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Agentless contact center 'not yet technically feasible, nor operationally desirable'
Good news for consumers frustrated by wading through pools of AI treacle in search of customer service - businesses are reportedly turning back to human agents "amid AI integration challenges."…
Server rig aimed at validating Europe's exascale-class silicon and software stacks
Euro chip designer SiPearl has released a reference server design featuring its Rhea1 processor, the chip that powers Jupiter, Europe's most powerful supercomputer.…
£14.2B Sizewell C among the investments along side Small Modular Reactors
The UK has bet big on nuclear power — both big and small — following a series of warnings about energy capacity and supply for datacenter investments.…
On your marks, get set... bork!
Microsoft has set a new record with June's security update for the time between release and an admission of borkage.…
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.
Read more of this story at Slashdot.
How much wishful thinking has entered the pipeline will come to light in 2027
Opinion Today, the UK chief finance minister is set to detail government spending for the next three years and capital budgets for the next four. As the first multi-year spending review since 2021, it is a big deal.…
Model Context Protocol has many fine uses, but then it hinted at becoming a Von Neumann machine
Column Generative AI is changing so rapidly, it’s hard to stay up to date, so I generally avoid the newest shiny thing until it becomes unavoidable.…
Building AMD computational cancer research super and ICL workhorse with Intel inside
Lenovo has pulled a couple of European supercomputer wins out of the bag, one using Intel chips for Imperial College London and an AMD-based system for the European Institute of Oncology.…
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.
Read more of this story at Slashdot.
The botnet’s still alive and evolving
Badbox 2.0, the botnet that infected millions of smart TV boxes and connected devices before private security researchers and law enforcement partially disrupted its infrastructure, is readying for a third round of fraud and digital attacks, according to one of the threat hunters who uncovered the original scheme.…
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.
Read more of this story at Slashdot.
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.
Read more of this story at Slashdot.
AI could bring a new round of browser wars
Mozilla is concerned that Google's efforts to build Gemini into its Chrome browser will make it even more difficult for rivals to compete with the search and ads giant.…
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.
Read more of this story at Slashdot.
"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.
Read more of this story at Slashdot.
"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
Read more of this story at Slashdot.
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.
Read more of this story at Slashdot.
Stealthy Falcon swoops on WebDAV and Redmond's even patching IE!
Patch Tuesday It's Patch Tuesday time again, and Microsoft is warning that there are a bunch of critical fixes to sort out - and two actively exploited bugs.…
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.
Read more of this story at Slashdot.
Wants to let AI do the boring bits so his team can invent more cool stuff
Cisco Live Cisco president Jeetu Patel wants the company’s engineers to halve the amount of code they write.…
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