Meta To Start Testing AI Subscription Services

1 week 5 days ago
Meta will begin testing paid subscriptions for its Meta AI app and website, with a $7.99/month Meta One Plus plan and a more capable $19.99/month Meta One Premium plan offering. The test will start next month in Singapore, Guatemala, and Bolivia as Meta looks for AI revenue beyond advertising while continuing to offer a free tier. CNBC reports: Naomi Gleit, the head of product at Meta, revealed the subscription testing in an Instagram video, announcing that the plans "give people who use Meta AI more to work with, more capacity, bigger, more complex requests, and more room to create for businesses and creators." Meta One Plus will cost $7.99 a month and the Meta One Premium plan will cost $19.99 a month, the company confirmed. The more expensive version offers users additional computing capacity to produce more comprehensive responses and other advanced features. The company will continue to provide a free version of the app and site. "We're offering premium tools that allow you to enhance presence, supercharge content, automate tasks, and protect your brand," Gleit said in the post. "We're also thinking about how to bring this all together in a way that makes sense."

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The Python on Microcontrollers Newsletter: subscribe for free

1 week 5 days ago
The Python for Microcontrollers Newsletter is the place for the latest news involving Python on hardware (microcontrollers AND single board computers like Raspberry Pi). This ad-free, spam-free weekly email is filled with CircuitPython, MicroPython, and Python information that you may have missed, all in one place! You get a summary of all the software, events, projects, and the latest hardware worldwide once a week, no […]
Anne Barela

Nvidia To Spend $150 Billion a Year In Taiwan

1 week 5 days ago
Nvidia CEO Jensen Huang says the company plans to spend around $150 billion a year in Taiwan, calling it the "epicenter of the AI revolution." "Four years ago, five years ago, Nvidia was spending about $10, $15 billion dollars a year in Taiwan. Now we're spending $100, going to $150 billion dollars in Taiwan each year," Huang said. Reuters reports: Huang was speaking at a launch celebration in Taipei for the chip company's planned Taiwan headquarters, which he said will break ground this year and aims to become operational in 2030. He did not provide a timeframe for the number of years the company plans to invest $150 billion. The Taiwan headquarters will bring Nvidia closer to TSMC, the world's largest contract chipmaker which makes many of the advanced semiconductors powering the trend towards AI and is a major supplier to the U.S. tech company. "Taiwan is booming," Huang said on stage at the celebration which was attended by his parents, wife, daughter and son in addition to around 1,000 employees. "Taiwan is the epicentre of the AI revolution. This is where the chips come, packaging comes, this is where the systems are made, this is where AI supercomputers were created. The number of partners we work with here in Taiwan, incredible."

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A USB-PD power supply for the Commodore 64

1 week 5 days ago
The PD-64 by SideProjectsLab is a plug & play, compact replacement for the original Commodore-64 power supply. The PD-64 features high efficiency switching converters and is powered by a USB-PD wall adapter (not included). What sets the PD-64 apart from other similar switching power supplies is the fact that it delivers not only DC supply […]
Anne Barela

Rust Will Save Linux From AI, Says Greg Kroah-Hartman

1 week 5 days ago
Linux stable kernel maintainer Greg Kroah-Hartman says Rust can help Linux deal with a flood of AI-discovered security bugs (namely Dirty Frag, Copy Fail, and Fragnesia) by preventing common C mistakes around memory, locking, error handling, and untrusted data at build time rather than during human review. It's "not a silver bullet" and does not mean rewriting the whole kernel, but he said new drivers and subsystems will increasingly use Rust as Linux evolves forward. ZDNet reports: Kroah-Hartman illustrated those pitfalls with real C bugs in the kernel, including a 15-year-old Bluetooth bug that dereferenced a pointer without checking it and a Xen bug where "we forgot to unlock" in an error path. "The majority of the bugs in the kernel are this tiny, minor stuff," he explained. "Error conditions aren't checked, locks aren't forgotten, unreleased memories leak, and vulnerabilities add up over time. They crash the kernel. This is what we live with in C. This is why we don't like it." Kroah-Hartman argued that the "best beauty of Rust" is catching those mistakes at build time rather than in review. For example, when it comes to locking, he highlighted Rust's locking abstractions in the kernel: "The only way you can get access to inner pointers of structures is by grabbing that lock, and releasing the lock automatically. The compiler does it, it's guarded, the lock happens, everything's happy. You just can't write code to access these values...without grabbing the lock. The compiler will not let you." Those properties, he argued, directly remove a huge fraction of the bugs he sees: "This is going to save us those two things. First, 60% of the bugs in the kernel right there, they're gone. Thank you." The payoff is earlier, more automated enforcement: "If this happens at build time, not review time, don't make me a maintainer who has to read your code [and] say, 'Oh, then you properly check that error value. Oh, did you properly grab the locks in the right spot?' Rust gives us that for free. This is the best thing ever." Even if Rust vanished tomorrow, Kroah-Hartman argued, it has already forced the kernel to clean up C code and interfaces. He credited Rust's influence outright: "We stole this from Rust. Thank you. It's a good idea, so if Rust disappeared tomorrow, we have cleaned up the C code in the kernel so much and taken in the ideas. We thank you, you've made Linux better with it just by existing." [...] What ultimately sold a number of core maintainers, including him, on Rust was how it "makes reviewing code easier." With CI [Continuous Integration] bots enforcing builds and Rust's type system enforcing key invariants, maintainers can "focus on the logic" rather than resource bookkeeping: "I can care about that one function. I don't have to worry about the rest of this stuff, because I assume that it works properly, because it was built properly." Internally, he said, the top maintainers have already made their call on Rust's status: "The Linux kernel maintainers, we get together every year and talk about what the processes are doing. Last year, we said the Rust experiment is over. It's not an experiment. This is for real." The rationale: "The people behind it are real. We trust them. We know what they're doing. They've shown and put in the work to make Rust a viable language in the kernel, and we're going to make this stick. Let's go full speed ahead. And, as always," he said wryly, "world domination proceeds." "If you never remember anything else in my talk, just remember these four words. It came from Microsoft Security many, many years ago," Kroah-Hartman told attendees. "They realized all input is evil. You have to validate all input."

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Muxcard is a fully working computer the size of a credit card

1 week 5 days ago
krauseler on GitHub has developed the Muxcard, a fully working computer that is literally the size of a credit card. I’ve always been interested in extreme space constraints — but this one pushed it to another level. Products like AirTag-style card trackers and similar devices that claim to be “credit-card sized” are usually still far […]
Anne Barela

Monitoring High-Risk Pregnancies with a Wearable Ultrasound Patch

1 week 5 days ago
Researchers have developed a wearable patch to monitor high-risk pregnancies. It connects to a computer that interprets ultrasound data. Sheng Xu via Stanford University Researchers at Stanford Medicine, the University of California San Diego and Oxford University developed a wearable ultrasound patch to monitor high-risk pregnancies. Stanford University shares the details of their research and […]
Takara

The AI Fight Brewing Inside the New York Times

1 week 5 days ago
An anonymous reader quotes a report from The Verge: How newsrooms should use AI -- or if they should at all -- has been a recurrent debate within the media industry over the last several years. Increasingly, these rules are being hammered out at the bargaining table between unions and publishers. Right now, employees at The New York Times are gearing up for a fight. Unionized staff with the Tech Guild say Times management has refused to provide the union with information related to how the company has used AI, its plans for AI use in the future, and how it will affect employees' jobs and workflow. (The union filed an unfair labor practice charge earlier this month.) The Tech Guild, a NewsGuild of New York unit of around 700 software engineers, designers, product and project managers, and data analysts, also filed grievances saying Times management violated their collective bargaining agreement when it started using two internal AI tools that track and evaluate employee performance and activity. [...] Both the Tech Guild and the Times Guild (which represents 1,500 editorial, ad sales, and support staff at the Times) filed unfair labor practice charges against the Times, saying that company violated labor law by refusing to respond to their requests for information around AI use at the outlet. The Times did not respond to specific questions about how it uses DX and Glean, but spokesperson Danielle Rhoades Ha said in an email that the company disagrees with the characterizations made in grievances and that it would respond as part of its "normal contractual process." "Likewise, we will respond to this Request for Information (RFI) in due course as we've done with 80+ other RFIs from the Guild in recent years," Rhoades Ha said. The Times Guild is currently bargaining a new contract, pushing for robust protections against AI, like requirements that a human is behind any AI tool being used, that any journalism utilizing AI is transparently labeled, and that staff are compensated for AI model training deals the company might make. The Times deploys artificial intelligence tools for some reporting, like using it to parse millions of documents related to Jeffrey Epstein or scan satellite images of Gaza to try to find where Israel had dropped a specific kind of bomb. [...] [Ben Harnett, a software engineer at the Times and chair of the unit's generative AI committee] emphasizes that the unit's position is not that AI shouldn't ever be used, but that workers should have a say in how it's deployed. Metrics like how many tokens an employee uses or how often they're using AI to do their jobs create pressure to do more and incentives that don't align with doing quality work. "It's going to distract [you] from actually doing a good job, which is what we think the company should want," he says. Two of the contentious AI tools mentioned in the report are DX and Glean. DX is an engineering productivity tool that tracks a developer's output, generative AI use, efficiency, and other related metrics. Meanwhile, Glean is an internal knowledge-search tool that indexes materials like wikis, GitHub documents, Google Docs, and emails so employees can query company information. The concern, according to Times Tech Guild members, is that data meant to measure broader developer experience is now being applied to individuals and cited in performance or disciplinary contexts. There's also worry that it could be used to monitor individual contributions and produce false or misleading results.

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A voice codec for PCMFlow allowing two-way voice over ESP-NOW

1 week 5 days ago
PCMFlow is a lightweight audio decode and PCM flow library for Arduino. As is, voice audio had too high a bitrate for use in applications like ESP-NOW mesh networking. The G.722 wideband (HD voice) codec add-on for PCMFlow is aimed at real-time two-way voice over packet radio / network — VoIP, ESP-NOW transceivers, WebSocket / UDP voice links. […]
Anne Barela

An open source project coloring zine

1 week 5 days ago
Severin Schols of MakerVan Labs has created the open-source hardware OSHW Coloring Zine, a booklet with pictures and descriptions of various open source hardware projects. It’s perfect to colored in. The projects are: Arduino Uno (Rev3) Novena OpenROV EggBot Makerbot Cupcake Safecast bGeigie Nano Precious Plastic Injection Machine TV-B-Gone You can view the book as […]
Anne Barela

YouTube To Automatically Detect, Label AI-Generated Videos

1 week 5 days ago
YouTube will begin automatically labeling videos when its systems detect "significant" photorealistic AI use, while also making AI-content disclosures more visible below long-form videos and directly on Shorts. "We've heard consistently from our community that they value transparency when it comes to generative AI content," YouTube said in a blog post. "These changes are designed to balance transparency with creator control." Variety reports: Under YouTube's guidelines, creators will still be required to manually disclose when they use realistic AI. But starting this week, it also will roll out a new internal system to help identify AI-generated content. "If a creator doesn't specify whether or not they used AI, but our systems detect significant photorealistic AI use, we will now automatically apply a label," YouTube said. YouTube creators who believe their content was incorrectly flagged as AI-generated can modify the disclosure status using the YouTube Studio tool. However, according to YouTube, the AI labels will "remain permanent" in some cases, including for content created using YouTube's own AI tools (such as Veo or Dream Screen) and for content that contains C2PA metadata (based on standards from the Coalition for Content Provenance and Authenticity) that indicates it was fully AI-generated. In addition, YouTube is moving the disclosure label for photorealistic and meaningfully AI-altered or AI-generated content to a more prominent position. Until now, YouTube labeled AI content in a video's expanded description. Going forward, for long-form videos, the AI label will now appear directly below the video player and above the description. For YouTube Shorts, the label will appear as an overlay on the video itself. "The goal here is context at a glance. If it looks real but was made with AI, viewers will know immediately," said Rene Ritchie, YouTube head of editorial and creator liaison. He added that the AI labels alone "do not affect how our videos are recommended or whether they can earn money. This is purely about giving viewers the right information at the right time."

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LUNA – a toolkit for working with USB using FPGA technology

1 week 5 days ago
LUNA is a toolkit by Great Scott Gadgets for working with USB using FPGA technology, providing gateware and software to enable USB applications. Some things you can use LUNA for, currently: Protocol analysis for Low-, Full-, or High- speed USB. LUNA provides gateware that allow passive USB monitoring when combined with Cynthion and Packetry. Creating your own Low-, Full-, […]
Anne Barela

Move data between two devices via QR codes and an HTML page

1 week 5 days ago
ShadowCat is a fully offline, single-file HTML page for moving data between two devices via QR codes — intended for old phones whose radios (BLE, NFC, etc.) are dead but whose cameras and browsers still work. Generate — encode text into a single QR code. Scan — decode a single QR via the camera. Send file — pick […]
Anne Barela

White Rabbit provides sub-nanosecond accuracy and picoseconds precision of synchronization for large distributed systems

1 week 5 days ago
White Rabbit provides sub-nanosecond accuracy and picoseconds precision of synchronization for large distributed systems. It also allows for deterministic and reliable data delivery. White Rabbit allows you to precision time-tag measured data and lets you trigger data taking in large installations while at the same time using the same network to transmit data. sub-nanosecond synchronization […]
Anne Barela

Big Summer Book Club with the New York Public Library

1 week 5 days ago
Join the NYPL this summer with reading challenges and their first ever Big Summer Book Club. Anyone with a NYPL card can checkout the e-book version of N.K. Jemisin’s The City We Became, no wait times. See more and participate here! The culmination of the reading club is a celebration on August 17. Calling all […]
Ben

Roku Updates Its UI For the First Time In a Decade

1 week 5 days ago
Roku is rolling out its first major homescreen update in a decade. The UI doesn't look too dramatically different, but users will notice more personalization-driven changes, including frequently used apps, "top picks," household-specific layouts, and recommendations based on viewing habits. Rest assured, Engadget adds, "Everything is still in various shades of purple and Roku City is still available as a screensaver." From the report: Today's update certainly brings more clutter into the mix, including a new "marquee" ad spot that takes up a large chunk of the screen. It's worth remembering that Roku makes most of its money on ads and not its hardware. "More than 100 million households will feel the difference the moment they turn on their TV -- and it opens up a better, more powerful experience for our partners as well," CEO Anthony Wood wrote in a blog post. The update does bring one novel feature, according to The Hollywood Reporter. The company says the new homescreen platform will adapt to how households use Roku devices. This is to accommodate "multiple people living in homes." For instance, a child's bedroom TV might have a different homescreen than TV in the living room, and so forth. This expansion is rolling out right now to US-based customers, though it might take a while to reach every user. Roku says "additional countries will follow in the coming months."

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Tech CEOs Are Apparently Suffering From AI Psychosis

1 week 5 days ago
An anonymous reader quotes a report from TechCrunch: There is a certain wildness in the tech industry these days that both mimics previous eras of large changes, like cloud computing (runaway costs in the early days), and is like nothing we've ever seen before (record revenues accompanied by mass layoffs). One possible explanation: tech executives, especially CEOs, are collectively suffering from delusions of AI grandeur. And at least one tech CEO has said as much out loud: Box founder Aaron Levie. "CEOs are uniquely prone to AI psychosis because they're sufficiently distant from the last mile of work that still has to happen to generate most value with AI," Levie wrote on X. CEOs "play with AI," develop a prototype, or generate a contract, to use Levie's examples, and then make the leap to believing agents can do the work. But these top-level executives aren't the people who have to review code, discover bugs, and identify calls to hallucinated libraries before software is deployed. They aren't responsible for training AI models on a company's idiosyncratic contract terms, nor do they have to spend days combing through contracts to find sneaky terms, as Levie indicates. In other words, Levie's theory posits, CEOs don't really understand processes well enough to know what really can and can't be automated. But that lack of knowledge doesn't stop them from acting on their beliefs. [...] So what are CEOs to do instead? Levie advises CEOs to use AI "a ton" to really see what it can and can't do, "and come out the other side with an appreciation for both the upside and the real work."

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