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"...

An anonymous reader quotes a report from Gizmodo: OpenAI hasn't been shy about spending money lobbying for favorable laws and regulations. But when it comes to its involvement with child safety advocacy groups, the company has apparently decided it's best to stay in the shadows -- even if it means hiding from the people actually pushing for policy changes. According to a report from the San Francisco Standard, a number of people involved in the California-based Parents and Kids Safe AI Coalition were blindsided to learn their efforts were secretly being funded by OpenAI. Per the Standard, the Parents and Kids Safe AI Coalition was a group formed to push the Parents and Kids Safe AI Act, a piece of California legislation proposed earlier this year that would require AI firms to implement age verification and additional safeguards for users under the age of 18. That bill was backed by OpenAI in partnership with Common Sense Media, which proposed the legislation as a compromise after the two groups had pushed dueling ballot initiatives last year.

But when the coalition started to reach out to child safety groups and other advocacy organizations to try to get them to lend support to the bill, OpenAI was apparently conveniently left off the messaging. The AI giant was also left out of the marketing on the coalition's website, according to the Standard. That reportedly led to a number of groups and individuals lending their support to the Parents and Kids Safe AI Coalition without realizing that they were aligning themselves with OpenAI. As it turns out, OpenAI isn't just one of the members of the coalition; it is the group's biggest funder. In fact, the Standard characterized the Parents and Kids Safe AI Coalition as being "entirely funded" by OpenAI. While it's not clear exactly how much the company has funneled to this particular group, a Wall Street Journal report from January said OpenAI pledged $10 million to push the Parents and Kids Safe AI Act. Gizmodo notes that OpenAI's backing of the Parents and Kids Safe AI Act "could be self-serving for CEO Sam Altman," who just so happens to head a company called World that provides age verification services.

The Wall Street Journal reports that Rivian "just won a yearslong battle with car dealers in Washington state that threatens the model of how cars are sold." After fighting to sell its vehicles directly to buyers, Rivian threatened to take its case to voters with a ballot measure to permit direct sales. The dealers blinked. The state's dealer lobby not only dropped its opposition to a sales loophole for Rivian and rival EV-maker Lucid, but also encouraged lawmakers to approve one. The measure became law this month...

New auto entrants like Rivian, and Tesla before it, have spent years contending with long-established U.S. state laws that require new cars to be sold through independent franchised dealers. The auto startups — typically makers of EVs — argue that they can offer a better experience by selling directly to consumers, much as Apple sells iPhones through its own stores and online. Rivian CEO RJ Scaringe has said the company is committed to direct-only sales because it's more profitable and gives the company control over how its vehicles are sold, marketed and maintained. The Washington compromise riled traditional automakers, including General Motors, Ford and Toyota, which lobbied against it, arguing it unfairly advantages startups. A trade group representing the automakers called it discriminatory and argued the exception could one day open the door to Chinese EV makers...

German automaker Volkswagen is currently facing several lawsuits from dealers over its plan to sell new Scout vehicles directly to consumers. Dealers say independent franchises are vital to the car-buying process, creating competition between dealerships that keeps prices affordable for consumers, while providing valuable services such as repairs, warranty work and financing... Yet for Washington's dealers, the prospect of putting franchise laws up for a popular vote laid bare a tough reality: given the choice, many car buyers want the freedom to avoid dealerships. Rivian's polling, which the company shared with lawmakers, showed nearly 70% of respondents favored allowing direct sales when asked whether they would support manufacturers selling cars directly to consumers...

The fight comes at a critical time for Rivian, which is launching a new, more affordable SUV in a bid to make consistent profits amid a downturn in U.S. EV sales... Rivian is able to directly sell cars in roughly half of U.S. states, but a number of them limit how many locations the company can operate. They can't disclose the price, though. For that, customers must go online.
The article notes that "Following the win, Rivian executives are eyeing other states that, like Washington, ban direct sales but also allow ballot initiatives: Arkansas, Ohio, Oklahoma, Montana, Nebraska and South Dakota..." It adds that lawmakers (from both parties) in the state of Washington had said "they have long felt pulled between giving consumers more car-buying freedom and protecting dealers, essentially small-business owners who are vital to local economies — and politically powerful."

But an executive at the Washington State Auto Dealers Association said dealers supported this new law partly because it protects them by barring future automakers from selling directly in the state, and by requiring Rivian and Lucid to adhere to the same regulations that govern how dealers operate.

Bell Labs "created many of the foundational innovations of the modern age," writes Jon Gertner, author of The Idea Factory: Bell Labs and the Great Age of American Innovation — from transistors and telecommunications satellites to Unix and the C programming language.

But what was the secret to its success? he asks in a new article for the Wall Street Journal. Start with its lucky arrival in a "problem-rich" environment, suggests Arno Penzias, winner of one of Bell Labs' 11 Nobel Prizes: It was Bell Labs' responsibility, in other words, to create technologies for designing, expanding and improving an unruly communications network of cables and microwave links and glass fibers. The Labs also had to figure out ways to create underwater conduits, as well as switching centers that could manage the growing number of customers and escalating amounts of data.... Money mattered, too. Being connected to AT&T, the largest company in the world, was an advantage. The Labs' budget was enormous, and accounting conventions allowed its parent company to make huge and continuing investments in R & D. The generous funding, moreover, allowed scientists and engineers to buy and build expensive equipment — for instance, anechoic chambers to create the world's quietest rooms...

The most fortunate part of Bell Labs' situation, however, was that in being attached to a monopoly it could partake in long-term thinking... Without competition nipping at its heels, Bell Labs engineers had the luxury of working out difficult ideas over decades. The first conceptualization of a cellular phone network, for instance, came out of the Labs in the late 1940s; it wasn't until the late 1970s that technicians began testing one in Chicago to gauge its potential. The challenge of deploying these technologies was immense. (The regulatory hurdles were formidable, too....)
The article also credits the visionary management of Mervin Kelly — who fortunately also "had access to funding in a decade when most executives and universities didn't" to hire the brightest people. (By the early 1980s Bell Labs employed about 25,000 researchers, technicians and support staff, with an annual budget of $2 billion — roughly $7 billion in today's dollars.) "The Labs' involvement in World War II suggested to Kelly that an exciting postwar era of electronics was approaching, but that the technical problems would be so complex that they required a mix of expertise — not just physicists, but material scientists, chemists, electrical engineers, circuitry experts and the like." At Bell Labs, Kelly would sometimes handpick teams and create such a mix, as was the case for the transistor invention in the late 1940s. He came to see innovation arising not from like-minded or similarly trained people conversing with each other, but from a friction of ideas and approaches. It meant hiring researchers who had different personalities and favored a range of experimental angles. It also meant personally designing a campus in Murray Hill where departments were spread apart, so that scientists and engineers would be forced to walk, mingle and engage in serendipitous conversations and debate ideas. Meanwhile, under Kelly, the Labs focused on hiring people who were deeply curious, not just smart. Kelly saw it as his professional duty to do far more than what was expected, with his laboratory and vast resources, to create new technologies...

The breakup of AT&T's monopoly, which led to a steady shrinking of Bell Labs' staff, budget and remit, shows us that no matter how forward looking your employees and managers may be, they will not necessarily see the future coming. It likewise suggests that technological progress is too unpredictable for one organization, no matter how powerful or smart, to control. Famously, Bell Labs managers didn't see value in the Arpanet, which eventually led to today's internet.

And yet, for at least five decades, Bell Labs created a blueprint for the global development of communications and electronics. In understanding why it did so, I tend to think its ultimate secret may be hiding in plain sight. The secret has to do with Bell Labs' structure — not only being connected to a fabulously profitable monopoly, but being connected to a company that could move theoretical and applied research into a huge manufacturing division that made telecom equipment (at Western Electric) and ultimately into a dynamic operating system (the AT&T network)... Scientists and engineers at the Labs understood their ideas would be implemented, if they passed muster, into the huge system its parent company was running.
Bell Labs racked up about 30,000 patents, according to the article, and celebrated its 100th anniversary last April.

It is now part of Finland-based Nokia.

JPMorgan is piloting a system that monitors junior investment bankers to avoid burnout (source paywalled; alternative source). "[T]he bank will seek to match up hours claimed by the bankers with digital activity," reports Bloomberg. "The tool won't be used for evaluation purposes, but is designed to provide a better estimate of employee workloads." From the report: The program will monitor the weekly digital footprint, including video calls, desktop keystrokes, and scheduled meetings, the Financial Times reported earlier, adding JPMorgan plans to roll out the effort more widely across its investment bank. Banks on Wall Street are known for heavy working hours, but can in return offer salaries of as much as $200,000 for entry-level analyst and associate roles. "Much like the weekly screen time summaries on a smartphone, this tool is about awareness -- not enforcement," a representative for JPMorgan said in a statement. "It's designed to support transparency, well-being, and encourage open conversations about workload."

An anonymous reader quotes a report from the Wall Street Journal: A battle of insults and threats has broken out between the tech world and Wall Street. What's got everyone so worked up? The same thing that starts most fights: business software. A series of social-media posts went viral in recent days with claims that AI has created a worthy -- and way cheaper -- alternative to the Bloomberg terminal, a computer system that is like oxygen to professional investors. Now "Bloomberg is cooked," some posters argued as they heralded the arrival of a newly released AI tool from startup Perplexity. [...]

The finance bros who worship at the altar of Bloomberg have declared war on the tech evangelists who have put all their faith in AI. To suggest that the terminal is replaceable is "laughable," said Jason Lemire, who jumped into the conversation on LinkedIn. (Ironically or not, his post also included an AI-generated image of churchgoers praying to the Bloomberg terminal). "It seems quite obvious to me that those propagating that post are either just looking for easy engagement and/or have never worked in a serious financial institution," he wrote. [...] Morgan Linton, the co-founder and CTO of AI startup Bold Metrics and an avid Perplexity Computer user, said it's rare for a single AI prompt to generate anything close to what Bloomberg does. That said, he added that tools like this can lay "a really good foundation for a financial application. And that really has not been possible before."

Others aren't so sure. Michael Terry, an institutional investment manager who used the terminal for more than 30 years, said he used a prompt circulating online to try to vibe code a Bloomberg replica on Anthropic's Claude. "It was laughable at best, horrific at worst," he said. Shevelenko acknowledged there are some aspects of the terminal that can't be replicated with vibe coding, including some of Bloomberg's proprietary data inputs. The live chat network, which includes 350,000 financial professionals in 184 countries, would also be hard to re-create, as well as the terminal's data security, reliability and robust support system. "I love Bloomberg. And I know most people that use Bloomberg are very, very loyal and extremely happy," said Lemire. His message to the techies? "There's nothing that you can vibe code in a weekend or even like over the course of a year that's going to come anywhere close."

The UK's science minister is announcing details of a five-year, £2.5 billion investment in nuclear fusion, reports the Times of London, "including building one of the world's first prototype fusion power plants in Nottinghamshire and developing a UK sector projected to employ 10,000 people by 2030." Despite the potentially transformative impact of fusion, which in theory could provide limitless clean energy and create a £12 trillion global market, no country has managed to use this fledgling technology to generate useable electricity... [T]he UK is backing a spherical tokamak design... investing an initial £1.3 billion into a prototype fusion power plant called Step (Spherical Tokamak for Energy Production) on the site of a decommissioned coal-fired power station at West Burton in Nottinghamshire. Paul Methven, chief executive of the government-owned UK Industrial Fusion Solutions, which is delivering the Step project, said the aim is to get the reactor operating early in the 2040s. "It's quite an aggressive programme," he said. "We need to show that we can achieve genuine 'wall socket' energy — which has not been done before."

On Monday, [science minister] Vallance will also announce £180 million for a facility in Culham, Oxfordshire, to manufacture tritium fuel and £50 million for training 2,000 scientists and engineers in fusion-related disciplines. The government is also buying a £45 million fusion-dedicated AI supercomputer called Sunrise to model plasma physics. Scientists at the UK Atomic Energy Authority last year developed an AI model that can rapidly simulate how the ultra-hot fuel in a fusion power plant will behave, cutting calculations that previously took days down to seconds...

Vallance will also announce new support and collaboration for the many fusion, robotics, engineering and AI start-ups working in Britain, to develop a strong supply chain for a new fusion sector. One of those companies, Tokamak Energy, which spun out from the UK Atomic Energy Authority in 2009, has already built a smaller reactor that has informed the Step design. In March 2022, it became the first private organisation in the world to surpass 100 million degrees Celsius in its reactor.

Talks "are at a standstill" for Anthropic's potential $200 million contract with America's Defense Department, reports Reuters (citing several people familiar with the discussions.") The two issues?

- Using AI to surveil Americans
- Safeguards against deploying AI autonomously

The company's position on how its AI tools can be used has intensified disagreements between it and the Trump administration, the details of which have not been previously reported... Anthropic said its AI is "extensively used for national security missions by the U.S. government and we are in productive discussions with the Department of War about ways to continue that work..."

In an essay on his personal blog, Anthropic CEO Dario Amodei warned this week that AI should support national defense "in all ways except those which would make us more like our autocratic adversaries.
A person "familiar with the matter" told the Wall Street Journal this could lead to the cancellation of Anthropic's contract: Tensions with the administration began almost immediately after it was awarded, in part because Anthropic's terms and conditions dictate that Claude can't be used for any actions related to domestic surveillance. That limits how many law-enforcement agencies such as Immigration and Customs Enforcement and the Federal Bureau of Investigation could deploy it, people familiar with the matter said. Anthropic's focus on safe applications of AI — and its objection to having its technology used in autonomous lethal operations — have continued to cause problems, they said.
Amodei's essay calls for "courage, for enough people to buck the prevailing trends and stand on principle, even in the face of threats to their economic interests and personal safety..."

Saturday Nvidia CEO Jensen Huang said they still planned a "huge" investment in OpenAI, according to CNBC.

Friday the Wall Street Journal had reported that Nvidia's plan to invest up to $100 billion in OpenAI "has stalled after some inside the chip giant expressed doubts about the deal, people familiar with the matter said..." [T]he talks haven't progressed beyond the early stages, some of the people said. Now, the two sides are rethinking the future of their partnership, some of the people said. The latest discussions, they said, include an equity investment of tens of billions of dollars as part of OpenAI's current funding round. Nvidia CEO Jensen Huang has privately emphasized to industry associates in recent months that the original $100 billion agreement was nonbinding and not finalized, people familiar with the matter said. He has also privately criticized what he has described as a lack of discipline in OpenAI's business approach and expressed concern about the competition it faces from the likes of Google and Anthropic, some of the people said...

OpenAI is laying the foundation to go public by the end of 2026, and has spent much of the past year racing to secure large amounts of computing capacity to help power OpenAI's future products and growth. The stalled Nvidia pact is a blow to this effort and shows how Chief Executive Sam Altman's penchant for announcing flashy big-ticket deals carries the potential to backfire if the terms have yet to be finalized. In a joint announcement unveiling the September deal with Altman and OpenAI President Greg Brockman, Huang called the deal "the largest computing project in history...." OpenAI went on to sign a string of other agreements with chip and cloud companies that helped fuel a global stock market rally.

But investors have since grown jittery about the startup's ability to pay for these deals, leading to a sell-off in some tech stocks tied to OpenAI. Altman has said that the deals put the startup on the hook for $1.4 trillion in computing commitments — more than 100 times the revenue it was on pace to generate last year. OpenAI executives say the total commitments are lower when you account for overlap in some of the deals, and that the agreements will take place over a long period of time.... Huang has indicated to associates that he still believes it's crucially important to provide OpenAI with financial support in one form or another, in part because OpenAI is one of the chip designer's largest customers, people familiar with the matter said. If OpenAI were to fall behind other AI developers, it could dent Nvidia's sales.
"Speaking to reporters in Taipei, Huang said it was 'nonsense' to say he was unhappy with OpenAI," CNBC reported Saturday: "We are going to make a huge investment in OpenAI. I believe in OpenAI, the work that they do is incredible, they are one of the most consequential companies of our time and I really love working with Sam," he said, referring to OpenAI CEO Sam Altman. "Sam is closing the round (of investment) and we will absolutely be involved," Huang added. "We will invest a great deal of money, probably the largest investment we've ever made."

Asked whether it would be over $100 billion, he said: "No, no, nothing like that."
Elsewhere the Journal has reported that Amazon is in talks to invest up to $50 billion in OpenAI. Thanks to Slashdot reader sinij for sharing the article.

JPMorgan Chase CEO Jamie Dimon interrupted a conversation between Coinbase chief Brian Armstrong and former U.K. Prime Minister Tony Blair at Davos last week to tell Armstrong "You are full of s---," his index finger pointed squarely at Armstrong's face. Dimon told Armstrong to stop lying on TV, according to WSJ.

Armstrong had appeared on business programs earlier that week accusing banks of trying to sabotage the Clarity Act, legislation that would create a new regulatory framework for digital assets. He also accused banks of lending out customers' deposits "without their permission essentially."

The fight centers on stablecoin "rewards" -- regular payouts, say 3.5%, that exchanges like Coinbase offer for holding digital tokens. Banks typically offer under 0.1% on checking accounts and worry consumers will shift their money in droves to crypto. Other bank CEOs were similarly cold at Davos. Bank of America's Brian Moynihan gave Armstrong a 30-minute meeting and told him "If you want to be a bank, just be a bank." Citigroup's Jane Fraser offered less than a minute. Wells Fargo's Charlie Scharf said there was nothing for them to talk about. Armstrong had pulled support from a draft of the Clarity Act on January 14, posting on X that Coinbase would "rather have no bill than a bad bill."

This week Google "unveiled a set of tools for retailers that helps them roll out AI agents," reports the Wall Street Journal, The new retail AI agents, which help shoppers find their desired items, provide customer support and let people order food at restaurants, are part of what Alphabet-owned Google calls Gemini Enterprise for Customer Experience. Major retailers, including home improvement giant Lowe's, the grocer Kroger and pizza chain Papa Johns say they are already using Google's tools to help prepare for the incoming wave of AI-assisted shopping and ordering...

Kicking off the race among tech giants to get ahead of this shift, OpenAI released its Instant Checkout feature last fall, which lets users buy stuff directly through its chatbot ChatGPT. In January, Microsoft announced a similar checkout feature for its Copilot chatbot. Soon after OpenAI's release last year, Walmart said it would partner with OpenAI to let shoppers buy its products within ChatGPT.
But that's just the beginning, reports the New York Times, with hundreds of start-ups also vying for the attention of retailers: There are A.I. start-ups that offer in-store cameras that can detect a customer's age or gender, robots that manage shelves on their own and headsets that give store workers access to product information in real time... The scramble to exploit artificial intelligence is happening across the retail spectrum, from the highest echelons of luxury goods to the most pragmatic of convenience stores.

7-Eleven said it was using conversational A.I. to hire staff at its convenience stores through an agent named Rita (Recruiting Individuals Through Automation). Executives said that they no longer had to worry about whether applicants would show up to interviews and that the system had reduced hiring time, which had taken two weeks, to less than three days.
The article notes that at the National Retail Federation conference, other companies showing their AI advancements included Applebee's, IHOP, the Vitamin Shoppe, Urban Outfitters, Rag & Bone, Kendra Scott, Michael Kors and Philip Morris.

The Wall Street Journal reports that Boston's once-booming biotech sector has hit a sharp downturn, leaving newly minted Ph.D.s struggling to find work as venture funding dries up, lab space sits empty, and companies downsize or relocate amid rising costs and policy uncertainty. The Wall Street Journal reports: Boston's biotech sector, long a vital economic engine for one of America's wealthiest metro areas, is sputtering. A double whammy of cutbacks in venture capital and government funding have taken a toll, leading to layoffs and struggles for job seekers. For workers who thought they would easily launch into a well-paying science career, the downturn has been especially harsh.

Massachusetts experienced a slight decline in its roughly 65,000 biotech research-and-development jobs in 2024 after years of mostly strong increases, including during the Covid-19 pandemic, according to federal data. The numbers indicate that job losses continued through at least June, while hiring remains sluggish. By the end of September, nearly 28% of greater Boston's laboratory space sat empty, according to the latest estimates from real-estate firm CBRE. "Every stage of the life cycle has been impacted by policy or regulatory uncertainty this year," said Kendalle Burlin O'Connell, chief executive of MassBio, an industry trade group. The impact has hit startups especially hard, she said.

A continued downturn poses risks for a region where workers will put up with sky-high real-estate costs if they can land high-paying jobs. Massachusetts faces competition from other states and China, which are eager to peel away talent and investment. "There are states and countries chasing us every single day," Gov. Maura Healey said in an interview. In late October, the Democrat testified before the Massachusetts legislature in support of a $400 million "competitiveness agenda" that she is seeking to spur new investment and supplement research funding lost this year. Lawmakers are reviewing the bill, a House spokesman said.

One psychiatrist has already treated 12 patients hospitalized with AI-induced psychosis — and three more in an outpatient clinic, according to the Wall Street Journal. And while AI technology might not introduce the delusion, "the person tells the computer it's their reality and the computer accepts it as truth and reflects it back," says Keith Sakata, a psychiatrist at the University of California, calling the AI chatbots "complicit in cycling that delusion."

The Journal says top psychiatrists now "increasingly agree that using artificial-intelligence chatbots might be linked to cases of psychosis," and in the past nine months "have seen or reviewed the files of dozens of patients who exhibited symptoms following prolonged, delusion-filled conversations with the AI tools..." Since the spring, dozens of potential cases have emerged of people suffering from delusional psychosis after engaging in lengthy AI conversations with OpenAI's ChatGPT and other chatbots. Several people have died by suicide and there has been at least one murder. These incidents have led to a series of wrongful death lawsuits. As The Wall Street Journal has covered these tragedies, doctors and academics have been working on documenting and understanding the phenomenon that led to them...

While most people who use chatbots don't develop mental-health problems, such widespread use of these AI companions is enough to have doctors concerned.... It's hard to quantify how many chatbot users experience such psychosis. OpenAI said that, in a given week, the slice of users who indicate possible signs of mental-health emergencies related to psychosis or mania is a minuscule 0.07%. Yet with more than 800 million active weekly users, that amounts to 560,000 people...

Sam Altman, OpenAI's chief executive, said in a recent podcast he can see ways that seeking companionship from an AI chatbot could go wrong, but that the company plans to give adults leeway to decide for themselves. "Society will over time figure out how to think about where people should set that dial," he said.
An OpenAI spokeswoman told the Journal that the compan ycontinues improving ChatGPT's training "to recognize and respond to signs of mental or emotional distress, de-escalate conversations and guide people toward real-world support." They added that OpenAI is also continuing to "strengthen" ChatGPT's responses "in sensitive moments, working closely with mental-health clinicians...."

An anonymous reader quotes a report from the Wall Street Journal: The Trump administration has agreed to inject up to $150 million into a startup (source paywalled; alternative source) trying to develop more advanced semiconductor manufacturing techniques in the U.S., its latest bid to support strategically important domestic industries with government incentives. Under the arrangement, the Commerce Department would give the incentives to xLight, a startup trying to improve the critical chip-making process known as extreme ultraviolet lithography, the agency said in a Monday release. In return, the government would get an equity stake that would likely make it xLight's largest shareholder.

The Dutch firm ASML is currently the only global producer of EUV machines, which can cost hundreds of millions of dollars each. XLight is seeking to improve on just one component of the EUV process: the crucially important lasers that etch complex microscopic patterns onto chemical-treated silicon wafers. The startup is hoping to integrate its light sources into ASML's machines. XLight represents a second act for Pat Gelsinger, the former chief executive of Intel who was fired by the board late last year after the chip maker suffered from weak financial performance and a stalled manufacturing expansion. Gelsinger serves as executive chairman of xLight's board.

[...] The xLight deal uses funding from the 2022 Chips and Science Act allocated for earlier stage companies with promising technologies. It is the first Chips Act award in President Trump's second term and is a preliminary agreement, meaning it isn't finalized and could change. "This partnership would back a technology that can fundamentally rewrite the limits of chipmaking," Commerce Secretary Howard Lutnick said in the release.

A new "cold war" between America and China is "pushing leaders to sideline concerns about the dangers of powerful AI models," reports the Wall Street Journal, "including the spread of disinformation and other harmful content, and the development of superintelligent AI systems misaligned with human values..."

"Both countries are driven as much by fear as by hope of progress. " In Washington and Silicon Valley, warnings abound that China's "authoritarian AI," left unchecked, will erode American tech supremacy. Beijing is gripped by the conviction that a failure to keep pace in AI will make it easier for the U.S. to cut short China's resurgence as a global power. Both countries believe market share for their companies across the world is up for grabs — and with it, the potential to influence large swaths of the global population.

The U.S. still has a clear lead, producing the most powerful AI models. China can't match it in advanced chips and has no answer for the financial firepower of private American investors, who funded AI startups to the tune of $104 billion in the first half of 2025, and are gearing up for more. But it has a massive population of capable engineers, lower costs and a state-led development model that often moves faster than the U.S., all of which Beijing is working to harness to tip the contest in its direction. A new "whole of society" campaign looks to accelerate the construction of computing clusters in areas like Inner Mongolia, where vast solar and wind farms provide plentiful cheap energy, and connect hundreds of data centers to create a shared compute pool — some describe it as a "national cloud" — by 2028. China is also funneling hundreds of billions of dollars into its power grid to support AI training and adoption...

"Our lead is probably in the 'months but not years' realm," said Chris McGuire, who helped design U.S. export controls on AI chips while serving on the National Security Council under the Biden administration. Chinese AI models currently rank at or near the top in every task from coding to video generation, with the exception of search, according to Chatbot Arena, a popular crowdsourced ranking platform. China's manufacturing sector, meanwhile, is rocketing past the U.S. in bringing AI into the physical world through robotaxis, autonomous drones and humanoid robots. Given China's progress, McGuire said, the U.S. is "very lucky" to have its advantage in chips...

If AI surpasses human intelligence and acquires the ability to improve itself, it could confer unshakable scientific, economic and military superiority on the country that controls it. Short of that, AI's ability to automate tedious tasks and process vast amounts of data quickly promises to supercharge everything from cancer diagnoses to missile defense. With so much at stake, hacking and cyber espionage are likely to get worse, as AI gives hackers more powerful tools, while increasing incentives for state-backed groups to try to steal AI-related intellectual property. As distrust grows, Washington and Beijing will also find it hard, if not impossible, to cooperate in areas like preventing extremist groups from using AI in destructive ways, such as building bioweapons. "The costs of the AI Cold War are already high and will go much higher," said Paul Triolo, a former U.S. government analyst and current technology policy lead at business consulting firm DGA-Albright Stonebridge Group. "A U.S.-China AI arms race becomes a self-fulfilling prophecy, with neither side able to trust that the other would observe any restrictions on advanced AI capability development...."
The article includes an interesting observation from Helen Toner, director of strategy for Georgetown's Center for Security and Emerging Technology and a former OpenAI board member. Toner points out "We don't actually know" if boosting computing power with better chips will continue producing more-powerful AI models.

So "If performance plateaus," the Journal writes, "despite all the spending by OpenAI and others — a growing concern in Silicon Valley — China has a chance to compete."

An anonymous reader shares a report: The Chinese electric car has become a symbol of the country's seemingly unstoppable rise on the world stage. Many observers point to their growing popularity as evidence that China is winning the race to dominate new technologies. But in China, these electric cars represent something entirely different: the profound threats that Beijing's meddling in markets poses to both China and the world.

Bloated by excessive investment, distorted by government intervention, and plagued by heavy losses, China's EV industry appears destined for a crash. EV companies are locked in a cutthroat struggle for survival. Wei Jianjun, the chairman of the Chinese automaker Great Wall Motor, warned in May that China's car industry could tumble into a financial crisis; it "just hasn't erupted yet."

To bypass government censorship of bad economic news, market analysts have opted for a seemingly anodyne term to describe the Chinese car industry's downward spiral: involution, which connotes falling in on oneself. What happens in China's EV sector promises to influence the entire global automobile market. China's emergence as the world's largest manufacturer of EVs highlights the serious challenge the country poses to even the most advanced industries in the U.S., Europe, and other rich economies. Given the vital role the car industry plays in economies around the world, and the jobs, supply chains, and technologies involved, the stakes are high.

But the wobbles in China's EV sector demonstrate the downside of China's state-led economic model. China's government threw ample resources at the EV industry in the hopes of leapfrogging foreign rivals in the transition to battery-powered vehicles. The Center for Strategic and International Studies estimates that the government provided more than $230 billion of financial assistance to the EV sector from 2009 to 2023. The strategy worked: China's EV makers would likely never have grown as quickly as they have without this substantial state support. By comparison, the recent Republican-sponsored tax bill eliminated nearly all federal subsidies for EVs in the U.S.

The problem is that China's program encouraged too much investment in the sector. Michael Dunne, the CEO of Dunne Insights, a California-based consulting firm focused on the EV industry, counts 46 domestic and international automakers producing EVs in China, far too many for even the world's second-largest economy to sustain.

Long-time Slashdot reader theodp took a good look at the images on a promotional web page for Databricks' "context-aware AI assistant": If there was an AI Demo Hall of Shame, the first inductee would have to be Amazon. Their demo tried to support its CEO's claims that Amazon Q Code Transformation AI saved it 4,500 developer-years and an additional $260 million in "annualized efficiency gains" by automatically and accurately upgrading code to a more current version of Java. But it showcased a program that didn't even spell "Java" correctly. (It was instead called 'Jave')...

Today's nominee for the AI Demo Hall of Shame inductee is analytics platform Databricks for the NYC Taxi Trips Analysis it's been showcasing on its Data Science page since last November. Not only for its choice of a completely trivial case study that requires no 'Data Science' skills — find and display the ten most expensive and longest taxi rides — but also for the horrible AI-generated bar chart used to present the results of the simple ranking that deserves its own spot in the Graph Hall of Shame. In response to a prompt of "Now create a new bar chart with matplotlib for the most expensive trips," the Databricks AI Assistant dutifully complies with the ill-advised request, spewing out Python code to display the ten rides on a nonsensical bar chart whose continuous x-axis hides points sharing the same distance. (One might also question why no annotation is provided to call out or explain the 3 trips with a distance of 0 miles that are among the ten most expensive rides, with fares of $260, $188, and $105).

Looked at with a critical eye, these examples used to sell data scientists, educators, management, investors, and Wall Street on AI would likely raise eyebrows rather than impress their intended audiences.

It's the largest nuclear power plant in Europe. But "Ukraine's foreign minister accused Russia on Sunday of deliberately severing the external power line to the Russian-held Zaporizhzhia nuclear power station," reports Reuters, "in order to link the plant to Moscow's power grid." Ukrainian Foreign Minister Andrii Sybiha said Moscow was attempting to test a reconnection to Russia's grid. Ukraine has long feared that Moscow would try to redirect the plant's output to its grid. But Russian officials have denied any intention of trying to restart the plant, seized by Moscow's forces in the early weeks of the February 2022 invasion of Ukraine.

The plant produces no electricity at the moment, but has been without an external electricity source for nearly three weeks. Officials have relied on emergency diesel generators to secure the power needed to keep the fuel cool inside the facility and guard against a meltdown. "Russia intentionally broke the plant's connection with the Ukrainian grid in order to forcefully test reconnection with the Russian grid," Sybiha wrote on X in English. He denounced the "attempted theft of a peaceful Ukrainian nuclear facility".... Each side has accused the other of shelling that caused the line outage.
Russia's continued occupation of the Zaporizhzhia nuclear power plant deprived Ukraine of a quarter of its generating capacity, according to a report from the Brookings Institute — calling Ukraine's energy sector "a key battleground" in the war. The Russian invasion began on the very day that Ukraine launched its so-called island test. This involved completely isolating the Ukrainian and Moldovan power systems from their neighbors to check whether the system was stable. This is a mandatory procedure prior to synchronization with the European grid... Despite this, Ukraine managed not only to militarily defend itself but also to maintain grid stability in wartime conditions and implement all the solutions necessary for an unprecedented synchronization on March 16, 2022.
In 2022 a former commissioner of the U.S. Nuclear Regulatory Commission (from 1998 to 2007) even argued in the Wall Street Journal that "An unappreciated motive for Russia's invasion of Ukraine is that Kyiv was positioning itself to break from its longtime Russian nuclear suppliers..." At the time of the invasion, Westinghouse supplied fuel to six of the 15 [Ukrainian] nuclear reactors and could displace the Russians in all of them. The U.S. government had been highly supportive of this effort, and these fuel contracts represented hundreds of millions of dollars in yearly lost sales to Atomstroyexport [a nuclear exporter that's a subsidiary of Russian state corporation Rosatom]. By seizing the nuclear plants, Russia is able to retake the market for Ukrainian nuclear fuel.

Most important, Westinghouse, with support from the U.S., was in a position to build nuclear reactors in Ukraine over the next two decades. On Aug. 31, 2021, Energy Secretary Jennifer Granholm and her Ukrainian counterpart, Herman Halushchenko, signed a strategic cooperation agreement to build five nuclear units with a value, according to the World Nuclear Association, of more than $30 billion. The timing is telling. In November 2021, Ukraine's leaders signed a deal with Westinghouse to start construction on what they hoped would be at least five nuclear units — the first tranche of a program that could more than double the number of plants in the country, with a potential total value approaching $100 billion. Ukraine clearly intended that Russia receive none of that business.
Brookings looks at how Ukraine's energy sector has fared during the war: The Ukrainian energy sector was designed to be oversized with significant redundancy in order to meet huge Soviet-era industrial demand as well as to make it more resilient to a future world war... A radical change did not occur until 2014, when Ukrainians overthrew the pro-Russian president, Viktor Yanukovych. In the decade since then, Ukraine has pursued a policy of European Union (EU) integration with determination and without interruption... The real prospect of an improvement in the quality of life and development of Ukraine through integration with the EU and NATO was unacceptable to Russia, which first annexed Crimea and covertly attacked the Ukrainian Donbas, before launching a full-scale invasion of Ukraine on February 24, 2022. Russia's in-depth knowledge of the Ukrainian power system, dating back to the Soviet Union, was used to carry out a well-planned operation to cut off electricity to Ukrainians.

The aim was to break the morale of Ukrainians to continue defending themselves and to collapse the economy so that it could not support the Ukrainian military effort. Ironically, however, the size of the energy system, which had been scaled up in case of war, and the enormous Western support, unexpectedly ensured its resilience to Russian attacks.
Although they note that "During the first two years of the war, Russia fired nearly 2,000 missiles and drones at Ukrainian energy infrastructure... "

And this week in Ukraine, damage to substations, power plants and oil depot temporarily cut off electricity for hundreds of thousands of Ukrainian homes and businesses, reports the UN. "As colder weather sets in, strikes on critical infrastructure are deepening humanitarian needs," warned a UN spokesperson on Thursday...

The Washington Post notes AI's "increasingly outsize role" in propping up America's economic fortunes.

"Last week, the United States reported that the economy expanded at a rate of 1.6 percent in the first half of the year, with most of that growth driven by AI spending. Without AI investment, growth would have been at about a third of that rate, according to data from the Bureau of Economic Analysis." The huge economic influence of AI spending illustrates how Silicon Valley is placing a bet of unprecedented scale that the technology will revolutionize every aspect of life and work. Its sway suggests there will be economic damage far beyond Silicon Valley if that bet doesn't work out or companies pull back. Google, Meta, Microsoft and Amazon are on track to spend nearly $400 billion this year on data centers...

Concern about a potential bubble in AI investment has recently grown in technology and financial circles. ChatGPT and other AI tools are hugely popular with companies and consumers, and hundreds of billions of dollars has been sunk into AI ventures over the past three years. But few of the new initiatives are profitable, and huge profits will be needed for the immense investments to pay off... "I'm getting more and more skeptical and more and more concerned with what's happening" with artificial intelligence, said Andrew Odlyzko, an economic historian and University of Minnesota emeritus professor who has studied financial bubbles closely, including the telecom bubble that collapsed in 2001 as part of the dot-com crash. Some industry insiders have expressed concern that the latest AI releases have fallen short of expectations, suggesting the technology may not advance enough to pay back the huge investments being made, he said. "AI is a craze," Odlyzko said...

[The Federal Reserve's August "beige book" summarizes interviews with business owners across the country, according to the article — and it found surging investments in AI data centers, which could tie their fortunes to other sectors.] That's boosting demand for electricity and trucking in the Atlanta region, a hot spot for the facilities, and creating new projects for commercial real estate developers in the Philadelphia region. Because tech companies now dominate public markets, any change in their fortunes and share prices can also have a powerful influence on stock indexes, 401(k)s and the wider economy... Stock market slumps can have knock-on effects by undercutting the confidence of American businesses and consumers, leading them to spend less, said Gregory Daco [chief economist at strategy consulting firm EY-Parthenon]... "That directly affects economic activity," he said, potentially widening the economic fallout...

Goldman Sachs analysts wrote in a Sept. 4 note to clients that even if AI investment works out for companies like Google, there will be an "inevitable slowdown" in data center construction. That will cut revenue to companies providing the projects with chips and electricity, the note said. In a more extreme scenario where Big Tech pulls back spending to 2022 levels, the entire S&P 500 would lose 30 percent of the revenue growth Wall Street currently expects next year, the analysts wrote.
The AI bubble is 17 times the size of the dot-com frenzy — and four times the subprime bubble, according to estimates in a recent note from independent research firm the MacroStrategy Partnership (as reported by MarketWatch).

And "never before has so much money been spent so rapidly on a technology that, for all its potential, remains somewhat unproven as a profit-making business model," writes Bloomberg, adding that OpenAI and other large tech companies are "relying increasingly on debt to support their unprecedented spending." (Although Bloomberg also notes that ChatGPT alone has roughly 700 million weekly users, and that last month Anthropic reported roughly three quarters of companies are using Claude to automate work.)

TIOBE attempts to calculate programming language popularity using the number of skilled engineers, courses, and third-party vendors.

And the eight most popular languages in September's rankings haven't changed since last month:

1. Python
2. C++
3. C
4. Java
5. C#
6. JavaScript
7. Visual Basic
8. Go

But by TIOBE's ranking, Perl is still the #10 most-popular programming in September (dropping from #9 in August). "One year ago Perl was at position 27 and now it suddenly pops up at position 10 again," marvels TIOBE CEO Paul Jansen. The technical reason why Perl is rated this high is because of its huge number of books on Amazon. It has 4 times more books listed than for instance PHP, or 7 times more books than Rust. The underlying "real" reason for Perl's increase of popularity is unknown to me. The only possibility I can think of is that Perl 5 is now gradually considered to become the real Perl... Perl 6/Raku is at position 129 of the TIOBE index, thus playing no role at all in the programming world. Perl 5 on the other hand is releasing more often recently, thus gaining attention.
An article at the i-Programmer blog thinks Perl's resurgence could be from its text processing capabilities: Even in this era of AI, everything is still governed by text formats; text is still the King. XML, JSON calling APIs, YAML, Markdown, Log files..That means that there's still need to process it, transform it, clean it, extract from it. Perl with its first-class-citizen regular expressions, the wealth of text manipulation libraries up on CPAN and its full Unicode support of all the latest standards, was and is still the best. Simply there's no other that can match Perl's text processing capabilities.
They also cite Perl's backing by the open source community, and its "getting a 'proper' OOP model in the last couple of years... People just don't know what Perl is capable of and instead prefer to be victims of FOMO ephemeral trends, chasing behind the new and shiny."

Perl creator Larry Wall answered questions from Slashdot's readers in 2016. So I'd be curious from Slashdot's readers about Perl today. (Share your experiences in the comments if you're still using Perl -- or Raku...)

Perl's drop to #9 means Delphi/Object Pascal rises up one rank, growing from 1.82% in August to 2.26% in September to claim September's #9 spot. "At number 11 and 1.86%, SQL is quite close to entering the top 10 again," notes TechRepublic. (SQL fell to #12 in June, which the site speculated was due to "the increased use of NoSQL databases for AI applications.")

But TechRepublic adds that the #1 most popular programming language (according to TIOBE) is still Python: Perl sits at 2.03% in TIOBE's proprietary ranking system in September, up from 0.64% in January. Last year, Perl held the 27th position... Python's unstoppable rise dipped slightly from 26.14% in August to 25.98% in September. Python is still well ahead of every other language on the index.