AmiMoJo shares a report from Phoronix: Raspberry Pi prices are going up yet again due to the continued memory squeeze on the industry. To help offset the memory prices for some use-cases, Raspberry Pi also announced the introduction of the Raspberry Pi 4 3GB model at $83 to help fill the void between the 2GB and 4GB options.

The 3GB Raspberry Pi 4 was announced at $83.75 USD for those not needing quite 4GB of RAM and looking to save some memory given the ongoing price increases. The Raspberry Pi 4 and Raspberry Pi 5 4GB models are seeing new $25 price increases, the 8GB models seeing $50 price increases, and the 16GB Raspberry Pi 5 is going up by $100. The Raspberry Pi 500+ is seeing a $150 price increase. The Raspberry Pi Compute Modules are also seeing increases from $11.25 to $100 USD.

An anonymous reader quotes a report from Ars Technica: Google's Gemini AI models have improved by leaps and bounds over the past year, but you can only use Gemini on Google's terms. The company's Gemma open-weight models have provided more freedom, but Gemma 3, which launched over a year ago, is getting a bit long in the tooth. Starting today, developers can start working with Gemma 4, which comes in four sizes optimized for local usage. Google has also acknowledged developer frustrations with AI licensing, so it's dumping the custom Gemma license.

Like past versions of its open-weight models, Google has designed Gemma 4 to be usable on local machines. That can mean plenty of things, of course. The two large Gemma variants, 26B Mixture of Experts and 31B Dense, are designed to run unquantized in bfloat16 format on a single 80GB Nvidia H100 GPU. Granted, that's a $20,000 AI accelerator, but it's still local hardware. If quantized to run at lower precision, these big models will fit on consumer GPUs. Google also claims it has focused on reducing latency to really take advantage of Gemma's local processing. The 26B Mixture of Experts model activates only 3.8 billion of its 26 billion parameters in inference mode, giving it much higher tokens-per-second than similarly sized models. Meanwhile, 31B Dense is more about quality than speed, but Google expects developers to fine-tune it for specific uses.

The other two Gemma 4 models, Effective 2B (E2B) and Effective 4B (E4B), are aimed at mobile devices. These options were designed to maintain low memory usage during inference, running at an effective 2 billion or 4 billion parameters. Google says the Pixel team worked closely with Qualcomm and MediaTek to optimize these models for devices like smartphones, Raspberry Pi, and Jetson Nano. Not only do they use less memory and battery than Gemma 3, but Google also touts "near-zero latency" this time around. The Apache 2.0 license is much more flexible with its terms of use for commercial restrictions, "granting you complete control over your data, infrastructure, and models," says Google.

Clement Delangue, co-founder and CEO of Hugging Face, called it "a huge milestone" that will help developers use Gemma for more projects and expand what Google calls the "Gemmaverse."

"Just the anachronism of seeing Doom, one of the poster children for the moral panic around violent video games, on a Nintendo console is novel," writes Kotaku — especially with the console's underpowered "Super FX" coprocessor Hampered by a nearly unplayable framerate, especially in later levels, and mired by sacrifices, like altered levels, no floor or ceiling textures, and the entire fourth episode being cut, [1995's] Doom on the Super NES was not a good version of the game, but it was Doom running on the Super NES, and, for that alone, [programmer Randal] Linden's genius deserves recognition.
But then in 2022 when Audi Sorlie interviewed Linden on the YouTube show DF Retro, "Not really knowing where fate was going to take us, I asked [Linden] a throwaway question regarding the source code for Doom." If you ever worked on this again, Sorlie asked, would you make any improvements or do anything differently?"

"Yeah," Linden replied. "I have plenty of ideas if I could go back, but, you know, I don't think anyone's asking me to go back to Super Nintendo Doom and improve it."

A few years passed, and Sorlie joined Limited Run Games as lead producer for their development department. When LRG asked him to run down his craziest ideas, a new, improved release of Randal Linden's Doom loomed large. Convincing Linden was easy, and Sorlie said even the folks at license holder Bethesda were more amused than anything.

"You want to go back and develop for Super Nintendo?" they asked Sorlie. "Like, for real...?"

"The trick was actually pretty cool," Linden said. "It's right here." He pointed to a chip on the prototype SNES cartridge, similar to the one Limited Run sent me to test out the game. "It's a Raspberry Pi 2350." Super FX chips are no longer in production for obvious reasons, but with a clever bit of programming, Linden was able to load software onto the Raspberry Pi that fools the SNES into thinking the game has one. "The Super Nintendo doesn't know that it's not talking to a Super FX," he explained. When he programs for it, he writes code almost identical to what he'd write for an authentic Super FX chip.

"I had to go back and reverse-engineer my own code from 30 years ago," Linden laughed. "It's like, what was I doing here? And what was I doing there? Yeah, it was pretty tricky, some of the code. I was like, wow, I used to be very smart." The result of Linden's work? It's Doom, running right on a Super Nintendo, but it's smoother, packed with new content, and even includes rumble.

This week Raspberry Pi saw its stock price surge more than 60% above its early-February low (before giving up some gains at the end of the week). Reuters notes the rise started when CEO Eben Upton bought 13,224 pounds worth of shares — but there could be another reason. "The rally in the roughly $800 million company has materialised alongside social-media buzz that demand for its single-board computers could pick up as people buy them to run AI agents such as OpenClaw."

The Register explains: The catalyst appears to have been the sudden realization by one X user, "aleabitoreddit," that the agentic AI hand grenade known as OpenClaw could drive demand for Raspberry Pis the way it had for Apple Mac Minis. The viral AI personal assistant, formerly known as Clawdbot and Moltbot, has dominated the feeds of AI boosters over the past few weeks for its ability to perform everyday tasks like sending emails, managing calendars, booking appointments, and complaining about their meatbag masters on the purportedly all-agent forum known as MoltBook... In case it needs to be said, no one should be running this thing on their personal devices lest the agent accidentally leak your most personal and sensitive secrets to the web... In this context, a cheap low-power device like a Raspberry Pi makes a certain kind of sense as a safer, saner way to poke the robo-lobster...
The Register argues Raspberry Pis aren't as cheap as they used to be "thanks in part to the global memory crunch. Today, a top-specced Raspberry Pi 5 with 16GB of memory will set you back more than $200, up from $120 a year ago."

"You know what's cheaper, easier, and more secure than letting OpenClaw loose on your local area network? A virtual private cloud..."

The blog OMG Ubuntu reports that a new version of the Raspberry Pi 4 Model B has been (quietly) introduced. "The key difference? It now uses a dual-RAM configuration." The Raspberry Pi 4 Model B (PCB 13a) adopts a dual-RAM configuration to 'improve supply chain flexibility' and manufacturing efficiency, per a company product change notice document. Earlier versions of the Raspberry Pi 4 use a single RAM chip on the top of the board. The new revision adds a second LPDDR4 chip to the underside, with a couple of passive components also moved over... In moving to a dual-chip layout, Raspberry Pi can combine two smaller — and marginally cheaper — modules to hit the same RAM totals amidst fluctuating component costs...

This change will not impact performance (for better or worse). The Broadcom BCM2711 SoC has a 32-bit wide memory interface so the bandwidth stays identical; this is not doubling the memory bus, it's just a physical split, not a logical one. Plus, the new board is fully compatible with existing official accessories, HATs and add-ons. All operating systems that support the Pi 4 will work, but as the memory setup is different a new version of the boot-loader will need to be flashed first.

An anonymous reader shares a report: Raspberry Pi is launching a new add-on board capable of running generative AI models locally on the Raspberry Pi 5. Announced on Thursday, the $130 AI HAT+ 2 is an upgraded -- and more expensive -- version of the module launched last year, now offering 8GB of RAM and a Hailo 10H chip with 40 TOPS of AI performance.

Once connected, the Raspberry Pi 5 will use the AI HAT+ 2 to handle AI-related workloads while leaving the main board's Arm CPU available to complete other tasks. Unlike the previous AI HAT+, which is focused on image-based AI processing, the AI HAT+ 2 comes with onboard RAM and can run small gen AI models like Llama 3.2 and DeepSeek-R1-Distill, along with a series of Qwen models. You can train and fine-tune AI models using the device as well.

Longtime Slashdot reader ptorrone writes: The January 1, 2026, NYC mayoral inauguration prohibits attendees from bringing specific brand-name devices, explicitly banning Raspberry Pi single-board computers and the Flipper Zero, listed alongside weapons, explosives, and drones. Rather than restricting behaviors or capabilities like signal interference or unauthorized transmitters, the policy names two widely used educational and testing tools while allowing smartphones and laptops that are far more capable. Critics argue this device-specific ban creates confusion, encourages selective enforcement, and reflects security theater rather than a clear, capability-based public safety framework. New York has handled large-scale events more pragmatically before.

Even after its acquisition by Qualcomm, the EFF believes Arduino "isn't imposing any new bans on tinkering with or reverse engineering Arduino boards," (according to Mitch Stoltz, EFF director for competition and IP litigation). While Adafruit's managing editor Phillip Torrone had claimed to 36,000+ followers on LinkedIn that Arduino users were now "explicitly forbidden from reverse engineering," Arduino corrected him in a blog post, noting that clause in their Terms & Conditions was only for Arduino's Software-as-a-Service cloud applications. "Anything that was open, stays open."

And this week EE Times spoke to Guneet Bedi, SVP of Arduino, "who was unequivocal in saying that Arduino's governance structure had remained intact even after the acquisition." "As a business unit within Qualcomm, Arduino continues to make independent decisions on its product portfolio, with no direction imposed on where it should or should not go," Bedi said. "Everything that Arduino builds will remain open and openly available to developers, with design engineers, students and makers continuing to be the primary focus.... Developers who had mastered basic embedded workflows were now asking how to run large language models at the edge and work with artificial intelligence for vision and voice, with an open source mindset," he said. According to Bedi, this was where Qualcomm's technology became relevant. "Qualcomm's chipsets are high performance while also being very low power, which comes from their mobile and Android phone heritage. Despite being great technology, it is not easily accessible to design engineers because of cost and complexity. That made this a strong fit," he said.

The most visible outcome of this acquisition is Uno Q, which Bedi described as being comparable to a mid-tier Android phone in capability, starting at a price of $44. For Arduino, this marked a shift beyond microcontrollers without abandoning them. "At the end of the day, we have not gone away from our legacy," Bedi said. "You still have a real-time microcontroller, and you still write code the way Arduino developers are used to. What we added is compute, without forcing people to change how they work." Uno Q combines a Linux-based compute system with a real-time microcontroller from the STM32 family. "You do not need two different development environments or two different hardware platforms," Bedi added... Rather than introducing a customized operating system, Arduino chose standard Debian upstream. "We are not locking developers into anything," Bedi said. "It is standard Debian, completely open...." Pre-built models covering tasks like object detection and voice recognition run locally on the board....

While the first reference design uses Qualcomm silicon, Bedi was careful to stress that this does not define the roadmap. "There is zero dependency on Qualcomm silicon," he said. "The architecture is portable. Tomorrow, we can run this on something else." That distinction matters, particularly for developers wary of vendor lock-in following the acquisition. Uno Q does compete directly with platforms like Raspberry Pi and Nvidia Jetson, but Bedi framed the difference less in terms of raw performance and more in flexibility. "When you build on those platforms, you are locked to the board," he said. "Here, you can build a prototype, and if you like it, you can also get access to the chip and design your own hardware." With built-in storage removing the need for external components, Uno Q positions itself less as a faster board and more as a way to simplify what had become an increasingly messy development stack...

Looking a year ahead, Bedi believes developers should experience continuity rather than disruption. The familiar Arduino approach to embedded and real-time systems remains unchanged, while extending naturally into more compute-intensive applications... Taken together, Bedi's comments suggest that Arduino's post-acquisition direction is less about changing what Arduino is, and more about expanding what it can realistically be used for, without abandoning the simplicity that made it relevant in the first place.
"We want to redefine prototyping in the age of physical artificial intelligence," Bedi said...

Qualcomm has acquired RISC-V startup Ventana to strengthen its CPU ambitions beyond mobile, "reinforcing its commitment and leadership in the development of the RISC-V standard and ecosystem," the company said in a press release. CRN Magazine reports: The San Diego-based company said Ventana's expertise in RISC-V, a free and open alternative to the Arm and x86 instruction set architectures, will enhance its CPU engineering capabilities and complement "existing efforts to develop custom Oryon CPU technology." Financial terms of the deal were not disclosed.

Qualcomm, which has already been using RISC-V for some products outside the PC and server markets, said Ventana's contributions will boost its "technology leadership in the AI era across all businesses," indicating the broad impact expected by this acquisition. "We believe the RISC-V instruction set architecture has the potential to advance the frontier on CPU technology, enabling innovation across products," Durga Malladi, executive vice president and general manager of technology planning, edge solutions and data center for Qualcomm, said in a statement. "The acquisition of Ventana Micro Systems marks a pivotal step in our journey to deliver industry-leading RISC-V-based CPU technology across products."

Further reading: Qualcomm Is Buying Arduino, Releases New Raspberry Pi-Esque Arduino Board

It runs locally, a free/open source home automation platform connecting all your devices together, regardless of brand. And GitHub's senior developer calls it "one of the most active, culturally important, and technically demanding open source ecosystems on the planet," with tens of thousands of contributors and millions of installations.

That's confirmed by this year's "Octoverse" developer survey... Home Assistant was one of the fastest-growing open source projects by contributors, ranking alongside AI infrastructure giants like vLLM, Ollama, and Transformers. It also appeared in the top projects attracting first-time contributors, sitting beside massive developer platforms such as VS Code... Home Assistant is now running in more than 2 million households, orchestrating everything from thermostats and door locks to motion sensors and lighting. All on users' own hardware, not the cloud. The contributor base behind that growth is just as remarkable: 21,000 contributors in a single year...

At its core, Home Assistant's problem is combinatorial explosion. The platform supports "hundreds, thousands of devices... over 3,000 brands," as [maintainer Franck Nijhof] notes. Each one behaves differently, and the only way to normalize them is to build a general-purpose abstraction layer that can survive vendor churn, bad APIs, and inconsistent firmware. Instead of treating devices as isolated objects behind cloud accounts, everything is represented locally as entities with states and events. A garage door is not just a vendor-specific API; it's a structured device that exposes capabilities to the automation engine. A thermostat is not a cloud endpoint; it's a sensor/actuator pair with metadata that can be reasoned about.

That consistency is why people can build wildly advanced automations. Frenck describes one particularly inventive example: "Some people install weight sensors into their couches so they actually know if you're sitting down or standing up again. You're watching a movie, you stand up, and it will pause and then turn on the lights a bit brighter so you can actually see when you get your drink. You get back, sit down, the lights dim, and the movie continues." A system that can orchestrate these interactions is fundamentally a distributed event-driven runtime for physical spaces. Home Assistant may look like a dashboard, but under the hood it behaves more like a real-time OS for the home...

The local-first architecture means Home Assistant can run on hardware as small as a Raspberry Pi but must handle workloads that commercial systems offload to the cloud: device discovery, event dispatch, state persistence, automation scheduling, voice pipeline inference (if local), real-time sensor reading, integration updates, and security constraints. This architecture forces optimizations few consumer systems attempt.
"If any of this were offloaded to a vendor cloud, the system would be easier to build," the article points out. "But Home Assistant's philosophy reverses the paradigm: the home is the data center..."

As Nijhof says of other vendor solutions, "It's crazy that we need the internet nowadays to change your thermostat."

An anonymous reader quotes a report from Ars Technica: Some members of the maker community are distraught about Arduino's new terms of service (ToS), saying that the added rules put the company's open source DNA at risk. Arduino updated its ToS and privacy policy this month, which is about a month after Qualcomm announced that it's acquiring the open source hardware and software company. Among the most controversial changes is this addition: "User shall not: translate, decompile or reverse-engineer the Platform, or engage in any other activity designed to identify the algorithms and logic of the Platform's operation, unless expressly allowed by Arduino or by applicable license agreements ..."

In response to concerns from some members of the maker community, including from open source hardware distributor and manufacturer Adafruit, Arduino posted a blog on Friday. Regarding the new reverse-engineering rule, Arduino's blog said: "Any hardware, software or services (e.g. Arduino IDE, hardware schematics, tooling and libraries) released with Open Source licenses remain available as before. Restrictions on reverse-engineering apply specifically to our Software-as-a-Service cloud applications. Anything that was open, stays open."

But Adafruit founder and engineer Limor Fried and Adafruit managing editor Phillip Torrone are not convinced. They told Ars Technica that Arduino's blog leaves many questions unanswered and said that they've sent these questions to Arduino without response. "Why is reverse-engineering prohibited at all for a company built on openly hackable systems?" Fried and Torrone asked in a shared statement. There are also concerns about the ToS' broad new AI-monitoring powers, which offer little clarity on what data is collected, who can access it, or how long it's retained. On top of that, the update introduces an unusual patent clause that bars users from using the platform to identify potential infringement by Arduino or its partners, along with sweeping, perpetual rights over user-generated content. This could allow Arduino, and potentially Qualcomm, to republish, modify, monetize, or redistribute user uploads indefinitely.

"An engineer got curious about how his iLife A11 smart vacuum worked and monitored the network traffic coming from the device," writes Tom's Hardware.

"That's when he noticed it was constantly sending logs and telemetry data to the manufacturer — something he hadn't consented to." The user, Harishankar, decided to block the telemetry servers' IP addresses on his network, while keeping the firmware and OTA servers open. While his smart gadget worked for a while, it just refused to turn on soon after... He sent it to the service center multiple times, wherein the technicians would turn it on and see nothing wrong with the vacuum. When they returned it to him, it would work for a few days and then fail to boot again... [H]e decided to disassemble the thing to determine what killed it and to see if he could get it working again...

[He discovered] a GD32F103 microcontroller to manage its plethora of sensors, including Lidar, gyroscopes, and encoders. He created PCB connectors and wrote Python scripts to control them with a computer, presumably to test each piece individually and identify what went wrong. From there, he built a Raspberry Pi joystick to manually drive the vacuum, proving that there was nothing wrong with the hardware. From this, he looked at its software and operating system, and that's where he discovered the dark truth: his smart vacuum was a security nightmare and a black hole for his personal data.

First of all, it's Android Debug Bridge, which gives him full root access to the vacuum, wasn't protected by any kind of password or encryption. The manufacturer added a makeshift security protocol by omitting a crucial file, which caused it to disconnect soon after booting, but Harishankar easily bypassed it. He then discovered that it used Google Cartographer to build a live 3D map of his home. This isn't unusual, by far. After all, it's a smart vacuum, and it needs that data to navigate around his home. However, the concerning thing is that it was sending off all this data to the manufacturer's server. It makes sense for the device to send this data to the manufacturer, as its onboard SoC is nowhere near powerful enough to process all that data. However, it seems that iLife did not clear this with its customers.

Furthermore, the engineer made one disturbing discovery — deep in the logs of his non-functioning smart vacuum, he found a command with a timestamp that matched exactly the time the gadget stopped working. This was clearly a kill command, and after he reversed it and rebooted the appliance, it roared back to life.
Thanks to long-time Slashdot reader registrations_suck for sharing the article.

OpenBSD 7.8 has been released, adding Raspberry Pi 5 support, enhanced AMD Secure Encrypted Virtualization (SEV-ES) capabilities, and expanded hardware compatibility including new Qualcomm, Rockchip, and Apple ARM drivers. Phoronix reports: OpenBSD 7.8 also brings multiple improvements around enabling AMD Secure Encrypted Virtualization (AMD SEV) support with support for the PSP ioctl for encrypting and measuring state for SEV-ES, a new VMD option to run guests in SEV-ES mode, and other enablement work pertaining to that AMD SEV work in SEV-ES form at this point as a precursor to SEV-SNP. AMD SEV-ES should be working to start confidential virtual machines (VMs) when using the VMM/VMD hypervisor and the OpenBSD guests with KVM/QEMU.

OpenBSD 7.8 also improves compatibility of the FUSE file-system support with the Linux implementation, suspend/hibernate improvements, SMP improvements, updating to the Linux 6.12.50 DRM graphics drivers, several new Rockchip drivers, Raspberry Pi RP1 drivers, H.264 video support for the uvideo driver, and many network driver improvements. The changelog and download page can be found via OpenBSD.org.

An anonymous reader quotes a report from Ars Technica: Smartphone processor and modem maker Qualcomm is acquiring Arduino, the Italian company known mainly for its open source ecosystem of microcontrollers and the software that makes them function. In its announcement, Qualcomm said that Arduino would "[retain] its brand and mission," including its "open source ethos" and "support for multiple silicon vendors." Qualcomm didn't disclose what it would pay to acquire Arduino. The acquisition also needs to be approved by regulators "and other customary closing conditions."

The first fruit of this pending acquisition will be the Arduino Uno Q, a Qualcomm-based single-board computer with a Qualcomm Dragonwing QRB2210 processor installed. The QRB2210 includes a quad-core Arm Cortex-A53 CPU and a Qualcomm Adreno 702 GPU, plus Wi-Fi and Bluetooth connectivity, and combines that with a real-time microcontroller "to bridge high-performance computing with real-time control." "Arduino will retain its independent brand, tools, and mission, while continuing to support a wide range of microcontrollers and microprocessors from multiple semiconductor providers as it enters this next chapter within the Qualcomm family," Qualcomm said in its press release. "Following this acquisition, the 33M+ active users in the Arduino community will gain access to Qualcomm Technologies' powerful technology stack and global reach. Entrepreneurs, businesses, tech professionals, students, educators, and hobbyists will be empowered to rapidly prototype and test new solutions, with a clear path to commercialization supported by Qualcomm Technologies' advanced technologies and extensive partner ecosystem."

CNBC notes in its reporting that this acquisition gives Qualcomm "direct access to the tinkerers, hobbyists and companies at the lowest levels of the robotics industry." From the report: Arduino products can't be used to build commercial products but, with chips preinstalled, they're popular for testing out a new idea or proving a concept. Qualcomm hopes that Arduino can help it gain loyalty and legitimacy among startups and builders as robots and other devices increasingly need more powerful chips for artificial intelligence. When some of those experiments become products, Qualcomm wants to sell them its chips commercially.

Raspberry Pi has launched the Raspberry Pi 500 Plus for $200, more than doubling the $90 price of the standard model. The keyboard computer now includes an M.2 2280 SSD socket alongside the SD card slot, 256GB of storage and 16GB of LPDDR4x-4267 RAM instead of 8GB. The company added Gateron KS-33 Blue mechanical switches, replaceable low-profile keycaps finished to allow RGB lighting to shine through and an RP2040 microcontroller running QMK firmware.

The 500 Plus retains Wi-Fi 5, Bluetooth, gigabit Ethernet, two micro HDMI ports, three USB-A ports, and USB-C power from the base model. A $220 Desktop Kit bundles necessary cables, power supply, and mouse.

Hackers from the group UNC2891 attempted a high-tech bank heist by physically planting a 4G-enabled Raspberry Pi inside a bank's ATM network, using advanced malware hidden with a never-before-seen Linux bind mount technique to evade detection. "The trick allowed the malware to operate similarly to a rootkit, which uses advanced techniques to hide itself from the operating system it runs on," reports Ars Technica. Although the plot was uncovered before the hackers could hijack the ATM switching server, the tactic showcased a new level of sophistication in cyber-physical attacks on financial institutions. The security firm Group-IB, which detailed the attack in a report on Wednesday, didn't say where the compromised switching equipment was located or how attackers managed to plant the Raspberry Pi. Ars Technica reports: To maintain persistence, UNC2891 also compromised a mail server because it had constant Internet connectivity. The Raspberry Pi and the mail server backdoor would then communicate by using the bank's monitoring server as an intermediary. The monitoring server was chosen because it had access to almost every server within the data center. As Group-IB was initially investigating the bank's network, researchers noticed some unusual behaviors on the monitoring server, including an outbound beaconing signal every 10 minutes and repeated connection attempts to an unknown device. The researchers then used a forensic tool to analyze the communications. The tool identified the endpoints as a Raspberry Pi and the mail server but was unable to identify the process names responsible for the beaconing.

The researchers then captured the system memory as the beacons were sent. The review identified the process as lightdm, a process associated with an open source LightDM display manager. The process appeared to be legitimate, but the researchers found it suspicious because the LightDM binary was installed in an unusual location. After further investigation, the researchers discovered that the processes of the custom backdoor had been deliberately disguised in an attempt to throw researchers off the scent.

[Group-IB Senior Digital Forensics and Incident Response Specialist Nam Le Phuong] explained: "The backdoor process is deliberately obfuscated by the threat actor through the use of process masquerading. Specifically, the binary is named "lightdm", mimicking the legitimate LightDM display manager commonly found on Linux systems. To enhance the deception, the process is executed with command-line arguments resembling legitimate parameters -- for example, lightdm -- session child 11 19 -- in an effort to evade detection and mislead forensic analysts during post-compromise investigations. These backdoors were actively establishing connections to both the Raspberry Pi and the internal Mail Server."

Plasma Bigscreen, KDE's TV-focused interface, is being revived after years of inactivity thanks to contributor Devin, who overhauled the UI, redesigned the Settings app, improved app launching, and updated key modules. While still in progress -- with features like HDMI-CEC remote support and a virtual keyboard pending -- the project aims to rejoin KDE's official Plasma release schedule, potentially in version 6.5. Neowin reports: If you have not heard of it, Plasma Bigscreen is a Plasma shell for televisions, with original support for the now-defunct Mycroft AI assistant. It used to provide a simple launcher for apps and custom "Mycroft Skills" before development stalled, causing most distributions to drop it. The project was left behind during the big transition to Plasma 6 last year because no one had ported it in time for the megarelease. After a friend of his started poking at the code, Devin stepped in to tackle the much-needed work. [...]

For anyone who wants to test this out, you can do as Devin did by installing Plasma Bigscreen on a Raspberry Pi using postmarketOS, though you would have to compile it yourself or pull from the nightly repos to get the latest changes. Applications like Kodi and VacuumTube (smart TV version of YouTube) work well with remote navigation, and some games like SuperTuxKart are playable. Controller support exists, but getting TV remotes to work over HDMI CEC is still untested. The project is far from finished; it still needs an arrow-navigable virtual keyboard and a clearer long-term direction now that Mycroft is gone. Still, the goal is to get it back into the official Plasma release schedule, possibly for version 6.5.

An anonymous reader quotes a report from VentureBeat: Hugging Face, the $4.5 billion artificial intelligence platform that has become the GitHub of machine learning, announced Tuesday the launch of Reachy Mini, a $299 desktop robot designed to bring AI-powered robotics to millions of developers worldwide. The 11-inch humanoid companion represents the company's boldest move yet to democratize robotics development and challenge the industry's traditional closed-source, high-cost model.

The announcement comes as Hugging Face crosses a significant milestone of 10 million AI builders using its platform, with CEO Clement Delangue revealing in an exclusive interview that "more and more of them are building in relation to robotics." The compact robot, which can sit on any desk next to a laptop, addresses what Delangue calls a fundamental barrier in robotics development: accessibility. "One of the challenges with robotics is that you know you can't just build on your laptop. You need to have some sort of robotics partner to help in your building, and most people won't be able to buy $70,000 robots," Delangue explained, referring to traditional industrial robotics systems and even newer humanoid robots like Tesla's Optimus, which is expected to cost $20,000-$30,000.

Reachy Mini emerges from Hugging Face's April acquisition of French robotics startup Pollen Robotics, marking the company's most significant hardware expansion since its founding. The robot represents the first consumer product to integrate natively with the Hugging Face Hub, allowing developers to access thousands of pre-built AI models and share robotics applications through the platform's "Spaces" feature. [...] Reachy Mini packs sophisticated capabilities into its compact form factor. The robot features six degrees of freedom in its moving head, full body rotation, animated antennas, a wide-angle camera, multiple microphones, and a 5-watt speaker. The wireless version includes a Raspberry Pi 5 computer and battery, making it fully autonomous. The robot ships as a DIY kit and can be programmed in Python, with JavaScript and Scratch support planned. Pre-installed demonstration applications include face and hand tracking, smart companion features, and dancing moves. Developers can create and share new applications through Hugging Face's Spaces platform, potentially creating what Delangue envisions as "thousands, tens of thousands, millions of apps." Reachy Mini's $299 price point could significantly transform robotics education and research. "Universities, coding bootcamps, and individual learners could use the platform to explore robotics concepts without requiring expensive laboratory equipment," reports VentureBeat. "The open-source nature enables educational institutions to modify hardware and software to suit specific curricula. Students could progress from basic programming exercises to sophisticated AI applications using the same platform, potentially accelerating robotics education and workforce development."

"... For the first time, a major AI platform is betting that the future of robotics belongs not in corporate research labs, but in the hands of millions of individual developers armed with affordable, open-source tools."

An anonymous reader shares a report: One of the interesting projects engaged in by Mozilla that directly wasn't related to their web browser efforts was DeepSpeech, an embedded/offline speech-to-text engine. To not much surprise given the lack of activity in recent years, last week they finally and formally discontinued the open-source project.

Mozilla DeepSpeech was a promising speech-to-text engine with great performance for real-time communication even when running on Raspberry Pi SBCs and other low-power systems.

Rocky Linux 10 "Red Quartz" has reached general availability, notes a new article in The Register — surveying the differences between "RHELatives" — the major alternatives to Red Hat Enterprise Linux: The Rocky 10 release notes describe what's new, such as support for RISC-V computers. Balancing that, this version only supports the Raspberry Pi 4 and 5 series; it drops Rocky 9.x's support for the older Pi 3 and Pi Zero models...

RHEL 10 itself, and Rocky with it, now require x86-64-v3, meaning Intel "Haswell" generation kit from about 2013 onward. Uniquely among the RHELatives, AlmaLinux offers a separate build of version 10 for x86-64-v2 as well, meaning Intel "Nehalem" and later — chips from roughly 2008 onward. AlmaLinux has a history of still supporting hardware that's been dropped from RHEL and Rocky, which it's been doing since AlmaLinux 9.4. Now that includes CPUs. In comparison, the system requirements for Rocky Linux 10 are the same as for RHEL 10. The release notes say.... "The most significant change in Rocky Linux 10 is the removal of support for x86-64-v2 architectures. AMD and Intel 64-bit architectures for x86-64-v3 are now required."

A significant element of the advertising around RHEL 10 involves how it has an AI assistant. This is called Red Hat Enterprise Linux Lightspeed, and you can use it right from a shell prompt, as the documentation describes... It's much easier than searching man pages, especially if you don't know what to look for... [N]either AlmaLinux 10 nor Rocky Linux 10 includes the option of a helper bot. No big surprise there... [Rocky Linux] is sticking closest to upstream, thanks to a clever loophole to obtain source RPMs. Its hardware requirements also closely parallel RHEL 10, and CIQ is working on certifications, compliance, and special editions. Meanwhile, AlmaLinux is maintaining support for older hardware and CPUs, which will widen its appeal, and working with partners to ensure reboot-free updates and patching, rather than CIQ's keep-it-in-house approach. All are valid, and all three still look and work almost identically... except for the LLM bot assistant.