In a new interview with The Telegraph (paywalled), William Shatner revealed he has never earned residuals from reruns of the original Star Trek series, since syndication royalties weren't in place until after the show ended in 1969. "Nobody knew about reruns," said Shatner. "The concept of syndication only came in after 'Star Trek' was canceled when someone from the unions said: 'Wait a minute, you're replaying all those films, those shows.' There was a big strike. But in the end, the unions secured residual fees shortly after 'Star Trek' finished, so I didn't benefit." The now 94-year-old actor said he's actually only seen a "few" episodes of his work and has "never seen" any of the spinoffs. "I'm gonna tell you something that nobody knows. I've never seen another 'Star Trek' and I've seen as few 'Star Treks' of the show I was on, I've seen as few as possible," he told Entertainment Tonight. "I don't like to look at myself, and I've never seen any other. I love it, I think it's great. I just don't, you know, I don't watch television, per se."

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BrianFagioli shares a report from NERDS.xyz: Plex has alerted its customers about a security incident that may have affected user accounts. In an email sent to subscribers, the popular media server company confirmed that an unauthorized third party gained access to one of its databases. The breach exposed emails, usernames, and hashed passwords. Plex emphasized that passwords were encrypted following best practices, so attackers cannot simply read them. The company also reassured users that no credit card data was compromised, since Plex does not store that information on its servers. Still, out of caution, it is requiring all account holders to reset their credentials. Users are being directed to reset their passwords at plex.tv/reset. During the process, Plex recommends enabling the option to sign out all connected devices. This measure logs out every device associated with the account, including Plex Media Servers, forcing a fresh login with the updated password. The company says it has already fixed the method used by the intruder to gain entry and is conducting additional security reviews. Plex is also urging subscribers to enable two-factor authentication if they have not already done so.

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An anonymous reader quotes a report from Ars Technica: Last year, we reported on the efforts of classic iPod fans to preserve playable copies of the downloadable clickwheel games that Apple sold for a brief period in the late '00s. The community was working to get around Apple's onerous FairPlay DRM by having people who still owned original copies of those (now unavailable) games sync their accounts to a single iTunes installation via a coordinated Virtual Machine. That "master library" would then be able to provide playable copies of those games to any number of iPods in perpetuity. At the time, the community was still searching for iPod owners with syncable copies of the last few titles needed for their library. With today's addition of Real Soccer 2009 to the project, though, all 54 official iPod clickwheel games are now available together in an easily accessible format for what is likely the first time. [...] Now that the consolidated clickwheel game collection is complete, though, owners of any iPod 5G+ or iPod Nano 3G+ should be able to sync the complete library to their personal device completely offline, without worrying about any server checks from Apple. They can do that by setting up a Virtual Machine using these GitHub instructions or by downloading this torrented Internet Archive collection and creating their own Virtual Machine from the files contained therein. The effort was made possible by GitHub user Olsro, with help from other iPod enthusiasts. To Olsro, completing the project "means this whole part from the early 2000s will remain with us forever." He also expressed hope that "this Virtual Machine can also be useful towards any security [or] archeologist researcher who want to understand how the DRM worked."

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Kevin Barry, founder and sole developer of Nova Launcher, has left parent company Branch Metrics after being told to stop work on both the launcher and an open-source release. While the app remains on Google Play, the launcher's website currently shows a 404 error. The Verge reports: Mobile analytics company Branch Metrics acquired Nova in 2022. The company's CEO at the time, co-founder Alex Austin, said on Reddit that if Barry were to leave Branch, "it's contracted that the code will be open-sourced and put in the hands of the community." Austin left Branch in 2023, and now with Barry officially gone from the company, too, it's unclear if the launcher will now actually be open-sourced. "I think the newer leadership since Alex Austin left has put a different focus on the company and Nova simply isn't part of that focus in any way at all," Cliff Wade, Nova's former customer relations lead who left as part of the 2024 layoffs, tells The Verge. "It's just some app that they own but no longer feel they need or want." Wade also said that "I don't believe Branch will do the right thing any time soon with regards to open-sourcing Nova. I think they simply just don't care and don't want to invest time, unless of course, they get enough pressure from the community and individuals who care." Users have started a change.org petition to ask for the project to be open-sourced, and Wade says it's a "great start" to apply that pressure. Wade said he hasn't personally seen Barry's contract, so couldn't corroborate the claim of a contractual obligation to open-source Nova. Still, he said that the community "deserves" for the launcher to be open-sourced. "Branch just simply needs to do the right thing here and honor what they as a company have stated as well as what then CEO Alex Austin has stated numerous times prior to him leaving Branch."

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Jaguar Land Rover has extended the shutdown of its UK and overseas factories after a cyberattack forced it to take IT systems offline, disrupting production, dealerships, and suppliers. The BBC reports: Jaguar Land Rover's (JLR) UK factories are now expected to remain closed until at least Wednesday after work was disrupted by a cyber attack just over a week ago. The car plants at Halewood and Solihull and its Wolverhampton engine facility, along with production facilities in Slovakia, China and India, have been unable to operate since the company fell victim to the cyber attack. Staff who work on the production lines have been told to remain at home. JLR shut down its IT systems in response to the attack on 31 August, in order to protect them from damage. However, this caused major disruption. [...] Under normal circumstances, the company builds about 1,000 cars a day. The production stoppage has had a significant impact on the company's suppliers, with some understood to have told their own staff not to come into work. As well as forcing the factories to stop building cars, it also left dealerships unable to register new cars and garages that maintain JLR vehicles unable to order the parts they needed -- although it is understood workarounds have since been put in place. The attack began at what is traditionally a popular time for consumers to take delivery of new vehicles. The latest batch of new registration plates became available on Monday, September 1.

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An anonymous reader quotes a report from The Register: All work in IT departments will be done with the help of AI by 2030, according to analyst firm Gartner, which thinks massive job losses won't result. Speaking during the keynote address of the firm's Symposium event in Australia today, VP analyst Alicia Mullery said 81 percent of work is currently done by humans acting alone without AI assistance. Five years from now Gartner believes 75 percent of IT work will be human activity augmented by AI, with the remainder performed by bots alone. Distinguished VP analyst Daryl Plummer said this shift will mean IT departments gain labor capacity and will need to show they deserve to keep it. "You never want to look like you have too many people," he advised, before suggesting technology leaders consult with peers elsewhere in a business to identify value-adding opportunities IT departments can execute. Plummer said Gartner doesn't foresee an "AI jobs bloodbath" in IT or other industries for at least five years, adding that just one percent of job losses today are attributable to AI. He and Mullery did predict a reduction in entry-level jobs, as AI lets senior staff tackle work they would once have assigned to juniors. The two analysts also forecast that businesses will struggle to implement AI effectively, because the costs of running AI workloads balloon. ERP, Plummer said, has straightforward up-front costs: You pay to license and implement it, then to train people so they can use it. AI needs that same initial investment but few organizations can keep up with AI vendors' pace of innovation. Adopting AI therefore creates a requirement for near-constant exploration of use cases and subsequent retraining. Plummer said orgs that adopt AI should expect to uncover 10 unanticipated ancillary costs, among them the need to acquire new datasets, and the costs of managing multiple models. The need to use one AI model to check the output of others -- a necessary step to verify accuracy -- is another cost to consider. AI's hidden costs mean Gartner believes 65 percent of CIOs aren't breaking even on AI investments.

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An anonymous reader shares a report: In what is being called the largest supply chain attack in history, attackers have injected malware into NPM packages with over 2.6 billion weekly downloads after compromising a maintainer's account in a phishing attack. The package maintainer whose accounts were hijacked in this supply-chain attack confirmed the incident earlier today, stating that he was aware of the compromise and adding that the phishing email came from support [at] npmjs [dot] help, a domain that hosts a website impersonating the legitimate npmjs.com domain. In the emails, the attackers threatened that the targeted maintainers' accounts would be locked on September 10th, 2025, as a scare tactic to get them to click on the link redirecting them to the phishing sites.

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Signal has begun rolling out end-to-end encrypted cloud backups in its latest Android beta release. The opt-in feature allows users to restore message history if their phone is lost or damaged. Free backups include all text messages and 45 days of media attachments. A $1.99 monthly subscription extends media storage to 100GB. Users generate a 64-character recovery key on their device that Signal's servers never access. Backups refresh daily, excluding view-once messages and those set to disappear within 24 hours. The nonprofit cited storage costs as the reason for its first paid tier. iOS and Desktop support will follow the Android rollout. Signal said it stores backup archives without linking them to specific user accounts or payment information.

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Google has stated in a court filing that "the open web is already in rapid decline," contradicting recent public statements from executives including its CEO Sundar Pichai and Search VP Nick Fox, who maintained in May that web publishing and the web were thriving. The admission appeared in Google's response to a divestiture proposal, arguing that breaking up the company would accelerate the decline and harm publishers dependent on open-web display advertising revenue. Google's VP of Global Ads Dan Taylor has since clarified the company was referring specifically to open-web display advertising, not the entire open web.

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A 67-year-old US man is still alive more than six months after receiving a kidney from a genetically modified pig. This is the longest a pig organ has survived in a living person. From a report: Researchers say the outcome is a landmark case of successful xenotransplantation -- the process of transplanting organs from animals to humans. The recipient, Tim Andrews, had end-stage kidney disease and had been receiving dialysis for more than two years before he underwent the surgery in January. He has been dialysis-free since receiving the kidney. Andrews was one of three patients to receive genetically modified pig kidneys supplied by the biotechnology company eGenesis in Cambridge, Massachusetts, on compassionate grounds. Reaching six months' survival is an amazing feat, says Wayne Hawthorne, a transplant surgeon at the University of Sydney in Australia. The first six months is the period of "highest risk for the patient and also the transplant," he adds. Possible complications include anaemia and graft rejection, when the immune system attacks the new organ. "The six-month time point marks that things have gone extremely well," Hawthorne says. Reaching 12 months would be another milestone and a "fantastic long-term outcome," he adds. Previously, the recipient with longest-surviving genetically modified pig organ was a 53-year-old US woman, Towana Looney, who had a functioning pig kidney for four months and nine days. However, the organ was removed earlier this year because her immune system began to reject it.

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The former head of security for WhatsApp filed a lawsuit on Monday accusing Meta of ignoring major security and privacy flaws that put billions of the messaging app's users at risk, the latest in a string of whistle-blower allegations against the social media giant. The New York Times: In the lawsuit filed in the U.S. District Court of the District of Northern California, Attaullah Baig claimed that thousands of WhatsApp and Meta employees could gain access to sensitive user data including profile pictures, location, group memberships and contact lists. Meta, which owns WhatsApp, also failed to adequately address the hacking of more than 100,000 accounts each day and rejected his proposals for security fixes, according to the lawsuit. Mr. Baig tried to warn Meta's top leaders, including its chief executive, Mark Zuckerberg, that users were being harmed by the security weaknesses, according to the lawsuit. In response, his managers retaliated and fired him in February, he claims. Mr. Baig, who is represented by the whistle-blower organization Psst.org and the law firm Schonbrun, Seplow, Harris, Hoffman & Zeldes, argued in the suit that the actions violated a privacy settlement Meta reached with the Federal Trade Commission in 2019, as well as securities laws that require companies to disclose risks to shareholders.

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University of Luxembourg mathematicians tested whether GPT-5 could extend a qualitative fourth-moment theorem to include explicit convergence rates, a previously unaddressed problem in the Malliavin-Stein framework. The September 2025 experiment, prompted by claims GPT-5 solved a convex optimization problem, revealed the AI made critical errors requiring constant human correction. GPT-5 overlooked an essential covariance property easily deducible from provided documents. The researchers compared the experience to working with a junior assistant needing careful verification. They warned AI reliance during doctoral training risks students losing opportunities to develop fundamental mathematical skills through mistakes and exploration.

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An anonymous reader shares a report: Two cultivated meat companies have filed a lawsuit against officials in Texas over the law that bans the sales of lab-grown meat in the state for two years. California-based companies UPSIDE Foods, which makes cultivated chicken, and Wildtype, which makes cultivated salmon are suing Attorney General Ken Paxton, Texas Department of State Health Services, Texas Health and Human Services, and Travis County, accusing them of government overreach. "This law has nothing to do with protecting public health and safety and everything to do with protecting conventional agriculture from innovative out-of-state competition," said Paul Sherman, a senior attorney at the Institute for Justice, a nonprofit law firm that is representing UPSIDE Foods and Wildtype. "That is not a legitimate use of government power." In June, lawmakers passed Senate Bill 261, which bans the sale of lab-grown meat in Texas for two years. Lab-grown meat, also known as cell cultivated meat or cultured meat, is made from taking animal cells and growing them in an incubator or bioreactor until they form an edible product.

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An anonymous reader shares a report: OpenAI recently had both good news and bad news for shareholders. Revenue growth from ChatGPT is accelerating at a more rapid rate than the company projected half a year ago. The bad news? The computing costs to develop artificial intelligence that powers the chatbot, and other data center-related expenses, will rise even faster. As a result, OpenAI projected its cash burn this year through 2029 will rise even higher than previously thought, to a total of $115 billion. That's about $80 billion higher than the company previously expected. The unprecedented projected cash burn, which would add to the roughly $2 billion it burned in the past two years, helps explain why the company is raising more capital than any private company in history.

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Young Americans are abandoning traditional retirement planning for dividend-focused ETFs that promise immediate income and freedom from traditional employment. Income-generating ETFs captured one in six dollars flowing into equity ETFs in 2025, pushing the sector to $750 billion -- with the most aggressive funds offering yields above 8% quadrupling to $160 billion over three years. The r/dividends subreddit has grown tenfold to 780,000 members over five years, while YouTube channels and Discord servers dedicated to dividend investing proliferate. YieldMax's MSTY fund, offering a 90% distribution rate through complex derivatives, has underperformed MicroStrategy stock by 120 percentage points since February 2024 when dividends are reinvested -- nearly 200 points when payouts are withdrawn. Speaking to Bloomberg, finance professor Samuel Hartzmark identified this as the "free dividends fallacy," where investors fail to recognize that dividends reduce share prices rather than creating additional wealth.

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Slashdot reader Charlotte Web shared this report from the Register: Among the software developers who use Microsoft's GitHub, the most popular community discussion in the past 12 months has been a request for a way to block Copilot, the company's AI service, from generating issues and pull requests in code repositories. The second most popular discussion — where popularity is measured in upvotes — is a bug report that seeks a fix for the inability of users to disable Copilot code reviews. Both of these questions, the first opened in May and the second opened a month ago, remain unanswered, despite an abundance of comments critical of generative AI and Copilot... The author of the first, developer Andi McClure, published a similar request to Microsoft's Visual Studio Code repository in January, objecting to the reappearance of a Copilot icon in VS Code after she had uninstalled the Copilot extension... "I've been for a while now filing issues in the GitHub Community feedback area when Copilot intrudes on my GitHub usage," McClure told The Register in an email. "I deeply resent that on top of Copilot seemingly training itself on my GitHub-posted code in violation of my licenses, GitHub wants me to look at (effectively) ads for this project I will never touch. If something's bothering me, I don't see a reason to stay quiet about it. I think part of how we get pushed into things we collectively don't want is because we stay quiet about it." It's not just the burden of responding to AI slop, an ongoing issue for Curl maintainer Daniel Stenberg. It's the permissionless copying and regurgitation of speculation as fact, mitigated only by small print disclaimers that generative AI may produce inaccurate results. It's also GitHub's disavowal of liability if Copilot code suggestions happen to have reproduced source code that requires attribution. It's what the Servo project characterizes in its ban on AI code contributions as the lack of code correctness guarantees, copyright issues, and ethical concerns. Similar objections have been used to justify AI code bans in GNOME's Loupe project, FreeBSD, Gentoo, NetBSD, and QEMU... Calls to shun Microsoft and GitHub go back a long way in the open source community, but moved beyond simmering dissatisfaction in 2022 when the Software Freedom Conservancy (SFC) urged free software supporters to give up GitHub, a position SFC policy fellow Bradley M. Kuhn recently reiterated. McClure says In the last six months their posts have drawn more community support — and tells the Register there's been a second change in how people see GitHub within the last month. After GitHub moved from a distinct subsidiary to part of Microsoft's CoreAI group, "it seems to have galvanized the open source community from just complaining about Copilot to now actively moving away from GitHub."

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An anonymous reader shared this report from Fortune: The percentage of young Gen Z employees between the ages of 21 and 25 has been cut in half at technology companies over the past two years, according to recent data from compensation management software business Pave with workforce data from more than 8,300 companies. These young workers accounted for 15% of the workforce at large public tech firms in January 2023. By August 2025, they only represented 6.8%. The situation isn't pretty at big private tech companies, either — during that same time period, the proportion of early-career Gen Z employees dwindled from 9.3% to 6.8%. Meanwhile, the average age of a worker at a tech company has risen dramatically over those two and a half years. Between January 2023 and July 2025, the average age of all employees at large public technology businesses rose from 34.3 years to 39.4 years — more than a five year difference. On the private side, the change was less drastic, with the typical age only increasing from 35.1 to 36.6 years old... "If you're 35 or 40 years old, you're pretty established in your career, you have skills that you know cannot yet be disrupted by AI," Matt Schulman, founder and CEO of Pave, tells Fortune. "There's still a lot of human judgment when you're operating at the more senior level...If you're a 22-year-old that used to be an Excel junkie or something, then that can be disrupted. So it's almost a tale of two cities." Schulman points to a few reasons why tech company workforces are getting older and locking Gen Z out of jobs. One is that big companies — like Salesforce, Meta, and Microsoft — are becoming a lot more efficient thanks to the advent of AI. And despite their soaring trillion-dollar profits, they're cutting employees at the bottom rungs in favor of automation. Entry-level jobs have also dwindled because of AI agents, and stalling promotions across many agencies looking to do more with less. Once technology companies weed out junior roles, occupied by Gen Zers, their workforces are bound to rise in age. Schulman tells Fortune Gen Z also has an advantage: that tech corporations can see them as fresh talent that "can just break the rules and leverage AI to a much greater degree without the hindrance of years of bias." And Priya Rathod, workplace trends editor for LinkedIn, tells Fortune there's promising tech-industry entry roles in AI ethics, cybersecurity, UX, and product operations. "Building skills through certifications, gig work, and online communities can open doors.... "For Gen Z, the right certifications or micro credentials can outweigh a lack of years on the resume. This helps them stay competitive even when entry level opportunities shrink."

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State machines are a powerful way to organize code. They are, after all, one of the fundamental models of computation. That's pretty good. A well designed state machine can make a complicated problem clear, and easy to understand.

Chris, on the other hand, found this one.

static { sM.put(tk(NONE, NONE, invite), sp(PENDING, INVITED)); // t1 sM.put(tk(REJECTED, REJECTED, invite), sp(PENDING, INVITED)); // t2 sM.put(tk(PENDING, IGNORED, invite), sp(PENDING, INVITED)); // t3 sM.put(tk(PENDING, INVITED, cancel), sp(NONE, NONE)); // t4 sM.put(tk(PENDING, IGNORED, cancel), sp(NONE, NONE)); // t5 sM.put(tk(PENDING, BLOCKED, cancel), sp(NONE, BLOCKED)); // t6 sM.put(tk(INVITED, PENDING, accept), sp(ACCEPTED, ACCEPTED)); // t7 sM.put(tk(INVITED, PENDING, reject), sp(REJECTED, REJECTED)); // t8 sM.put(tk(INVITED, PENDING, ignore), sp(IGNORED, PENDING)); // t9 sM.put(tk(INVITED, PENDING, block), sp(BLOCKED, PENDING)); // t10 sM.put(tk(ACCEPTED, ACCEPTED, remove), sp(NONE, NONE)); // t11 sM.put(tk(REJECTED, REJECTED, remove), sp(NONE, NONE)); // t12 sM.put(tk(IGNORED, PENDING, remove), sp(NONE, NONE)); // t13 sM.put(tk(PENDING, IGNORED, remove), sp(NONE, NONE)); // t14 sM.put(tk(BLOCKED, PENDING, remove), sp(NONE, NONE)); // t15 sM.put(tk(PENDING, BLOCKED, remove), sp(NONE, BLOCKED)); // t16 sM.put(tk(NONE, BLOCKED, invite), sp(PENDING, BLOCKED)); // t17 sM.put(tk(IGNORED, PENDING, invite), sp(PENDING, INVITED)); // t19 sM.put(tk(INVITED, PENDING, invite), sp(ACCEPTED, ACCEPTED)); // t20 sM.put(tk(NONE, NONE, remove), sp(NONE, NONE)); // t21 sM.put(tk(NONE, BLOCKED, remove), sp(NONE, BLOCKED)); // t22 sM.put(tk(BLOCKED, NONE, remove), sp(NONE, NONE)); // t23 }

Honestly, I only know this is a state machine because Chris told me. I could hazard a guess base on the variable name sM. The comments certainly don't help. Numbering lines isn't exactly what I want comments for. I don't know what tk or sp are actually doing.

So yes, this is an unreadable blob that I don't understand, which is always bad. But do you know what elevates this one step above that? If you note the third parameter to the tk function- invite, cancel, accept, etc? Those are constants. So are INVITED, PENDING, ACCEPTED.

While I am not fond of using the structure of a variable name to denote its role, "caps means const" is a very well accepted standard. A standard that they're using sometimes, but not all the time, and just looking at this makes me grind my teeth.

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Somewhere in Houston, four research volunteers "will soon participate in NASA's year-long simulation of a Mars mission," NASA announced this week, saying it will provide "foundational data to inform human exploration of the Moon, Mars, and beyond." The 378-day simulation will take place inside a 3D-printed, 1,700-square-foot habitat at NASA's Johnson Space Center in Houston — starting on October 19th and continuing until Halloween of 2026: Through a series of Earth-based missions called CHAPEA (Crew Health and Performance Exploration Analog), NASA aims to evaluate certain human health and performance factors ahead of future Mars missions. The crew will undergo realistic resource limitations, equipment failures, communication delays, isolation and confinement, and other stressors, along with simulated high-tempo extravehicular activities. These scenarios allow NASA to make informed trades between risks and interventions for long-duration exploration missions. "As NASA gears up for crewed Artemis missions, CHAPEA and other ground analogs are helping to determine which capabilities could best support future crews in overcoming the human health and performance challenges of living and operating beyond Earth's resources — all before we send humans to Mars," said Sara Whiting, project scientist with NASA's Human Research Program at NASA Johnson. Crew members will carry out scientific research and operational tasks, including simulated Mars walks, growing a vegetable garden, robotic operations, and more. Technologies specifically designed for Mars and deep space exploration will also be tested, including a potable water dispenser and diagnostic medical equipment... This mission, facilitated by NASA's Human Research Program, is the second one-year Mars surface simulation conducted through CHAPEA. The first mission concluded on July 6, 2024.

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Four years ago a small Microsoft Research team started creating an analog optical computer. They used commercially available parts like sensors from smartphone cameras, optical lenses, and micro-LED lights finer than a human hair. "As the light passes through the sensor at different intensities, the analog optical computer can add and multiply numbers," explains a Microsoft blog post. They envision the technology scaling to a computer that for certain problems is 100X faster and 100X more energy efficient — running AI workloads "with a fraction of the energy needed and at much greater speed than the GPUs running today's large language models." The results are described in a paper published in the scientific journal Nature, according to the blog post: At the same time, Microsoft is publicly sharing its "optimization solver" algorithm and the "digital twin" it developed so that researchers from other organizations can investigate this new computing paradigm and propose new problems to solve and new ways to solve them. Francesca Parmigiani, a Microsoft principal research manager who leads the team developing the AOC, explained that the digital twin is a computer-based model that mimics how the real analog optical computer [or "AOC"] behaves; it simulates the same inputs, processes and outputs, but in a digital environment — like a software version of the hardware. This allowed the Microsoft researchers and collaborators to solve optimization problems at a scale that would be useful in real situations. This digital twin will also allow other users to experiment with how problems, either in optimization or in AI, would be mapped and run on the analog optical computer hardware. "To have the kind of success we are dreaming about, we need other researchers to be experimenting and thinking about how this hardware can be used," Parmigiani said. Hitesh Ballani, who directs research on future AI infrastructure at the Microsoft Research lab in Cambridge, U.K. said he believes the AOC could be a game changer. "We have actually delivered on the hard promise that it can make a big difference in two real-world problems in two domains, banking and healthcare," he said. Further, "we opened up a whole new application domain by showing that exactly the same hardware could serve AI models, too." In the healthcare example described in the Nature paper, the researchers used the digital twin to reconstruct MRI scans with a good degree of accuracy. The research indicates that the device could theoretically cut the time it takes to do those scans from 30 minutes to five. In the banking example, the AOC succeeded in resolving a complex optimization test case with a high degree of accuracy... As researchers refine the AOC, adding more and more micro-LEDs, it could eventually have millions or even more than a billion weights. At the same time, it should get smaller and smaller as parts are miniaturized, researchers say.

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