Slashdot reader joshuark writes: Scientific American reports that a ChatGPT AI has proved a conjecture with a method no human had developed. A 23-year-old student Liam Price just cracked a 60-year-old problem that world-class mathematicians have tried and failed to solve.

The new solution that Price got in response to a single prompt to GPT-5.4 Pro was posted on www.erdosproblems.com, a website devoted to the Erds problems. The question Price solved — or prompted ChatGPT to solve—concerns special sets of whole numbers, where no number in the set can be evenly divided by any other...

Price sent it to his occasional collaborator Kevin Barreto, a second-year undergraduate in mathematics at the University of Cambridge. The duo had jump-started the AI-for-Erds craze late last year by prompting a free version of ChatGPT with open problems chosen at random from the Erds problems website. Reviewing Price's message, Barreto realized what they had was special, and experts whom he notified quickly took notice.

Last Saturday someone dressed as Jesus "was among the dozens of people in costumes and masks seen on a video forcing open the door of a Scientology building on Hollywood Boulevard," reports the Los Angeles Times, "after a tug-of-war with a security guard." The footage posted on TikTok and Instagram shows the group sprinting up and down stairs and clashing with black-shirted security guards, giggling and gasping to catch their breath while church members scream at them to leave. On their way out — as security guards approach armed with fire extinguishers — one of the sprinters stops and dances to celebrate their successful escape, a move reminiscent of a taunt from the video game Fortnite. For weeks, groups of people have barged into two of the church's Hollywood properties, racing through hallways and tussling with security guards, trying to see how far they can get before they are forced to leave by church staff...

Church officials say the incidents are not a game and have accused the speed runners of "hate crimes." After dozens on Saturday stormed the Ivar Avenue building that houses an exhibit dedicated to the church's founder, science fiction author L. Ron Hubbard, the external door handles were removed from all three of Scientology's properties on Hollywood Boulevard by Sunday morning. Guards could be seen blocking the doorway to one building on Monday afternoon...

No arrests have been made.
A report from the Associated Press cites a joke left on one of the videos: that if runners reach the top of the building, they'll find Tom Cruise. One commenter on a recent TikTok video of a speedrun asked why people are doing this, and another user simply replied, "because it's fun."
The 18-year-old who started the trend told the Hollywood Reporter his original video has been viewed over 100 million times. "From there on out, I pretty much knew that Scientology was like a free gateway to a lot of views."

Vulture notes that "there's even a Roblox re-creation of the trend, made using the 'maps; drawn from actual videos"

fjo3 shares a report from the Washington Post: Surging concentrations of carbon in the atmosphere, caused largely by burning fossil fuels, have produced potent changes in the way plants grow -- from increasing their sugar content to depleting essential nutrients like zinc. Experts fear the degradation of Earth's food supply will cause an epidemic of hidden hunger, in which even people who consume enough calories won't get the nutrients they need to thrive. "The diets we eat today have less nutritional density than what our grandparents ate, even if we eat exactly the same thing," said Kristie Ebi, a professor at the University of Washington's Center for Health and the Global Environment.

People in wealthy countries with strong health care systems will have many tools to cope with the change, experts said. But for the world's poorest and most vulnerable, the consequences could be devastating. One study concluded that by the middle of the century the phenomenon could put more than a billion additional women and children at risk of iron-deficiency anemia -- a condition that can cause pregnancy complications, developmental problems and even death. Meanwhile, some 2 billion people across the globe who already suffer from some form of nutrient shortage could see their health problems grow even worse. "The scale of the problem is huge," Ebi said.

Plants depend on carbon dioxide to perform photosynthesis -- but that doesn't mean they grow better when there's more carbon in the air, scientists say. A sweeping survey of changes among 32 compounds in 43 crops found that nearly every plant that humans eat is harmed by rising CO2 levels. [...] For the past several years, [Sterre F. ter Haar, an environmental scientist at Leiden University in the Netherlands and lead author of the survey] and her colleagues have worked to compile a database of all existing research on nutrient changes linked to rising CO2. They tracked down hundreds of studies, ranging from tightly controlled lab experiments to sprawling global analyses of real-world crops.

Next the team used their dataset to calculate the nutritional densities of each crop under different carbon dioxide levels -- and to predict how their composition could continue to shift in the future. On average, they found, nutrients have already decreased by an average 3.2 percent across all plants since the late 1980s, when the concentration of carbon dioxide in the atmosphere was about 350 parts per million. That figure may seem small, ter Haar said, but with so much of the world already living on the brink of nutrient insufficiency, a drop of just a few percentage points has the potential to push millions of additional people into a health crisis. Researchers are still trying to understand the exact causes of this change. Extra CO2 can make plants grow faster and produce more carbohydrates, but without a matching increase in mineral uptake, nutrients like zinc, iron, and protein become diluted. Higher CO2 also causes plants to open their leaf pores less often, reducing the amount of water -- and dissolved minerals -- they absorb through their roots. At the same time, higher temperatures can further disrupt soil chemistry, affecting how plants take up nutrients and, in some cases, increasing their absorption of harmful substances like arsenic.

An anonymous reader quotes a report from Ars Technica: Several times in the last couple of decades, Microsoft has released source code for the original MS-DOS operating system that kicked off its decades-long dominance of consumer PCs. This week, the company has reached further back than ever, releasing "the earliest DOS source code discovered to date" along with other documentation and notes from its developer.

Today's source release is so old that it predates the MS-DOS branding, and it includes "sources to the 86-DOS 1.00 kernel, several development snapshots of the PC-DOS 1.00 kernel, and some well-known utilities such as CHKDSK," write Microsoft's Stacey Haffner and Scott Hanselman in their co-authored post about the release. [...] This source code is old enough that it hadn't been stored digitally. "A dedicated team of historians and preservationists led by Yufeng Gao and Rich Cini," calling itself the "DOS Disassembly Group," painstakingly transcribed and scanned in code from paper printouts provided by Paterson. This process was made even more difficult because modern OCR software struggled with the quality of the decades-old printout.

An anonymous reader quotes a report from Ars Technica: The system prompt for OpenAI's Codex CLI contains a perplexing and repeated warning for the most recent GPT model to "never talk about goblins, gremlins, raccoons, trolls, ogres, pigeons, or other animals or creatures unless it is absolutely and unambiguously relevant to the user's query."

The explicit operational warning was made public last week as part of the latest open source code for Codex CLI that OpenAI posted on GitHub. The prohibition is repeated twice in a 3,500-plus word set of "base instructions" for the recently released GPT-5.5, alongside more anodyne reminders not to "use emojis or em dashes unless explicitly instructed" and to "never use destructive commands like 'git reset --hard' or 'git checkout --' unless the user has clearly asked for that operation."

Separate system prompt instructions for earlier models contained in the same JSON file do not contain the specific prohibition against mentioning goblins and other creatures, suggesting OpenAI is fighting a new problem that has popped up in its latest model release. Anecdotal evidence on social media shows some users complaining about GPT's penchant for focusing on goblins in completely unrelated conversations in recent days. Update: OpenAI has published a blog post explaining "where the goblins came from."

In short, a training signal meant to encourage its "Nerdy" personality accidentally rewarded creature-heavy metaphors, causing words like "goblins" and "gremlins" to spread beyond that personality into broader model behavior. OpenAI says it has since retired the Nerdy personality, removed the goblin-friendly reward signal, and filtered creature-word examples from training data to keep the quirk from resurfacing in inappropriate contexts.

Hashicorp co-founder Mitchell Hashimoto says GitHub's frequent outages have made it "no longer a place for serious work," prompting him to move his Ghostty terminal emulator project elsewhere after 18 years on the platform. The Register reports: "I've been angry about it. I've hurt people's feelings. I've been lashing out. Because GitHub is failing me, every single day, and it is personal. It is irrationally personal," he wrote. The reason for his ire is the service has become unreliable. "For the past month I've kept a journal where I put an 'X' next to every date where a GitHub outage has negatively impacted my ability to work," he wrote. "Almost every day has an 'X'. On the day I am writing this post, I've been unable to do any PR review for ~2 hours because there is a GitHub Actions outage."

Hashimoto penned his post a few days before an April 28 incident that saw pull requests fail to complete due to an Elasticsearch SNAFU. Incidents like that mean Hashimoto has decided GitHub "is no longer a place for serious work if it just blocks you out for hours per day, every day." "It's not a fun place for me to be anymore," he lamented. "I want to be there but it doesn't want me to be there. I want to get work done and it doesn't want me to get work done. I want to ship software and it doesn't want me to ship software."

The developer says he wants GitHub to improve, but "I also want to code. And I can't code with GitHub anymore. I'm sorry. After 18 years, I've got to go." He's open to a return if GitHub can deliver "real results and improvements, not words and promises." But for now, he's working to move Ghostty to another collaborative code locker. "We have a plan but I'm also very much still in discussions with multiple providers (both commercial and FOSS)," Hashimoto wrote. "It'll take us time to remove all of our dependencies on GitHub and we have a plan in place to do it as incrementally as possible."

He's doing the equivalent of leaving a toothbrush at a former partner's house by leaving a read-only mirror of Ghostty on GitHub, and by keeping his personal projects on the Microsoft-owned service. But Hashimoto's moving his day job somewhere new. "Ghostty is where I, our maintainers, and our open source community are most impacted so that is the focus of this change. We'll see where it goes after that," he concluded.

Elon Musk testified on day two of his trial against OpenAI, saying he helped create the company as a nonprofit counterweight to Google and would not have backed it if the goal had been private profit. CNBC reports: Musk on Tuesday was the first witness called to testify in the trial. He spoke about his upbringing, his many companies, his role in founding OpenAI and his understanding of its structure. Musk said in his testimony that he was not opposed to the creation of a small for-profit subsidiary, "as long as the tail didn't wag the dog." Musk said he was motivated to start OpenAI to serve as a counterweight to Google. He got the idea after an argument he had with Google co-founder Larry Page, who called Musk a "speciesist for being pro-human," he testified. "I could have started it as a for profit and I chose not to," Musk said on the stand.

Earlier, attorneys for Musk and OpenAI presented their opening arguments to the jury. Musk's lead trial lawyer, Steven Molo, delivered the opening statement for the Tesla and SpaceX CEO. OpenAI lawyer William Savitt gave the opening statement for the AI company, Altman and Brockman. OpenAI has characterized Musk's lawsuit as a baseless "harassment campaign." The company said Monday in a post on X that it "can't wait to make our case in court where both the truth and the law are on our side."

During his testimony on Tuesday, Musk repeatedly emphasized that he founded OpenAI to serve as a counterweight to Google. He said he got the idea after an argument about AI safety with Google co-founder Larry Page, who Musk said called him "a speciesist for being pro-human." Musk said he was concerned Page was not taking AI safety seriously, so he wanted there to be an nonprofit, open source alternative to Google. "I could have started it as a for profit and I chose not to," Musk said on the stand. Further reading: Elon Musk and OpenAI CEO Sam Altman Head To Court

An anonymous reader quotes a report from Wired: For its famous intractability, the Bloomberg Terminal has long inspired devotion, bordering on obsession. Among traders, the ability to chart a path through the software's dizzying scrolls of numbers and text to isolate far-flung information is the mark of a seasoned professional. But as a greater mass of data is fed into the Terminal -- not only earnings and asset prices, but weather forecasts, shipping logs, factory locations, consumer spending patterns, private loans, and so on -- valuable information is being lost. "It has become more and more untenable," says Shawn Edwards, chief technology officer at Bloomberg. "You miss things, or it takes too long."

To try to remedy the problem, Bloomberg is testing a chatbot-style interface for the Terminal, ASKB (pronounced ask-bee), built atop a basket of different language models. The broad idea is to help finance professionals to condense labor-intensive tasks, and make it possible to test abstract investment theses against the data through natural language prompts. As of publication, the ASKB beta is open to roughly a third of the software's 375,000 users; Bloomberg has not specified a date for a full release. Wired spoke with Edwards at Bloomberg's palatial London headquarters in early April, where he shared several examples of what ASKB can do. "With ASKB, I can create workflow templates. I can write a long query, and say, 'Hey, here's all the data I'm going to need. Give me a synopsis of the bull and bear cases, what the Street is saying, what the guidance is.' Now, I want to schedule [the workflows] or trigger them when I see this or that condition in the world."

As for what separates mediocre traders from the best, assuming both have access to the same data, Edwards said: "These tools are not magical. They don't make an average [employee] all of a sudden great. The difference will be your ideas. In the hands of experts, it allows them to do better analysis, deeper research -- to sift through 10 great ideas when they might have only had time for one. If you're a mediocre analyst, they'll be 10 mediocre ideas."

An anonymous reader quotes a report from Ars Technica: In January, the European Commission began an initial investigation, known as a specification proceeding, into how Google has implemented AI in the Android operating system. The results are in, and the EU says Android needs to be more open, which is not surprising. Meanwhile, Google says this amounts to "unwarranted intervention," which is equally unsurprising. Regardless of Google's characterization of the investigation, the commission may force Google to make Android AI changes this summer. This action stems from the continent's Digital Markets Act (DMA), a sweeping law that designates seven dominant technology companies as "gatekeepers" that are subject to greater regulation to ensure fair competition. Google has consistently spoken against the regulations imposed under the DMA, but it and the other gatekeepers have been subject to the law for several years now, and there's little chance the commission backs away from it.

The issue before the commission currently is the built-in advantage for Gemini on Android. When you turn on any Google-powered Android phone, Gemini is already there and gets special treatment at the system level. The European Commission is taking aim at the lack of features available to third-party AI services. The commission believes that there are too many experiences on Android that only work with Google's Gemini AI, and as a gatekeeper, Google must change that. "As we navigate the rapidly evolving landscape of AI, it is clear that interoperability is key to unlocking the full potential of these technologies," said Commission VP for Tech Sovereignty Henna Virkkunen in a statement. "These measures will open up Android devices to a wider range of AI services, so that users will have the freedom to choose the AI services that best meet their needs and values, without sacrificing functionality."

The commission does have a solid track record pushing for openness so far. Since the DMA came into force, Google has been required to make numerous changes to its business in Europe, like implementing search choice screens on Android, allowing alternative payment methods in the Play Store, and limiting data sharing across services. Now, the EU wants Google to make the Android platform more hospitable to third-party AI services. Google's objection focuses on preserving the autonomy for device makers (including Google) to customize AI services. "This unwarranted intervention would strip away that autonomy, mandate access to sensitive hardware and device permissions; unnecessarily driving up costs while undermining critical privacy and security protections for European users," said Google senior competition counsel Claire Kelly. The problem isn't that you can't install ChatGPT or Grok; it's that these chatbots don't have the same access to data and features as Gemini.

To address that imbalance, the EU is considering several requirements that would force Google to give third-party AI assistants deeper access to Android, closer to what Gemini currently enjoys. The proposed requirements include:
- Letting alternative AI tools be launched system-wide through hot words, gestures, or button presses.
- Allowing third-party assistants to see screen context when users invoke them.
- Giving non-Gemini AI tools access to local device data, with user permission, so they can generate proactive suggestions, summaries, and contextual help.
- Allowing other AI services to control installed apps and Android system features on the user's behalf.
- Ensuring third-party developers can access the necessary device hardware to run local AI models with strong performance, availability, and responsiveness.
- Requiring Google to create APIs that let outside AI providers plug into Android more deeply.
- Requiring Google to provide technical assistance to those AI providers.
- Making those APIs and support available free of charge.

BrianFagioli writes: Notepad++ has finally made its way to macOS, and this time it is not through a compatibility layer. A new community-driven port brings the long-standing Windows text editor over as a fully native Mac application, built with Cocoa and compiled for both Apple Silicon and Intel systems. Instead of relying on Wine or similar tools, the project replaces the Windows-specific interface with a macOS-native one while keeping the core editing engine intact, allowing longtime users to retain the same workflow, shortcuts, and overall feel.

The port is independent from the original Notepad++ project but tracks upstream changes closely, with development happening in the open. It is code-signed and notarized, and notably avoids telemetry or ads. Plugin support is being rebuilt for macOS and is still evolving, but the groundwork is in place. While macOS already has several established editors, this effort is aimed squarely at users who want the familiar Notepad++ experience without relearning a new tool. You can download the app here.

An anonymous reader quotes a report from VentureBeat: The whale has resurfaced. DeepSeek, the Chinese AI startup offshoot of High-Flyer Capital Management quantitative analysis firm, became a near-overnight sensation globally in January 2025 with the release of its open source R1 model that matched proprietary U.S. giants. It's been an epoch in AI since then, and while DeepSeek has released several updates to that model and its other V3 series, the international AI and business community has been largely waiting with baited breath for the follow-up to the R1 moment.

Now it's arrived with last night's release of DeepSeek-V4, a 1.6-trillion-parameter Mixture-of-Experts (MoE) model available free under commercially-friendly open source MIT License, which nears -- and on some benchmarks, surpasses -- the performance of the world's most advanced closed-source systems at approximately 1/6th the cost over the application programming interface (API).

This release -- which DeepSeek AI researcher Deli Chen described on X as a "labor of love" 484 days after the launch of V3 -- is being hailed as the "second DeepSeek moment." As Chen noted in his post, "AGI belongs to everyone". It's available now on AI code sharing community Hugging Face and through DeepSeek's API. The new DeepSeek-V4-Pro model delivers "near-frontier performance" at a much lower price, costing $5.22 for 1 million input and 1 million output tokens compared with $35 for GPT-5.5 and $30 for Claude Opus 4.7. That makes it roughly 1/7th the cost of GPT-5.5 and 1/6th the cost of Claude Opus 4.7, reinforcing VentureBeat's point that DeepSeek is "compressing advanced model economics into a much lower band."

While GPT-5.5 and Claude Opus 4.7 still lead on most benchmarks, DeepSeek-V4-Pro gets close enough that its lower cost could "force a major rethink of the economics of advanced AI deployment."

Public stock exchanges "appear to be warming to climate tech startups," reports TechCrunch. "Or at least some of them." This week, nuclear startup X-energy went public, raising $1 billion in an upsized share offering that appears to have delivered a windfall for its investors, including Amazon [and Google]. Retail investors apparently can't get enough, with the stock popping 25% in its first hour of trading. Also this week, geothermal startup Fervo said it filed for an initial public offering. The size of the Fervo IPO has yet to be disclosed, but private investors have valued the company at around $3 billion, according to PitchBook.

The move to go public aligns with what investors told TechCrunch at the end of last year. After years of tepid attitudes toward climate tech companies, they expected public markets to start welcoming energy-related startups. Nearly every investor that weighed in on the question said the startups with the best chances of going public specialize in either nuclear fission or enhanced geothermal. Fervo, specifically, was mentioned several times. Thank data centers for that. The AI craze has taken a trend of rising demand for electricity and made it sexy and salable.

The Conversation published this warning from privacy/tech law/electronic surveillance attorney Anne Toomey McKenna (also an affiliated faculty member at Penn State's Institute for Computational and Data Sciences). The U.S. government "is able to purchase Americans' sensitive data because the information it buys is not subject to the same restrictions as information it collects directly. The federal government is also ramping up its abilities to directly collect data through partnerships with private tech companies. These surveillance tech partnerships are becoming entrenched, domestically and abroad, as advances in AI take surveillance to unprecedented levels... " Congressional funding is supercharging huge government investments in surveillance tech and data analytics driven by AI, which automates analysis of very large amounts of data. The massive 2025 tax-and-spending law netted the Department of Homeland Security an unprecedented US$165 billion in yearly funding. Immigration and Customs Enforcement, part of DHS, got about $86 billion. Disclosure of documents allegedly hacked from Homeland Security reveal a massive surveillance web that has all Americans in its scope. DHS is expanding its AI surveillance capabilities with a surge in contracts to private companies. It is reportedly funding companies that provide more AI-automated surveillance in airports; adapters to convert agents' phones into biometric scanners; and an AI platform that acquires all 911 call center data to build geospatial heat maps to predict incident trends. Predicting incident trends can be a form of predictive policing, which uses data to anticipate where, when and how crime may occur...

Meanwhile, the Trump administration's national policy framework for artificial intelligence, released on March 20, 2026, urges Congress to use grants and tax incentives to fund "wider deployment of AI tools across American industry" and to allow industry and academia to use federal datasets to train AI. Using federal datasets this way raises privacy law concerns because they contain a lifetime of sensitive details about you, including biographical, employment and tax information....
The author argues that it's now critical for Americans to know "why the laws you might think are protecting your data do not apply or are ignored." On March 18, 2026, FBI Director Kash Patel confirmed to Congress that the FBI is buying Americans' data from data brokers, including location histories, to track American citizens.... But in buying your data in bulk on the commercial market, the government is circumventing the Constitution, Supreme Court decisions and federal laws designed to protect your privacy from unwarranted government overreach... Supreme Court cases require police to get a warrant to search a phone or use cellular or GPS location information to track someone. The Electronic Communications Privacy Act's Wiretap Act prohibits unauthorized interception of wire, oral and electronic communications.

Despite some efforts, Congress has failed to enact legislation to protect data privacy, the use of sensitive data by AI systems or to restore the intent of the Electronic Communications Privacy Act. Courts have allowed the broad electronic privacy protections in the federal Wiretap Act to be eviscerated by companies claiming consent. In my opinion, the way to begin to address these problems is to restore the Wiretap Act and related laws to their intended purposes of protecting Americans' privacy in communications, and for Congress to follow through on its promises and efforts by passing legislation that secures Americans' data privacy and protects them from AI harms.
Thanks to long-time Slashdot reader sinij for sharing the article.

Colorado's "age-attestation" bill left the House committee with new exemptions for open-source operating systems, applications, code repositories, and containerized software distribution, reports the blog Linuxiac: [The bill] focuses on operating system providers and application stores. Its main requirement is that these providers supply an age-related signal via an interface, so applications can determine whether a user is a minor... System76 founder Carl Richell shared on Fosstodon that the updated bill now includes "a strong exemption for open source distros and apps" and has passed in the House committee. He also quoted the key part, which says Article 30 does not apply to an operating system provider or developer that distributes software under license terms that let recipients copy, redistribute, and modify the software without restrictions from the provider or developer... This wording covers Linux distributions and many open-source applications without linking the exemption to any specific project, company, or ecosystem.

The amendment also excludes applications from free, public code repositories from being considered covered applications. It also excludes code repository providers and containerized software distribution from being defined as covered application stores. This is meant to prevent platforms like GitHub, GitLab, Docker, or Podman-based distributions from being treated like commercial app stores under the bill.
"There are more steps but we're on our way to protecting the open source community," Richell posted on Fosstodon, "at least in Colorado."

Microsoft released the "Windows Subsystem for Linux" in 2016, adding an optional Linux environment into every operating system since Windows 10. But now an open source developer has brought Linux to Windows 95, Windows 98, and Windows Me, reports the blog It's FOSS, "with Linux kernel 6.19 running alongside the Windows 9x kernel, letting both operate on the same machine at the same time." A virtual device driver handles initialization, loads the kernel off disk and manages the event loop for page faults and syscalls. Since Win9x lacks the right interrupt table support for the standard Linux syscall interrupt, WSL9x reroutes those calls through the fault handler instead. Rounding it all out is wsl.com, a small 16-bit DOS program that pipes the terminal output from Linux back to whatever MS-DOS prompt window you ran it from.
The end result is that WSL9x requires no hardware virtualization, and can run on hardware as old as the i486, the article points out. On Mastodon the developer says they "really got this one in right under the wire, before they start removing 486 support from Linux."

The source code for WSL9x is released under the GPL-3 license, and was "proudly written without AI."

An anonymous reader quotes a report from NPR: The Food and Drug Administration approved the first gene therapy to restore hearing for people who were born deaf. The decision, while only immediately affecting people born with a very rare form of genetic deafness, is being hailed as a milestone in the quest to treat hearing loss. "It's the first time in history there's a new drug for hearing loss," says Zheng-Yi Chen, an associate scientist at Mass Eye and Ear in Boston who was not involved in the development of the therapy approved by the FDA Thursday. But his research team reported very promising results with a similar approach Wednesday. "I think it's an historical event, a landmark, a great development for the whole field," he says of the approval. [...] The FDA's decision was based on the results from the treatment of 20 patients born with a defective version of a gene known as OTOF, which is necessary to transmit sound from the ears to the brain.

Doctors infused billions of adeno-associated viruses into the patients' ears by making a small incision behind the ear to open a small hole in the skull. The viruses carried a healthy version of the OTOF gene that had been split in half to fit inside the virus. The gene provides instructions to make the otoferlin protein, which is necessary for hair cells in the inner ear to transmit sound to the brain. Most of the patients began to hear for the first time within weeks, with the quality of their hearing improving over the following months, according to [Regeneron Pharmaceuticals, which developed the gene therapy and plans to offer it for free in the U.S. It should be available within weeks.]. The amount of hearing patients gained varied, but 80% achieved at least some significant hearing restoration and 42% ended up with normal hearing, which included the ability to hear whispers, Regeneron says. The hearing ability has lasted at least two years so far.

The treatment can only help patients with the very rare form of deafness that Smith was born with, which only affects about 50 children each year in the U.S. But similar gene therapies are showing promise for other forms of genetic deafness. And researchers hope someday gene therapy may help with common types of hearing loss, like from aging and loud noise.

Warner Bros. Discovery shareholders have approved Paramount Skydance's takeover bid, moving the massive Hollywood merger a step closer to completion. It's not a done deal quite yet, though, as it still faces regulatory scrutiny and fierce opposition from critics who warn it will further concentrate media power. The Associated Press reports: Per a preliminary vote count Thursday, Warner Bros. Discovery said the overwhelming majority of its stakeholders voted in support of selling the entire business to Skydance-owned Paramount for $31 a share. Including debt, the deal is valued at nearly $111 billion based on Warner's current outstanding shares. That means Warner-owned HBO Max, cult-favorite titles like "Harry Potter" and even CNN could soon find themselves under the same roof with Paramount's CBS, "Top Gun" and the Paramount+ streaming service.

David Zaslav, CEO of Warner Bros. Discovery, said in a statement that stockholder approval marks "another key milestone toward completing this historic transaction." Paramount added that it looks forward to closing in the coming months, and "realizing the creation of a next-generation media and entertainment company." [...] Meanwhile, Warner shareholders rejected a separate measure Thursday outlining post-merger payments for company executives.

Meta is reportedly cutting about 10% of its workforce, or roughly 8,000 jobs, while closing thousands of open roles it had intended to fill. "We're doing this as part of our continued effort to run the company more efficiently and to allow us to offset the other investments we're making," said Janelle Gale, Meta's chief people officer. The company had almost 79,000 employees at the start of the year. Quartz reports: Meta CEO Mark Zuckerberg has poured resources into building out AI capabilities, directing spending toward model development, chatbot products, and the engineering talent to support them. Meta set its 2026 capital expenditure guidance at $115 billion to $135 billion, almost double the $72 billion it spent in 2025. Employees have been encouraged to use AI agents internally for tasks such as writing code.

The early disclosure, Gale explained, was prompted by the fact that information about the cuts had already made its way into press reports before the company was ready to announce. "I know this is unwelcome news and confirming this puts everyone in an uneasy state, but we feel this is the best path forward, given the circumstances," she wrote.

According to the memo, severance for affected workers in the United States will cover 18 months of COBRA health insurance premiums, along with a base pay component of 16 weeks that increases by two weeks for each year of service. Departing employees will have access to job placement assistance and, where applicable, help navigating immigration status. Packages outside the U.S. will vary by country. Meta cut between 10% and 15% of its Reality Labs workforce in January, shut down several VR game studios, and shed about 700 positions across at least five divisions in March.

A satirical but working tool called Malus uses AI to create "clean room" clones of open-source software, aiming to reproduce the same functionality while shedding attribution and copyleft obligations. "It works," Mike Nolan, one of the two people behind Malus, who researches the political economy of open source software and currently works for the United Nations, told 404 Media. "The Stripe charge will provide you the thing, and it was important for us to do that, because we felt that if it was just satire, it would end up like every other piece of research I've done on open source, which ends up being largely dismissed by open source tech workers who felt that they were too special and too unique and too intelligent to ever be the ones on the bad side of the layoffs or the economics of the situation." 404 Media reports: Malus's legal strategy for bypassing copyright is based on a historically pivotal moment for software and copyright law dating back to 1982. Back then, IBM dominated home computing, and competitors like Columbia Data Products wanted to sell products that were compatible with software that IBM customers were already using. Reverse engineering IBM's computer would have infringed on the company's copyright, so Columbia Data Products came up with what we now know as a "clean room" design.

It tasked one team with examining IBM's BIOS and creating specifications for what a clone of that system would require. A different "clean" team, one that was never exposed to IBM's code, then created BIOS that met those specifications from scratch. The result was a system that was compatible with IBM's ecosystem but didn't violate its copyright because it did not copy IBM's technical process and counted as original work.

This clean room method, which has been validated by case law and dramatized in the first season of Halt and Catch Fire, made computing more open and competitive than it would have been otherwise. But it has taken on new meaning in the age of generative AI. It is now easier than ever to ask AI tools to produce software that is identical in function to existing open source projects, and that, some would argue, are built from scratch and are therefore original work that can bypass existing copyright licenses. Others would say that software produced by large language models is inherently derivative, because like any LLM output, it is trained on the collective output of humans scraped from the internet, including specific open source projects.

Malus (pronounced malice), uses AI to do the same thing. "Finally, liberation from open source license obligations," Malus's site says. "Our proprietary AI robots independently recreate any open source project from scratch. The result? Legally distinct code with corporate-friendly licensing. No attribution. No copyleft. No problems." Copyleft is a type of copyright license that ensures reproductions or applications of the software keep it free to share and modify.

An anonymous reader quotes a report from Bloomberg: At Google, leaders are anxious about falling behind in the race to offer AI coding tools, especially as rivals like Anthropic PBC offer more effective and popular tools to businesses, according to people familiar with the matter. The search giant is now working to unite some of its coding initiatives under one banner to speed progress and take advantage of a surge in customer interest. In some corners of Alphabet's Google, particularly AI lab DeepMind, concerns about the company's position are mounting, according to current and former employees and executives, who declined to be named because they weren't authorized to speak publicly.

Businesses are just starting to realize that AI coding tools can enable anyone to build products by prompting a chatbot. But Google doesn't have a clear solution for them. Its Gemini model's capabilities are sprinkled across half a dozen different coding products with different branding, indicating how the company's lack of focus and competing internal efforts have hampered success, the people said. Even internally, some Google engineers prefer to use Anthropic's Claude Code, they said. More concerning, the people said, are the engineers who are struggling to adopt AI coding at all. [...] Google's emphasis on its own technology has also complicated the push to catch up. Most employees are banned from using competing tools such as Claude Code or Codex due to security concerns, but Googlers can request exceptions if they can demonstrate they have a business case, one former employee said. Some teams at DeepMind, including those working on the Gemini model, internal applications, and open source models, use Claude Code, according to three former employees. "You want the best people to use the best tool, even inside Google," one of the former employees said. [...]

In recent years, DeepMind has tried to tighten control over how its AI breakthroughs are woven into Google products. Last year, Google appointed Kavukcuoglu to a new position as chief AI architect, a role in which he is charged with folding generative AI into Google products. Yet confusion about who is leading the charge on AI coding persists. Along with DeepMind, Google Cloud, Google Core, Google Labs and Android are all pushing AI coding in different ways, one of the people said. [...] Within the Googleplex, there is a philosophical clash between AI researchers who want to move as quickly as possible and more traditional senior engineers who have exacting standards for code quality, former employees say. AI usage is factored into performance reviews, according to a former employee. But engineers who try to use internal AI coding tools often hit capacity constraints due to competition for computing power, the former employee said.