy. The AEI report divided families into five different groups by income. Three groups were in the middle: lower middle class, core middle class and upper middle class. The authors found that more families now fall into the two highest-earning groups -- upper middle class and rich -- and fewer fall into the three lower-earning categories.

Halter, a New Zealand agtech startup now valued at $2 billion, has raised $220 million to expand its AI-powered cattle management system. "Halter is now valued at $2 billion following the Series E, which was led by Peter Thiel's Founders Fund with participation from Blackbird, DCVC, Bond, Bessemer, and several others," reports Inc. From the report: Halter plans to use the funding to expand its existing footprint in the U.S., Australia, and New Zealand, as well as to grow into new markets such as Ireland, the U.K., and parts of North and South America. The round is one of the biggest to-date in the industry, and comes amid growing adoption of the technology among U.S. ranchers. According to Halter, U.S. ranchers have erected some 60,000 miles of virtual fencing since the company's launch in 2024.

Halter's technology works through a system of solar-powered collars and in-pasture towers that collect data -- some 6,000 data points per collar per minute -- from grazing cattle and feed it into a cloud-based platform and app for farmers. The collars are ergonomically designed to be comfortable for the cattle wearing them, and leverage AI to play audio cues or vibrate when it is time to move to a different grazing location or if they step outside of a predetermined zone. The collars can also deliver an electric pulse if an animal does not respond.

Halter's app also creates a digital twin of a ranch, which essentially means a digital replica that leverages real-time data to accurately reflect conditions. Farmers can consult the app to check on their herd, or fence, and move cattle with just a few clicks. Halter also has a proprietary algorithm that it calls a "Cowgorithm" trained on seven billion hours of animal behavior. Altogether, this technology is meant to make ranchers' lives easier when herding cattle, help them save money on building physical fencing, and provide insights about pasture management to improve soil health and pasture productivity. Halter says some 2,000 farmers and ranchers currently use its tech worldwide.

An anonymous reader quotes a report from TechCrunch: AI skeptics aren't the only ones warning users not to unthinkingly trust models' outputs -- that's what the AI companies say themselves in their terms of service. Take Microsoft, which is currently focused on getting corporate customers to pay for Copilot. But it's also been getting dinged on social media over Copilot's terms of use, which appear to have been last updated on October 24, 2025. "Copilot is for entertainment purposes only," the company warned. "It can make mistakes, and it may not work as intended. Don't rely on Copilot for important advice. Use Copilot at your own risk." Microsoft described the terms of service as "legacy language," saying it will be updated.

Tom's Hardware notes that similar AI warnings remain common across the industry, with companies like OpenAI and xAI also cautioning users not to treat chatbot output as "the truth" or as "a sole service of truth or factual information."

Russia's "great crackdown" on VPNs — and a clampdown on Telegram's messaging platform — had an unintended side effect, reports Bloomberg. It "triggered the widespread banking outage seen across the country this week, Telegram's billionaire founder Pavel Durov said." "Telegram was banned in Russia, yet 65 million Russians still use it daily via VPNs," Durov said Saturday in a post on Telegram. "The government has spent years trying to ban VPNs too. Their blocking attempts just triggered a massive banking failure; cash briefly became the only payment method nationwide yesterday." Attempts on Friday to limit VPN use could have sparked the disruption affecting banking apps, The Bell and other Russian media reported, citing industry sources who weren't identified.

The outage may have been caused by an overload in the filtering systems run by Russia's communications watchdog, according to the reports, with experts warning that major restrictions risk undermining network stability... Separately, payments for Apple Inc.'s app store and other services became unavailable in Russia from April 1, the US company said on its website, without saying why. Earlier, RBC newswire reported that the Digital Development Ministry had asked mobile operators to disable top-ups, which could help limit VPN use....

Durov, who's being investigated in Russia for allegedly aiding terrorist activity, compared the situation in his home country to Iran, where similar restrictions prompted widespread adoption of VPNs instead of the intended shift to state-backed messaging apps. "Welcome back to the Digital Resistance, my Russian brothers and sisters," said Durov, who has lived in Dubai and France in recent years. "The entire nation is now mobilized to bypass these absurd restrictions," he wrote, adding that Telegram would continue adapting to make its traffic harder to detect and block.

Meet the "journalist" who "uploads press releases or analyst notes into AI tools and prompts them to spit out articles that he can edit and publish quickly," according to the Wall Street Journal.

"AI-assisted stories accounted for nearly 20% of Fortune's web traffic in the second half of 2025." And most were written by 42-year-old Nick Lichtenberg, who has now written over 600 AI-assisted stories, producing "more stories in six months than any of his colleagues at Fortune delivered in a year." One Wednesday in February, he cranked out seven. "I'm a bit of a freak," Lichtenberg said... A story by Lichtenberg sometimes starts with a prompt entered into Perplexity or Google's NotebookLM, asking it to write something based on a headline he comes up with. He moves the AI tools' initial drafts into a content-management system and edits the stories before publishing them for Fortune's readers... A piece from earlier that morning about Josh D'Amaro being named Disney CEO took 10 minutes to get online, he said...

Like other journalists, Lichtenberg vets his stories. He refers back to the original documents to confirm the information he's reporting is correct. He reaches out to companies for comment. But he admits his process isn't as thorough as that of magazine fact-checkers.
While Lichtenberg started out saying his stories were co-authored with "Fortune Intelligence", he now typically signs his own name, according to the article, "because he feels the work is mostly his own." (Though his stories "sometimes" disclose generative AI was used as a research tool...) The article asks with he could be "a bellwether for where much of the media business is headed..."

"Much of the content people now consume online is generated by artificial intelligence, with some 9% of newly published newspaper articles either partially or fully AI-generated, according to a 2025 study led by the University of Maryland. The number of AI-generated articles on the web surpassed human-written ones in late 2024, according to research and marketing agency Graphite." Some executives have made full-throated declarations about the threat posed by AI. New York Times publisher A.G. Sulzberger said AI "is almost certainly going to usher in an unprecedented torrent of crap," referencing deepfakes as an example. The NewsGuild of New York, the union representing Fortune employees and journalists at other media outlets, said the people are what makes journalism so powerful. "You simply can't replicate lived experiences, human judgment and expertise," said president Susan DeCarava.

For Chris Quinn, the editor of local publications Cleveland.com and the Plain Dealer, AI tools have helped tame other torrents facing the industry. AI has allowed the outlets to cover counties in Ohio that otherwise might go ignored by scraping information from local websites and sending "tips" to reporters, he said. It has also edited stories and written first drafts so the newsrooms' journalists can focus on the calls, research and reporting needed for their stories.... Newsrooms from the New York Times to The Wall Street Journal are deploying AI in various ways to help reporters and editors work more efficiently....

Not all newsrooms disclose their use of AI, and in some cases have rolled out new tools that resulted in errors or PR gaffes. An October study from the European Broadcasting Union and the BBC, which relied on professional journalists to evaluate the news integrity of more than 3,000 AI responses, found that almost half of all AI responses had at least one significant issue.
Last week the New York Times even issued a correction when a freelance book reviewer using an AI tool unknowingly included "language and details similar to those in a review of the same book published in The Guardian." But it was actually "the second time in a few days that the Times was called out for potential AI plagiarism," according to the American journalist writing The Handbasket newsletter. We must stem the idea being pushed by tech companies and their billionaire funders who've sunk too much into their products to admit defeat that the infiltration of AI into journalism is inevitable; because from my perch as an independent journalist, it simply is not...

Some AI-loving journalists appear to believe that if they're clear enough with the AI program they're using, it will truly understand what they're seeking and not just do what it's made to do: steal shit... If you want to work with machines, get a job that requires it. There are a whole lot more of those than there are writing jobs, so free up space for people who actually want to do the work. You're not doing the world a favor by gifting it your human/AI hybrid. Journalism will not miss you if you leave...
But meanwhile, USA Today recently tried hiring for a new position: AI-Assisted reporter. (The lucky reporter will "support the launch and scaling of AI-assisted local journalism in a major U.S. metro," working with tools including Copilot and Perplexity, pioneering possible future expansions and "AI-enabled newsroom operations that support and augment human-led journalism.") And Google is already sponsoring a "publishing innovation award"...