The work combines observations of distant exploding stars and large-scale galaxy surveys to probe whether the universe truly follows a nearly 100-year-old mathematical framework known as Friedmann-Lemaitre-Robertson-Walker (FLRW) cosmology. The analyses revealed mild-but-intriguing deviations from the predictions of the standard model. “We saw a surprising violation of an FLRW curvature consistency test, hinting at new physics beyond the standard model,” study co-author Asta Heinesen, a physicist at the Niels Bohr Institute in Copenhagen and Queen Mary University in London, told Live Science via email, referring to the assumption that the space’s curvature is the same everywhere. “This could potentially be due to various effects, but more research is needed to address the cause of the FLRW violation that we see empirically.”

[…] The analyses revealed small but potentially important departures from the predictions of standard FLRW cosmology. Depending on the dataset and analysis method, the discrepancy reached a statistical significance of about 2 to 4 sigma. In physics, sigma measures how likely a result is to arise purely by chance; a 5-sigma result is typically required before scientists claim a discovery, so the new findings remain tentative. Still, the results suggest that something unexpected may be affecting the geometry or expansion of the universe. “The main finding is that you can directly measure Dyer-Roeder and backreaction effects from available cosmological data, and clearly distinguish these effects from other alterations of the standard cosmological model, such as evolving dark energy and modified gravity theories,” Heinesen said. “This was previously not possible in such a direct way, and this is what I think is the breakthrough in our work.”

“If these indicated deviations from an FLRW geometry are real, it would signify that most of the cosmological solutions considered for solving the cosmological tensions — evolving or interacting dark energy, new types of matter or energy, modified gravity and related ideas within the FLRW framework — are ruled out,” the researchers wrote. The next step will involve applying the new theoretical framework to larger and more precise datasets. “It is to apply our theoretical results to data to test the standard model and to produce constraints on the Dyer-Roeder and backreaction effects,” Heinesen said.

Joshua Achiam, OpenAI’s chief futurist, was probably the most memorable witness of the day. He told jurors about a companywide meeting where Musk answered questions about his planned departure from OpenAI in 2018. Musk told the crowd of 50 or 60 people that he was leaving OpenAI to start his own competing AI. He said he wanted to “build it very fast, because he was very worried that someone else, if they got it, would do the wrong thing with it,” Achiam said. Achaim said he challenged Musk on the safety of this approach, which he called “unsafe and reckless.” “How did Musk respond,” OpenAI’s lawyer Randall Jackson asked. “Defensively,” Achiam said. “We had a pretty tense exchange, and he snapped and called me a jackass.”

In an effort to prove Achiam’s story, OpenAI’s lawyers brought a trophy to court that the futurist said he received after his heated exchange with Musk. On the witness stand, Achiam described the trophy as “a small golden jackass, inscribed with: ‘never stop being a jackass for safety.’" He said his then-colleagues, Dario Amodei and David Luan, gave it to him as a thank-you for standing up to the Tesla CEO. Lead OpenAI attorney William Savitt told reporters after the day’s session that Wednesday had been the first time he’d touched the statue. The futurist had to do without the visual aid, however. Judge Yvonne Gonzalez Rogers did not accept the trophy as evidence, so it did not appear before the jury.

Musk and Altman have presented dueling experts on a question at the core of the trial — was the nonprofit that runs OpenAI hurt or helped by its $13 billion partnership with Microsoft? Musk’s expert testified last week that the partnership was indeed hurt, supporting the Tesla CEO’s contention that in partnering with Microsoft, OpenAI betrayed the company’s nonprofit origins and mission. But on Thursday, OpenAI’s expert, John Coates, used Musk’s expert’s own pie chart and testimony against him. The partnership has “generated value for the nonprofit that I believe he himself accepted was in the $200 billion range in his own testimony,” Coates said, referencing Musk expert Daniel Schizer. “If that’s not faring well, I don’t know what faring well is.”

In a scored point for Musk, the jury learned Thursday that Microsoft’s own CTO once raised concerns about how OpenAI’s early nonprofit donors, including LinkedIn cofounder Reid Hoffman, would react to a partnership. “I wonder if the big OpenAI donors are aware of these plans,” Chief Technology Officer Kevin Scott said in a 2018 email he was asked to read aloud to jurors. In it, Scott said he doubted donors would appreciate OpenAI using their seed money to “go build a for-profit thing.” Scott was being questioned by an OpenAI lawyer, who may have wanted jurors to quickly hear Scott’s explanation: that he only had a “vague awareness” of what was happening at OpenAI at the time. Scott also told the jury he wasn’t thinking about Musk when he made the remark. “Primarily, I was thinking about Reid Hoffman. He was the OpenAI donor I knew,” Scott said, adding, “I wasn’t thinking about anyone besides him.”

Kelvin Evans was by the Atlanta police department in September in connection to a July 2025 car robbery where two suitcases containing Beyonce music and tour plans were stolen from a rental car. […] According to a July police report, Beyonce choreographer Christopher Grant and dancer Diandre Blue called 911 to report a theft from their rental vehicle, a 2024 Jeep Wagoneer, before Beyonce’s Cowboy Carter tour dates in Atlanta. An October indictment stated that Evans entered the car on July 8 “with the intent to commit theft.”

The stolen hard drives contained “watermarked music, some unreleased music, footage plans for the show and past and future set list,” according to a police report. Clothing, designer sunglasses, laptops and AirPods headphones were also stolen, Grant and Blue said. Local law enforcement searched for the location of one of the stolen laptops and the AirPods to try and locate the property. One police officer wrote in the report: “I conducted a suspicious stop in the area, due to the information that was relayed to me. There were several cars in the area also that the AirPods were pinging to in that area also. After further investigation, a silver [redacted], which had traveled into zone 5 was moving at the same time as the tracking on the AirPods.”

Evans was arrested several weeks after Grant and Blue filed a report, and was publicly named as the suspect in September. He was released on a $20,000 bond a month later. At the time of his arrest, Atlanta police said that the stolen property had not been recovered. It is unclear whether it has since been found.

SOLAI has launched the Solode Neo, a $399 Linux-based mini PC designed for always-on AI agents, browser automation, and persistent developer workflows. The compact system ships with an Intel N150 processor, 12GB LPDDR5 memory, 128GB SSD storage, Gigabit Ethernet, WiFi, Bluetooth, and a Linux-based operating system called Solode AI OS. The company says the device supports frameworks and tools including Claude Code, OpenAI Codex, Gemini CLI, and Hermes, while emphasizing local control, automation, and privacy-focused workflows running directly from a home network.

While SOLAI markets the Solode Neo as an “AI computer,” the hardware itself appears aimed more at lightweight automation and cloud-assisted agent tasks than heavy local inference. The low-power Intel N150 should be sufficient for browser automation, scheduling, monitoring, containers, and smaller AI workloads, but the system is unlikely to compete with higher-end local AI hardware designed for running larger models offline. Even so, the idea of a dedicated low-power Linux appliance for persistent AI and automation tasks may appeal to homelab users and self-hosting enthusiasts looking for a simpler alternative to building their own always-on workflow box from scratch.

On Reddit, Hacker News and other places where people in software development talk to each other, more and more people are becoming disillusioned with the promise of code generated by large language models. Developers talk not just about how the AI output is often flawed, but that using AI to get the job done is often a more time consuming, harder, and more frustrating experience because they have to go through the output and fix its mistakes. More concerning, developers who use AI at work report that they feel like they are de-skilling themselves and losing their ability to do their jobs as well as they used to.

“We’re being told to use [AI] agents for broad changes across our codebase. There’s no way to evaluate whether that much code is well-written or secure — especially when hundreds of other programmers in the company are doing the same,” a UX designer at a midsized tech company told me. 404 Media granted all the developers we talked to for this story anonymity because they signed non-disclosure agreements or because they fear retribution from their employers. “We’re building a rat’s nest of tech debt that will be impossible to untangle when these models become prohibitively expensive (any minute now…).”

The way faulty drivers work today is that the hardware partner is responsible for pushing an updated driver, or the end user is responsible for manually uninstalling the problematic driver. “This creates a gap where devices may remain on a low-quality driver for an extended period,” says the blog post. With Cloud-Initiated Driver Recovery, Microsoft will be able to remotely trigger a rollback of the faulty driver to a previously “known-good” version of the driver via the Windows Update pipeline. Microsoft says that testing and verification of Cloud-Initiated Driver Recovery will continue until August this year, aiming to deliver this feature to Windows PCs starting in September.

Proof of concept code for Fragnesia is already out there. There is a two-line patch for addressing the issue within the Linux kernel’s skbuff.c code. That patch hasn’t yet been mainlined or picked up by any mainline kernel releases but presumably will be in short order for addressing this local privilege escalation issue.

LinkedIn planned to inform staff of layoffs on Wednesday, two people familiar with the matter told Reuters, in a widening of technology sector cuts this year. The Microsoft-owned social network plans to cut about 5% of its headcount as it reorganizes teams and focuses personnel on areas where its business is growing […].

LinkedIn employs more than 17,500 full-time workers globally, its website says. Reuters was unable to determine the teams affected. The cuts come as revenue at LinkedIn, which sells recruiting tools and subscriptions, rose 12% in the just-ended quarter from a year prior, in an acceleration of growth in 2026, according to Microsoft’s securities filings. The layoff rationale was not for artificial intelligence to replace jobs at LinkedIn, one of the people told Reuters. The specter of AI-fueled disruption has nonetheless hung over software incumbents and workers generally.

For 30 years, KDE has been providing the free and open-source software essential for digital sovereignty in personal, corporate, and public infrastructures: operating systems, desktop environments, document viewers, image and video editors, software development libraries, and much more.

KDE’s software is competitive, publicly auditable, and freely available. It can be maintained, adapted, and improved in-house or by local software companies. And modifications (along with their source code) can be freely distributed to all users and departments within an organization.

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Grade inflation is at a tipping point at Harvard. A move to make A grades harder to come by at one of the world’s leading universities could influence grading debates at peer institutions. Solid A’s account for nearly two-thirds of all undergraduate letter grades. That’s up from roughly a quarter 20 years ago. More than 50 members of last year’s class graduated with perfect GPAs.

[…] Faculty are voting on three separate provisions. Each requires a simple majority to pass. A cap to limit solid-A grades to 20% of enrolled students in a class, plus four additional A’s per course. Changes to how internal honors are calculated, moving from traditional grade point average scoring to an average percentile rank. Allowing courses to use new “satisfactory” or “unsatisfactory” marks with a “satisfactory-plus” distinction.

A pre-vote faculty poll showed around 60% of the 205 respondents favored the 20-plus-four formula over an alternative. Supporters of the cap argue it’s intentionally modest as it places no restrictions on A-minuses. The four-grade buffer is designed to protect small seminars where a higher proportion of students may succeed. […] If passed, changes would take effect in fall 2027, followed by a mandatory three-year review.

Meta employees distributed flyers at multiple U.S. offices on Tuesday to protest the company’s recent installation of mouse-tracking software on their computers, according to photos of the pamphlets seen by Reuters. The flyers, which appeared in meeting rooms, on vending machines and atop toilet paper dispensers at the Facebook owner’s offices, encouraged staffers to sign an online petition against the move. “Don’t want to work at the Employee Data Extraction Factory?” they asked, according to the photos seen by Reuters. […]

The pamphlets and the petition both cite the U.S. National Labor Relations Act, saying “workers are legally protected when they choose to organize for the improvement of working conditions.” In the UK, a group of Meta employees has started organizing a drive for unionization with United Tech and Allied Workers (UTAW), a branch of the Communication Workers Union. The employees set up a website to recruit members using the URL "Leanin.uk,” a reference to former Chief Operating Officer Sheryl Sandberg’s best-selling book encouraging women to seek equal footing in the workplace. “Meta’s workers are paying the price for management’s reckless and expensive bets. While executives chase speculative AI strategies, staff are facing devastating job cuts, draconian surveillance, and the cruel reality of being forced to train the inefficient systems being positioned to replace them,” said Eleanor Payne, an organizer with UTAW.

CERN, a longtime Open Source pioneer, has made several contributions over the years to KiCad (“KEE-kad”), an Open Source EDA (Electronic Design Automation) package widely used in the hobbyist and professional electronics communities. It’s gotten so widely used that users can now submit their KiCad design files directly to several electronics fabricators (rather than the traditional step of converting the layouts to Gerber files). Over the years, CERN has also developed their own symbol and footprint libraries to support their own internal electronic designs. Last week, CERN released those KiCad component libraries, containing over 17,000 symbols, under the CERN Open Hardware License.

Ever felt like mosquitoes bite you while ignoring everyone else? Scientists are now making progress in deciphering the complex chemical cocktail that makes particular people more enticing to these disease-spreading bloodsuckers. “It’s not a misconception — mosquitoes are attracted to some people more than others,” Frederic Simard of France’s Institute of Research for Development told AFP. “But we are not all magnets all the time,” the medical entomologist added.

A range of sensory cues can cause mosquitoes to pick one human over another — mainly the smell and heat our bodies give off, and the carbon dioxide we exhale. Female mosquitoes — which are the only ones that bite — detect these signals with finely tuned receptors, then choose their target accordingly. “We have known for over 100 years that mosquitoes are attracted by the carbon dioxide that we exhale — this is the first signal that triggers their behavior” when they are dozens of meters away, Swedish scientist Rickard Ignell told AFP. Within around 10 meters, “mosquitoes will start detecting our odor, and in combination with carbon dioxide,” this attracts them even more, said the senior author of a recent study on the subject. As they get closer, body temperature and humidity make particular humans even more enticing.

[…] For Ignell’s recent study, the researchers released Aedes aegypti mosquitoes — known for spreading yellow fever and dengue — on 42 women in a lab, to see which ones they preferred. “We have shown that mosquitoes use a blend of odorous compounds (we identified 27 that the mosquitoes will detect, out of the possible 1,000) for their attraction to us,” Ignell said. The woman the mosquitoes most liked to bite — which included pregnant women in their second trimester — produced a large amount of a particular compound made by a breakdown of the skin oil sebum. That even a small increase of this compound — called “1-octen-3-ol”, or mushroom alcohol — made a difference came as a surprise, Ignell emphasized.

Before Elon Musk left OpenAI in a power struggle in 2018, he wanted to merge the nonprofit artificial intelligence lab with Tesla, his electric car company. Mr. Musk and other OpenAI co-founders met several times to discuss the merger. OpenAI’s chief executive, Sam Altman, was even offered a seat on Tesla’s board of directors, according to a court document. But folding OpenAI into Tesla would have eliminated the lab’s nonprofit status, and that, Mr. Altman said on the witness stand on Tuesday, was something he wanted to avoid. […] “I believed that A.I. should not be under the control of any one person,” Mr. Altman said. […] Mr. Altman testified about his feud with Mr. Musk. He said he had become worried that Mr. Musk, who provided the early investment money for OpenAI, wanted to take control of the lab. He described what he called a “particularly harrowing moment” when his OpenAI co-founders asked Mr. Musk what would happen to his control of a potential for-profit when he died. Mr. Altman said Mr. Musk had replied that the control would pass to his children. “I was not comfortable with that,” Mr. Altman said. When Mr. Musk lost a power struggle for control of the lab, he left, forcing Mr. Altman to find another big financial backer in Microsoft.

But Mr. Altman ran into trouble in 2023 when OpenAI’s board fired him because, as several of its members have testified in the trial, it didn’t trust him. Steven Molo, Mr. Musk’s lead lawyer, homed in on Mr. Altman’s trustworthiness during an aggressive cross-examination. “Are you completely trustworthy?” Mr. Molo asked. “I believe so,” Mr. Altman answered. After questioning Mr. Altman’s trustworthiness for nearly 20 minutes, Mr. Molo turned to Mr. Altman’s relationship with Mr. Musk. Mr. Altman said that after he met Mr. Musk in the mid-2010s, Mr. Musk had occasionally expressed concern about the dangers of A.I. But Mr. Musk spent far more time saying he was worried that companies like Google would get ahead in A.I. development, Mr. Altman said. (Mr. Musk testified in the trial that he had wanted to create OpenAI to prevent Google from controlling the technology.)

Mr. Altman, the lawyer intimated, took advantage of Mr. Musk’s concerns and was never sincere about his own A.I. fears. “Are you a person who just tells people things they want to hear whether those things are true or not?” Mr. Molo asked. The lawyer also questioned whether Mr. Atman, who became a billionaire through years of tech investments, was self-dealing through OpenAI. Mr. Molo showed a list of Mr. Altman’s personal investments across a number of companies that stand to benefit from their association with OpenAI. They included Helion Energy, a start-up that has deals with Microsoft and OpenAI, and Cerebras, a chip maker in business with OpenAI. Mr. Molo asked if Mr. Altman, who is on OpenAI’s board as well as its chief executive, would ever fire himself. “I have no plans to do that,” Mr. Altman said.

OpenAI’s odd journey from nonprofit lab to what it is today — a well-funded, for-profit company that is still connected to a nonprofit called the OpenAI Foundation with an endowment that could be worth more than $130 billion — provided grist for Mr. Molo’s questions about Mr. Altman’s motivations. He implied that Mr. Altman could have continued to build OpenAI as a pure nonprofit. But the only way to build such a valuable charity was to raise billions through a for-profit venture, Mr. Altman responded. Still, the giant sums being raised appeared to upset Mr. Musk. In late 2022, according to court documents, Mr. Musk sent a text to Mr. Altman complaining that Microsoft was preparing to invest $10 billion in OpenAI. “This is a bait and switch,” Mr. Musk said at the time. But Mr. Altman, under questioning from his own lawyers, said: “Every step of the way, I have done my best to maximize the value of the nonprofit. I would point out that there are not a lot of historical examples of a nonprofit at this scale.”

Presidential policy chief Kim Yong-beom said in a Facebook post that a portion of the profits and tax revenue derived from the artificial intelligence boom “should be structurally returned to all citizens.” That is because, Mr Kim argued, the economic gains from AI are based at least partly on industrial infrastructure built by the country over five decades. Mr Kim’s comments come after tens of thousands of people gathered outside Samsung’s main chip hub in April to demand employees get a greater share of AI profits. The company’s labour union wants 15 per cent of operating profit handed to chip-division employees.

The union has threatened an 18-day strike starting May 21. Workers have pointed to rising payouts at SK Hynix, which in 2025 agreed to allocate 10 per cent of its annual operating profit to a performance bonus pool, as evidence they deserve more pay. “Excess profits in the AI era are, by nature, concentrated,” Mr Kim wrote. Memory companies, core engineers and asset holders are highly likely to receive substantial benefits, while much of the middle class may experience only indirect effects.