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.

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A mathematician on Reddit calculated that if all 8.2 billion humans were blended into a uniform goo, the resulting meatball would form a sphere just under 1 kilometer wide -- small enough to fit inside Central Park. ScienceAlert reports: "If you blended all 7.88 billion people on Earth into a fine goo (density of a human = 985 kg/m3, average human body mass = 62 kg), you would end up with a sphere of human goo just under 1 km wide," Reddit contributor kiki2703 wrote in a post ... Reasoning the density of a minced human to be 985 kilograms per cubic meter (62 pounds per cubic foot) is a fair estimate, given past efforts have judged our jiggling sack of grade-A giblets to average out in the ballpark of 1 gram per cubic centimeter, or roughly the same as water. And in mid-2021, the global population was just around 7.9 billion, give or take.

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Our anonymous submitter, whom we'll call Carmen, embarked on her IT career with an up-and-coming firm that developed and managed eCommerce websites for their clients. After her new boss Russell walked her around the small office and introduced her to a handful of coworkers, he led her back to his desk to discuss her first project. Carmen brought her laptop along and sat down across from Russell, poised to take notes.

Russell explained that their newest client, Sharon, taught CPR classes. She wanted her customers to be able to pay and sign up for classes online. She also wanted the ability to charge customers a fee in case they cancelled on her.

"You're gonna build a static site to handle all this," he said.

Carmen nodded along as she typed out notes in a text file.

"Now, Sharon doesn't want to pay more than a few hundred dollars for the site," Russell continued, "so we're not gonna hook up an endpoint to use a service-provided API for payments."

Carmen glanced up from her laptop, perplexed. "How are we gonna do it, then?"

"Via email," Russell replied smoothly. "The customer will enter their CC info into basic form fields. When they click Submit, you're gonna send all that to Sharon's business address, and also CC it to yourself for backup and recovery purposes."

Carmen's jaw dropped. "Just ... straight-up email raw credit card data?"

"Yep!" Russell replied. "Sharon knows to expect the emails."

Her heart racing with panic, Carmen desperately cast about for some way for this to be less awful. "Couldn't ... couldn't we at least encrypt the CC info before we send it to her?"

"She's not paying us for that," Russell dismissed. "This'll be easier to implement, anyway! You can handle it, can't you?"

"Yyyes—"

"Great! Go get started, let me know if you have any more questions."

Carmen had plenty of questions and even more misgivings, but she'd clearly be wasting her time if she tried to bring them up. There was no higher boss to appeal to, no coworkers she knew well enough who could slip an alternate suggestion into Russell's ear on her behalf. She had no choice but to swallow her good intentions and implement it exactly the way Russell wanted it. Carmen set up the copied emails to forward automatically to a special folder so that she'd never have to look at them. She cringed every time a new one came in, reflecting on how lucky Sharon and her customers were that the woman supporting her website had a conscience.

And then one day, a thought came to Carmen that really scared her: in how many places, in how many unbelievable ways, was her sensitive data being treated like this?

Eventually, Carmen moved on to bigger and better things. Her first project most likely rests in the hands of Russell's newest hire. We can only hope it's an honest hire.

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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.

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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.

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Michael Larabel of Phoronix highlights the key updates in today's stable release of FreeBSD 14.3: FreeBSD 14.3 has back-ported a number of improvements from FreeBSD 15 back to the FreeBSD 14 series. Plus a number of routine package updates and other fixes. Some of the FreeBSD 14.3-RELEASE highlights include: - Updating the ZFS support against OpenZFS 2.2.7. - Merging of the Realtek RTW88 and RTW89 WiFi drivers based on the Linux 6.14 kernel code. - The LinuxKPI code has been improved to support crypto offload as well as the 802.11n and 802.11ac standards. - The Intel IX Ethernet driver has added support for the x550 1000BAS-BX SFP modules. - Thor2 PCI IDs added to the Broadcom NetXtreme "BNXT" driver along with support for 400G speed modules. - XZ 5.8.1, OpenSSH 9.9p2, OpenSSL 3.0.16, and many other package updates. - Syscons as the legacy system console driver is now considered deprecated. Syscons is not compatible with UEFI, lacks UTF-8 support, and is Giant-locked. You can download and learn more about FreeBSD 14.3 via FreeBSD.org.

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"Twelve years ago, a baby was born after someone used bitcoin to pay for a frozen egg IVF," writes longtime Slashdot reader bobdevine. "I, for one, welcome..." Blockworks tells the story of how it all came to be: In February 2012 -- almost two years after Laszlo's pizzas -- a fertility doctor named C. Terence Lee set about a personal and professional quest to onboard his patients to Bitcoin by accepting BTC for his services. He started with a "Bitcoin accepted here" sign in his window, and then a Reddit post. "Jumping in to do my part to support the BTC economy. This may be a historic first?" Lee wrote in a post on the BitMarket subreddit, titled: "[WTS][USA] Male Fertility Evaluation." Lee was offering a 15-minute consultation to discuss fertility questions and a sperm analysis in exchange for 15 BTC, valued at $70 or so at the time. "Actual value over $100," he wrote. Within three months, he'd found a Bitcoin customer. "The patient turned out not... so much having a burning desire to know about his fertility, but he was a Bitcoin enthusiast, and he liked the idea of participating in history, in this ritual ceremony of what could be perhaps the world's first Bitcoin medical transaction," Lee explained at a 2013 conference in San Jose. "So we chatted about Bitcoin. He taught me a lot about mining. That's how he acquired bitcoin. And we did a sperm test, and it turned out he had really good sperm ... after it was done he sent me 15 bitcoins... " Lee changed up his strategy to only quiz his most trusted patients. There was one couple, who, on their fourth attempt at IVF, agreed to pay in bitcoin for a 50% discount, with Lee walking them through exchanging U.S. dollars for bitcoin via CryptoXChange, a now-defunct exchange operating out of Australia. The sperm stuck, leading CNN to reveal, on this day in 2013, "the world's first Bitcoin baby" -- a baby bought entirely with bitcoin. Thirty bitcoin to be exact, an amount then worth $500, or $3 million today.

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"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

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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.

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Connor Jones reports via The Register: Security researchers managed to access the live feeds of 40,000 internet-connected cameras worldwide and they may have only scratched the surface of what's possible. Supporting the bulletin issued by the Department of Homeland Security (DHS) earlier this year, which warned of exposed cameras potentially being used in Chinese espionage campaigns, the team at Bitsight was able to tap into feeds of sensitive locations. The US was the most affected region, with around 14,000 of the total feeds streaming from the country, allowing access to the inside of datacenters, healthcare facilities, factories, and more. Bitsight said these feeds could potentially be used for espionage, mapping blind spots, and gleaning trade secrets, among other things. Aside from the potential national security implications, cameras were also accessed in hotels, gyms, construction sites, retail premises, and residential areas, which the researchers said could prove useful for petty criminals. Monitoring the typical patterns of activity in retail stores, for example, could inform robberies, while monitoring residences could be used for similar purposes, especially considering the privacy implications. "It should be obvious to everyone that leaving a camera exposed on the internet is a bad idea, and yet thousands of them are still accessible," said Bitsight in a report. "Some don't even require sophisticated hacking techniques or special tools to access their live footage in unintended ways. In many cases, all it takes is opening a web browser and navigating to the exposed camera's interface." HTTP-based cameras accounted for 78.5 percent of the total 40,000 sample, while RTSP feeds were comparatively less open, accounting for only 21.5 percent. To protect yourself or your company, Bitsight says you should secure your surveillance cameras by changing default passwords, disabling unnecessary remote access, updating firmware, and restricting access with VPNs or firewalls. Regularly monitoring for unusual activity also helps to prevent your footage from being exposed online.

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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.

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An anonymous reader shares a blog post from Google: Today, we're bringing you Android 16, rolling out first to supported Pixel devices with more phone brands to come later this year. This is the earliest Android has launched a major release in the last few years, which ensures you get the latest updates as soon as possible on your devices. Android 16 lays the foundation for our new Material 3 Expressive design, with features that make Android more accessible and easy to use.

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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.

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The World Bank sharply reduced its global economic growth forecast for 2025 to 2.3% from 2.7%, warning that the current decade is on track to become the weakest for the global economy since the 1960s. The Washington-based lender attributed the downgrade to mounting costs from "international discord -- about trade, in particular," as Donald Trump's tariff policies create unprecedented uncertainty. The revised forecast would mark the slowest growth rate outside full-blown recessions since 2008. Even with a modest recovery to 2.4% expected in 2026, the bank characterized the outlook as merely "tepid." Chief economist Indermit Gill said "outside of Asia, the developing world is becoming a development-free zone." Growth in developing economies has steadily declined from 6% annually in the 2000s to 5% in the 2010s, now falling below 4% in the 2020s. The bank said that "many of the forces behind the great economic miracle of the last 50 years" have reversed, with more than half of low-income countries either in debt distress or at high risk.

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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.

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A NASA-backed project using observations from the James Webb Space Telescope (JWST) has released more than 1.5 TB of data for open science, offering the largest view deep into the universe available to date. From a report: The Cosmic Evolution Survey (COSMOS), a joint project from the University of California, Santa Barbara and Rochester Institute of Technology, has launched a searchable dataset for budding astrophysics enthusiasts worldwide. As well as a catalog of galaxies, the dataset includes an interactive viewer that users can search for images of specific objects or click them to view their properties, covering approximately 0.54 square degrees of sky with the Near Infrared Camera (NIRCam) and a 0.2 square degree area with the Mid Infrared Instrument (MIRI). Although the raw data was already publicly available to the science community, the aim of the COSMOS-Web project was to make it more usable for other scientists.

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BrianFagioli writes: Ubuntu 25.10, known as Questing Quokka, is taking a big turn under the hood. Canonical has dropped support for the GNOME desktop running on Xorg. Starting with this release, the default Ubuntu session now uses Wayland only. Yes, folks, there's no longer an option to log into GNOME on Xorg.

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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.

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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."

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A group of 20 internationally renowned scientists have issued a strong warning against attempts to narrow the definition of "forever chemicals" in what they describe as a politically or economically motivated effort to weaken regulation of the potentially harmful chemicals. From a report: Per- and polyfluoroalkyl substances (Pfas) are a large group of synthetic chemicals used for their oil-, water- and stain-resistant properties in a range of consumer and industrial products from waterproof clothing and non-stick cookware to firefighting foams and electronics. Their molecular structure makes them resistant to degradation, earning them the nickname "forever chemicals." In the last few years there has been growing awareness of the problems associated with Pfas, and a push for more stringent regulation, resulting in the banning of certain forms. A group of scientists are now raising the alarm about efforts, including by some individuals and groups in the International Union of Pure and Applied Chemistry (IUpac), to narrow the current international definition of Pfas in ways that could exclude certain chemical subgroups.

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