The Wikimedia Foundation halted an experiment that would have displayed AI-generated summaries atop Wikipedia articles after the platform's volunteer editor community delivered an overwhelmingly negative response to the proposal. The foundation announced the two-week mobile trial on June 2 and suspended it just one day later following dozens of critical comments from editors.

The experiment, called "Simple Article Summaries," would have used Cohere's open-weight Aya model to generate simplified versions of complex Wikipedia articles. The AI-generated summaries would have appeared at the top of articles with a yellow "unverified" label, requiring users to click to expand and read them. Editors responded with comments including "very bad idea," "strongest possible oppose," and simply "Yuck."

Disney and NBCUniversal have filed a copyright infringement lawsuit against AI image generator firm Midjourney in U.S. District Court in Los Angeles, marking the first time major Hollywood studios have taken legal action against a generative AI company.

The entertainment giants accuse Midjourney, founded in 2021, of training its software on "countless" copyrighted works without permission and enabling users to create images that "blatantly incorporate and copy" famous characters including Darth Vader, the Minions, Frozen's Elsa, Shrek, and Homer Simpson.

The companies claim they attempted to resolve the matter privately, but Midjourney "continued to release new versions" with "even higher quality infringing images" according to the complaint. Disney's general counsel used the word "piracy," to describe Midjourney's practice, while NBCUniversal's general counsel characterized it as "blatant infringement."

Apple executives defended the company's AI strategy this week after acknowledging that major Siri features announced at last year's Worldwide Developers Conference remain undelivered and were quietly pulled from development plans. Craig Federighi, Apple's senior vice president of software engineering, told the Wall Street Journal that the company is rebuilding Siri from the ground up, admitting that while Apple had working software for the promised features, "it didn't converge in the way quality-wise that we needed it to."

The missing capabilities included Siri's ability to search through apps and respond to on-screen activities, features that were demonstrated a year ago but never shipped to users. In the upcoming iOS 26, Apple has instead incorporated more OpenAI technology, allowing users to interact with ChatGPT through camera and screenshots and generate images using OpenAI's tools. Federighi defended the strategy by comparing Apple's position to the early internet era, when the company focused on making other services accessible rather than building competing platforms.

The FDA plans to use AI to "radically increase efficiency" in deciding whether to approve new drugs and devices, drawing on lessons from Operation Warp Speed to reduce review times to weeks. The plan was laid out in an article published Tuesday in JAMA. The New York Times reports: Another initiative involves a review of chemicals and other "concerning ingredients" that appear in U.S. food but not in the food of other developed nations. And officials want to speed up the final stages of making a drug or medical device approval decision to mere weeks, citing the success of Operation Warp Speed during the Covid pandemic when workers raced to curb a spiraling death count. [...]

Last week, the agency introduced Elsa, an artificial intelligence large-language model similar to ChatGPT. The FDA said it could be used to prioritize which food or drug facilities to inspect, to describe side effects in drug safety summaries and to perform other basic product-review tasks. The FDA officials wrote that A.I. held the promise to "radically increase efficiency" in examining as many as 500,000 pages submitted for approval decisions.

Current and former health officials said the A.I. tool was helpful but far from transformative. For one, the model limits the number of characters that can be reviewed, meaning it is unable to do some rote data analysis tasks. Its results must be checked carefully, so far saving little time. Staff members said that the model was hallucinating, or producing false information. Employees can ask the Elsa model to summarize text or act as an expert in a particular field of medicine.

An anonymous reader quotes a report from Reuters: Indirect carbon emissions from the operations of four of the leading AI-focused tech companies rose on average by 150% from 2020-2023, due to the demands of power-hungry data centers, a United Nations report (PDF) said on Thursday. The use of artificial intelligence by Amazon, Microsoft, Alphabet and Meta drove up their global indirect emissions because of the vast amounts of energy required to power data centers, the report by the International Telecommunication Union (ITU), the U.N. agency for digital technologies, said.

Indirect emissions include those generated by purchased electricity, steam, heating and cooling consumed by a company. Amazon's operational carbon emissions grew the most at 182% in 2023 compared to three years before, followed by Microsoft at 155%, Meta at 145% and Alphabet at 138%, according to the report. The ITU tracked the greenhouse gas emissions of 200 leading digital companies between 2020 and 2023. [...] As investment in AI increases, carbon emissions from the top-emitting AI systems are predicted to reach up to 102.6 million tons of carbon dioxide equivalent per year, the report stated.

The data centres that are needed for AI development could also put pressure on existing energy infrastructure. "The rapid growth of artificial intelligence is driving a sharp rise in global electricity demand, with electricity use by data centers increasing four times faster than the overall rise in electricity consumption," the report found. It also highlighted that although a growing number of digital companies had set emissions targets, those ambitions had not yet fully translated into actual reductions of emissions. UPDATE: The headline has been revised to clarify that four leading AI-focused tech companies saw their operational emissions rise to 150% of their 2020 levels by 2023 -- a 50% increase, not a 150% one.

"It is true, Google AI is stomping on the entire internet," writes Slashdot reader TheWho79, sharing a report from the Wall Street Journal. "From HuffPost to the Atlantic, publishers prepare to pivot or shut the doors. ... Even highly regarded old school bullet-proof publications like Washington Post are getting hit hard." From the report: Traffic from organic search to HuffPost's desktop and mobile websites fell by just over half in the past three years, and by nearly that much at the Washington Post, according to digital market data firm Similarweb. Business Insider cut about 21% of its staff last month, a move CEO Barbara Peng said was aimed at helping the publication "endure extreme traffic drops outside of our control." Organic search traffic to its websites declined by 55% between April 2022 and April 2025, according to data from Similarweb.

At a companywide meeting earlier this year, Nicholas Thompson, chief executive of the Atlantic, said the publication should assume traffic from Google would drop toward zero and the company needed to evolve its business model. [...] "Google is shifting from being a search engine to an answer engine," Thompson said in an interview with The Wall Street Journal. "We have to develop new strategies."

The rapid development of click-free answers in search "is a serious threat to journalism that should not be underestimated," said William Lewis, the Washington Post's publisher and chief executive. Lewis is former CEO of the Journal's publisher, Dow Jones. The Washington Post is "moving with urgency" to connect with previously overlooked audiences and pursue new revenue sources and prepare for a "post-search era," he said.

At the New York Times, the share of traffic coming from organic search to the paper's desktop and mobile websites slid to 36.5% in April 2025 from almost 44% three years earlier, according to Similarweb. The Wall Street Journal's traffic from organic search was up in April compared with three years prior, Similarweb data show, though as a share of overall traffic it declined to 24% from 29%. Further reading: Google's AI Mode Is 'the Definition of Theft,' Publishers Say

An anonymous reader quotes a report from Axios: President Trump quietly took a red pen to much of the Biden administration's cyber legacy in a little-noticed move late Friday. Under an executive order signed just before the weekend, Trump is tossing out some of the major touchstones of Biden's cyber policy legacy -- while keeping a few others. The order preserves efforts around post-quantum cryptography, advanced encryption standards, and border gateway protocol security, along with the Cyber Trust Mark program -- an Energy Star-type labeling initiative for consumer smart devices. But hallmark programs tied to software bills of materials, zero-trust implementation, and space contractor cybersecurity requirements have been either rescinded or left in limbo. The new executive order amends both the Biden cyber executive order signed in January and an Obama administration order.

Each of the following Biden-era programs is now out the door or significantly rolled back:
- A broad requirement for federal software vendors to provide a software bill of materials - essentially an ingredient list of code components - is gone.
- Biden-era efforts to encourage federal agencies to accept digital identity documents and help states develop mobile driver's licenses were revoked.
- Several AI cybersecurity research mandates, including those focused on AI-generated code security and AI-driven patch management pilots, have been scrapped or deprioritized.
- The requirement that software contractors formally attest they followed secure development practices - and submit those attestations to a federal repository - has been cut. Instead, the National Institute of Standards and Technology will now coordinate a new industry consortium to review software security guidelines.

Starbucks is piloting a generative AI assistant called "Green Dot Assist" to streamline barista tasks and improve service speed, with plans for a broader rollout in fiscal 2026. The assistant is built on Microsoft Azure's OpenAI platform. CNBC reports: Instead of flipping through manuals or accessing Starbucks' intranet, baristas will be able to use a tablet behind the counter equipped with Green Dot Assist to get answers to a range of questions, from how to make an iced shaken espresso to troubleshooting equipment errors. Baristas can either type or verbally ask their queries in conversational language.

As the AI assistant evolves, Starbucks has even bigger plans for its next generation. Those ideas include automatically creating a ticket with IT for equipment issues or generating suggestions for a substitute when a barista calls out of work, according to [Starbucks Chief Technology Officer Deb Hall Lefevre]. [...] Lefevre said tenured baristas have been learning to use the new POS in as little as an hour. Plus, the technology can offer personalized recommendations and loyal customers' repeat orders, helping Starbucks achieve the personalized touch it's looking to bring back to its cafes. "It's just another example of how innovation technology is coming into service of our partners and making sure that we're doing all we can to simplify the operations, make their jobs just a little bit easier, maybe a little bit more fun, so that they can do what they do best," Lefevre told CNBC.

Bluesky's user engagement has fallen roughly 50% since peaking in mid-November, according to a recent Pew Research Center analysis, as progressive groups' efforts to migrate users from Elon Musk's X platform show signs of failure. The research found that while many news influencers maintain Bluesky accounts, two-thirds post irregularly compared to more than 80% who still post daily to X. A Washington Post columnist tries to make sense of it: The people who have migrated to Bluesky tend to be those who feel the most visceral disgust for Musk and Trump, plus a smattering of those who are merely curious and another smattering who are tired of the AI slop and unregenerate racism that increasingly pollutes their X feeds. Because the Musk and Trump haters are the largest and most passionate group, the result is something of an echo chamber where it's hard to get positive engagement unless you're saying things progressives want to hear -- and where the negative engagement on things they don't want to hear can be intense. That's true even for content that isn't obviously political: Ethan Mollick, a professor at the University of Pennsylvania's Wharton School who studies AI, recently announced that he'll be limiting his Bluesky posting because AI discussions on the platform are too "fraught."

All this is pretty off-putting for folks who aren't already rather progressive, and that creates a threefold problem for the ones who dream of getting the old band back together. Most obviously, it makes it hard for the platform to build a large enough userbase for the company to become financially self-sustaining, or for liberals to amass the influence they wielded on old Twitter. There, they accumulated power by shaping the contours of a conversation that included a lot of non-progressives. On Bluesky, they're mostly talking among themselves.

AI is speeding up the work of America's intelligence services, Director of National Intelligence Tulsi Gabbard said Tuesday. From a report: Speaking to a technology conference, Gabbard said AI programs, when used responsibly, can save money and free up intelligence officers to focus on gathering and analyzing information. The sometimes slow pace of intelligence work frustrated her as a member of Congress, Gabbard said, and continues to be a challenge. AI can run human resource programs, for instance, or scan sensitive documents ahead of potential declassification, Gabbard said. Her office has released tens of thousands of pages of material related to the assassinations of President John F. Kennedy and his brother, New York Sen. Robert F. Kennedy, on the orders of President Donald Trump.

Experts had predicted the process could take many months or even years, but AI accelerated the work by scanning the documents to see if they contained any material that should remain classified, Gabbard said during her remarks at the Amazon Web Services Summit in Washington. "We have been able to do that through the use of AI tools far more quickly than what was done previously -- which was to have humans go through and look at every single one of these pages," Gabbard said.

Apple's latest AI models continue to lag behind competitors, according to the company's own benchmark testing it disclosed this week. The tech giant's newest "Apple On-Device" model, which runs locally on iPhones and other devices, performed only "comparably" to similarly-sized models from Google and Alibaba in human evaluations of text generation quality -- not better, despite being Apple's most recent release.

The performance gap widens with Apple's more powerful "Apple Server" model, designed for data center deployment. Human testers rated it behind OpenAI's year-old GPT-4o in text generation tasks. In image analysis tests, evaluators preferred Meta's Llama 4 Scout model over Apple Server, a particularly notable result given that Llama 4 Scout itself underperforms leading models from Google, Anthropic, and OpenAI on various benchmarks.

Cisco is updating its networking and security products to make AI networks speedier and more secure, part of a broader push to capitalize on the AI spending boom. From a report: A new generation of switches -- networking equipment that links computer systems -- will offer a 10-fold improvement in performance, the company said on Tuesday. That will help prevent AI applications from suffering bottlenecks when transferring data, Cisco said. Networking speed has become a bigger issue as data center operators try to manage a flood of AI information -- both in the cloud and within the companies' own facilities. Slowdowns can hinder AI models, Cisco President and Chief Product Officer Jeetu Patel said in an interview. That applies to the development phase -- known as training -- and the operation of the models, a stage called inference. A massive build-out of data centers has made Cisco more relevant, he said. "AI is going to be network-bound, both on training and inference," Patel said. Having computer processors sit idle during training because of slow networks is "just throwing away money."

The Class of 2025 is encountering the worst entry-level job market in years with unemployment among recent degree-holders aged 22 to 27 reaching 5.8% this spring -- the highest level in approximately four years and well above the national average. According to Federal Reserve Bank of New York data, 85% of the unemployment rate increase since mid-2023 stems from new labor market entrants struggling to find work.

Corporate hiring freezes implemented under threats of President Trump's tariffs, combined with AI replacing traditional entry-level positions, have severely constrained opportunities for new graduates. More than 60% of executives surveyed on LinkedIn indicate that AI will eventually assume tasks currently assigned to entry-level employees, particularly mundane and manual roles.

The impact varies significantly by major, with computer engineering graduates -- once highly sought-after -- now facing a 7.5% unemployment rate, the third-highest among recent graduates. Employment in computer science and mathematical jobs for those under 27 has dropped 8% since 2022, even as it grew 0.8% for older workers.

OpenAI plans to add Alphabet's Google cloud service to meet its growing needs for computing capacity, Reuters reported Tuesday, marking a surprising collaboration between two prominent competitors in the AI race. From the report: The deal, which has been under discussion for a few months, was finalized in May, one of the sources added. It underscores how massive computing demands to train and deploy AI models are reshaping the competitive dynamics in AI, and marks OpenAI's latest move to diversify its compute sources beyond its major supporter Microsoft, including its high-profile Stargate data center project.

It is a win for Google's cloud unit, which will supply additional computing capacity to OpenAI's existing infrastructure for training and running its AI models, sources said, who requested anonymity to discuss private matters. The move also comes as OpenAI's ChatGPT poses the biggest threat to Google's dominant search business in years, with Google executives recently saying that the AI race may not be winner-take-all.

Longtime Slashdot reader theodp writes: The old Code.org curriculum page for middle and high school students has been changed to include a new Python Lab in the tech-backed nonprofit's K-12 offerings. Elsewhere on the site, a Computer Science and AI Foundations curriculum is described that includes units on 'Foundations of AI Programming [in Python]' and 'Insights from Data and AI [aka Data Science].' A more-detailed AI Foundations Syllabus 25-26 document promises a second semester of material is coming soon: "This semester offers an innovative approach to teaching programming by integrating learning with and about artificial intelligence (AI). Using Python as the primary language, students build foundational programming skills while leveraging AI tools to enhance computational thinking and problem-solving. The curriculum also introduces students to the basics of creating AI-powered programs, exploring machine learning, and applying data science principles."

Newly-posted videos on Code.org's YouTube channel appear to be intended to support the new Python-based CS & AI course. "Python is extremely versatile," explains a Walmart data scientist to open the video for Data Science: Using Python. "So, first of all, Python is one of the very few languages that can handle numbers very, very well." A researcher at the Univ. of Washington's Institute for Health Metrics and Evaluation (IHME) adds, "Python is the gold standard and what people expect data scientists to know [...] Key to us being able to handle really big data sets is our use of Python and cluster computing." Adding to the Python love, an IHME data analyst explains, "Python is a great choice for large databases because there's a lot of support for Python libraries."

Code.org is currently recruiting teachers to attend its CS and AI Foundations Professional Learning program this summer, which is being taught by Code.org's national network of university and nonprofit regional partners (teachers who signup have a chance to win $250 in DonorsChoose credits for their classrooms). A flyer for a five-day Michigan Professional Development program to prepare teachers for a pilot of the Code.org CS & A course touts the new curriculum as "an alternative to the AP [Computer Science] pathway" (teachers are offered scholarships covering registration, lodging, meals, and workshop materials).

Interestingly, Code.org's embrace of Python and Data Science comes as the nonprofit changes its mission to 'make CS and AI a core part of K-12 education' and launches a new national campaign with tech leaders to make CS and AI a graduation requirement. Prior to AI changing the education conversation, Code.org in 2021 boasted that it had lined up a consortium of tech giants, politicians, and educators to push its new $15 million Amazon-bankrolled Java AP CS A curriculum into K-12 classrooms. Just three years later, however, Amazon CEO Andy Jassy was boasting to investors that Amazon had turned to AI to automatically do Java coding that he claimed would have otherwise taken human coders 4,500 developer-years to complete.

Meta is preparing to unveil a new AI research lab dedicated to pursuing "superintelligence," a hypothetical A.I. system that exceeds the powers of the human brain, as the tech giant jockeys to stay competitive in the technology race, New York Times reported Tuesday, citing four people with the knowledge of the company's plans. From the report: Meta has tapped Alexandr Wang, 28, the founder and chief executive of the A.I. start-up Scale AI, to join the new lab, the people said, and has been in talks to invest billions of dollars in his company as part of a deal that would also bring other Scale employees to the company.

Meta has offered seven- to nine-figure compensation packages to dozens of researchers from leading A.I. companies such as OpenAI and Google, with some agreeing to join, according to the people. The new lab is part of a larger reorganization of Meta's A.I. efforts, the people said. The company, which owns Facebook, Instagram and WhatsApp, has recently grappled with internal management struggles over the technology, as well as employee churn and several product releases that fell flat, two of the people said.

Robert F. Smith, CEO of Vista Equity Partners, told attendees at the SuperReturn International 2025 conference in Berlin last week that 60% of the 5,500 finance professionals present will be "looking for work" next year due to AI disruption.

Smith predicted that while 40% of attendees will adopt AI agents -- programs that autonomously perform complex, multi-step tasks -- the remaining majority will need to find new employment as AI transforms the sector. "All of the jobs currently carried out by one billion knowledge workers today would change due to AI," Smith said, clarifying that while jobs won't disappear entirely, they will fundamentally transform.

Ohio State University is launching a campus-wide AI fluency initiative requiring all students to integrate AI into their studies, aiming to make them proficient in both their major and the responsible use of AI. "Ohio State has an opportunity and responsibility to prepare students to not just keep up, but lead in this workforce of the future," said the university's president, Walter "Ted" Carter Jr. He added: "Artificial intelligence is transforming the way we live, work, teach and learn. In the not-so-distant future, every job, in every industry, is going to be [affected] in some way by AI." The Guardian reports: The university said its program will prioritize the incoming freshman class and onward, in order to make every Ohio State graduate "fluent in AI and how it can be responsibly applied to advance their field." [...] Steven Brown, an associate professor of philosophy at the university, told NBC News that after students turned in the first batch of AI-assisted papers he found "a lot of really creative ideas."

"My favorite one is still a paper on karma and the practice of returning shopping carts," Brown said. Brown said that banning AI from classwork is "shortsighted," and he encouraged his students to discuss ethics and philosophy with AI chatbots. "It would be a disaster for our students to have no idea how to effectively use one of the most powerful tools that humanity has ever created," Brown said. "AI is such a powerful tool for self-education that we must rapidly adapt our pedagogy or be left in the dust."

Separately, Ohio's AI in Education Coalition is working to develop a comprehensive strategy to ensure that the state's K-12 education system, encompassing the years of formal schooling from kindergarten through 12th grade in high school, is prepared for and can help lead the AI revolution. "AI technology is here to stay," then lieutenant governor Jon Husted said last year while announcing an AI toolkit for Ohio's K-12 school districts that he added would ensure the state "is a leader in responding to the challenges and opportunities made possible by artificial intelligence."

An anonymous reader quotes a report from TechCrunch: Apple is launching what it calls the Foundation Models framework, which the company says will let developers tap into its AI models in an offline, on-device fashion. Onstage at WWDC 2025 on Monday, Apple VP of software engineering Craig Federighi said that the Foundation Models framework will let apps use on-device AI models created by Apple to drive experiences. These models ship as a part of Apple Intelligence, Apple's family of models that power a number of iOS features and capabilities.

"For example, if you're getting ready for an exam, an app like Kahoot can create a personalized quiz from your notes to make studying more engaging," Federighi said. "And because it happens using on-device models, this happens without cloud API costs [] We couldn't be more excited about how developers can build on Apple intelligence to bring you new experiences that are smart, available when you're offline, and that protect your privacy."

In a blog post, Apple says that the Foundation Models framework has native support for Swift, Apple's programming language for building apps for its various platforms. The company claims developers can access Apple Intelligence models with as few as three lines of code. Guided generation, tool calling, and more are all built into the Foundation Models framework, according to Apple. Automattic is already using the framework in its Day One journaling app, Apple says, while mapping app AllTrails is tapping the framework to recommend different hiking routes.

According to Bloomberg, several major Chinese AI companies, including Alibaba, ByteDance, and Tencent, have temporarily disabled certain chatbot features during the gaokao college entrance exams to prevent cheating. "Popular AI apps, including Alibaba's Qwen and ByteDance's Doubao, have stopped picture recognition features from responding to questions about test papers, while Tencent's Yuanbao, Moonshot's Kimi have suspended photo-recognition services entirely during exam hours," adds The Verge. From the report: The rigorous multi-day "gaokao" exams are sat by more than 13.3 million Chinese students between June 7-10th, each fighting to secure one of the limited spots at universities across the country. Students are already banned from using devices like phones and laptops during the hours-long tests, so the disabling of AI chatbots serves as an additional safety net to prevent cheating during exam season.

When asked to explain the suspension, Bloomberg reports the Yuanbao and Kimi chatbots responded that functions had been disabled "to ensure the fairness of the college entrance examinations." Similarly, the DeepSeek AI tool that went viral earlier this year is also blocking its service during specific hours "to ensure fairness in the college entrance examination,"according to The Guardian. The Guardian notes that the news is being driven by students on the Chinese social media platform Weibo. "The gaokao entrance exam incites fierce competition as it's the only means to secure a college placement in China, driving concerns that students may try to improve their chances with AI tools," notes The Verge.