A Bitcoin holder reportedly recovered 5 BTC worth nearly $400,000 with the help of Anthropic's Claude. According to X user cprkrn, they changed their wallet password while "stoned" and forgot it, unable to regain access for more than 11 years. Tom's Hardware reports: After finding a mnemonic that actually turned out to be their old password a few weeks ago, the user dumped their entire college computer files in Claude in a last-gasp effort. The bot uncovered an old backup wallet file that it successfully decrypted, while also uncovering a bug in the password configuration that was preventing recovery up to that point.

[...] It seems that the user already had some candidate passwords and multiple wallets stored on their PC. They'd been trying to brute-force their way into the locked file with btcrecover, an open-source Bitcoin wallet recovery tool, but to no success. Their luck changed for the better when they found an old mnemonic seed phrase written in an old college notebook. The HD addresses recovered by the seed phrase matched those of a specific file on their computer, confirming that it was the wallet that held the 5 BTC, but it remained encrypted.

Out of frustration, cprkrn then dumped their whole college computer into Claude. This was when the AI discovered an older backup file of the wallet from December 2019 hidden in cprkrn's data. Claude also discovered an issue where the shared key and passwords that btcrecover was trying weren't combined properly. With the bug ironed out and an older wallet predating the password change, Claude successfully ran btcrecover and was able to decrypt the private keys, allowing cprkrn to transfer the five "lost" BTC to their current wallet.

The German Sovereign Tech Fund has invested 1.2 million euros ($1.4 million USD) in KDE Plasma technologies to help strengthen the structural reliability and security of the desktop environment's core infrastructure, including Plasma, KDE Linux, and the frameworks underlying its communication services. Longtime Slashdot reader jrepin shares an excerpt from the announcement: 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.

KDE will use Sovereign Tech Fund's investment to push its essential software products to the next level, providing every individual, business, and public administration with the opportunity to regain their privacy, security, and control over their digital sovereignty. Slashdot reader Elektroschock also shared a statement from Fiona Krakenburger, Technical Director at the Sovereign Tech Agency.

"We have long invested in desktop technologies for a reason: they are the primary way people access and use digital services in everyday life," says Krakenburger. "The desktop holds personal data and mediates nearly every service we depend on, from booking the next medical appointment, to education, to the way we work. We are investing in KDE because it is one of the two major desktop environments used across Linux and plays a key role in how millions of people experience open technology. Strengthening KDE's testing infrastructure, security architecture, and communication frameworks is how we invest in the resilience and reliability of the core digital infrastructure that modern society depends on."

Ancient Slashdot reader ewhac writes: 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.

The Musk v. Altman trial entered its third week Monday, with Microsoft CEO Satya Nadella and former OpenAI co-founder and renowned AI researcher Ilya Sutskever taking the stand. Nadella testified that Elon Musk never raised concerns to him that Microsoft's investments in OpenAI violated any special commitments, and said he viewed the partnership as clearly commercial from the start. He also described OpenAI's 2023 board crisis as "amateur city."

Meanwhile, Sutskever testified that he had raised concerns about Sam Altman because he feared OpenAI could be "destroyed." He expressed concerns about Altman's behavior to the board, in part because he said he felt "a great deal of ownership" over the startup. "I simply cared for it, and I didn't want it to be destroyed," Sutskever said. CNBC reports: Nadella said he was "very proud" that Microsoft took the risk to invest in OpenAI when "no one else was willing" to bet on the fledgling lab. Musk, who testified late last month, said Microsoft's $10 billion investment was the key tipping point that made him believe OpenAI was violating its nonprofit mission. He testified that the scale of the investment bothered him, and it prompted him to open a legal investigation into OpenAI. "I was concerned they were really trying to steal the charity," Musk said from the stand.

Nadella said he did not believe Microsoft's investments in OpenAI were donations, and that there was a clear commercial element to their partnership from the outset. He said during the partnership's early years, Microsoft gave OpenAI sharp discounts on computing resources, and Microsoft believed it would reap marketing benefits from doing so. During a separate video deposition that was played on Monday morning, Michael Wetter, a corporate development executive at Microsoft, said the company has recognized approximately $9.5 billion in revenue to date through its partnership with OpenAI as of March 2025.

[...] Nadella said he was "pretty surprised" by the board's decision [to fire Altman in November 2023], and that his priority was to try and figure out how to maintain continuity for Microsoft customers. Immediately after Altman was removed, Nadella said he made an effort to learn more about what happened, adding that he suspected jealousy and poor communication was at play. During conversations with OpenAI board members after the firing, Nadella said he was simply trying to understand the language in the OpenAI's statement about Altman being "not consistently candid" while communicating with the board. That language, Nadella said, "just didn't sort of suffice, because this is the CEO of a company that we are invested in and we're deeply partnered with, and so I felt that they could have explained to me what are the incidents or what is the detail behind it." There must have been instances of jealousy or miscommunication that could have justified pushing out Altman, Nadella said. He wanted more depth from the board members after the remark about candor, but no such information was available, he said. "It was sort of amateur city, as far as I'm concerned," Nadella testified.

[...] Musk testified that he is not entirely against OpenAI having a for-profit unit, but he said it became "the tail wagging the dog." He repeatedly accused Altman and Brockman of enriching themselves from a charity while also reaping the positive associations that come from running a nonprofit. "Microsoft has their own motivations, and that would be different from the motivations of the charity," Musk said from the stand. "All due respect to Microsoft, do you really want Microsoft controlling digital superintelligence?"

During a videotaped deposition shown in court last week, former OpenAI director Tasha McCauley recalled a discussion with Nadella and her fellow board members after the 2023 decision to dismiss Altman as OpenAI's CEO. "To the best of my recollection, Satya wanted to restore things to as they had been," McCauley said. The board members didn't think that was the right move, she said. But as a court witness on Monday, Nadella said he never demanded that the board reinstate Altman as OpenAI CEO. Recap:
Sam Altman Had a Bad Day In Court (Day Eight)
Sam Altman's Management Style Comes Under the Microscope At OpenAI Trial (Day Seven)
Brockman Rebuts Musk's Take On Startup's History, Recounts Secret Work For Tesla (Day Six)
OpenAI President Discloses His Stake In the Company Is Worth $30 Billion (Day Five)
Musk Concludes Testimony At OpenAI Trial (Day Four)
Elon Musk Says OpenAI Betrayed Him, Clashes With Company's Attorney (Day Three)
Musk Testifies OpenAI Was Created As Nonprofit To Counter Google (Day Two)
Elon Musk and OpenAI CEO Sam Altman Head To Court (Day One)

cURL creator Daniel Stenberg says Anthropic's hyped Mythos bug-hunting model found only one confirmed low-severity vulnerability in cURL, plus a few non-security bugs, after he expected a much longer list. He argues Mythos may be useful, but not meaningfully beyond other modern AI code-analysis tools. "My personal conclusion can however not end up with anything else than that the big hype around this model so far was primarily marketing," Stenberg said a blog post. "I see no evidence that this setup finds issues to any particular higher or more advanced degree than the other tools have done before Mythos." He went on to call Mythos "an amazingly successful marketing stunt for sure." The Register reports: Stenberg explained in a Monday blog post that he was promised access to Anthropic's Mythos model - sort of - through the AI biz's Project Glasswing program. Part of Glasswing involves giving high-profile open source projects access via the Linux Foundation, but while Stenberg signed up to try Mythos, he said he never actually received direct access to the model. Instead, someone else with access ran Mythos against curl's codebase and later sent him a report. "It's not that I would have a lot of time to explore lots of different prompts and doing deep dive adventures anyway," Stenberg explained. "Getting the tool to generate a first proper scan and analysis would be great, whoever did it."

That scan, which analyzed curl's git repository at a recent master-branch commit, was sent back to him earlier this month, and it found just five things that it claimed were "confirmed security vulnerabilities" in cURL. Saying he had expected an extensive list of vulnerabilities, Stenberg wrote that the report "felt like nothing," and that feeling was further validated by a review of Mythos' findings. "Once my curl security team fellows and I had poked on this short list for a number of hours and dug into the details, we had trimmed the list down and were left with one confirmed vulnerability," Stenberg said, bringing us back to the aforementioned number.

As for the other four, three turned out to be false positives that pointed out cURL shortcomings already noted in API documentation, while the team deemed the fourth to be just a simple bug. "The single confirmed vulnerability is going to end up a severity low CVE planned to get published in sync with our pending next curl release 8.21.0 in late June," the cURL meister noted. "The flaw is not going to make anyone grasp for breath."

GM is laying off about 500 to 600 salaried IT workers, mainly in Austin, Texas, and Warren, Michigan, as it restructures its technology organization and trims costs. "GM is transforming its Information Technology organization to better position the company for the future. As part of that work, we have made the difficult decision to eliminate certain roles globally. We are grateful for the contributions of the employees affected and are committed to supporting them through this transition," the automaker said in an emailed statement. CNBC reports: GM reported employing about 68,000 salaried workers globally as of the end of last year, including 47,000 white-collar employees in the U.S. Despite Monday's cuts, GM still is still hiring IT workers. The company has 82 open IT positions that include positions working in artificial intelligence, motorsports and autonomous vehicles, according to the automaker's careers website.

The free/open source project OrcaSlicer is a popular fork of 3D printer slicing software from Bambu Lab. But Tuesday independent developer Pawel Jarczak shuttered the project "following legal threats from Bambu Lab," reports Tom's Hardware: Jarczak's fork of OrcaSlicer would have allowed users to bypass Bambu Connect, a middleware application that severely limits OrcaSlicer's access to remote printer functions in the name of security. Jarczak said in a note on GitHub that Bambu Lab threatened him with a cease and desist letter and accused him of reverse engineering its software in order to impersonate Bambu Studio.
From Bambu Lab's blog post: Bambu Studio is an open-source project under the AGPL-3.0 license. Anyone can take its code, modify it, and distribute it... That's what OrcaSlicer does, and 734 other forks do as well. We have no issue with that and never have. At the same time, a license for code is not a pass to our cloud infrastructure... Our cloud is a private service. Access to it is governed by a user agreement, not the AGPL license... [T]he modification in question worked by injecting falsified identity metadata into network communication. In simple terms: it pretended to be the official Bambu Studio client when communicating with our servers... If this method were widely adopted or incorrectly configured, thousands of clients could simultaneously hit our servers while impersonating the official client.
"User-Agent is not authentication," counters OrcaSlicer's developer. "It is only self-declared client metadata. Any program can set any User-Agent." And "the User-Agent construction comes directly from Bambu Lab's own public AGPL Bambu Studio code.... So on what basis can anyone claim that I am not allowed to use this specific part of AGPL-licensed code under the AGPL license...? My work was based on publicly available Bambu Studio source code together with my own integration layer."

But the bottom line is that Bambu Lab "contacted me directly and demanded removal of the solution." I asked whether I could publish the private correspondence in full for transparency. That request was refused... They also referred to legal materials and stated that a cease and desist letter had been prepared...

I removed the repository voluntarily. That removal should not be interpreted as an admission that all legal or technical allegations made against the project were correct. I removed it because I have no interest in maintaining a prolonged dispute around this particular implementation, and no interest in continuing to distribute it.
YouTuber and right-to-repair advocate Louis Rossmann reviewed the correspondence from Bambu Lab — then pledged $10,000 for legal expenses if the developer returned his code online. ("I think that their legal claim is bullshit," Rossman said Saturday in a YouTube video for his 2.5 million subscribers. "I'm not a lawyer, but I'm willing to put my money where my mouth is.")

The video now has over 129,000 views so far. "Rossman has not started a crowdfunding site yet," Tom's Hardware notes, "stating in the comments that he wants to prove to Jarczak that he has supporters willing to put their money where their mouth is. The video had over 129,000 views so far, with commenters vowing to back the case as requested."

Open-source PS3 emulator RPCS3 "has been around since 2011," Kotaku notes, and has made 70% of the PlayStation 3's library fully playable, "bolstered in part by the many users who contribute to its GitHub page." But their dev team "took to X today to very kindly and civilly request that users 'stop submitting AI slop code pull requests' to its GitHub page." Then they immediately proceeded to tell the AI-brain-rotted tech bros attempting to justify their vibe-coding nonsense to kick rocks in the replies, which is somewhat less civil but far more entertaining to read...

My favorite one was when someone asked how the team was certain they weren't rejecting human-written code, to which RPCS3 replied: "You can't possibly handwrite the type of shit AI slop we have been seeing."

Under the nonprofit Linux Foundation, "a new Sustaining Package Registries Working Group will seek to identify concrete funding, governance, and security practices," reports ZDNet, "to keep code flowing as download counts grow.... Because software builds, continuous integration pipelines, and AI systems hammer registries at machine speed rather than human speed, the sites can't keep up.

"That growth has brought a surge in bot traffic, automated publishing, security reports, and outright abuse, exposing what the working group bluntly calls a 'sustainability gap'." Sonatype CTO Brian Fox, who oversees the Maven Central Java registry, estimates open-source registries saw 10 trillion downloads in 2025. And "The same pattern is appearing across ecosystems. More machine traffic. More automation. More scanning. More expectations around uptime, integrity, provenance, and policy enforcement. More cost. More support burden. More dependency on infrastructure that the industry still talks about as though it runs on goodwill and spare time."

ZDNet reports that "To tackle that, Sonatype has teamed up with the Linux Foundation and other package registry leaders, including Alpha-Omega, Eclipse Foundation (OpenVSX), OpenJS Foundation, OpenSSF, Packagist, Python Software Foundation, Ruby Central (RubyGems), and the Rust Foundation (Crates)." The idea is to give operators a neutral forum to discuss money, governance, and shared operational burdens openly. Once that's dealt with, they'll coordinate how to explain those realities back to companies and organizations that have long assumed registries are "free." No, they're not. They never were. As the Linux Foundation pointed out, "Registries today run primarily on two things: (1) infrastructure donations and credits; and (2) heroic efforts from small paid teams (themselves funded by donations and grants) and unpaid volunteers that operate and maintain registry services. The bulk of donations and grants comes from a small set of donors and doesn't scale with demands on the registry."

The working group is explicitly positioned as a venue where registry leaders and ecosystem stakeholders can align on "practical, community-minded" ways to sustain that infrastructure, rather than each operator improvising its own survival plan in isolation.
ZDNet says the group will also coordinate security practices and information, and craft frameworks "that make it politically and legally possible to introduce sustainable funding models without fracturing communities." And they will also "align messaging and educational content so developers, companies, and policymakers finally understand what it costs to run these services."

Cisco has released an open-source tool "to trace the origins of AI models," reports SC World, "and compare model similarities for great visibility into the AI supply chain." [Cisco's Model Provenance Kit] is a Python toolkit and command-line interface (CLI) that looks at signals such as metadata and weights to create a "fingerprint" for AI models that can then be compared to other model fingerprints to determine potential shared origins. "Think of Model Provenance Kit as a DNA test for AI models," Cisco researchers wrote. "[...] Much like a DNA test reveals biological origins, the Model Provenance Kit examines both metadata and the actual learned parameters of a model (like a unique genome that comprises a model), to assess whether models share a common origin and identify signs of modification."

The tool aims to address gaps in visibility into the AI model supply chain. For example, many organizations utilize open-source models from repositories like HuggingFace, where models could potentially be uploaded with incomplete or deceptive documentation. The Model Provenance Kit provides a way for organizations to verify claims about a model's origins, such as claims that a model is trained from scratch, when in reality it may be copied from another model, Cisco said. This may put organizations at risk of using models with unknown biases, vulnerabilities or manipulations and make it more difficult to resolve any incidents that arise from these risks.
Thanks to Slashdot reader spatwei for sharing the news.

An anonymous reader quotes a report from the Guardian: Walking into Mexico City's sprawling central Zocalo is a dizzying experience. At one end of the plaza, the capital's cathedral, with its soaring spires, slumps in one direction. An attached church, known as the Metropolitan Sanctuary, tilts in the other. The nearby National Palace also seems off-kilter. The teetering of many of the capital's historic buildings is the most visible sign of a phenomenon that has been ongoing for more than a century: Mexico City is sinking at an alarming rate. Now, the metropolis's descent is being tracked in real time thanks to one of the most powerful radar systems ever launched into space. Known as Nisar, the satellite can detect minute changes in Earth's surface, even through thick vegetation or cloud cover. "Nisar takes radar imaging observations of Earth to the next level," said Marin Govorcin, a scientist at Nasa's jet propulsion laboratory. "Nisar will see any change big or small that happens on Earth from week to week. No other imaging mission can claim this."

Though not the first time that Mexico City's sinking has been observed from space, the Nisar mission has provided a greater sense of how far the sinking spreads and how it changes across different types of land than any other space-based sensor. It has also been able to penetrate areas on the outskirts of the city that were previously challenging to study because of the complex terrain. The implications of the imagery extend far beyond the Mexican capital. "This study of Mexico City speaks to the realm of possibilities that will open up thanks to the Nisar system," said Dario Solano-Rojas, an engineer at the National Autonomous University of Mexico (Unam). "And not just for sinking cities but also for studying volcanoes, for studying the deformation associated with earthquakes, for studying landslides." According to Nasa, the technology is also capable of monitoring the climate crisis, glacier sliding, agricultural productivity, soil moisture, forestry, coastal flooding and more. The Nisar system found that some parts of the city are dropping by more than 2cm a month. "First documented in 1925, the city's sinking is a result of centuries of exploitation of the groundwater," the report says. "Because Mexico City and its surrounds were built on an ancient lake bed, the soil beneath the city is extremely soft. When water is pumped out of the aquifer below, this clay-like earth compacts, resulting in a city that is quietly sinking."

The crisis is also self-reinforcing: as the city sinks, aging pipes crack and leak, causing Mexico City to lose an estimated 40% of its water, even as drought and climate change make supplies more fragile.

Longtime Slashdot reader cellocgw writes: Hiding inside another layoff report, Fidelity is reorganizing: "The changes are aimed at moving the teams away from an 'agile' makeup -- comprising smaller, siloed squads -- and toward larger teams built to move faster on projects." OMG, as they say: "Sudden outbreak of common sense." According to the Boston Globe, Fidelity is cutting about 1,000 jobs even as it plans to hire roughly 5,300 new workers, many of them early-career engineers. Half of the 3,300 new workers hired this year "will be in tech or product-related roles," the report says, noting that "about 2,000 of those jobs are currently open, and 400 of them are in tech/product-delivery."

"The company also plans to add almost 2,000 new early-career workers, with the goal of making the tech and product-delivery teams more hands-on. In all, that means roughly 5,300 new jobs in the pipeline for Fidelity." The company says AI isn't driving the shift; as cellocgw noted, it's about moving toward larger teams that Fidelity says can move faster on priority projects.

The financial services firm also reported a strong 2025 under CEO Abigail Johnson, with managed assets rising 19% from 2024 to $7.1 trillion and revenue climbing 15% to $37.7 billion. "Throughout the company's history, our investments in technology have fueled our growth and customer service capabilities," Johnson wrote in a letter (PDF) included in the company's annual report. "We will continue to prioritize technology initiatives that help us advance digital capabilities, simplify our technology ecosystem, and protect the firm and our customers."

An anonymous reader quotes a report from Wired: Security researcher Dor Zvi and his team at the cybersecurity firm he cofounded, RedAccess, analyzed thousands of vibe-coded web applications created using the AI software development tools Lovable, Replit, Base44, and Netlify and found more than 5,000 of them that had virtually no security or authentication of any kind. Many of these web apps allowed anyone who merely finds their web URL to access the apps and their data. Others had only trivial barriers to that access, such as requiring that a visitor sign in with any email address. Around 40 percent of the apps exposed sensitive data, Zvi says, including medical information, financial data, corporate presentations, and strategy documents, as well as detailed logs of customer conversations with chatbots.

"The end result is that organizations are actually leaking private data through vibe-coding applications," says Zvi. "This is one of the biggest events ever where people are exposing corporate or other sensitive information to anyone in the world." Zvi says RedAccess' scouring for vulnerable web apps was surprisingly easy. Lovable, Replit, Base44, and Netlify all allow users to host their web apps on those AI companies' own domains, rather than the users'. So the researchers used straightforward Google and Bing searches for those AI companies' domains combined with other search terms to identify thousands of apps that had been vibe coded with the companies' tools.

Of the 5,000 AI-coded apps that Zvi says were left publicly accessible to anyone who simply typed their URLs into a browser, he found close to 2,000 that, upon closer inspection, seemed to reveal private data: Screenshots of web apps he shared with WIRED -- several of which WIRED verified were still online and exposed -- showed what appeared to be a hospital's work assignments with the personally identifiable information of doctors, a company's detailed ad purchasing information, what appeared to be another firm's go-to-market strategy presentation, a retailer's full logs of its chatbot's conversations with customers, including the customers' full names and contact information, a shipping firm's cargo records, and assorted sales and financial records from a variety of other companies. In some cases, Zvi says, he found that the exposed apps would have allowed him to gain administrative privileges over systems and even remove other administrators. In the case of Lovable, Zvi says he also found numerous examples of phishing sites that impersonated major corporations, including Bank of America, Costco, FedEx, Trader Joe's, and McDonald's, that appeared to have been created with the AI coding tool and hosted on Lovable's domain. "Anyone from your company at any moment can generate an app, and this is not going through any development cycle or any security check," Zvi says. "People can just start using it in production without asking anyone. And they do."

An anonymous reader quotes a report from 404 Media: Skyrocketing hard drive and storage costs caused by the AI data center boom are making it more expensive and more difficult for digital archivists, academics, Wikipedia, and hobby data hoarders to save data and archive the internet. Specific drives favored by some high profile organizations like the Internet Archive have become far more expensive or are difficult to find at all, archivists said. Over the last several months, prices for both consumer level and enterprise solid state drives, hard drives, and other types of storage have skyrocketed. As an example, a 2TB external Samsung SSD I purchased last fall for $159 now costs $575. PC Part Picker, a website that tracks the average price of different types of drives, shows a universal increase in storage prices starting in about October of last year. Prices of many of the drives it tracks have doubled or increased by more than 150 percent, and at some stores SSDs and hard drives are simply sold out. There is now even a secondary market for some SSDs, with people scalping them on eBay and elsewhere.

Brewster Kahle, founder of the Internet Archive and the Wayback Machine, the most important archiving projects in the history of the internet, told 404 Media that the skyrocketing costs of storage is "a very real issue costing us time and money." "We have found that the preferred 28-30TB drives are just not available or at very high price," Kahle said. "We gather over 100 terabytes of new materials each day, and we have over 210 Petabytes of materials already archived on machines that need continuous upgrades and maintenance, so we need to constantly get new hard drives." "We are fortunate to have an active community that donates to the Archive, and we are also looking for help from hard drive manufacturers in these difficult times. We are always looking for more help," he added. "So far we have ways to work around these shortages, but it is a very real issue causing us time and money."

The Wikimedia Foundation, which runs Wikipedia and various other projects, including Wikimedia Commons, an open repository of royalty free media, told 404 Media that the cost of storage has become a concern for the foundation's projects as well. "With over 65 million articles on Wikipedia alone, access to server and storage capacity is vital to us. We've certainly seen price increases since the end of 2025. These price increases are of concern to us, as with every other player in the industry. We see the primary impact in the purchase of memory and hard drives but also in terms of lead times on server deliveries and our capacity to place future orders," a Wikimedia Foundation spokesperson told us. "The Wikimedia Foundation is a non-profit, and as such how we allocate budget is very carefully considered. We maintain our own data centers to serve our users from all over the world. We're putting workarounds in place where we can, mainly involving being smart with how we prioritize investment in hardware, building in flexibility as well as extending the life of existing hardware where possible."

Western Digital, one of the largest manufacturers of hard drives and other storage systems, said that it has essentially sold out of its 2026 inventory to enterprise clients, many of which run data centers. Micron, which made RAM and SSDs under the brand name Crucial, has exited the consumer market altogether because "AI-driven growth in the data center has led to a surge in demand for memory and storage. Micron has made the difficult decision to exit the Crucial consumer business in order to improve supply and support for our larger, strategic customers in faster-growing segments."

An anonymous reader quotes a report from CNBC: OpenAI President Greg Brockman concluded his testimony on Tuesday, where he largely rebutted Elon Musk's account of the early years of the startup and negotiations that occurred at the company. Brockman testified that he never made any commitments to Musk about the company's corporate structure, and he never heard anyone else make them. He emphasized that OpenAI is still governed by a nonprofit. "This entity remains a nonprofit," Brockman said, referring to the OpenAI foundation. "It is the best-resourced nonprofit in the world." [...] Brockman, who spoke from the witness stand in federal court in Oakland, California, over the course of two days, also revealed that Musk had enlisted several OpenAI employees to do months of free work for him at Tesla, Musk's electric vehicle company. That work mainly included efforts to overhaul the company's approach to developing self-driving technology as part of the Autopilot team there in 2017. During his two days on the stand, Brockman answered questions about his personal financial ambitions, his understanding of OpenAI's structure and Musk's involvement at the company, which they co-founded with other executives in 2015.

In Musk's testimony last week, the Tesla and SpaceX CEO said that the time, money and resources he poured into OpenAI had been integral to the company's success. He repeatedly said that he helped recruit the company's top talent. Brockman said Tuesday that while Musk was helpful in convincing some employees to take the leap to join OpenAI, he was a polarizing figure for others. "Elon had a reputation of being an extremely hard driver," Brockman said. He added that "certain candidates were very attracted" by Musk's involvement at OpenAI, and that "certain candidates were very turned off." Musk testified last week that a former OpenAI researcher named Andrej Karpathy joined Tesla, but only after he had planned to leave the startup already. Brockman said that Musk, after he hired Karpathy, approached him with "an apology and a confession," about the hire, and that neither Musk nor Karpathy had told him the researcher planned to leave OpenAI before that. Musk was generally not very available for meetings and conversations, Brockman said, so he relied on employees, including Sam Teller and former OpenAI board member Shivon Zilis, as proxies. Brockman testified that open sourcing OpenAI's technology was "not a topic of conversation" during Musk's time with the nonprofit, despite Musk's claims that it was supposed to be central to the organization. He also described tense 2017 negotiations over a possible for-profit arm, saying Musk became angry when equity stakes were discussed. "He said Musk declined the proposal during an in-person meeting, then tore a painting of a Tesla Model 3 car off the wall, and began storming out of the room," reports CNBC. He also demanded to know when the cofounders would leave the company.

Brockman further said Musk wanted control of OpenAI because he disliked situations where he lacked control, citing Zip2 and SolarCity as examples Musk had raised. He also testified that Musk partly wanted control to help fund his broader SpaceX ambition of building a "city on Mars."

CNBC notes the trial will resume at 8:30 a.m. PT on Wednesday, with Shivon Zilis expected to testify. She is the mother of four of Musk's children and a former OpenAI board member.

Recap:
OpenAI President Discloses His Stake In the Company Is Worth $30 Billion (Day Five)
Musk Concludes Testimony At OpenAI Trial (Day Four)
Elon Musk Says OpenAI Betrayed Him, Clashes With Company's Attorney (Day Three)
Musk Testifies OpenAI Was Created As Nonprofit To Counter Google (Day Two)
Elon Musk and OpenAI CEO Sam Altman Head To Court (Day One)

Gartner says some VMware customers may find it cheaper to move certain Linux VM workloads to IBM mainframes than to adopt Broadcom's new VMware licensing, especially for fleets of hundreds of Linux VMs and mission-critical apps needing long-term stability. The Register reports: Speaking to The Register to discuss the analyst firm's mid-April publication, "The State of the IBM Mainframe in 2026," [Gartner Vice President Analyst Alessandro Galimberti] said some buyers in many fields are comparing mainframes to modern environments and deciding Big Blue's big iron comes out ahead. "I can build a multi-region cloud application, but things like data synchronization and high availability are things I need to build into application logic," he said. "The mainframe has that in the platform, which shields developers from complexity." He also thinks mainframes are ideally suited to workloads that need many years of transactional consistency and backward-compatibility.

That said, Galimberti doesn't recommend the mainframe for all applications. He said mission-critical applications that are unlikely to change much for a decade are best-suited to the machines, as are Linux applications because the open source OS runs on IBM's hardware. IBM also offers the z/VM hypervisor, which he says can make Linux "even better and more enterprise-ready." Which is why Galimberti thinks IBM's ecosystem is attractive to VMware users, especially those who operate a fleet of 500 to 700 Linux VMs. [...]

Committing to mainframes therefore means planning "to spend time negotiating price and renewal protections, rather than prioritizing the business value these solutions can deliver." Another downside is that mainframes pose clear lock-in risk, so users may hold back on useful customizations out of fear they make it harder to extricate themselves from the platform. Access to skills remains an issue, too, as kids these days mostly don't contemplate a career working with big iron. Galimberti sees more service providers investing in their mainframe programs, which might help. So does the availability of Linux.

AMD is preparing expanded HDMI 2.1 support for Linux, following earlier delays after the HDMI Forum rejected an open source implementation of HDMI 2.1 as proprietary technology. As GamingOnLinux reports, AMD developer Harry Wentland submitted a patch series to the Linux kernel mailing list, noting that it brings "HDMI FRL support to the amdgpu display driver" and that "DSC is still being tested and will be sent out later."

A forum post on Phoronix from an AMD driver developer also said "a full implementation will ultimately be available once the patches are ready and have completed compliance testing."

"So yesterday the Devteam (it is always the Devteam) released version 5.0 of legendary and venerable rogueike compuer game NetHack," writes the Rogue-like games column @Play. "It is 39 years old..."

MilenCent (Slashdot reader #219,397) writes: In addition to play changes it's left for players to discover, this version updates the code to compile with C99, makes it much easier to cross compile the code for other systems than the one running, and now uses Lua for its dungeon generation. Happy hacking!
For new players, "Nethack 5.0 now has an optional tutorial in the early phases of the game that might help you," notes the Rogue-like games column @Play: Three systems binaries are provided: Windows, MS-DOS and Amiga. Yes, Nethack still supports MS-DOS, and yes, it still supports classic Amiga: it explicitly supports AmigaDOS 3.0, meaning it can still run on 68000 machines... That these are the only systems they provide binaries for shouldn't be seen as an indication that these are the "most important" platforms for Nethack, it's more that, since it's entirely open source, building it yourself is entirely possible, and more expected than with most software. Nethack can be built for Linux, Windows 8-11, AmigaDOS, MacOS (I'm not sure if this includes classic Mac too but it might), Windows CE (wow), OS/2 (additional wow), BeOS, VMS and multiple Unixes... Another option is to play through public Nethack servers. The most popular of these are probably alt.org and Hardfought.

"Vibe coding just got a whole lot more adorable," writes Engadget: OpenAI introduced AI-generated pets to the Codex app, its agentic tool that helps with coding. These "optional animated companions" don't do any coding themselves, but serve as a floating overlay that can tell you what Codex is working on, notify you when Codex completes a task or whether it needs your input on something. The new feature lets developers see Codex's active thread, without having to switch away from your current open app.
"The feature ships with eight built-in variations — including a cat and dog," reports Mashable. "But the more interesting play is the custom pet creator." Users can prompt Codex directly to generate their own companion, then share it online. A quick scroll through the homepage reveals the community has already gotten to work. Current creations include Goku, Patrick Star, Microsoft's long-retired Clippy, OpenAI CEO Sam Altman, Anthropic CEO Dario Amodei, and — naturally — a goblin.
There's also Grogu, Dobby, a tiny Bob Rossi, and a "Doge-style Shiba Inu dog"...

The Wall Street Journal reports that OpenAI "recently gave its popular ChatGPT strict instructions. Stop talking about goblins." Recent models of the artificial-intelligence chatbot have been bringing up the creatures in conversations with users seemingly out of the blue, as well as gremlins, trolls and ogres. The goblin-speak caught the attention of programmers, who are often heavy users of the bot. Barron Roth, a 32-year-old product manager at a tech company, said the bot referred to a flaw in his code as a "classic little goblin." He said he counted more than 20 times it mentioned goblins, without any prompting...

Several users speculated that goblin terminology was how the model characterized itself, in lieu of identifying as a person with a soul. Then OpenAI decided enough was enough. "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," reads an open source line in ChatGPT's base instructions for its coding assistant.
The Journal calls this "a reminder that even as AI companies tout one advance after another in their technology, they are sometimes baffled by the things their own models do...." While training a "nerdy" personality for their model's customization feature, "We unknowingly gave particularly high rewards for metaphors with creatures," OpenAI explained in a log post. And "From there, the goblins spread." When we looked, use of "goblin" in ChatGPT had risen by 175% after the launch of GPT-5.1, while "gremlin" had risen by 52%... With GPT-5.4, we and our usersâ noticed an even bigger uptick in references to these creatures... Nerdy accounted for only 2.5% of all ChatGPT responses, but 66.7% of all "goblin" mentions in ChatGPT responses... The rewards were applied only in the Nerdy condition, but reinforcement learning does not guarantee that learned behaviors stay neatly scoped to the condition that produced them. Once a style tic is rewarded, later training can spread or reinforce it elsewhere, especially if those outputs are reused in supervised fine-tuning or preference data.
It all started because the "nerdy" personality's prompt had said "You must undercut pretension through playful use of language. The world is complex and strange, and its strangeness must be acknowledged, analyzed, and enjoyed..." Now OpenAI calls this "a powerful example of how reward signals can shape model behavior in unexpected ways, and how models can learn to generalize rewards in certain situations to unrelated ones."

But "fans of goblins don't have to fear," notes the Wall Street Journal. "OpenAI provided a command in its blog post that would remove its creature-suppressing instructions."