alternative_right shares a report from Phys.org: Astronomers have an answer for a long-running mystery in astrophysics: why is the growth of supermassive black holes so much lower today than in the past? A study using NASA's Chandra X-ray Observatory and other X-ray telescopes found that supermassive black holes are unable to consume material as rapidly as they did in the distant past. The results appeared in the December 2025 issue of The Astrophysical Journal.

[...] The team ran tests of the three main possible scenarios currently being considered for the slowdown of black hole growth. These options were: could the decline in black hole growth be caused by less efficient rates of consumption, or by smaller typical black hole masses, or by fewer actively growing black holes? Their analysis of the data, extending over billions of years of cosmic history, led them to the conclusion that black holes are indeed consuming material less rapidly the later they are found after the Big Bang. The researchers expect this trend of slower-growing black holes to continue into the future.

CNN looks at "the Magic AI fitness mirror," a new product "watching you, and giving you feedback automatically," while sometimes playing footage of a recorded personal trainer.

Long-time Slashdot reader destinyland describes CNN's video report: CNN says the device "tracks form, counts reps, and corrects technique in real-time — and it doesn't go easy on you." (Although the company's CEO/cofounder, Varun Bhanot, says "we're not trying to completely replace personal trainers. What we are providing is a more accessible alternative.")

CNN call the company "more a computer-vision firm than a fitness company, building the tech for this mirror from the ground up." CEO Bhanot tells CNN he'd hired a personal trainer in his 20s to get fit, but "Going through that journey, I realized how old-fashioned personal training was. Dumbbells were still dumb. There was no data or augmentation for the whole process!"

"The AI fitness and wellness market is already huge — and it's growing," CNN adds. "In 2025 the global market was worth $11 billion, according to [market research firm] Insightace Analytic. By 2035, this market is expected to reach just shy of $58 billion. And Magic AI is far from alone. Form, Total, Speediance, and Echelon, to name a few, are all brands vying for a slice of this market.
Even the most purely physical of activities — exercising your body — now gets "enhanced" with AI accessories...

Slashdot reader BrianFagioli writes: According to the research firm Gartner, 50% of U.S. consumers say they would prefer to do business with brands that avoid using GenAI in consumer facing content such as advertising and promotional messaging. The survey of 1,539 Americans, conducted in October 2025, also found growing skepticism about the reliability of online information, with 61% saying they frequently question whether information they use for everyday decisions is trustworthy... Gartner found that 68% of consumers often wonder whether the content they see online is real, while fewer people now rely on intuition alone to judge credibility [only 27%]. Instead, more consumers are actively verifying information and checking sources.
Gartner's senior principal analyst offered suggests discretion for brands trying to use AI. "The brands that win will be the ones that use AI in ways customers can immediately recognize as helpful, while being transparent about when AI is used, what it's doing, and giving customers a clear choice to opt out."

Walmart has secured patents for systems that use machine learning to forecast demand and automate pricing decisions, "pushing the U.S. retail behemoth into a debate over the use of algorithms to adjust product costs," reports the Financial Times. From the report: In January Walmart obtained a U.S. patent for a "system and method for dynamically and automatically updating item prices" to carry out markdowns in its ecommerce unit, a rapidly growing division that generated more than $150 billion in sales last year. Last week it received another patent for using machine learning to predict demand and recommend prices for goods. [...] Walmart said that both patents were "unrelated to dynamic pricing," as the patent issued in January was specific to markdowns and last week's patent was designed for merchant teams to make decisions, not the technology.

The patent granted in January involves an "end-to-end price markdown system" for ecommerce platforms such as Walmart.com based on data including predicted demand and consumers' price sensitivity. Last week's approved patent outlines ways to forecast demand and set prices at levels that will move stock over periods such as a week, a month or a quarter. "Example categories may include, for example, a food item, outdoor equipment, clothing, housewares, toys, workout equipment, vegetables, spices," according to the filing. The "demand forecasting and price recommendation" tool envisaged in the patent would incorporate sources including purchases, prices, methods of payment and customer ID, such as a passport or driver's license number. "Dynamic pricing or anything that smells like it is playing with fire," said Matt Hamory, a grocery industry consultant at AlixPartners, who cited "the goodwill that you can lose by getting customers to think or suspect or worry even slightly that you are doing things with pricing that are to your benefit and their detriment."

sciencehabit shares a report from Science.org: In The Martian, fictional astronaut Mark Watney survives the wasteland of Mars by growing potatoes in lunar soil -- with a bit of help from human poop. The idea may not be so far-fetched. In a preprint posted this month on bioRxiv, researchers show potatoes can indeed grow in the equivalent of Moon dust, though they need a lot of help from compost found on Earth. To make the discovery, scientists first had to re-create lunar regolith -- the loose, powdery layer that blankets the Moon's surface. To replicate that in the lab, David Handy, a space biologist at Oregon State University (OSU), and his colleagues used a mix of crushed minerals and volcanic ash that matched the chemistry of the Moon.

But lunar regolith is entirely devoid of the organic matter that plants need to grow. "Turning an inorganic, inhospitable bucket of glorified sand into something that can support plant growth is complex," says Anna-Lisa Paul, a plant molecular biologist at the University of Florida not involved with the work. So Handy and his colleagues added vermicompost -- organic waste from worms -- into the regolith. They found that a mix with 5% compost allowed the potatoes to grow while still emulating the stressful conditions of the lunar environment. After almost 2 months of growth, the team harvested the tubers, freeze-dried them, and ground them up for further testing.

Analysis of the potatoes' DNA showed stress-related genes had been activated. The potatoes also had higher concentrations of copper and zinc than Earth-grown ones, which may make them dangerous for human consumption. The plants' nutritional value, though, was similar to traditional potatoes -- a surprise to the scientists, who expected lower levels of nutrition "because the plants might have been working overtime to overcome certain stressors," Handy says.

Shantanu Narayen announced he will step down as CEO of Adobe once a successor is appointed, ending an 18-year tenure during which he transformed the company from boxed software to the Creative Cloud subscription model. Narayen said he will remain board chair as Adobe continues pushing into generative AI products. CNBC reports: Narayen joined Adobe in 1988 as a vice president and general manager, and he became CEO in 2007. Under Narayen, Adobe pushed from software licenses to subscriptions to its Creative Cloud application bundle, and the company is now working to expand through generative artificial intelligence. He sought to acquire fast-growing design software company Figma, but regulators pushed back, and the companies called off the deal, resulting in Adobe paying Figma a $1 billion breakup fee. [...]

Narayen, 62, is lead independent director of Pfizer in addition to his responsibilities at Adobe, where he received $51 million in total compensation for the 2025 fiscal year, according to a filing. He owns $118 million in Adobe shares, according to FactSet. [...] On Narayen's watch, Adobe's stock jumped more than sixfold, while the S&P 500 is up about 350% over that stretch. "What attracted me to Adobe 28 years ago was our leadership in creating new market categories, world-class products, a relentless desire to innovate in every functional area of the company and the people I met during the interview process," Narayen wrote. "We have continued to create new markets, deliver world-class products, drive innovation in everything we do and attract and retain the best and brightest employees."

An anonymous reader quotes a report from Bloomberg: Chinese authorities moved to restrict state-run enterprises and government agencies from running OpenClaw AI apps on office computers, acting swiftly to defuse potential security risks after companies and consumers across China began experimenting with the agentic AI phenomenon. Government agencies and state-owned enterprises, including the largest banks, have received notices in recent days warning them against installing OpenClaw software on office devices for security reasons [...]. Several of them were instructed to notify superiors if they had already installed related apps for security checks and possible removal, some of the people said.

Certain employees, including those at state-run banks and some government agencies, were banned from installing OpenClaw on office computers and also personal phones using the company's network, some of the people said. One person said the ban was also extended to the families of military personnel. Other notices stopped short of calling for an outright ban on OpenClaw software, saying only that prior approval is needed before use, the people said. The warning underscores Beijing's growing concern about OpenClaw, an agentic AI platform that requires unusually broad access to private data and can communicate externally, potentially exposing computers to external attack. [...]

Despite the potential security risks, companies from Tencent to JD.com Inc. have been rolling out OpenClaw apps to try and capitalize on the groundswell of enthusiasm, while several local government agencies have declared millions of yuan in subsidies for companies that develop atop the platform. [...] Tech giants like Tencent and Alibaba, along with AI upstarts ranging from Moonshot to MiniMax, have rolled out their own tweaks of the software touting simple, one-click adoption. A slew of government agencies, in cities from Shenzhen to Wuxi, have issued notices offering multimillion-yuan subsidies to startups leveraging OpenClaw to make advances. The frenzy has helped drive up shares of AI model developer MiniMax nearly 640% since its listing just two months ago. It's now worth about $49 billion, surpassing Baidu -- once viewed as the frontrunner in Chinese AI development -- in market value. The company launched MaxClaw, an agent built on OpenClaw, in late February.

sziring shares a report from Business Insider: Silicon Valley has long competed for talent with ever-richer pay packages built around salary, bonus, and equity. Now, a fourth line item is creeping into the mix: AI inference. As generative AI tools become embedded in software development, the cost of running the underlying models -- known as inference -- is emerging as a productivity driver and a budget line that finance chiefs can't ignore.

Software engineers and AI researchers inside tech companies have already been jousting for access to GPUs, with this AI compute capacity being carefully parceled out based on which projects are most important. Now, some tech job candidates have begun asking about what AI compute budget they will have access to if they decide to join.

"I am increasingly asked during candidate interviews how much dedicated inference compute they will have to build with Codex," Thibault Sottiaux, engineering lead at OpenAI's Codex, the startup's AI coding service, wrote on X recently. He added that usage per user is growing much faster than overall user growth, a sign that AI compute is becoming even scarcer and more valuable. That scarcity is reshaping how engineers think about their work and pay. "The inference compute available to you is increasingly going to drive overall software productivity," said OpenAI President Greg Brockman.

The report cites a recent compensation submission from a software engineer that listed "Copilot subscription" as part of the pay and benefits. "OpenAI and Anthropic should create recruitment sites where their clients can advertise roles, listing the token budget for the job alongside the salary range," said Peter Gostev, AI capability lead at Arena, a startup that measures the performance of models.

Tomasz Tunguz of Theory Ventures predicts AI inference will be the fourth component of engineering compensation, alongside salary, bonus, and equity. "Will you be paid in tokens? In 2026, you likely will start to be," Tunguz said.

An anonymous reader quotes a report from KrebsOnSecurity: AI-based assistants or "agents" -- autonomous programs that have access to the user's computer, files, online services and can automate virtually any task -- are growing in popularity with developers and IT workers. But as so many eyebrow-raising headlines over the past few weeks have shown, these powerful and assertive new tools are rapidly shifting the security priorities for organizations, while blurring the lines between data and code, trusted co-worker and insider threat, ninja hacker and novice code jockey.

The new hotness in AI-based assistants -- OpenClaw (formerly known as ClawdBot and Moltbot) -- has seen rapid adoption since its release in November 2025. OpenClaw is an open-source autonomous AI agent designed to run locally on your computer and proactively take actions on your behalf without needing to be prompted. If that sounds like a risky proposition or a dare, consider that OpenClaw is most useful when it has complete access to your entire digital life, where it can then manage your inbox and calendar, execute programs and tools, browse the Internet for information, and integrate with chat apps like Discord, Signal, Teams or WhatsApp.

Other more established AI assistants like Anthropic's Claude and Microsoft's Copilot also can do these things, but OpenClaw isn't just a passive digital butler waiting for commands. Rather, it's designed to take the initiative on your behalf based on what it knows about your life and its understanding of what you want done. "The testimonials are remarkable," the AI security firm Snyk observed. "Developers building websites from their phones while putting babies to sleep; users running entire companies through a lobster-themed AI; engineers who've set up autonomous code loops that fix tests, capture errors through webhooks, and open pull requests, all while they're away from their desks." You can probably already see how this experimental technology could go sideways in a hurry. [...] Last month, Meta AI safety director Summer Yue said OpenClaw unexpectedly started mass-deleting messages in her email inbox, despite instructions to confirm those actions first. She wrote: "Nothing humbles you like telling your OpenClaw 'confirm before acting' and watching it speedrun deleting your inbox. I couldn't stop it from my phone. I had to RUN to my Mac mini like I was defusing a bomb."

Krebs also noted the many misconfigured OpenClaw installations users had set up, leaving their administrative dashboards publicly accessible online. According to pentester Jamieson O'Reilly, "a cursory search revealed hundreds of such servers exposed online." When those exposed interfaces are accessed, attackers can retrieve the agent's configuration and sensitive credentials. O'Reilly warned attackers could access "every credential the agent uses -- from API keys and bot tokens to OAuth secrets and signing keys."

"You can pull the full conversation history across every integrated platform, meaning months of private messages and file attachments, everything the agent has seen," O'Reilly added. And because you control the agent's perception layer, you can manipulate what the human sees. Filter out certain messages. Modify responses before they're displayed."

Bluesky CEO Jay Graber is stepping down after overseeing the platform's growth from a Twitter research project into a 40-million-user alternative to X. "As Bluesky matures, the company needs a seasoned operator focused on scaling and execution, while I return to what I do best: building new things," Graber wrote in a statement.

She will be transitioning to a new Chief Innovation Officer role while Venture capitalist Toni Schneider will serve as interim CEO until the board searches for a permanent replacement. Wired reports: Graber joined Bluesky in 2019, when it was a research project within Twitter focused on developing a decentralized framework for the social web. She became the company's first chief executive officer in 2021, when it spun out into an independent entity. She oversaw the platform's remarkable rise and the growing pains it experienced as it transformed from a quirky Twitter offshoot to a full-fledged alternative to X. Schneider tells WIRED that he intends to help Bluesky "become not just the best open social app, but the foundation for a whole new generation of user-owned networks."

Schneider, who will continue working as a partner at the venture capital firm True Ventures while at Bluesky, was previously CEO of the Wordpress parent company, Automattic, from 2006 to 2014. He also served as its CEO again in 2024 while top executive Matt Mullenweg went on a sabbatical. During that time, Schneider met Graber and became an adviser to Bluesky's leadership. In a blog post announcing his new role, Schneider said he plans to emphasize scaling, describing his job as "to help set up Bluesky's next phase of growth."

This isn't the end for Graber and Bluesky. She will transition to become the company's chief innovation officer, a role focused on Bluesky's technology stack rather than its business operations. The position was created for her. Graber, who began her career as a software engineer, has always sounded the most enthusiastic when discussing Bluesky's technology rather than its revenue streams. Bluesky's board of directors will appoint the next permanent CEO. The members include Jabber founder Jeremie Miller, crypto-focused VC Kinjal Shah, TechDirt founder Mike Masnick, and Graber. (Twitter founder Jack Dorsey was originally part of the board but quit in 2024.) This means Graber will have input on her successor. The talent search is still in early stages.

When Block cut 4,000 jobs — nearly half its workforce — co-founder Jack Dorsey "pointed to AI as the culprit," writes Entrepreneur magazine. "Dorsey claimed that AI tools now allow fewer employees to accomplish the same work."

"But analysts see a different explanation: poor management." Block more than tripled its employee base between 2019 and 2022, growing from 3,835 to 12,430 workers. The company's stock had fallen 40% since early 2025, creating pressure to cut costs. "This is more about the business being bloated for so long than it is about AI," Zachary Gunn, a Financial Technology Partners analyst, told Bloomberg.

The phenomenon has earned a nickname: "AI-washing," where companies use artificial intelligence as cover for traditional cost-cutting. Goldman Sachs economists estimate that AI is eliminating only 5,000 to 10,000 jobs per month across all U.S. sectors, hardly enough to justify Block's massive cuts.
"European Central Bank President Christine Lagarde told lawmakers in Brussels last week that ECB economists are monitoring for signs that AI is causing job losses," reports Bloomberg, "and are 'not yet seeing' the 'waves of redundancies that are feared'..." And "a recent survey of global executives published in the Harvard Business Review found that while AI has been cited as the reason for some layoffs, those cuts are almost entirely anticipatory: executives expect big efficiency gains that have not yet been realized."

Even a former senior Block executive "is questioning whether AI is truly the reason behind the cuts," writes Inc.: In a recent opinion piece for The New York Times, Aaron Zamost, Block's former head of communications, policy, and people, asked whether the layoffs reflect a genuine "new reality in which the work they do might no longer be viable," or whether artificial intelligence is "just a convenient and flashy new cover for typical corporate downsizing." Zamost acknowledged that the answer is unclear and perhaps unknowable, even within Block itself...

Looking more closely at the layoffs, Zamost argued that the specific roles affected suggest more traditional corporate cost-cutting than a sweeping AI transformation... Many of the responsibilities being eliminated, he argued, rely on distinctly human skills that AI systems still cannot replicate. "A chatbot can't meet with the mayor, cast commercial actors, or negotiate with the Securities and Exchange Commission," Zamost wrote. "Not all the roles I've heard that Block is eliminating can be handled by AI, yet executives are treating it as equally useful today to all disciplines."

Ultimately, Zamost suggested that the sincerity of companies' AI explanations may not really matter. "It matters less whether a company knows how to deploy AI and more whether investors believe it is on track to do so," he wrote.
Indeed, whatever the rationale for Dorsey's statement, " Wall Street didn't seem to mind..." Entrepreneur magazine — since Block's stock shot up 15% after the announcement.

An anonymous reader quotes a report from TechCrunch: One day not long ago, a founder texted his investor with an update: he was replacing his entire customer service team with Claude Code, an AI tool that can write and deploy software on its own. To Lex Zhao, an investor at One Way Ventures, the message indicated something bigger -- the moment when companies like Salesforce stopped being the automatic default. "The barriers to entry for creating software are so low now thanks to coding agents, that the build versus buy decision is shifting toward build in so many cases," Zhao told TechCrunch.

The build versus buy shift is only part of the problem. The whole idea of using AI agents instead of people to perform work throws into question the SaaS business model itself. SaaS companies currently price their software per seat -- meaning by how many employees log in to use it. "SaaS has long been regarded as one of the most attractive business models due to its highly predictable recurring revenue, immense scalability, and 70-90% gross margins," Abdul Abdirahman, an investor at the venture firm F-Prime, told TechCrunch. When one, or a handful, of AI agents can do that work -- when employees simply ask their AI of choice to pull the data from the system -- that per-seat model starts to break down.

The rapid pace of AI development also means that new tools, like Claude Code or OpenAI's Codex, can replicate not just the core functions of SaaS products but also the add-on tools a SaaS vendor would sell to grow revenue from existing customers. On top of that, customers now have the ultimate contract negotiation tool in their pockets: If they don't like a SaaS vendor's prices, they can, more easily than ever before, build their own alternative. "Even if they do not take the build route, this creates downward pressure on contracts that SaaS vendors can secure during renewals," Abdirahman continued.

We saw this as early as late 2024, when Klarna announced that it had ditched Salesforce's flagship CRM product in favor of its own homegrown AI system. The realization that a growing number of other companies can do the same is spooking public markets, where the stock prices of SaaS giants like Salesforce and Workday have been sliding. In early February, an investor sell-off wiped nearly $1 trillion in market value from software and services stocks, followed by another billion later in the month. Experts are calling it the SaaSpocalypse, with one analyst dubbing it FOBO investing -- or fear of becoming obsolete. Yet the venture investors TechCrunch spoke with believe such fears are only temporary. "This isn't the death of SaaS," Aaron Holiday, a managing partner at 645 Ventures, told TechCrunch. Rather, it's the beginning of an old snake shedding its skin, he said.

If U.S. automakers turn their backs on electric vehicles, "their sales outside the U.S. will shrivel," warns Bloomberg. [Alternate URL.] They're already falling behind on the technology, relying on a 100% U.S. tariff on Chinese EVs to keep surging rivals like BYD Co. at bay.... While the American automakers "mostly understand the challenge in front of them, they don't have full plans" to confront it [said Mark Wakefield, head of the global automotive practice at consultant AlixPartners]...

"Now is a great time for the V-8 engine," said Ryan Shaughnessy, the Mustang's brand manager. "We've done extensive customer research in multiple cities, looking at a variety of powertrains, and the V-8 is always the number-one choice." It isn't just customers. U.S. automakers have long been run by "car guys:" enthusiasts who live for the bone-shaking rumble of a big engine. For them, quiet and smooth EVs — even the absurdly fast ones — can't satisfy that craving. They're convinced many American car buyers share the same enthusiasm for what Shaughnessy described as "the sound and roar of the V-8."

Wall Street couldn't be happier with the new direction... Ford's fortunes are also on the rise, as it's predicting operating profits could grow by as much as 47% this year to $10 billion. Ford's stock has risen nearly 50% over the last 12 months. Under the previous environmental rules, automakers effectively had to sell zero-emission vehicles in growing numbers to offset their gas-guzzlers. When they fell short, they had to buy regulatory credits from EV companies such as Tesla Inc. or face penalties. GM spent $3.5 billion on credits from 2022 to the middle of 2025. Now, according to JPMorgan Chase & Co. analyst Ryan Brinkman, GM and Ford each have "billion dollar tailwinds"...

[T]he hangover from all that new horsepower could leave US automakers lagging their Chinese rivals who already build the world's most advanced — and lowest priced — electric cars. Indeed, there is much talk in Detroit about the competitive tsunami that will be unleashed on American automakers once Chinese car companies find a way to break through trade barriers now protecting the US market. [Ford Chief Executive Officer Jim] Farley even calls it an "existential threat"... "They're going to build as many V-8 engines and big trucks as they can get out the factory doors," said Sam Fiorani, vice president of vehicle forecasting for consultant Auto Forecast Solutions. "And as the rest of the world develops modern drivetrains, newer batteries and better electric vehicles, GM and Ford in particular are going to find themselves falling even further behind."
The article notes GM "continues to develop battery-powered vehicles, and CEO Mary Barra said the automaker would begin offering a 'handful' of hybrids soon," while Ford and Stellantis "have plans to launch extended-range electric vehicles, or EREVs, a new kind of plug-in hybrid with an internal combustion engine that recharges the battery as the vehicle drives down the road." But while automakers may be investing in future EV vehicles, they're also "leaning into the lucre that comes from selling millions of fossil-fuel vehicles in a rare moment of loosened regulation."

"Podcasts have officially overtaken AM/FM talk radio as the more popular medium for spoken-word audio in the United States," reports TechCrunch, citing Edison Research's Share of Ear survey: The researchers have tracked these statistics over the last decade, and almost always, the percentage of time people spent listening to podcasts increased, while their time with spoken radio broadcasts decreased. For the first time this year, podcasts eclipsed spoken-word radio with 40% of listening time, as opposed to 39% for radio...

We checked with Edison to see if these statistics include video podcasts, and they do. But the need to clarify that question points to the undeniable growing prevalence of video podcasts, hosted on platforms like Spotify and YouTube, which marks another key trend in podcasting... YouTube said that viewers watched 700 million hours of podcasts each month in 2025 on living room devices, like TVs, up from 400 million the previous year.

"Billions fewer birds are flying through North American skies than decades ago," reports the Associated Press, "and their population is shrinking ever faster, mostly due to a combination of intensive agriculture and warming temperatures, a new study found." Nearly half of the 261 species studied showed big enough losses in numbers to be statistically significant and more than half of those declining are seeing their losses accelerate since 1987, according to Thursday's journal Science... The only consolation is that the birds that are shrinking in numbers the fastest are species — such as the European starling, American crow, grackle and house sparrow — with large enough populations that they aren't yet at risk of going extinct, said study lead author Francois Leroy, also an Ohio State ecologist...

When it came to population declines — not the acceleration — the scientists noticed bigger losses further south. When they did a deeper analysis they statistically connected those losses to warmer temperatures from human-caused climate change. "In regions where temperatures increase the most, we are seeing strongest declines in populations," [said study co-author Marta Jarzyna, an ecologist at Ohio State University]. "On the other hand, the acceleration of those declines, that's mostly driven by agricultural practices." The scientists found statistical correlations between speeded-up decline rates and high fertilizer use, high pesticide use and amount of cropland, Leroy said. He said they couldn't say any of those caused the acceleration of losses, but it indicates agriculture in general is a factor. "The stronger the agriculture, the faster we will lose birds," said Leroy...

McGill University wildlife biologist David Bird, who wasn't part of the study, said it was done well and that its conclusions made sense. With a growing human population, agriculture practices are intensified, more bird habitats are being converted to cropland, modern machinery often grind up nests and eggs and single crop plantings offer less possibilities for birds to find food and nests, said Bird, the editor of Birds of Canada. "The biggest impact of agricultural intensity though is our war on insects. Numerous recent studies have shown that insect populations in many places throughout the world, including the U.S., have crashed by well over 40 percent," Bird said in an email. "Many of the birds in this new study showing population declines depend heavily on insects for food."
A 2019 study of the same bird species by Cornell University conservation scientist Kenneth Rosenberg also found that North America had 3 billion fewer birds than in 1970, the article points out.

OpenAI CEO Sam Altman is pushing back on growing concerns about AI's environmental footprint, dismissing claims about ChatGPT's water consumption as "totally fake" and arguing that the fairer way to measure AI's energy use is to compare it against humans.

In an interview with Indian Express, Altman acknowledged that evaporative cooling in data centers once made water usage a real concern but said that is no longer the case, calling internet claims of 17 gallons of water per query "completely untrue, totally insane, no connection to reality."

On energy, he conceded it is "fair" to worry about total consumption given how heavily the world now relies on AI, and called for a rapid shift toward nuclear, wind and solar power. He took particular issue with comparisons that pit the cost of training a model against a single human inference, noting it "takes like 20 years of life and all of the food you eat" before a person gets smart -- and that on a per-query basis, AI has "probably already caught up on an energy efficiency basis."

"A surprisingly ravenous black hole from the dawn of the universe is breaking two big rules," reports Live Science. "It's not only exceeding the 'speed limit' of black hole growth but also generating extreme X-ray and radio wave emissions — two features that are not predicted to coexist..."

"How is this rule-breaking behavior even possible? In a paper published Jan. 21 in The Astrophysical Journal, an international team of researchers observed ID830 in multiple wavelengths to find an answer...." As they attract gas and dust, this material accumulates in a swirling accretion disk. Gravity pulls the material from the disk into the black hole, but the infalling material generates radiation pressure that pushes outward and prevents more stuff from falling in. As a result, black holes are muzzled by a self-regulating process called the Eddington limit... Its X-ray brightness suggests that ID830 is accreting mass at about 13 times the Eddington limit, due to a sudden burst of inflowing gas that may have occurred as ID830 shredded and engulfed a celestial body that wandered too close. "For a supermassive black hole (SMBH) as massive as ID830, this would require not a normal (main-sequence) star, but a more massive giant star or a huge gas cloud," study co-author Sakiko Obuchi, an observational astronomer at Waseda University in Tokyo, told Live Science via email. Such super-Eddington phases may be incredibly brief, as "this transitional phase is expected to last for roughly 300 years," Obuchi added.

ID830 also simultaneously displays radio and X-ray emissions. These two features are not expected to coexist, especially because super-Eddington accretion is thought to suppress such emissions. "This unexpected combination hints at physical mechanisms not yet fully captured by current models of extreme accretion and jet launching," the researchers said in a statement. So while ID830 is launching massive radio jets, its X-ray emissions appear to originate from a structure called a corona, produced as intense magnetic fields from the accretion disk create a thin but turbulent billion-degree cloud of turbocharged particles. These particles orbit the black hole at nearly the speed of light, in what NASA calls "one of the most extreme physical environments in the universe." Altogether, ID830's rule-breaking behaviors suggest that it is in a rare transitional phase of excessive consumption — and excretion. This incredible feeding burst has energized both its jets and its corona, making ID830 shine brightly across multiple wavelengths as it spews out excess radiation.

Additionally, based on UV-brightness analysis, quasars like ID830 may be unexpectedly common, the researchers said. Models predict that only around 10% of quasars have spectacular radio jets, but these energetic objects could be significantly more abundant in the early universe than previously suggested. Most importantly, ID830 also shows how SMBHs can regulate galaxy growth in the early universe. As a black hole gobbles matter at the super-Eddington limit, the energy from its resultant emissions can heat and disperse matter throughout the interstellar medium — the gas between stars — to suppress star formation. As a result, ancient SMBHs like ID830 may have grown massive at the expense of their host galaxies.

Google and Microsoft contributed $5 million to launch Alpha-Omega in 2022 — a Linux Foundation project to help secure the open source supply chain. But its co-founder Michael Winser warns that open source registries are in financial peril, reports The Register, since they're still relying on non-continuous funding from grants and donations.

And it's not just because bandwidth is expensive, he said at this year's FOSDEM. "The problem is they don't have enough money to spend on the very security features that we all desperately need..." In a follow-up LinkedIn exchange after this article had posted, Winser estimated it could cost $5 million to $8 million a year to run a major registry the size of Crates.io, which gets about 125 billion downloads a year. And this number wouldn't include any substantial bandwidth and infrastructure donations (Like Fastly's for Crates.io). Adding to that bill is the growing cost of identifying malware, the proliferation of which has been amplified through the use of AI and scripts. These repositories have detected 845,000 malware packages from 2019 to January 2025 (the vast majority of those nasty packages came to npm)...

In some cases benevolent parties can cover [bandwidth] bills: Python's PyPI registry bandwidth needs for shipping copies of its 700,000+ packages (amounting to 747PB annually at a sustained rate of 189 Gbps) are underwritten by Fastly, for instance. Otherwise, the project would have to pony up about $1.8 million a month. Yet the costs Winser was most concerned about are not bandwidth or hosting; they are the security features needed to ensure the integrity of containers and packages. Alpha-Omega underwrites a "distressingly" large amount of security work around registries, he said. It's distressing because if Alpha-Omega itself were to miss a funding round, a lot of registries would be screwed. Alpha-Omega's recipients include the Python Software Foundation, Rust Foundation, Eclipse Foundation, OpenJS Foundation for Node.js and jQuery, and Ruby Central.

Donations and memberships certainly help defray costs. Volunteers do a lot of what otherwise would be very expensive work. And there are grants about...Winser did not offer a solution, though he suggested the key is to convince the corporate bean counters to consider paid registries as "a normal cost of doing business and have it show up in their opex as opposed to their [open source program office] donation budget."
The dilemma was summed up succinctly by the anonymous Slashdot reader who submitted this story.

"Free beer is great. Securing the keg costs money!"

An anonymous reader shares a report: Amazon has officially dethroned Walmart as the biggest global company by revenue, a milestone attesting to the massive scale the e-commerce and cloud-computing giant has achieved since its humble beginnings in 1994 as an online bookseller in Jeff Bezos' Seattle-area garage.

Walmart, which had been the largest company by revenue for more than a decade, on Thursday reported sales of $713.2 billion for the 12 months ending Jan. 31. Amazon, which operates on a fiscal year ending in December, earlier this month reported 2025 sales of $717 billion.

Bezos carefully studied Walmart founder Sam Walton, embracing many of his business strategies while building his company. Over the past decade, Amazon's revenue has increased at almost 10 times the pace of Walmart's, fueled by a shift in consumer spending from stores to websites and its rapidly growing cloud-computing business, Amazon Web Services.

Google is bringing its Lyria 3 AI music model into the Gemini app, allowing users to generate 30-second songs from text, images, or video prompts directly within the chatbot. The Verge reports: Lyria 3's text-to-music capabilities allow Gemini app users to make songs by describing specific genres, moods, or memories, such as asking for an "Afrobeat track for my mother about the great times we had growing up." The music generator can make instrumental audio and songs with lyrics composed automatically based on user prompts. Users can also upload photographs and video references, which Gemini then uses to generate a track with lyrics that fit the vibe.

"The goal of these tracks isn't to create a musical masterpiece, but rather to give you a fun, unique way to express yourself," Google said in its announcement blog. Gemini will add custom cover art generated by Nano Banana to songs created on the app, which aims to make them easier to share and download. Google is also bringing Lyria 3 to YouTube's Dream Track tool, which allows creators to make custom AI soundtracks for Shorts.

Dream Track and Lyria were initially demonstrated with the ability to mimic the style and voice of famous performers. Google says it's been "very mindful" of copyright in the development of Lyria 3 and that the tool "is designed for original expression, not for mimicking existing artists." When prompted for a specific artist, Gemini will make a track that "shares a similar style or mood" and uses filters to check outputs against existing content.