How the data center boom plunged one small Pennsylvania town into chaos. Valley View Estates is set to be surrounded by data centers. Get your news from a source that's not owned and controlled by oligarchs. "I don't like to see anyone upset," said Nick Farris of Provident Real Estate Advisors. He was sitting in the front of a crowd of roughly 150 inside Valley View High School's auditorium in Archbald, a town of about 7,500, huddled between two mountain ranges in Pennsylvania's Lackawanna Valley. Farris was there to represent the developer for Project Scott, one of many data center campuses coming to town. "I think that this is the best data center site in this area of the country, by far." The audience had been fairly quiet, bundled in thick coats against the late January cold. But as Farris spoke about data centers as a boon for communities, they began to laugh, drawing a rebuke from town officials. "What about the children?" someone shouted from the crowd. The children were watching from the walls; long banners of Valley View Performing Arts students hanging around the auditorium like championship pennants. Project Scott and four other data facilities will sit just a few thousand feet from the middle and high schools. He was referring to Lockheed Martin's 350,000-square-foot Missiles and Fire Control facility directly next to the high school, parts of which are highly contaminated . "That sucks too!" another attendee yelled back.

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It's easy to be cynical about technology these days. Many of the "disruptions" of the last 15 years were more about coddling a certain set of young, moneyed San Franciscans than improving the world. Yet you can be sympathetic to the techlash and still fully buy into the idea that technology can be good. We really can build tools that make this planet healthier, more livable, more equitable, and just all-around better. And some people are doing just that, pushing progress forward across a number of fundamental, potentially world-changing technologies. These are exactly the technologies we aim to spotlight in our annual 10 Breakthrough Technologies list.

Could Ukraine hold a presidential election right now? Will Europe use frozen Russian assets to fund war? How can Ukraine rebuild China ties? 'Ukraine is running out of men, money and time' Each week, Myroshnyk Vassyl Savych heads north to deliver his newspaper to border communities exposed to Russian fire and disinformation. Editor-in-Chief Myroshnyk Vassyl Savych gets ready to deliver his weekly newspaper, Zorya Visnyk (The Dawn Bulletin), from his office in Zolochiv, in Ukraine's Kharkiv region, to front-line villages in November 2025 [Louis Lemaire/Al Jazeera] Editor-in-Chief Myroshnyk Vassyl Savych gets ready to deliver his weekly newspaper, Zorya Visnyk (The Dawn Bulletin), from his office in Zolochiv, in Ukraine's Kharkiv region, to front-line villages in November 2025 [Louis Lemaire/Al Jazeera] It's a cold, foggy morning in early November, and Myroshnyk Vassyl Savych is driving north on a narrow road in eastern Ukraine towards the Russian border. He's headed to villages where, owing to increasing exposure to Russian fire, only a fraction of residents remain. The war has cut them off from regular services. They no longer receive mail, and Russian transmitters often overpower or interfere with their Ukrainian mobile-phone signals. Before large-scale signal jamming was introduced to counter drones, Russian television and radio channels were accessible on televisions and radios in border-area communities. In his trunk are bundles of Zorya Visnyk ( The Dawn Bulletin), a local newspaper that Vassyl edits and delivers to front-line communities in Ukraine's Kharkiv region.

Using (generative) artificial intelligence tools and systems in journalism is expected to increase journalists' production rates, transform newsrooms' economic models, and further personalize the audience's news consumption practices. Since its release in 2022, OpenAI's ChatGPT and other large language models have raised the alarms inside news organizations, not only for bringing new challenges to news reporting and fact-checking but also for what these technologies would mean for journalists' professional authority in journalism. This paper examines how journalists in Dutch media manage the integration of AI technologies into their daily routines. Drawing from 13 interviews with editors, journalists, and innovation managers in different news outlets and media companies, we propose the concept of controlled change. as a heuristic to explain how journalists are proactively setting guidelines, experimenting with AI tools, and identifying their limitations and capabilities. Using professional authority as a theoretical framework, we argue that journalists anticipate and integrate AI technologies in a supervised manner and identify three primary mechanisms through which journalists manage this integration: (1) developing adaptive guidelines that align AI use with ethical codes, (2) experimenting with AI technologies to determine their necessity and fit, and (3) critically assessing the capabilities and limitations of AI systems.

Why Are Chatbots Parroting Russian Propaganda? Welcome back to, TIME's new twice-weekly newsletter about AI. Starting today, we'll be publishing these editions both as stories on Time.com and as emails. If you're reading this in your browser, why not subscribe to have the next one delivered straight to your inbox? What to Know: Why are chatbots parroting Russian disinformation? Over the last year, as chatbots have gained the ability to search the internet before providing an answer, the likelihood that they will share false information about specific topics in the news has gone up, according to new research by NewsGuard Technologies.

Politico became one of the first newsrooms last year to win a union contract that included rules on how the media outlet can deploy artificial intelligence. The PEN Guild, which represents Politico and its sister publication, environment and energy site E&E News, is now gearing up for another first. The union's members allege that the AI provisions in their contract have been violated, and they're preparing for a groundbreaking legal dispute with management. The outcome could set a precedent for how much input journalists ultimately have over how AI is used in their newsrooms. Last year, Politico began publishing AI-generated live news summaries during big political events like the Democratic National Convention and the US vice presidential debates.

In early March, a job advert was doing the rounds among sports journalists. It was for an "AI-assisted sports reporter" at USA Today's publisher, Gannett. It was billed as a role at the "forefront of a new era in journalism", but came with a caveat: "This is not a beat-reporting position and does not require travel or face-to-face interviews." The dark humour was summed up by football commentator, Gary Taphouse: "It was fun while it lasted." As the relentless march of artificial intelligence continues, newsrooms are wrestling with the threats and opportunities the technology creates.

Journalism has emerged as an essential domain for understanding the uses, limitations, and impacts of large language models (LLMs) in the workplace. News organizations face divergent financial incentives: LLMs already permeate newswork processes within financially constrained organizations, even as ongoing legal challenges assert that AI companies violate their copyright. At stake are key questions about what LLMs are created to do, and by whom: How might a journalist-led LLM work, and what can participatory design illuminate about the present-day challenges about adapting ``one-size-fits-all'' foundation models to a given context of use? In this paper, we undertake a co-design exploration to understand how a participatory approach to LLMs might address opportunities and challenges around AI in journalism. Our 20 interviews with reporters, data journalists, editors, labor organizers, product leads, and executives highlight macro, meso, and micro tensions that designing for this opportunity space must address. From these desiderata, we describe the result of our co-design work: organizational structures and functionality for a journalist-controlled LLM. In closing, we discuss the limitations of commercial foundation models for workplace use, and the methodological implications of applying participatory methods to LLM co-design.

Axios is expanding its local newsletter presence from 30 to 34 cities. In its continued pretense of benefiting newsrooms, OpenAI has partnered with Axios in a three-year deal to cover Pittsburgh, Pennsylvania; Kansas City, Missouri; Boulder, Colorado; and Huntsville, Alabama. What does OpenAI get in exchange for its funding? Oh, just the ability to use Axios content to answer users' questions. Like the close to 20 newsrooms that OpenAI has already partnered with, Axios seems to have forgotten that the scorpion did end up stinging the frog.