The XB-1, a civilian supersonic jet developed by Boom Supersonic, successfully broke the sound barrier during a test flight over the Mojave Desert. It reached an altitude of 35,290 feet before accelerating to Mach 1.22, the company said in a press release. CBS News reports: It marks the first time an independently developed jet has broken the sound barrier, Boom Supersonic said, and the plane is the "first supersonic jet made in America." The sound barrier was broken for the first time in 1947, when Air Force pilot Capt. Chuck Yeager flew a rocket-propelled experimental aircraft across the Mojave Desert -- taking off from the Mojave Air and Space Port just as the XB-1 did. [...]

The company will next focus its attention on Overture, a supersonic airliner that will ultimately "bring the benefits of supersonic flight to everyone," Boom Supersonic founder and CEO Blake Scholl said in a statement. The XB-1 jet will be the foundation for Overture, Boom Supersonic said, and many features present on the jet will also be incorporated into the supersonic airliner. The airliner will also use Boom Supersonic's bespoke propulsion system, Symphony, to run on "up to 100% sustainable aviation fuel."

The company said the goal for the plane is for it to be able to carry between 64 and 80 passengers at Mach 1.7, or about 1,295 miles per hour. Existing subsonic airliners fly at between 550 and 600 miles per hour, according to charter company Bitlux. About 130 Overture planes have been pre-ordered, the company said. Airlines including American Airlines, United Airlines and Japan Airlines have placed pre-orders. The company finished building a "superfactory" in North Carolina in 2024, and will eventually produce 66 planes per year.

An anonymous reader quotes a report from Ars Technica: Apple-designed chips powering Macs, iPhones, and iPads contain two newly discovered vulnerabilities that leak credit card information, locations, and other sensitive data from the Chrome and Safari browsers as they visit sites such as iCloud Calendar, Google Maps, and Proton Mail. The vulnerabilities, affecting the CPUs in later generations of Apple A- and M-series chip sets, open them to side channel attacks, a class of exploit that infers secrets by measuring manifestations such as timing, sound, and power consumption. Both side channels are the result of the chips' use of speculative execution, a performance optimization that improves speed by predicting the control flow the CPUs should take and following that path, rather than the instruction order in the program. [...]

The researchers published a list of mitigations they believe will address the vulnerabilities allowing both the FLOP and SLAP attacks. They said that Apple officials have indicated privately to them that they plan to release patches. In an email, an Apple representative declined to say if any such plans exist. "We want to thank the researchers for their collaboration as this proof of concept advances our understanding of these types of threats," the spokesperson wrote. "Based on our analysis, we do not believe this issue poses an immediate risk to our users." FLOP, short for Faulty Load Operation Predictor, exploits a vulnerability in the Load Value Predictor (LVP) found in Apple's A- and M-series chipsets. By inducing the LVP to predict incorrect memory values during speculative execution, attackers can access sensitive information such as location history, email content, calendar events, and credit card details. This attack works on both Safari and Chrome browsers and affects devices including Macs (2022 onward), iPads, and iPhones (September 2021 onward). FLOP requires the victim to interact with an attacker's page while logged into sensitive websites, making it highly dangerous due to its broad data access capabilities.

SLAP, on the other hand, stands for Speculative Load Address Predictor and targets the Load Address Predictor (LAP) in Apple silicon, exploiting its ability to predict memory locations. By forcing LAP to mispredict, attackers can access sensitive data from other browser tabs, such as Gmail content, Amazon purchase details, and Reddit comments. Unlike FLOP, SLAP is limited to Safari and can only read memory strings adjacent to the attacker's own data. It affects the same range of devices as FLOP but is less severe due to its narrower scope and browser-specific nature. SLAP demonstrates how speculative execution can compromise browser process isolation.

Hugging Face researchers are attempting to recreate DeepSeek's R1 artificial intelligence model in an open-source format, just days after the Chinese AI lab's release sent markets soaring. The project, called Open-R1, aims to replicate R1's reasoning capabilities while making its training data and code publicly available. DeepSeek's R1 model, which matches or surpasses OpenAI's o1 on several benchmarks, was released with a permissive license but keeps its underlying architecture private. Hugging Face will use its research server with 768 Nvidia H100 GPUs for the effort.

In his latest Power On! newsletter, Apple analyst Mark Gurman called the company's new smart device "Apple's most significant release of the year because it's the first step toward a bigger role in the smart home." The device in question is rumored to be a new smart hub that could look like a HomePod with a seven-inch screen. Digital Trends reports: Gurman calls the new smart device a "smaller and cheaper iPad that lets users control appliances, conduct FaceTime chats and handle other tasks." It doesn't sound like the new hub will stand alone, though; Gurman goes on to say that it "should be followed by a higher-end version in a few years." That version should be able to pan and tilt to keep users in-frame during video calls, or just to keep the display visible as someone moves around the home.

[...] Other details are still known, like whether the device will use an original operating system. The overall plan is to make the new smart device the center of an Apple-based smart home and open the doors to a more conversational Siri.

Nvidia has responded to the market panic over Chinese AI group DeepSeek, arguing that the startup's breakthrough still requires "significant numbers of NVIDIA GPUs" for its operation. The US chipmaker, which saw more than $600 billion wiped from its market value on Monday, characterized DeepSeek's advancement as "excellent" but asserted that the technology remains dependent on its hardware.

"DeepSeek's work illustrates how new models can be created using [test time scaling], leveraging widely-available models and compute that is fully export control compliant," Nvidia said in a statement Monday. However, it stressed that "inference requires significant numbers of NVIDIA GPUs and high-performance networking." The statement came after DeepSeek's release of an AI model that reportedly achieves performance comparable to those from US tech giants while using fewer chips, sparking the biggest one-day drop in Nvidia's history and sending shockwaves through global tech stocks.

Nvidia sought to frame DeepSeek's breakthrough within existing technical frameworks, citing it as "a perfect example of Test Time Scaling" and noting that traditional scaling approaches in AI development - pre-training and post-training - "continue" alongside this new method. The company's attempt to calm market fears follows warnings from analysts about potential threats to US dominance in AI technology. Goldman Sachs earlier warned of possible "spillover effects" from any setbacks in the tech sector to the broader market. The shares stabilized somewhat in afternoon trading but remained on track for their worst session since March 2020, when pandemic fears roiled markets.

Chinese AI startup DeepSeek has launched Janus Pro, a new family of open-source multimodal models that it claims outperforms OpenAI's DALL-E 3 and Stable Diffusion's offering on key benchmarks. The models, ranging from 1 billion to 7 billion parameters, are available on Hugging Face under an MIT license for commercial use.

The largest model, Janus Pro 7B, surpasses DALL-E 3 and other image generators on GenEval and DPG-Bench tests, despite being limited to 384 x 384 pixel images.

Two computer scientists at the University of Waterloo in Canada believe changing 30 lines of code in Linux "could cut energy use at some data centers by up to 30 percent," according to the site Data Centre Dynamics.

It's the code that processes packets of network traffic, and Linux "is the most widely used OS for data center servers," according to the article: The team tested their solution's effectiveness and submitted it to Linux for consideration, and the code was published this month as part of Linux's newest kernel, release version 6.13. "All these big companies — Amazon, Google, Meta — use Linux in some capacity, but they're very picky about how they decide to use it," said Martin Karsten [professor of Computer Science in the Waterloo's Math Faculty]. "If they choose to 'switch on' our method in their data centers, it could save gigawatt hours of energy worldwide. Almost every single service request that happens on the Internet could be positively affected by this."

The University of Waterloo is building a green computer server room as part of its new mathematics building, and Karsten believes sustainability research must be a priority for computer scientists. "We all have a part to play in building a greener future," he said. The Linux Foundation, which oversees the development of the Linux OS, is a founder member of the Green Software Foundation, an organization set up to look at ways of developing "green software" — code that reduces energy consumption.
Karsten "teamed up with Joe Damato, distinguished engineer at Fastly" to develop the 30 lines of code, according to an announcement from the university. "The Linux kernel code addition developed by Karsten and Damato was based on research published in ACM SIGMETRICS Performance Evaluation Review" (by Karsten and grad student Peter Cai).

Their paper "reviews the performance characteristics of network stack processing for communication-heavy server applications," devising an "indirect methodology" to "identify and quantify the direct and indirect costs of asynchronous hardware interrupt requests (IRQ) as a major source of overhead...

"Based on these findings, a small modification of a vanilla Linux system is devised that improves the efficiency and performance of traditional kernel-based networking significantly, resulting in up to 45% increased throughput..."

As spotted by Tom's Hardware, Nvidia's CUDA 12.8 release notes signal the transition of Maxwell, Pascal, and Volta GPUs to the legacy driver branch. As a result, there will be no more new feature updates for these architectures; however, CUDA and gaming driver support will remain for now. From the report: It's crucial to highlight that this has nothing to do with GeForce gaming driver support. In fact, Maxwell and Pascal continue to be on the support list for the GeForce RTX series driver, unlike Kepler. Nvidia didn't detail whether or when it'll drop support for Maxwell, Pascal, and Volta GPUs for the gaming driver.

Nvidia has not issued an exact date for the end of full support for these three GPU architectures, but it will soon. The current CUDA toolkit still supports the three affected architectures, but they won't receive future updates. Once the move goes through, the only remaining GTX-series GPUs with full support will be the GTX 16-series, based on the RTX 20-series' Turing architecture.

An anonymous reader quotes a report from SFGATE: The same morning that JetBlue Airways announced that it was the first airline partnering with Venmo to begin accepting payments for booking flights, an account on the popular payment platform was already raking in money. A Venmo user named Owen Miller paid the JetBlue Checkpoint Store for a drink on Wednesday morning, which is a typical transaction between a traveler and airline, except for the fact that JetBlue doesn't operate that account. "At this time, JetBlue does not accept Venmo payment for inflight purchases such as food and beverages," a representative for the airline told SFGATE in an email. "Unfortunately, we have seen accounts falsely representing themselves as JetBlue to deceive and defraud customers." To stay safe from scammers when booking JetBlue flights with Venmo, the airline recommends customers only use verified JetBlue channels, such as their official website or app, and follow their secure payment process using the provided QR code. JetBlue said it plans to fold Venmo payments into its mobile app later this year.

Consumer spending on apps is projected to reach $150 billion globally in 2024, up 13% from the prior year. According to Sensor Tower's annual "State of Mobile" report, it's being fueled by a 200% surge in spending on generative AI apps like ChatGPT and Gemini, which collectively drew $1.1 billion. TechCrunch reports: If this rate of growth is sustained, this category of apps could move into the top 10 by consumer spending within a year, the firm notes. Though the release of new AI models, like OpenAI's GPT-4o last summer, helped drive app revenue up to record numbers at times, consumer demand for AI apps was consistent throughout the year -- not only during these peak surges. As a result, consumers spent nearly 7.7 billion hours using AI apps in 2024, while apps mentioning "AI" were also downloaded 17 billion times in the year.

ChatGPT alone reached 50 million monthly active users -- faster than Temu, Disney+, or YouTube Music, for comparison. This indicates there's still a growing appetite for AI apps and those with AI features.

OpenAI will release "Operator" this week, letting ChatGPT users automate web tasks through a built-in browser, The Information reported Wednesday. The feature handles restaurant bookings, travel planning, shopping and deliveries, asking follow-up questions like party size for reservations. Users can watch Operator work, take control mid-task, and share workflows with others.

Apple's upcoming updates -- macOS Sequoia 15.3, iOS 18.3, and iPadOS 18.3 -- will enable Apple Intelligence by default on compatible devices, requiring users to manually disable it if undesired. From Apple's developer release notes: "For users new or upgrading to iOS 18.3, Apple Intelligence will be enabled automatically during iPhone onboarding. Users will have access to Apple Intelligence features after setting up their devices. To disable Apple Intelligence, users will need to navigate to the Apple Intelligence & Siri Settings pane and turn off the Apple Intelligence toggle. This will disable Apple Intelligence features on their device." MacRumors reports: With macOS Sequoia 15.1, macOS Sequoia 15.2, iOS 18.1, and iOS 18.2, Apple Intelligence was opt-in rather than opt-out, and users who wanted the feature needed to turn it on in the Settings app. Going forward, it will be enabled by default, and Mac, iPhone, and iPad users who do not want to use the feature will need to turn it off. The report notes that macOS Sequoia 15.3 introduces Genmoji, allowing Mac users to create custom emoji characters, and enhances Notification summaries with clearer indicators for AI-generated information.

Public releases of this and other software updates are expected next week, following today's release candidate versions.

BrianFagioli shares a report from BetaNews: The Wine team has officially released Wine 10.0, marking a full year of extensive development with over 6,000 changes. This stable release introduces major updates designed to enhance performance, compatibility, and visual experience when running Windows applications on Linux and other non-Windows platforms. Here's a list of the new changes and features:

- Full ARM64EC Support: Now on par with ARM64, allowing the creation of hybrid ARM64X modules blending ARM64EC and ARM64 code in a single binary.
- 64-bit x86 Emulation: Leverages ARM64EC to run internal processes natively, reducing the need for resource-intensive emulation.
- High-DPI Scaling Overhaul: Automatic adjustments for non-DPI-aware applications on high-resolution displays with customizable compatibility flags.
- Vulkan Improvements: Support for Vulkan child window rendering under X11 and compatibility with Vulkan 1.4.303.
- Direct3D Updates: Fixed-function pipeline for legacy Direct3D versions and introduced Dynamic Vulkan extensions to reduce stuttering.
- Experimental FFmpeg Backend: Better multimedia playback for applications with complex media pipelines.
- New Display Configuration Tool: Allows inspection and modification of settings, including virtual desktop resolutions.
- Wayland Graphics Driver: Enabled by default on Linux, with support for OpenGL and improved popup window placement (X11 takes precedence unless disabled).
- Input Device Improvements: Enhanced touchscreen support for X11 and expanded Bluetooth functionality.
- Internationalization Enhancements: Updated Unicode character tables and timezone data for better global compatibility.
- Upgraded Libraries: Includes FluidSynth, LibPng, and Vkd3d, alongside new developer tools like the Clang Static Analyzer and improved ARM64 support for C++ exceptions.

You can download Wine 10.0 and learn more about the release here.

An anonymous reader quotes a report from Ars Technica: On Monday, Chinese AI lab DeepSeek released its new R1 model family under an open MIT license, with its largest version containing 671 billion parameters. The company claims the model performs at levels comparable to OpenAI's o1 simulated reasoning (SR) model on several math and coding benchmarks. Alongside the release of the main DeepSeek-R1-Zero and DeepSeek-R1 models, DeepSeek published six smaller "DeepSeek-R1-Distill" versions ranging from 1.5 billion to 70 billion parameters. These distilled models are based on existing open source architectures like Qwen and Llama, trained using data generated from the full R1 model. The smallest version can run on a laptop, while the full model requires far more substantial computing resources.

The releases immediately caught the attention of the AI community because most existing open-weights models -- which can often be run and fine-tuned on local hardware -- have lagged behind proprietary models like OpenAI's o1 in so-called reasoning benchmarks. Having these capabilities available in an MIT-licensed model that anyone can study, modify, or use commercially potentially marks a shift in what's possible with publicly available AI models. "They are SO much fun to run, watching them think is hilarious," independent AI researcher Simon Willison told Ars in a text message. Willison tested one of the smaller models and described his experience in a post on his blog: "Each response starts with a ... pseudo-XML tag containing the chain of thought used to help generate the response," noting that even for simple prompts, the model produces extensive internal reasoning before output. Although the benchmarks have yet to be independently verified, DeepSeek reports that R1 outperformed OpenAI's o1 on AIME (a mathematical reasoning test), MATH-500 (a collection of word problems), and SWE-bench Verified (a programming assessment tool).

TechCrunch notes that three Chinese labs -- DeepSeek, Alibaba, and Moonshot AI's Kimi, have released models that match o1's capabilities.

"Nothing horrible or unexpected happened last week," Linux Torvalds posted tonight on the Linux kernel mailing list, "so I've tagged and pushed out the final 6.13 release."

Phoronix says the release has "plenty of fine features": Linux 6.13 comes with the introduction of the AMD 3D V-Cache Optimizer driver for benefiting multi-CCD Ryzen X3D processors. The new AMD EPYC 9005 "Turin" server processors will now default to AMD P-State rather than ACPI CPUFreq for better power efficiency....

Linux 6.13 also brings more Rust programming language infrastructure and more.
Phoronix notes that Linux 6.13 also brings "the start of Intel Xe3 graphics bring-up, support for many older (pre-M1) Apple devices like numerous iPads and iPhones, NVMe 2.1 specification support, and AutoFDO and Propeller optimization support when compiling the Linux kernel with the LLVM Clang compiler."

And some lucky Linux kernel developers will also be getting a guitar pedal soldered by Linus Torvalds himself, thanks to a generous offer he announced a week ago: For _me_ a traditional holiday activity tends to be a LEGO build or two, since that's often part of the presents... But in addition to the LEGO builds, this year I also ended up doing a number of guitar pedal kit builds ("LEGO for grown-ups with a soldering iron"). Not because I play guitar, but because I enjoy the tinkering, and the guitar pedals actually do something and are the right kind of "not very complex, but not some 5-minute 555 LED blinking thing"...

[S]ince I don't actually have any _use_ for the resulting pedals (I've already foisted off a few only unsuspecting victims^Hfriends), I decided that I'm going to see if some hapless kernel developer would want one.... as an admittedly pretty weak excuse to keep buying and building kits...
"It may be worth noting that while I've had good success so far, I'm a software person with a soldering iron. You have been warned... [Y]ou should set your expectations along the lines of 'quality kit built by a SW person who doesn't know one end of a guitar from the other.'"

The JavaScript runtime Node.js can execute TypeScript (Microsoft's JavaScript-derived language with static typing).

But now it can do it even better, explains Marco Ippolito of the Node.js steering committee: In August 2024 Node.js introduced a new experimental feature, Type Stripping, aimed at addressing a longstanding challenge in the Node.js ecosystem: running TypeScript with no configuration. Enabled by default in Node.js v23.6.0, this feature is on its way to becoming stable.

TypeScript has reached incredible levels of popularity and has been the most requested feature in all the latest Node.js surveys. Unlike other alternatives such as CoffeeScript or Flow, which never gained similar traction, TypeScript has become a cornerstone of modern development. While it has been supported in Node.js for some time through loaders, they relied heavily on configuration and user libraries. This reliance led to inconsistencies between different loaders, making them difficult to use interchangeably. The developer experience suffered due to these inconsistencies and the extra setup required... The goal is to make development faster and simpler, eliminating the overhead of configuration while maintaining the flexibility that developers expect...

TypeScript is not just a language, it also relies on a toolchain to implement its features. The primary tool for this purpose is tsc, the TypeScript compiler CLI... Type checking is tightly coupled to the implementation of tsc, as there is no formal specification for how the language's type system should behave. This lack of a specification means that the behavior of tsc is effectively the definition of TypeScript's type system. tsc does not follow semantic versioning, so even minor updates can introduce changes to type checking that may break existing code. Transpilation, on the other hand, is a more stable process. It involves converting TypeScript code into JavaScript by removing types, transforming certain syntax constructs, and optionally "downleveling" the JavaScript to allow modern syntax to execute on older JavaScript engines. Unlike type checking, transpilation is less likely to change in breaking ways across versions of tsc. The likelihood of breaking changes is further reduced when we only consider the minimum transpilation needed to make the TypeScript code executable — and exclude downleveling of new JavaScript features not yet available in the JavaScript engine but available in TypeScript...

Node.js, before enabling it by default, introduced --experimental-strip-types. This mode allows running TypeScript files by simply stripping inline types without performing type checking or any other code transformation. This minimal technique is known as Type Stripping. By excluding type checking and traditional transpilation, the more unstable aspects of TypeScript, Node.js reduces the risk of instability and mostly sidesteps the need to track minor TypeScript updates. Moreover, this solution does not require any configuration in order to execute code... Node.js eliminates the need for source maps by replacing the removed syntax with blank spaces, ensuring that the original locations of the code and structure remain intact. It is transparent — the code that runs is the code the author wrote, minus the types...
"As this experimental feature evolves, the Node.js team will continue collaborating with the TypeScript team and the community to refine its behavior and reduce friction. You can check the roadmap for practical next steps..."

America's Federal Trade Commission has been "raising antitrust concerns" about them for years, reports NBC News.

The latest? America's three largest drug middlemen "inflated the costs of numerous life-saving medications by billions of dollars over the past few years, the FTC said in a report Tuesday." The top pharmacy benefit managers (PBMs) — CVS Health's Caremark Rx, Cigna's Express Scripts and UnitedHealth Group's OptumRx — generated roughly $7.3 billion through price hikes over about five years starting in 2017, the FTC said. The "excess" price hikes affected generic drugs used to treat heart disease, HIV and cancer, among other conditions, with some increases more than 1,000% of the national average costs of acquiring the medications, the commission said. The FTC also said these so-called Big Three health care companies — which it estimates administer 80% of all prescriptions in the U.S. — are inflating drug prices "at an alarming rate, which means there is an urgent need for policymakers to address it...."

Some of the steepest drug markups were "hundreds and thousands of percent," according to Tuesday's report, which highlights just how profitable specialty drugs have become for the three leading PBMs. Cancer drugs alone made up nearly half of the $7.3 billion, the commission wrote, with multiple sclerosis medications accounting for another 25%. Dispensing highly marked-up specialty drugs was a massive income stream for the companies in 2021, the FTC found. Out of tens of thousands of drugs dispensed, the top 10 specialty generics alone made up nearly 11% of the companies' pharmacy-related operating income that year, the agency estimated. Across the 51 drugs the agency analyzed, the Big Three's price-markup revenue surged from $522 million in 2017 to $2.1 billion in 2021, the report said.
"The FTC found that 22 percent of specialty drugs dispensed by PBM-affiliated pharmacies were marked up by more than 1,000 percent," reports The Hill, "while 41 percent were marked up between 100 and 1,000 percent. Among those drugs marked up by more than 1,000 percent, half of them were marked up by more than 2,000 percent."

And the nonprofit site progressive news site Common Dreams shares some examples from the FTC's 60-page report: "For the pulmonary hypertension drug tadalafil (generic Adcirca), for example, pharmacies purchased the drug at an average of $27 in 2022, yet the Big Three PBMs marked up the drug by $2,079 and paid their affiliated pharmacies $2,106, on average, for a 30-day supply of the medication on commercial claims," the publication notes. That's a staggering average markup of 7,736%... The new analysis follows a July 2024 report that revealed Big Three PBM-affiliated pharmacies received 68% of the dispensing revenue generated by specialty drugs in 2023, a 14% increase from 2016...

Responding to the FTC report, Emma Freer, senior policy analyst for healthcare at the American Economic Liberties Project — a corporate accountability and antitrust advocacy group — said in a statement Tuesday that "the FTC's second interim report lays bare the blatant profiteering by PBM giants, which are marking up lifesaving drugs like cancer, HIV, and multiple sclerosis treatments by thousands of percent and forcing patients to pay the price."

GOG.com, a European digital distribution platform known for offering DRM-free video games, announced they've joined the European Federation of Game Archives, Museums and Preservation Projects (EFGAMP). From the release: "GOG was created with video game preservation in mind," said Maciej Golebiewski, Managing Director at GOG. "Classic games and the mission to safeguard them for future generations have always been at the core of our work. Over the past decade, we've honed our expertise in this area. The GOG Preservation Program, which ensures compatibility for over 100 games and delivers hundreds of enhancements, is just one example of this commitment. We were thrilled to see the Program warmly received not only by our players but also by our partners and the gaming industry as a whole."

Golebiewski further explained that GOG's role in preservation extends beyond its platform. He highlighted, "As a European company, we feel a responsibility to lead in preserving gaming heritage. Joining EFGAMP reinforces this commitment. Our next step is to expand institutional collaboration with museums and governmental and non-governmental organizations worldwide. We hope our experience will contribute meaningfully to their efforts. We are also discussing exciting new game preservation projects, which we look forward to sharing soon."

Executives and researchers leading Meta's AI efforts obsessed over beating OpenAI's GPT-4 model while developing Llama 3, according to internal messages unsealed by a court in one of the company's ongoing AI copyright cases, Kadrey v. Meta. From a report: "Honestly... Our goal needs to be GPT-4," said Meta's VP of Generative AI, Ahmad Al-Dahle, in an October 2023 message to Meta researcher Hugo Touvron. "We have 64k GPUs coming! We need to learn how to build frontier and win this race."

Though Meta releases open AI models, the company's AI leaders were far more focused on beating competitors that don't typically release their model's weights, like Anthropic and OpenAI, and instead gate them behind an API. Meta's execs and researchers held up Anthropic's Claude and OpenAI's GPT-4 as a gold standard to work toward. The French AI startup Mistral, one of the biggest open competitors to Meta, was mentioned several times in the internal messages, but the tone was dismissive. "Mistral is peanuts for us," Al-Dahle said in a message. "We should be able to do better," he said later.

Linux creator Linus Torvalds announced a playful giveaway for kernel contributors: he'll hand-build a guitar effects pedal for one lucky developer selected at random, using his holiday hobby skills with pedal kits. To qualify, developers must have a 2024 commit in Torvalds' kernel git tree and email him with the subject "I WANT A GUITAR PEDAL". He'll pick a winner at random, use his own money to buy a pedal kit from a company called Aion FX, and then 'build it with my own shaky little fingers, and send it to the victim by US postal services.'" The Register reports: The odd offer appeared in his weekly state-of-the-kernel post, which on Sunday US time informed the Linux world that release candidate (rc) seven for version 6.13 of the Linux kernel "is slightly bigger than normal, but considering the timing, it's pretty much where I would have expected, and nothing really stands out." Torvalds therefore expects version 6.13 to debut next week, meaning it will arrive after his preferred seven release candidates and without delays caused by the usual holiday-period slowdown. Torvalds then added a postscript in which he revealed that he often uses the holiday season to build LEGO, which he frequently receives for Christmas and his late December birthday.

He kept up that tradition last year, but "also ended up doing a number of guitar pedal kit builds" which he described as "LEGO for grown-ups with a soldering iron." [...] Torvalds doesn't play guitar, but did the builds "because I enjoy the tinkering, and the guitar pedals actually do something and are the right kind of "not very complex, but not some 5-minute 555 LED blinking thing.'" He enjoyed the experience and wants to build more pedals, so has decided to give one away to a random kernel developer -- both as an act of generosity and to "check to see if anybody actually ever reads these weekly rc announcements of mine." Torvalds rated his past pedal-building efforts a "good success so far" but warned entrants "I'm a software person with a soldering iron."

"I will test the result to the best of my abilities, and the end result may actually work ... but you should set your expectations along the lines of "quality kit built by a SW person who doesn't know one end of a guitar from the other.'"