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Intel previews Computex 2026 lineup across handhelds, desktops, and servers as 18A process becomes foundry calling card

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TL;DR

Intel is taking Panther Lake handhelds, a 52-core Nova Lake desktop preview, and 288-core Clearwater Forest servers to Computex 2026, all built on the 18A process that underpins its foundry pitch to Apple, Amazon, and Musk’s Terafab.

Intel will arrive at Computex 2026 in Taipei on 2 June with something it has not had in a decade: a product in every computing category built on a single manufacturing story. Panther Lake, the laptop chip launched at CES in January, is expanding to handhelds with Arc G3 and Arc G3 Extreme processors designed for the gaming handheld market. Nova Lake, a 52-core desktop chip with a new socket and new CPU architecture, will be previewed for a second-half launch. Clearwater Forest, a 288-core server processor that shipped at MWC in March, rounds out the Xeon lineup for data centres and cloud inference. All of them are built on or designed around Intel 18A, the 1.8-nanometre process node that combines RibbonFET gate-all-around transistors with PowerVia backside power delivery and represents the most advanced semiconductor manufacturing capability produced entirely in the United States. CEO Lip-Bu Tan will deliver the keynote. The venue is 40 kilometres from TSMC’s headquarters. The message is not subtle.

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The products

Panther Lake launched as Core Ultra Series 3 at CES in January and is already shipping in more than 200 laptop designs. The chip delivers 180 total platform TOPS, combining 120 TOPS from its Xe3 integrated GPU with 50 TOPS from the NPU 5 neural processing unit, and claims a 60 per cent improvement in multi-threaded performance over its predecessor at equivalent power. The Computex expansion brings Panther Lake to gaming handhelds through the Arc G3 platform: a 14-core design with two performance cores, eight efficiency cores, and four low-power cores paired with a 10 or 12-core Xe3 GPU in a configurable power envelope of 25 to 80 watts. MSI, OneXPlayer, GPD, and Acer are expected to showcase handheld devices running the Arc G3 chips at the event, with reports suggesting a Microsoft Xbox-branded handheld may also appear.

Nova Lake, branded Core Ultra Series 4, is Intel’s next desktop platform and will be previewed at Computex ahead of a late-2026 launch. The chip scales from 8 to 52 cores using new Coyote Cove performance cores and Arctic Wolf efficiency cores, introduces the LGA 1954 socket, and integrates Xe3 graphics, Thunderbolt 5, and Wi-Fi 7. The power range spans 35 to 175 watts, reflecting a design that covers both mainstream desktops and high-performance workstations. Nova Lake adopts what Intel calls a “big last level cache” architecture, a design approach inspired by AMD’s success with large L3 caches that prioritises keeping data close to the CPU cores. Intel’s first-quarter earnings revealed that AI-driven CPU demand is real: data centre and AI revenue grew 22 per cent year on year to 5.1 billion dollars as agentic AI workloads shift processing requirements back toward CPUs and away from the GPU-only model that defined the training era.

The server

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Clearwater Forest, formally launched at MWC in March as Xeon 6+, is Intel’s most architecturally ambitious server processor. It packs 288 Darkmont efficiency cores across 12 compute chiplets manufactured on 18A, assembled using Foveros Direct 3D stacking on base tiles built on Intel 3. The IPC uplift is 17 per cent over the prior generation, and the chip targets the cloud inference and dense computing workloads that are expanding as AI deployments move from training to production. The shift toward agentic AI is driving demand for inference compute across every major cloud provider: Meta has committed more than 140 billion dollars to chip procurement from Nvidia, AMD, and Amazon, and the inference workloads those chips serve increasingly require CPU resources for orchestration, memory management, and the real-time decision-making that autonomous AI agents demand.

Intel’s server story at Computex also includes updates on Crescent Island, its dedicated inference accelerator, and Jaguar Shores, a rack-scale computing platform designed for the AI data centre of the late 2020s. Neither product has been formally launched, but both are expected to receive architectural details at Tan’s keynote. The inference accelerator is Intel’s attempt to compete directly with Nvidia’s inference-optimised products rather than conceding the AI accelerator market entirely. Whether Intel can build a competitive inference chip while simultaneously ramping its foundry business and launching three client platforms is the operational question that Computex will not answer but cannot avoid raising.

The process

The thread connecting every product at Computex is 18A. Panther Lake is the first consumer chip built on the node. Clearwater Forest is the first server chip. The Arc G3 handheld processors are the first gaming-focused silicon. Nova Lake will be the first desktop chip, though reports indicate that more than 90 per cent of Nova Lake’s compute tiles will be manufactured by TSMC on its N2 process rather than on Intel’s own fabs, a concession to the reality that Intel’s foundry capacity is not yet sufficient to supply both internal demand and external customers simultaneously.

That concession matters because the 18A node is not just a manufacturing process. It is the product Intel is selling to Apple, Amazon, Musk’s Terafab, and every other company that has signed or is negotiating a foundry agreement. Intel recently hired Qualcomm veteran Alex Katouzian to lead a new Client Computing and Physical AI group, a signal that the company sees local AI inference, the kind of processing that runs on PCs, handhelds, and edge devices rather than in cloud data centres, as the next wave of chip demand. The Computex product lineup is the proof of concept: if 18A can produce competitive chips across laptops, handhelds, desktops, and servers, the foundry pitch to external customers becomes significantly more credible than a roadmap slide.

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The market

GitHub paused new Copilot sign-ups after agentic AI workflows consumed more compute than users paid for, an early signal that the economics of agentic AI will push processing toward local hardware. If AI agents run continuously on cloud infrastructure, the costs scale linearly with usage and eventually become unsustainable at flat subscription prices. If those agents run locally, on a laptop with 180 TOPS of AI processing power or a desktop with 52 cores and a large cache, the economics shift from per-query cloud charges to a one-time hardware purchase. Intel’s bet is that the AI PC is not a marketing label but an architectural requirement: the agentic era needs local compute, and Intel’s chips are designed to provide it.

The competition is real. Qualcomm’s Snapdragon X Elite has established itself in the thin-and-light Windows market with superior power efficiency. AMD’s Ryzen AI 300 and 400 series compete directly with Panther Lake in laptops and with Arrow Lake Refresh on desktops. Apple’s M-series processors remain the benchmark for integrated performance in the consumer market. Nvidia’s server GPUs sell for a million dollars each in China despite export controls, reflecting a level of demand that Intel’s data centre products have never generated. Intel’s advantage at Computex is not that its chips are the best in any single category. It is that it has chips in every category, all manufactured on a process node that also serves as the foundation of a foundry business, and the foundry business is the reason Apple is in talks, Musk is building a 25 billion dollar fab, and the US government owns 10 per cent of the company.

The stakes

Computex has been Intel’s event for decades. The show takes place in Taipei, the heart of the global semiconductor supply chain, and Intel has traditionally used it to announce the products that define each generation of PC computing. The difference in 2026 is that Intel is no longer just a chip designer presenting products manufactured in its own fabs. It is a foundry operator competing with the host country’s most valuable company for the right to manufacture other people’s chips. Tan’s keynote will be watched not just for what Intel announces about its own products but for what those products reveal about 18A’s readiness to serve external foundry customers. Every Panther Lake laptop that ships without defects, every Clearwater Forest server that meets its performance claims, every Arc G3 handheld that runs within its thermal envelope is a data point for Apple, Amazon, and every other company evaluating whether to trust Intel with their silicon.

In 2016, Intel was the world’s largest semiconductor company by revenue. By 2024, it had fallen to eighth, behind Nvidia, TSMC, Samsung, Broadcom, Qualcomm, AMD, and Texas Instruments. Its manufacturing process had fallen two generations behind TSMC. Its CEO was forced out by a board that had lost confidence in the turnaround. The stock hit 18 dollars. Fourteen months later, Intel is at an all-time high, its foundry has anchor customers including Apple and Musk’s Terafab, and it is going to Computex with a product in every category for the first time in a decade. The turnaround is real, but it is also incomplete: the foundry loses 2.4 billion dollars per quarter, external revenue is 174 million dollars against TSMC’s 20 billion, and 90 per cent of the desktop chip Intel is previewing at Computex will be manufactured by the competitor it is trying to displace. The 18A node is Intel’s answer to all of those problems. Computex is where it starts proving the answer works.

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Sony Abruptly Shuts Down Online Multiplayer Game Destruction AllStars

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Hope you weren’t planning to queue up for the PS5 launch window title.

Destruction AllStars was one of the early wave of games available when Sony released the PlayStation 5, but it doesn’t seem to be sticking around for the console’s next act. Sony sent an alert out confirming that the live service game is no longer available to purchase and its servers have been shut down. “Due to ongoing technical issues, multiplayer services for Destruction AllStars on PlayStation 5 consoles shall remain offline and are no longer available,” the email reads, which is an oddly sudden finale for the game. Anyone who owns the title can access single-player content until November 25, and the destruction will be done after that date except for solo arcade modes, which Sony notes might have limited functionality since all servers will be shut down.

The game, which featured Twisted Metal-style chaotic vehicular arena battles, was a free title for PlayStation Plus members when it launched in February 2021. While most online multiplayer games rely on a steady stream of new content or battle passes to keep players around, this project went pretty quiet within a year of its release, which makes its ending a little less of a surprise. However, there didn’t appear to be any advanced messaging from Sony or developer Lucid Games about sunsetting the project, which is unusual. News first circulated about this change based on PlayStation notifications players saw. It seems likely that Destruction AllStars never found a sustainable audience in the ever-saturated market for games-as-a-service.

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Windows’ Classic 3D Space Cadet Pinball Is Getting a Physical Re-Creation

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Hobbyist CNCDan is trying to build a real-world version of Windows’ classic 3D Pinball for Windows — Space Cadet, using 3D-printed flippers, bumpers, LEDs, slingshots, and a raised playfield modeled after the original virtual table. But in bringing the digital table into the real world, CNCDan has already run into several physical challenges the software never had to contend with… Ars Technica reports: After scaling and skewing the on-screen, perspective-shifted view of the Space Cadet playfield onto a 1-meter-tall table, he ended up with a rectangular playfield just 56 cm wide. That’s on the smaller side for commercial pinball tables and maps to playfield bumpers that are just 53 mm wide — way smaller than any prebuilt bumpers that are commercially available.

Once CNCDan dealt with issues with unreliable plastic microswitches for those tiny bumpers (Hall effect magnets seemed to help), he ran into a separate problem with the even smaller bumpers on the raised playfield. The wiring for those bumpers had to be arranged very carefully to avoid blocking a kickback return alley underneath, a positioning problem that the original designers of the virtual table didn’t have to consider at all. CNCDan also ended up adding a physical mechanism to simulate the short delay 3D Space Cadet players may remember, when the ball dropped down a hole from the raised playfield back to the flippers below.

CNCDan says he’s currently looking for artists to help him with a hand-drawn re-creation of the original Space Cadet playfield, which he doesn’t want to use AI for. “I’m sure [AI] can do it, but I’d much rather give this job to a real human being,” he said in the video.

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Prime Video: 11 of the Best Sci-Fi Movies You Should Stream Right Now

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If you’re looking for a solid sci-fi movie to stream, head on over to Prime Video. I’m serious. The Amazon-owned streamer has film selections that any genre fan would love. Though you may need to spend some time scrolling through the content pages to find what you’re looking for.

You see, for every good sci-fi movie, Prime Video is stocked with a bunch of missable ones. You may want to bypass this part of the search process altogether. Well, you’re in luck, as I did a bunch of the heavy lifting for you. Below is a roundup of sci-fi movies on the platform worth watching. Keep in mind, these titles are all included with your Prime membership, so this list has nothing to do with add-on subscriptions or the films currently available for rent.

Every flavor of science fiction is at your disposal here, with stories about alien invasions and alternate dimensions to mad doctors and dystopian futures. Scroll on to find CNET’s roundup of the best sci-fi movies currently on Prime Video. I’ll regularly update this list, so be sure to check back each month.

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Read more: Netflix’s 27 Best Sci-Fi TV Shows to Stream Right Now

Screenshot by Aaron Pruner/CNET

John Dies at the End is based on the book by Jason Pargin (who wrote under the pen name David Wong). You could categorize this movie as sci-fi, as horror and as comedy, and you’d be correct all three times. Don Coscarelli directed the film, which follows two slacker friends who travel to other dimensions after taking a drug called Soy Sauce. Oh, and they must save the planet from monsters, aliens and inter-dimensional beasts.

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  • Director: Don Coscarelli
  • Stars: Chase Williamson, Rob Mayes, Paul Giamatti, Clancy Brown, Glynn Turman, Doug Jones
  • Running time: 99 minutes

Ross Ferguson/Paramount Pictures

Edgar Wright came through with a flashy remake of the ’80s cult classic. What’s different about this Running Man? There’s no Arnold Schwarzenegger or Richard Dawson, but the movie absolutely strikes a chord. And, it’s truer to the Stephen King (I mean, Richard Bachman) short story. Basically, the idea here is that it’s the future, and people love this reality TV show that follows a man who is hunted everywhere he goes. If he survives, he wins a fortune. Yeah, I’d watch that.

  • Director: Edgar Wright
  • Stars: Glen Powell, Lee Pace, Emilia Jones, Michael Cera, Colman Domingo, Josh Brolin
  • Running time: 134 minutes

Paramount Pictures

This sleeper sci-fi flick was a covert spinoff of monster disaster movie Cloverfield. Most of the film takes place in a bunker and follows two people who are being held captive by a doomsday prepper convinced that the world is under attack. Spoiler: It is.

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  • Director: Dan Trachtenberg
  • Stars: Mary Elizabeth Winstead, John Goodman, John Gallagher Jr.
  • Running time: 103 minutes

Empire International Pictures

You could absolutely consider Re-Animator to be a horror movie — and it is. But the subject matter of life regeneration in this H.P. Lovecraft-inspired B-movie classic puts it in the sci-fi category, as well. It’s campy, gory and peak ’80s fun. You’re welcome.

  • Director: Stuart Gordon
  • Stars: Jeffrey Combs, Bruce Abbott, Barbara Crampton, David Gale
  • Running time: 86 minutes

Prime Video/Screenshot by CNET

The Japanese cult classic takes place in a dystopian reality where high school students are forced by the government to go on a killing spree against each other until there’s one survivor left. There have been a bunch of comparisons between this movie and other dystopian titles, like The Hunger Games, but Battle Royale stands the test of time for its extreme violence, dark humor and sociopolitical themes.

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  • Director: Kinji Fukasaku
  • Stars: Tatsuya Fujiwara, Aki Maeda, Taro Yamamoto
  • Running time: 114 minutes

UK Film Council

There are time loop movies, and then there’s Triangle. This is a little underdog of a movie filled with enough twists and terror to keep you invested. Heck, it burrowed itself into my brain when I first saw it in 2009 and stayed there for a while. The movie follows a woman named Jess as she struggles to survive a killer on a deserted boat. Sounds simple enough, but things go haywire rather quickly.

  • Director: Christopher Smith
  • Stars: Melissa George, Joshua McIvor, Jack Taylor, Michael Dorman, Henry Nixon, Liam Hemsworth
  • Running time: 99 minutes

20th Century Studios

Highlander follows an immortal man named Connor MacLeod (Christopher Lambert) who faces off in a centuries-long battle against five immortal enemies in the streets of New York City. This movie is peak ’80s sci-fi, which means if you’re looking for an action movie that leans heavily into the schlocky absurdity of the genre, this is the title for you.

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  • Director: Russell Mulcahy
  • Stars: Christopher Lambert, Sean Connery, Roxanne Hart, Clancy Brown
  • Running time: 111 minutes

Relativity Media/Screenshot

What if there were a pill that could turn any person into a hyperintelligent super genius? Limitless aims to answer that question. The movie stars Bradley Cooper as Eddie Morra, a down-on-his-luck writer who takes the untested drug and uses it to massively level up his life. Of course, what goes up must come down, and Eddie soon finds out that sometimes, it’s best to leave mysterious meds alone.

  • Director: Neil Burger
  • Stars: Bradley Cooper, Robert De Niro, Abbie Cornish, Johnny Whitworth, Andrew Howard, Hill Harper, Richard Bekins, Daniel Breaker, Robert John Burke
  • Running time: 105 minutes

Amazon Prime Video

Chris Pratt stars in this action movie that follows a group of soldiers who travel back in time to warn of a future where humanity is losing the war against an army of alien invaders. Mankind’s only hope lies in a group of would-be heroes who are tapped to travel to the future in order to save the present.

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  • Director: Chris McKay
  • Stars: Chris Pratt, Yvonne Strahovski, Betty Gilpin, Jasmine Mathews, Sam Richardson, J.K. Simmons
  • Running time: 138 minutes

Paramount Pictures

A Quiet Place: Day One takes audiences back to the very beginning of the alien invasion. While it may not be a necessary entry in the franchise — like, say, 10 Cloverfield Lane — the movie digs its heels into the human experience amid an otherworldly cataclysmic disaster. Come for the disaster, stay for the cute cat.

  • Director: Michael Samoski
  • Stars: Joseph Quinn, Lupita Nyong’o, Alex Wolff, Djimon Hounsou, Thea Butler, Denis O’Hare
  • Running time: 99 minutes

Newmarket Films

This mind-bending cult classic stars Jake Gyllenhaal as a misunderstood high schooler who, after seemingly surviving a horrific accident, begins traveling through time. In the process, he discovers the joy of being alive and in love. Themes of depression, repression and alternative universes fill this delightfully bizarre film. Also, let’s not forget that giant demon bunny named Frank.

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  • Director: Richard Kelly
  • Stars: Jake Gyllenhaal, Drew Barrymore, Maggie Gyllenhaal, Seth Rogen, Jena Malone, Patrick Swayze, Mary McDonnell, Noah Wyle
  • Running time: 113 minutes

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My Kid Vibe Coded Their Way To Actually Learning Math

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from the sometimes-it-can-be-a-useful-tool dept

I’ve spoken to enough teachers and professors to know that LLM tools are absolutely a challenge for many of them in the classroom. Many struggle with making sure they’re actually teaching students how to learn, worrying that the tools are doing the work for them, and skipping over the actual learning. Many are (understandably) resorting to outright bans on students using the tools (which they often know they can’t enforce). Others say that students can use these tools but are fully responsible for any work they turn in, hoping that this will encourage students to be wary of relying too much on the tech. Still others are trying clever workarounds (I appreciate the assignment in which students are asked to have an LLM generate an essay and then the student has to review/grade the essay themselves, which is engaging and also teaches some of the limitations of the tools).

But I’ve also heard from both teachers/professors and students that there are concerns that as students go out into the job market, having some skills with these tools is often a requirement in whatever fields they pursue, leading them to wonder how to best teach the subject in a world where LLM tech isn’t likely to go away, and is seen as part of the toolbox that many employers will expect their employees to use.

I don’t necessarily have good answers to that, but I did recently have an experience in my own home that struck me as potentially relevant as an example of how the tech can actually be useful as a learning tool. I’ve been meaning to write about this for a few months now, but there always seemed to be something more urgent to cover. With the school year almost over, I figure I should get this out. For all the talk of how kids are cheating using AI, it might be worth showing at least one example where the tool is genuinely useful — in this case, one of my kids and their friends.

At the beginning of this year I had actually set up my kids with some (very sandboxed) agentic coding tools, after walking them through how I used such tools for a fairly simple project so they could see both how it worked, but also some of the limitations with the tools.

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Soon after that, my 12-year-old had asked about my opinion on AI in schools. We talked through how using them to avoid doing the work is genuinely damaging to learning, but there are cases where they can be legitimately helpful. I used the calculator analogy: you first have to learn basic arithmetic by hand, but once you genuinely understand it, a calculator is a perfectly legitimate tool for tackling harder problems — it stops being a crutch and starts being a multiplier.

Apparently that analogy stuck, because what happened later was that analogy made real.

Once I had set my kids up with the tools, they did what most people do with them: created some fun games. A couple of months went by and they hadn’t used them much more. In early March, however, the 12-year-old came home and told me there was a math test that Friday and some classmates were doing an online study group. They worked through some problems together in a live voice chat, but afterward my kid stayed at the computer for a while longer before calling me over to take a look.

“I vibe coded a system to help study.”

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I was… surprised. Even more interesting, the app had been packaged up (as an HTML file) and shared with the study group. My kid then explained that because AI can’t be trusted to always get things right, they’d gone through and checked the AI’s math themselves — making some (minor) corrections along the way — and that the process had given them a stronger grasp of the material than just passively studying would have.

I never got a full explanation on the “errors” that they found, though the sense I get is that it wasn’t anything major (outright incorrect math or explanations or anything) but more minor mistakes that they used the tools to fix directly within the app.

After acing the test that week, the next obvious thing to do over the weekend was plan out a study tool for the rest of the semester:

Among other things, this version of the app includes an onscreen pop-up calculator — but only for the topics where a calculator is allowed on exams. I have no idea if this was a more literal implementation of the calculator analogy we’d discussed earlier! It also (for fun) lets you adjust the color scheme.

And it has a changelog as updates were made to the app.

There are plenty of reasonable concerns about kids using AI to cheat, and those concerns aren’t wrong. It’s a real issue. But the framing of “AI as cheating tool” has crowded out a more interesting question: what does it actually look like when a kid uses these tools well?

The calculator analogy holds: the LLM tool generated a first draft — a study tool, a set of practice problems, a scaffolded explanation of the material. My kid then had to engage critically with that output: checking the math, finding the gaps, making corrections. That process of verification was part of the studying. The tool actually created the conditions for more active, more engaged learning than just reviewing problems in a book. And it certainly didn’t substitute in for the learning, like most people worry about with these tools in classroom settings. Quite the opposite.

That’s a meaningfully different frame than “AI does your homework.” The homework here was, in part, checking the tool’s work — and it turns out that’s not a bad way to learn math.

Filed Under: ai, ai in schools, cheating, llms, math

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Tiny C64 PSU Rejects Tradition, Embraces USB

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The Commodore 64 has, by modern standards, the interesting power requirement of needing both 5 VDC and 9 VAC. Traditionally, one would use an iron-core transformer to step-down the wall current — be it 220 V or 115 V, 50 Hz or 60 Hz — to produce the low-voltage AC.

That’s how Commodore did it, and that’s how most of the aftermarket replacements do it, too. That iron-core transformer is bulky, though, and [Side Projects Lab] decided that in this day and age of switching supplies and USB-PD he could surely do better. Which he did, with the diminutive PD-64.

As you can see, it just covers the power port of the C64, and not much else. Partly that small size comes from offloading some of the hard work onto a USB-PD wall wart. The PD-64 requests 12 VDC, which it then steps down to 5 VDC with the usual buck converter, and inverts to 9 VAC in a circuit that is the most interesting part of the project.

There are various ways one could do this, after all, and we’re sure some of you will have different ideas than [Side Projects Lab], but his method seems sound. In order to provide galvanic isolation between the two outputs, the 12 VDC line is first chopped into a 500 kHz signal, and run through a tiny 5:6 ferrite transformer. That output gets rectified to 13.6 VDC, a voltage that is used to run a class-D audio amplifier to produce the 9 V peak-to-peak, zero-DC-offset signal the C64 needs.

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[Side Projects Lab] has released both FreeCAD files for the case and STLs as BY-CC-ND 4.0, and a circuit diagram is available for the electrical side. If you don’t want to design your own PCB, [sideprojectslab] will be selling finished versions.

If you’re interested in further dragging your C64 into the modern era, check out the HDMI output that [Side Projects Lab] hacked together for the iconic computer last year.

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Corsair’s Pro lineup is the company’s answer to the growing demand for AI workstations and servers

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  • Corsair unveils new Pro lineup, targeting AI firms
  • A variety of configurations will be on offer, but things will get pricey quickly
  • Entry-level varieties can be scale up to Nvidia GB300-bases servers

Corsair is stepping up its business hardware game, signaling its aim to capture a slice of the lucrative AI server and workstation market by launching its new ‘Pro’ lineup to gain share in a growing ‘localized AI’ industry.

The company aims to lock in business by offering a range of configurations tailored to user needs, along with testing, thermal tuning, and a mix of workstations and servers.

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Millions of AI agents imperiled by critical vulnerability in open source package

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Millions of AI agents and tools around the world have been imperiled by a critical vulnerability that can allow hackers to breach the servers running them and make off with sensitive data and credentials to third-party accounts, a security researcher is warning.

The vulnerability is present in Starlette, an open source framework that its developer says receives 325 million downloads per week. Thousands of other open source projects are also vulnerable because they require Starlette to work. The framework is an implementation of the ASGI (asynchronous server gateway interface), which allows large numbers of requests to be efficiently processed simultaneously. Starlette is the base of FastAPI and other widely used frameworks for building services in Python apps, as well as many others.

Trivial to exploit, millions of servers exposed

ASGI, and by extension Starlette, have access to servers running the MCP (model context protocol), which allows AI agents from major providers to access external sources, including user data bases, email and calendar accounts, and all manner of other resources. To connect with these external systems, MCP servers store credentials for each one, making them especially valuable storehouses for attackers to breach.

The vulnerability, tracked as CVE-2026-48710 and under the name BadHost, is trivial to exploit and works against most systems that aren’t behind a properly configured firewall. Besides FastAPI, other widely used packages—including vLLM, and LiteLLM—are also affected. BadHost affects Starlette versions prior to 1.0.1, which was released Friday.

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“A single character injected into the HTTP Host header bypasses path-based authorization in Starlette, the routing core of FastAPI,” researchers from Secwest wrote. “Through FastAPI, this primitive (now tracked as CVE-2026-48710 and branded BadHost by the discoverers) reaches a large segment of the Python AI tooling ecosystem: vLLM (where the bug was discovered), LiteLLM, Text Generation Inference, most OpenAI-shim proxies, MCP servers, agent harnesses, eval dashboards, and model-management UIs.”

BadHost carries a severity rating of 7 out of 10. Secwest said the classification “materially understates” the threat it poses to people using other apps that depend on Starlette. X41 D-Sec, the security firm that discovered it, described it as having “critical severity.” X41 D-Sec partnered with fellow security firm Nemesis to create an online scanner that can check if a given server is vulnerable.

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IoT Tribe to scale X_Potential innovation with ESB partnership

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The partnership will focus on ESB’s three strategic pillars – decarbonising the electricity system, building resilient infrastructure and empowering customers.

UK global accelerator and corporate innovation specialist IoT Tribe has announced a three-year partnership with Ireland’s Electricity Supply Board (ESB) that will focus on X_Potential, ESB’s flagship innovation incubator.

IoT Tribe works to accelerate technology growth and adoption for corporations, government agencies, investors, start-ups, SMEs and other ecosystem players. As part of the collaboration, the organisation will strengthen and scale X_Potential, empowering ESB to identify, develop and deploy future‑facing ventures. 

“We’re incredibly excited to be working with ESB on the next phase of X_Potential,” said Tanya Suarez, the CEO and founder of IoT Tribe. “What makes this collaboration so powerful is the combination of ESB’s ambition and IoT Tribe’s experience in building programmes that turn strong ideas into real ventures, leveraging cutting-edge research and external investors.”

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X_Potential operates as an internal innovation platform enabling ESB employees to propose new ideas that advance the organisation’s Net Zero 2040 ambition, and early cohorts have already delivered significant progress. The new team will be located at Trinity College Dublin’s innovation hub, which opened in November last year, and the partnership will focus on ESB’s three strategic pillars – decarbonising the electricity system, building resilient infrastructure and empowering customers.

Commenting on the partnership, Derek Hynes, the head of innovation at ESB, said, “The energy sector is changing rapidly and ESB needs to keep creating the space, support and partnerships that help new ideas develop into real solutions.

“X_Potential plays an important role in that, and this collaboration with IoT Tribe and Trinity College Dublin gives us access to the expertise, structure and external perspective needed to help our people turn strong ideas into ventures with real potential.”

In April, IoT Tribe added to its Dublin base of operations with two new hires, a head of and an associate of venture incubation and acceleration. 

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Case manufacturers are guessing with iPhone Fold accessories

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Renders and 3D-printed models of the iPhone Fold are enough for some case manufacturers to try and get ahead of the competition, but don’t treat their listings as leaks.

It is tempting to see a case listed for iPhone Fold filled with pictures and design elements and take it at face value. However, chances are these case and accessory makers know less about the upcoming product than you do.

A Czech-based Apple-focused website called Letem Svetem Applem shared what it believes are exclusive photos of the iPhone Fold obtained from accessory seller iFunSmart. The problem is, these photos aren’t exclusive or even new.

While some case distributor likely took some time to attach its cases to the renders, these are images we’ve seen going around for some time. One of the images originates from a January report while another comes from an Instagram account.

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That isn’t to say that the publication didn’t get these images from a single source or case manufacturer website. They’re just clearly not real examples of the iPhone Fold outside of reused images from the rumor mill.

A simple search turned up actual listings for iPhone Fold cases, though they’re inconsistent. Like the image I used at the top of this article, it has a camera in the top left of the inner display while the “leaked” photos do not.

There’s nothing that can be learned from this “leak” beyond what a clear case might look like on existing renders. And whatever you do, don’t bother ordering one of these cases, as they likely won’t fit.

For example, the Armor-X website has a very clear return policy. Products can be returned, but only if the box is unopened and returned within 30 days.

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Poorly sourced “leaks” like these will only increase as we approach the fall.

It won’t be long before Apple announces the iPhone Fold, if it can get through production issues in time. Expect to hear about the iPhone Fold, if it’s ready, during the September iPhone keynote that will feature iPhone 18 Pro.

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Drawing Videos On An Etch-a-Sketch

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We’ve covered etch-a-sketch robots before, but usually they’re not quite as fast as [Every Flavor of Robot]’s “video” etch-a-sketch, capable of drawing a full portrait in as little as a minute.

The robot, nearly finished drawing a portrait of [William Osman]

The idea comes from the motivation to make something cool for Open Sauce. Of course, most projects with a deadline come very close to missing it, and–like many an Open Sauce project–this one is no exception. Arriving in California, they realize they couldn’t access their code! Fortunately, they get a demo working where your portrait is drawn just in time.

After the event, [EFoR] sought to improve their robot. In doing so, they developer their own motor driver platform, complete with a custom PCB that can double as a Raspberry Pi hat. The software, being control theory, also needed some tweaking. Because the real world isn’t perfect, just a PID controller isn’t always enough and, in this case, they also needed to add code to account for backlash. Finally, as a finishing touch, they added a time-lapse camera so the “etchbot” could play videos by taking a picture after every frame.

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