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When papers become currency: a Chinese debate about trust in science
Last Saturday, 31 October, I went to the University of Hong Kong’s Beijing Centre for its Talent Forum. It was the fourth stop in the series this year, following events in Shanghai’s Zhangjiang, Shenzhen’s Qianhai, and on HKU’s main campus. The programme covered a remarkable distance in one afternoon. HKU’s Xiao-Jing Wang discussed computational neuroscience, intelligence, and the prefrontal cortex—before even delivering his inaugural public lecture to students back in Hong Kong. His colleague Bing Zhang took us from the Big Bang to artificial intelligence. Tsinghua’s Xue Lan asked how AI might reshape the institutional infrastructure underpinning higher education. There were lively panels featuring industry leaders from JD.com, Xiaomi, Haier—and Kaiser Y Kuo on the closing panel discussing innovation and international connections. I cannot pretend to have followed every detail of the brain models or the astrophysics. The talk that stayed with me was closer to something we have covered before: Zhou Zhonghe 周忠和 on papers, evaluation, and scientific trust. Zhou is a palaeontologist, an Academician of the Chinese Academy of Sciences, and an international member of the US National Academy of Sciences. He is also editor-in-chief of The Intellectual (知识分子), China’s leading science commentary platform. His subject was uncomfortable enough for a room full of successful academics: what happens when the system for recognising good science starts rewarding something else? Part of my interest came from our sister newsletter, The East is Read, which covered the controversy around “Geng Tongxue” in May. A PhD dropout from Beihang University, Geng has publicly challenged papers by prominent researchers through detailed online allegations of manipulated images and fabricated data. At Tongji University, an investigation into a challenged Nature paper found academic misconduct, and the dean of its life sciences school was removed. The affair brought doubts about academic integrity well beyond laboratories and university committees. How could someone outside the established hierarchy spot problems in papers that had passed through prestigious journals and institutions? And what, exactly, had all that prestige guaranteed? Zhou approached these questions through two essays published in July by The Intellectual: one by Wang Xiaodong, director of the National Institute of Biological Sciences, Beijing, and a response by Wang Liming, of Shanghai’s Shangsi Institute of Natural Sciences. Both began with the controversy over Geng. Their arguments deserve a wider audience, so I want to put parts of them alongside what Zhou said on Saturday. Wang Xiaodong’s starting point is evolution. A research system selects for the behaviour it rewards. Grants, jobs, journals, talent programmes, and prizes collectively determine which scientists prosper and which practices get passed down from advisors to students. “Whatever the system rewards is what it will evolve to produce,” he writes, citing the ancient Chinese saying: The King of Chu loved slender waists, and many in the palace starved to death. That is a more demanding diagnosis than saying there are dishonest people in science. Punishing a fraudster does not change the selective environment that made a particular kind of research profitable. His account also gives scientific success an awkward role in the story. As Zhou put it on Saturday, science became a victim of its own success. Once research became central to industry, national power, and economic growth, universities and laboratories expanded, and public money followed. That created an administrative need for rapid decisions: who should get the next grant, the next laboratory, the next appointment? The difficulty is that the true value of a discovery may take years or decades of testing and building to become clear. Resource allocation cannot wait that long. Publication counts, journal prestige, impact factors, and citations therefore become convenient ways to make an instant judgement. “The real problem is not that these indicators have no value,” Wang Xiaodong writes, “but that they are trying to answer a question that only time can answer.” Telling administrators simply to stop counting papers will never be enough. They still have budgets to distribute and appointments to make. Something has to replace the shortcut. Zhou described the consequences inside publishing. Papers acquire ever more requirements: a complete story, polished presentation, extensive datasets, and accessibility to readers beyond the immediate field. Individually, those demands sound reasonable. Together, he warned, they produce formulaic “eight-legged” papers 八股文 and rigid reviewing, while genuinely original or non-consensus work struggles to get past journal editors—some of whom wield immense gatekeeping power despite having limited laboratory experience themselves. Meanwhile, the demands for sprawling, “complete” narratives have fuelled a wider replication crisis. Wang Xiaodong uses a mahjong metaphor to describe the result: put the complex papers published by the exact same lab over several years side by side, and they often look like “Thirteen Orphans” (十三不靠)—every tile completely unrelated to the next, and none of them reproducible by outsiders. Zhou also spoke frankly as an editor who has trouble finding reviewers. Everyone wants someone else to review their work; qualified senior researchers have little time to return the favour. The labour is anonymous, unpaid, and brings almost no institutional recognition, so it increasingly gets passed down to postdocs and graduate students. And while anonymity protects reviewers from rank and personal favours, hyper-specialisation means an author’s most qualified reviewer is often a direct competitor, shielded from accountability. The protection and the problem coexist. Wang Liming takes the argument a step further. The decisive change, in his essay, is the instant conversion of academic honour into material resources. Once a paper can be cashed in for funding, a job, students, commercial investment, or even a company valuation, scientists are alienated from their work: they must keep minting this “research currency” to keep their teams alive. He is careful not to romanticise the past. The old world of gentleman scientists—financially independent figures like Boyle and Darwin who needed nothing from external funders—was also a closed club that excluded people without inherited wealth, women, and much of humanity outside the West. Professional science allowed ordinary people, himself included, to become researchers. Nobody should want to undo that. The problem, in his account, is an exchange system that becomes too uniform and too difficult to correct. His most pointed Chinese example is the “hat” (帽子): the prestigious talent designation that brings continuing access to money, laboratory space, students, and institutional influence. “If papers are the circulating currency of the research system, then a ‘hat’ is a bond that pays interest over the long term,” he writes. A paper at least requires another round of peer review. A title in the Chinese context can lock in a judgement made years ago and turn it into permanent status rent, regardless of whether its holder is still doing good science. Here, official institutions hire, organise, and evaluate scientists. Unlike honours awarded by autonomous academic communities in the West, a Chinese “hat” blends non-scientist administrative power with state authority. Once granted, it turns a past judgement into permanent status rent that is nearly impossible to revoke—because taking a hat off would imply that official authority erred in putting it on. Both Wangs see China as experiencing, at compressed speed, pressures present across global science. Research expansion, rising investment, publication growth, and elaborate evaluation metrics arrived in China within two or three decades rather than two or three centuries. Zhou agreed with that international framing—noting that recent US White House science policy documents and the new president of the US National Academy of Sciences, a fellow palaeontologist who recently visited Zhou’s institute in Beijing, have raised strikingly similar warnings about consensus-bound peer review, short-term project grants, and the replication crisis. Still, Zhou emphasised that China’s traditional hierarchy, personal networks (guanxi), and the ethos that “a good scholar becomes an official” (学而优则仕) amplify those pressures at home. So what would change things? Here Zhou’s tone differed from the call for a revolution in scientific trust in Wang Xiaodong’s essay. As an evolutionary biologist, Zhou favoured patchwork repair (修修补补). Living systems survive through accumulated adjustments; dramatic mutations are usually fatal. Science cannot return to a small, slow-moving pastoral era, especially after the successive accelerations of professionalisation after the Second World War, the internet, and now artificial intelligence. But it can alter the local environment in which researchers work. He pointed to domestic experiments designed to support unconventional research and diversify funding, including Tencent’s New Cornerstone Investigator Program, the Xplorer Prize, and the Future Science Prize. He also mentioned participating in reviews for “major non-consensus projects” under the National Natural Science Foundation of China. One guiding principle he recalled was wonderfully direct: “Failure is allowed; corruption is not” (允许失败，不允许腐败). That distinction would mean quite a lot if taken seriously. An honest attempt that fails should not have to disguise itself as a success to survive an assessment. Wang Liming’s essay adds a sharp caveat to the optimism about new domestic funders. Multiple organisations do not automatically produce multiple ways of judging science. If the same pool of senior domestic scientists makes the decisions through the same two-round review procedures, it is still “fake diversity.” He argues for three distinct kinds of money: broad baseline funding governed by fair procedures; patient funding for questions that take ten years; and non-consensus funding based on individual taste, deliberately empowering a few genuine experts to make biased, contrarian bets on eccentric ideas that would inevitably be averaged out by a committee. Replacing one monopoly with another achieves little; a healthy ecosystem needs variance. Zhou’s proposals for publishing were similarly concrete: strip papers of their resource-allocation burden and return them to recording discoveries and establishing priority; separate dissemination from evaluation, as eLife and Peer Community In do; adopt more modular “micro-publications” and real-name endorsements; recognize the labour of editors and reviewers; and give replication work proper credit rather than treating it as an unpublishable dead end. AI makes every part of this debate more urgent—and Zhou wove it throughout his talk. In his own preparation, he used AI to survey the declining influence of academic monographs, noting how tools are already changing how scholars gather information. More fundamentally, he placed AI as the latest great acceleration in scientific history: just as the internet sped up the pace of research and tightened external resource pressures, AI is compressing the cycle again. In the essays Zhou cited, AI cuts both ways. Wang Xiaodong expects large language models to erase much of the English-writing disadvantage long faced by Chinese scientists, further swelling the flood of papers coming out of Chinese labs. Wang Liming sees AI accelerating both ends of the trust crisis: it lowers the cost of paper mills and fabricated images just as quickly as it lowers the cost of automated image forensics, data auditing, and code reproduction. “Whoever builds the verification layer wins,” Wang Liming writes. His proposed alternative to the static, packaged “story paper” is a continuously versioned “unit of discovery” containing a falsifiable claim, raw data, analysis code, experimental parameters, and an ongoing log of independent checks—where negative results and failed replications are recorded rather than buried. Zhou ended his keynote by bringing AI back to the question of scientific honour and credit. Citing a recent Intellectual discussion on “What AI Means for Mathematics” featuring Fields Medalist Deng Yu 邓煜—at a moment when AI is already batch-solving mathematical conjectures, as HKU Vice-President Lin Chen noted in his opening remarks—Zhou agreed that human researchers must remain the principal agents: AI is a tool that frees scientists from tedious calculation to think about deeper, messier real-world problems. Yet that partnership creates a thorny new evaluation problem. When a breakthrough is made with AI, what is the human contribution and what is the machine’s? And since AI models distil centuries of accumulated human scholarship, is it right that the credit and value flow so heavily to the private AI companies building the tools? The old struggle over how to assign scientific honour is acquiring a whole new layer. What I took away was a serious discussion of how science can remain trustworthy as its scale, incentives, and tools change. These were scientists with real standing inside China’s system questioning how that standing is produced, and proposing changes that would affect their own institutions and peers. That made the afternoon at HKU’s Beijing Centre worthwhile. At the close, Wang Feng, Director of Communications and Public Affairs at HKU, said the value of the forum series—which heads to Hangzhou in December and cities like Chengdu early next year—would lie in the real cooperation it helped bring about. The university has plenty to celebrate: this week it topped the QS Asia rankings for a second consecutive year, alongside its 11th-place position in the QS World University Rankings 2027. For me, bringing this debate to an audience beyond the people who review papers and allocate grants was a useful contribution. Share [ The East is Read PhD dropout’s exposé forces an academic fraud reckoning in China A former doctoral student turned blogger has shaken China’s academic establishment by publicly accusing prominent university scholars of fabricating data and manipulating papers, triggering investigations at several leading institutions and drawing rare attention from state media… Read more 5 months ago · 43 likes · 8 comments · Yuxuan JIA ](https://www.eastisread.com/p/phd-dropouts-expose-forces-an-academic?utm_source=substack&utm_campaign=post_embed&utm_medium=web&embedding_publication_id=47580)
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Zelda 40th Anniversary Switch 2 restock update: the Nintendo Store remains your best bet
🎮 The Zelda 40th anniversary Switch 2 was released on October 29 and flashed in and out of stock at the Nintendo Store 🚨 Our Zelda Switch 2 restock tracker @mattswider on X will send out an alert as soon as stock appears 👀 Walmart was our top pick to have a restock, but a supply chain delay has pushed the date back ⌚ In-store midnight launches are being held at GameStop, Best Buy, and Nintendo New York/San Francisco Walmart: Zelda Switch 2 console Best Buy: Zelda Switch 2 console GameStop: Zelda Switch 2 console Nintendo: Zelda Switch 2 console 🚨 We’re tracking Zelda Switch 2 stock updates. If you’d like to know when more stock arrives, follow Matt Swider on X and turn on notifications. You can also become a free or paid subscriber to The Shortcut to help support our work. 🚨 The Legend of Zelda 40th Anniversary Switch 2 launched yesterday, and it was the Nintendo Store that held the most restocks. The console flashed in and out of stock repeatedly throughout the day as limited units were sold and quickly snapped up. 🚨 Want the Zelda 40th Anniversary Switch 2? Drop your email for restock alerts before it sells out. ⤵️ Subscribe Many were met with error messages, “sold out” signs, or “couldn’t add the required amount” to their baskets. However, with a little persistence and luck, others were more successful. As it stands, it’s the best place to try to get the Zelda Switch 2, even if the experience can be a little frustrating. We’re expecting a similar situation today as our tracker continues to receive restock alerts. However, we’re reluctant to share them all as many have been false flags, but we immediately notified The Shortcut followers once the first restock went live. [ The Shortcut@theshortcut Zelda Switch 2 is back in stock at the Nintendo Store: nintendo.com Nintendo Switch™ 2 – The Legend of Zelda™ – 40th Anniversary Edition - Nintendo Official Site 4:18 PM · Oct 29, 2026 · 2.09K Views 2 Replies · 2 Likes ](https://x.com/theshortcut/status/2115840807773299128?a=b6yhtCFmoswv5lWWvEs&s=20) Amazon was the only other retailer to hold an online restock, though it sold out almost instantly. No more restocks took place, and sadly, the major Walmart restock of the Zelda Switch 2, which we were confident would take place, did not happen because of a supply chain issue. [ Matt Swider (The Shortcut)@mattswider ](https://x.com/mattswider/status/2115824408938111299?a=quc3qYd6I_Qe5wag2lU&s=20) 🚨 Zelda Switch 2 console at Amazon right now amazon.com/dp/B0HJ6F8L6V?… amazon.com Nintendo Switch™ 2 –The Legend of Zelda™ – 40th Anniversary Edition 3:13 PM · Oct 29, 2026 · 76.7K Views 32 Replies · 4 Reposts · 57 Likes The console will now be available to order online at Walmart on November 6, with Target also offering the same date. Some lucky shoppers could also get the Zelda Switch 2 in-store, with The Shortcut readers sharing their personal accounts of getting the console at Walmart and helping each other out. If you’re willing to travel to your local store, Best Buy and Nintendo are holding in-store events on November 5 (though you’ll need a Warp Pipe Pass for Nintendo’s event). GameStop is also letting customers pre-order in-store.. We’ll still be tracking every retailer with our exclusive Zelda 40th anniversary Switch 2 restock tracker, which provides up-to-the-second information when the Zelda Switch 2 is in stock. If the console appears – which it might – our followers will still be the first to know. Up next: PS5 Pro restock: it’s available again, but you’re paying more than you should Subscribe Adam Vjestica is The Shortcut’s Senior Editor. Formerly TechRadar’s Gaming Hardware Editor, Adam has also worked at Nintendo of Europe as a Content Marketing Editor, where he helped launch the Nintendo Switch. He also runs a retro gaming YouTube channel called Game on, boy! Follow him on X @ItsMrProducts.
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Zelda 40th Anniversary Switch 2 restock: Walmart and Target confirm exact release dates
🎮 The Zelda 40th anniversary Switch 2 is out today, October 29, but Walmart and Target are planning online restocks for November 6 🚨 Our Zelda Switch 2 restock tracker @mattswider on X will send out an alert as soon as stock appears 👀 Walmart was our top pick to have a restock, but a supply chain delay has pushed the date back ⌚ GameStop, Best Buy, and Nintendo are holding in-store midnight launches where units will be available Walmart: Zelda Switch 2 console Best Buy: Zelda Switch 2 console GameStop: Zelda Switch 2 console Target: Zelda Switch 2 console Nintendo: Zelda Switch 2 console 🚨 We’re tracking Zelda Switch 2 stock updates. If you’d like to know when more stock arrives, follow Matt Swider on X and turn on notifications. You can also become a free or paid subscriber to The Shortcut to help support our work. 🚨 A new update has dashed our hopes of a major Walmart restock of the Zelda Switch 2 console, which we were confident would happen today. However, a new Reddit post (thanks, Wario64) has revealed that Walmart is waiting until at least November 6 to sell the special edition console online. 🚨 Want the Zelda 40th Anniversary Switch 2? Drop your email for restock alerts before it sells out. ⤵️ Subscribe A employee note says: “Due to a supply chain delay, some stores may not receive the Nintendo Switch 2 Zelda 40th Anniversary Edition in time for its planned Oct. 29 release. To allow time to fulfill preorders and reshop inventory as needed, the point-of-sale (POS) block will remain in place through at least Friday, Nov. 6. As inventory arrives, orders will be fulfilled based on preorder priority and available inventory.” The Redditor who posted the news shared that some people were able to get the console from Walmart after 8:00am local time, so there is still hope. Target recently updated its Zelda Switch 2 listing to reveal that it will also start taking orders of on November 6, with in stores orders beginning November 5. Clearly, the supply chain delay is impacting other stores, otherwise we likely would have seen a restock take place today, as we initially predicted. We now know that Walmart and Target will be taking online orders, and that Best Buy and Nintendo are holding in-store events on November 5. GameStop is also letting customers pre-order in-store via their website. Despite the news, we’ll still be tracking every retailer with our restock tracker, which provides up-to-the-second information whether something is in stock. If the Zelda Switch 2 does appear – which it might – our followers will still be one of the first to know. Up next: PS5 Pro restock: it’s available again, but you’re paying more than you should Subscribe Adam Vjestica is The Shortcut’s Senior Editor. Formerly TechRadar’s Gaming Hardware Editor, Adam has also worked at Nintendo of Europe as a Content Marketing Editor, where he helped launch the Nintendo Switch. He also runs a retro gaming YouTube channel called Game on, boy! Follow him on X @ItsMrProducts.
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Nintendo joins Best Buy for midnight Zelda 40th Anniversary Switch 2 restock launch
📅 The Zelda 40th Anniversary Switch 2 releases on Thursday, October 27 🚨 Our Zelda Switch 2 restock tracker @mattswider on X will send out an alert when stock appears 😲 Nintendo Store held a surprise restock on October 26 and is holding a midnight launch event on November 5 🙏 Other retailers may be holding back stock for launch day, too Walmart: Zelda Switch 2 console Best Buy: Zelda Switch 2 console GameStop: Zelda Switch 2 console Target: Zelda Switch 2 console Nintendo: Zelda Switch 2 console 🚨 We’re tracking Zelda Switch 2 stock updates. If you’d like to know when more stock arrives, follow Matt Swider on X and turn on notifications. You can also become a free or paid subscriber to The Shortcut to help support our work. 🚨 🚨 Want the Zelda 40th Anniversary Switch 2? Drop your email for restock alerts before it sells out. ⤵️ Subscribe We’re expecting to see a Zelda 40th anniversary Switch 2 restock tomorrow at major retailers like Walmart, as the console and Pro Controller are set to launch. However, Nintendo has joined Best Buy in announcing a midnight launch event for The Legend of Zelda: Ocarina of Time on November 5, where limited quantities of the special edition console will be available. There is a catch, though. To attend the in-store event, which will be held on November 4 at Nintendo San Francisco and November 5 at Nintendo New York, a Warp Pipe Pass is required, which means capacity will be limited. If you’re lucky enough to receive a Warp Pipe Pass (they’re currently fully booked), you’ll be able to purchase The Legend of Zelda 40th Anniversary Edition console, Zelda 40th Anniversary Nintendo Switch 2 Pro Controller and display stand, the Zelda 40th Anniversary Switch 2 Pro Controller on its own, and the Zelda 40th Anniversary carrying case and screen protector. Purchases will be limited to one “per customer” and will be sold on a “first come, first served basis.” Why you should follow our Zelda Switch 2 restock tracker Obviously, many will be looking to receive the Zelda Switch 2 before November 5, and an instore event isn’t exactly ideal for many. That’s where our exclusive Zelda Switch 2 restock tracker comes in, as we’re providing up-to-the-second US store inventory checks. Those who follow Matt Swider on X and turn on notifications will be the first to know when new stock is live, as you can see in the post below. [ Matt Swider (The Shortcut)@mattswider ](https://x.com/mattswider/status/2114758291322757239?s=20) Zelda Switch 2 console in stock at the Nintendo Store nintendo.com/us/store/produ… 4:37 PM · Oct 26, 2026 · 67K Views 18 Replies · 4 Reposts · 75 Likes We’re strongly expecting retailers like Walmart to have stock on launch day, especially as it’s the largest retailer in the US. Cancellations can also occur in the run up to release, meaning more stock is made available that was previously taken. Thursday and Friday mornings is also when Walmart tends to offer restocks online. We’re predicting other retailers like Target, GameStop and Amazon will also get a new wave of consoles on launch day, and we’ll notify you if and when any Zelda Switch 2 restocks appear. You can trust our restock tracker as we helped over 400,000 people buy Sony’s console when it was in and out of stock for two years. We’ve since made it our goal to help our subscribers purchase hard-to-find items. We’ve done the same with the PS5 30th anniversary edition and many more in-demand products. Up next: Zelda 40th Anniversary Switch 2 Pro Controller restock looks increasingly likely at Nintendo Store Subscribe Adam Vjestica is The Shortcut’s Senior Editor. Formerly TechRadar’s Gaming Hardware Editor, Adam has also worked at Nintendo of Europe as a Content Marketing Editor, where he helped launch the Nintendo Switch. He also runs a retro gaming YouTube channel called Game on, boy! Follow him on X @ItsMrProducts.
Zelda 40th Anniversary Nintendo Switch 2 restock signals good news for launch day buyers
📅 The Zelda 40th Anniversary Switch 2 releases on Thursday, October 27 🚨 Our Zelda Switch 2 restock tracker @mattswider on X will send out an alert when stock appears 😲 Nintendo Store held a surprise restock yesterday, which is good news for other retailers 🙏 It suggests other retailers may be holding back launch day stock, too Walmart: Zelda Switch 2 console Best Buy: Zelda Switch 2 console GameStop: Zelda Switch 2 console Target: Zelda Switch 2 console Nintendo: Zelda Switch 2 console 🚨 We’re tracking Zelda Switch 2 stock updates. If you’d like to know when more stock arrives, follow Matt Swider on X and turn on notifications. You can also become a free or paid subscriber to The Shortcut to help support our work. 🚨 🚨 Want the Zelda 40th Anniversary Switch 2? Drop your email for restock alerts before it sells out. ⤵️ Subscribe We predicted that a Legend of Zelda 40th Anniversary Switch 2 restock would happen on launch day, October 29, and we’re now even more confident after the Nintendo Store’s surprise restock yesterday. Our followers were the first to know that the Zelda Switch 2 was back in stock at the Nintendo Store, and the console even promised to arrive on launch day if you managed to secure one. [ Matt Swider (The Shortcut)@mattswider ](https://x.com/mattswider/status/2114758291322757239?s=20) Zelda Switch 2 console in stock at the Nintendo Store nintendo.com/us/store/produ… 4:37 PM · Oct 26, 2026 · 67K Views 18 Replies · 4 Reposts · 75 Likes It strongly suggests that other retailers such as Walmart, Target, GameStop, Amazon and Best Buy will have more units – albeit in limited quantities – on launch day for those who currently don’t have a pre-order. Retailers often hold back stock for launch day buyers who haven’t pre-ordered. Cancellations can also occur in the run up to release, meaning more stock is made available that was previously snapped up. Zelda Switch 2 restock – why Walmart will have stock Walmart historically holds back extra stock for launch day, and we’re expecting the same to happen on October 29. As the largest retailer in the US, it usually has the biggest stock allocation, and Thursday and Friday mornings is when the retailer tends to offer restocks online. As we mentioned previously, Nintendo was also a retailer to watch – and it went live with a restock earlier than we thought. It had previously promised the Zelda 40th anniversary Switch 2 would be “replenished”, and it offered a limited amount of stock for those who were lucky enough to snag one. (Hint: Followers of Matt Swider on X and our restock tracker were first in line.) We’re expecting other retailers like Target, GameStop and Amazon to get a new wave consoles on launch day, and we’ll notify you if and when any Zelda Switch 2 restocks appear. Why you should follow our Zelda Switch 2 restock tracker Remember when you couldn’t find a PS5 for nearly two years? Not our followers. We helped over 400,000 people buy Sony’s console when it was in and out of stock, and we’ve since made it our goal to help our subscribers bag hard-to-find times. We’ve done the same with the PS5 30th anniversary edition, Nintendo Switch 2, and many more in-demand products. With up-to-the-second US store inventory checks, The Shortcut and Matt Swider on X offers exclusive Zelda 40th anniversary Switch restock updates. You’ll also receive an instant notification on X (if set to on) as soon as new stock arrives. Up next: Zelda 40th Anniversary Switch 2 Pro Controller restock looks increasingly likely at Nintendo Store Subscribe Adam Vjestica is The Shortcut’s Senior Editor. Formerly TechRadar’s Gaming Hardware Editor, Adam has also worked at Nintendo of Europe as a Content Marketing Editor, where he helped launch the Nintendo Switch. He also runs a retro gaming YouTube channel called Game on, boy! Follow him on X @ItsMrProducts.
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Zelda 40th Anniversary Switch 2 Pro Controller restock tracker: we’re watching these retailers
🎮 Nintendo will release a Zelda 40th anniversary Switch 2 Pro Controller on October 29 💰 It costs $99.99, the same as other limited editions 📅 A restock could occur on launch day at Walmart and Best Buy 🚨 Our Zelda Switch 2 Pro Controller restock tracker @mattswider on X will send out an alert when stock appears Walmart: Zelda Pro Controller Best Buy: Zelda Pro Controller Amazon: Zelda Pro Controller Target: Zelda Pro Controller GameStop: Zelda Pro Controller Nintendo is releasing a special limited edition Nintendo Switch 2 Pro Controller to celebrate the 40th anniversary of The Legend of Zelda series. It releases on October 29, 2026, which is when we expect to see a long-awaited restock of the hard-to-find controller. 🚨 We’re tracking Zelda Switch 2 Pro Controller stock updates. If you’d like to know when more stock arrives, follow Matt Swider on X and turn on notifications. You can also become a free or paid subscriber to The Shortcut to help support our work. 🚨 The Switch 2 Pro Controller features the same striking gold and royal emerald color scheme of the Nintendo Switch 2 The Legend of Zelda 40th anniversary edition, and also includes a fun little easter egg on the back: an 8-Bit Link. 🚨 Want the Zelda 40th Anniversary Switch 2 Pro Controller? Drop your email for restock alerts before it sells out. ⤵️ Subscribe This is the same Nintendo Switch 2 Pro Controller we’re used to, aside from the intricate design, but it means you’ll have to pay more as a result. It costs $99.99 instead of the standard $89.99. However, the Pro Controller is the easiest way to play the best Switch 2 games in TV mode. If you’ve been searching for a Zelda 40th Anniversary Switch 2 Pro Controller restock, here’s everything you need to know. Zelda 40th anniversary Switch 2 Pro Controller should restock at these retailers We’ve seen retailers such as Walmart and Best Buy restock items on release day, even when pre-orders have sold out. It’s likely that the Zelda Switch 2 Pro Controller will be up for grabs on October 29, 2026, when the controller and console launches. Demand will be high, and stock could sell out fast. However, we’ll be keeping a close eye on every major retailer, including Target, Amazon, GameStop, and the Nintendo Store and will alert our followers as soon as stock goes live. Why you can trust our Zelda Switch 2 Pro Controller restock tracker We’ve already helped over 400,000 people buy a PS5 when it was in and out of stock during Covid, and we’ve helped our subscribers continue to secure hard-to-find items. The Shortcut followers were some of the first to secure the Switch 2 when it went on sale, and we’ve also helped countless others snag limited edition consoles like the PS5 30th anniversary edition. The Shortcut and Matt Swider on X offer exclusive Zelda 40th anniversary Switch 2 Pro Controller restock updates with up-to-the-second US store inventory checks at the biggest retailers. You’ll receive an instant notification on X (if set to on) as soon as new stock arrives. Up next: Call of Duty: Modern Warfare 4 review roundup: ‘a strong return to form’ Subscribe Adam Vjestica is The Shortcut’s Senior Editor. Formerly TechRadar’s Gaming Hardware Editor, Adam has also worked at Nintendo of Europe as a Content Marketing Editor, where he helped launch the Nintendo Switch. He also runs a retro gaming YouTube channel called Game on, boy! Follow him on X @ItsMrProducts.
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Rhiannon Mayne, Oscar and Juanita Monnig Endowed Chair of Meteoritics and Planetary Science at Texas Christian University, was recently awarded a $3.6 million grant from NASA that will use West Texas’
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Engrams Embedding Entendre: Codesign for Efficient DRAM/SSD Offloading
Engram extends standard token embeddings with learned multi-token lookups. Recurring local patterns retrieve vectors directly, reducing the need to reconstruct them through attention and feed-forward layers. With Engram model architecture optimization, it allows for lower HBM capacity to be needed for models at the same quality. This does not mean there won’t be an insane demand for HBM but it just means that model architecture will continue to innovate around constraints. This model architecture design is naturally codesigned for parameter offloading: each token accesses a few embedding rows whose addresses depend on token IDs, not hidden states. The runtime can prefetch those rows from host DRAM while earlier layers compute, keeping the table outside HBM without transferring entire weight matrices. Our Memory model contains our latest estimates of quarter by quarter HBM, DRAM, & NAND supply and demand. Offloading frees HBM for model weights and KV cache, potentially supporting larger batches or more concurrent sessions. When DRAM becomes the next constraint, NVMe offers another tier. Recommendation systems already cache frequently or recently accessed embedding rows in faster memory while backing colder rows with SSDs. After NVIDIA roadmap had to change due to massively despec’ing Rubin Ultra from 1024GB to now ~200GB of HBM per chip, model architecture optimizations like emgram maybe helpful. Our DeepSeek-V4.1-Flash configuration uses roughly 189 GiB of memory for Engram. We replace it with a memory-mapped (mmap) file and measure serving performance with offload to SSD. Later on in our report, we will show our Engram offloading experiments along with the official InferenceX agentic inference serving results on Engram models like DeepSeekv4.1 Flash across all 6 NVIDIA GPU SKUs along with MI355X. Unsurprisingly, the CUDA Moat is still mogging MI355X on the ultra popular DeepSeekV4.1 Flash model. We also show how even on high capacity HBM SKUs, offloading emgrams to DRAM could result in even better performance for most of the pareto than keeping the emgram in HBM. Our benchmark has been widely reproduced, validated and/or supported by almost every major buyer of compute from Google Cloud to Microsoft Azure to Oracle, to Meta and many more. Furthermore, it has the support of the ML community including from vLLM, LMCache, SGLang, PyTorch, Huggingface and the support of major labs like OpenAI, MiniMax, ZAI, Qwen, Moonshot Kimi, etc. Star the InferenceX GitHub repository if you find the open-source benchmark and data useful!. InferenceX is the only inference benchmark in the world to have TPUv7, Jalapeño, Nvidia Rubin NVL72, AMD, and soon, SambaNova and Trainium. Due to how realistic AgentX scenario is to real world agentic inference workloads, AMD has committed to collaborating on MI455X UALoE72 too. DeepSeek did not release the original paper’s two trained Engram models. We replicated its setup on fineweb-edu using the released code and training hyperparameters, at an estimated 6E18 FLOPs per run. We observed the same U-shape scaling: Engram improved performance over pure MoE baselines. We also reproduced DeepSeek’s results, where earlier-layer representations with Engram resembled those of later layers. Like the original Engram paper, it is possible to probe Engram’s gate scores to see what n-grams DeepSeek-V4.1-Flash makes the most use of. Our gate scan finds names, code fragments, relational phrasing, and boilerplate. These examples prioritize interesting-ness over gate strength. One unexpected result was Wright : Ace Attorney. These examples suggest learned memory optimizes the training objective, not a judgment of which facts deserve storage. Licenses, bibliography fragments, API scaffolding, and website furniture can provide prediction shortcuts, so the value of additional Engram capacity may depend on what survives data preparation. This does not show that table capacity is “wasted”: the evaluation-corpus scan establishes neither training exposure nor the capacity occupied by each category. For offloading, strong gates do not identify cache-hot rows. Low gates do not automatically save reads either: computing the gate requires the retrieved key and undoes the performance gain of a fused kernel. Skipping reads would require a separate usefulness predictor before retrieval. In the original paper’s inference-time ablation, factual-knowledge benchmarks retained just 29–44% of their original performance, while reading comprehension retained 81–93%. This is due to the training–inference mismatch. The resulting degradation therefore measures this trained model’s dependence on Engram, not the performance difference between models trained with and without it. In our ablations, suppressing Engram worsens token likelihood across all evaluated domains, especially encyclopedia text and several code corpora. Surprisingly, GSM8K accuracy stays within measured run-to-run variation and removing Engram has no effect. Engram is not a detachable dictionary beside an unchanged MoE. Removing it changes downstream features and expert selection. We tested whether rerouting hurts or compensates by holding tokens fixed in a teacher-forced experiment on CRUXEval, a code-reasoning benchmark of small Python functions where the model predicts a function’s output from its code and an input, and scoring the reference answer. Removing Engram raised answer loss from 0.2848 to 0.3093 bits/token. Forcing the ablated model to use the original Engram-on expert choices made it worse still, at 0.3375 bits/token. Rerouting partially compensates for the missing memory. Memory features and expert selection work together, rather than following a clean “memory stores facts; experts reason” division. On the same CRUXeval, removing Engram during either phase reduced accuracy and increased generated tokens; removing it throughout produced the largest changes. Keeping Engram for prefill leads to more correct answers than keeping for decode likely due to semantically richer KV cache transferred to decode workers, allowing it to mitigate some of the performance loss. Engram’s table is large, but each lookup is small. DeepSeek-V4.1-Flash requests 24 rows at each of two Engram layers, about 12.4 KiB per processed token position across the model, or 3.1 KiB per GPU when split across four GPUs. Currently as of Day 7 since Model Release, MI355X is still 2-4x worse performance per dollar compared to B200 even when normalized by Mi355X’s lower TCO. Our full total cost of ownership breakdown comes from our AI Cloud TCO Model along with monthly market surveys of over 100+ gpu clouds & gpu cloud customers. On the Day 0 release of DeepSeekv4.1 Flash, NVIDIA vLLM works out of the box with zero issues across all 6 SKUs: H100, H200, B200, B300, GB200, GB300! This was thanks to the amazing work by the NVIDIA & Interact teams! In comparison, AMD vLLM did not work on day 0 for DeepSeekv4.1 Flash.Source: SemiAnalysis InferenceX AMD’s vLLM documentation points to using vllm/vllm-openai-rocm:deepseekv41-flash-0909, but from hour 0 of the model release to hour 23, AMD has not publicly released the image. AMD claims, “SPEED IS THE MOAT,” yet it has still not released it by the 23rd hour. We wish that, going forward, the AMD team has a better process for hour 0 model releases. Eventually when they did publicly release for “day 0” image support, performance-wise, it is currently up to 14.8x worse perf per dollar than H200 and up to 42x worse perf per dollar than B200/B300. The power of the CUDA MOAT is NVIDIA’s collaboration with its massive 6 million-developer community ecosystem including most of the vLLM & SGLang & Tokenspeed maintainers which means that CUDA is optimized on day 0. Overall, AMD did make significant improvements but the performance per dollar is still currently 2-4x worse than B200. AgentX Engram DRAM Offloading Improving Performance The HBM and DRAM offload use the same GPU kernel to select and dequantize rows. With HBM, it reads GPU memory; with Unified Virtual Addressing (UVA), it reads pinned host memory directly. Both support full decode graphs. Moving the table into HBM accelerates only the sparse lookup, leaving decoder computation and communication unchanged, resulting in little overall benefit while consuming memory otherwise available to KV cache. Another benefit of Engram offloaded to DRAM which means you can reduce the communication overhead by using less HBM GPUs per replica. For example, when enabling Engram offloading on B300, we are able to switch from TP4 to now TP2 which improves the pareto curve by up to 1.6x. When iso-model quality, less HBM is required as the engrams could be offloaded to host DRAM. Thus HBM bandwidth matters way more than HBM capacity. For inference workloads where memory bandwidth matters the most, 4-hi HBM provides the best $/bandwidth and therefore lowest cost per token. If China continues to make more and more revolutionary model architecture innovations, soon it could potentially 0Hi HBM stacks. [ ](https://newsletter.semianalysis.com/p/long-live-the-short-king-why-4-hi) [ Long Live the Short King: Why 4-hi HBM Wins ](https://newsletter.semianalysis.com/p/long-live-the-short-king-why-4-hi) Myron Xie, Bryan Shan, and 3 others · Sep 13 [ Read full story ](https://newsletter.semianalysis.com/p/long-live-the-short-king-why-4-hi) Moreover, on B300 and week-0 stack, moving the Engram table back to HBM did not improve results and stay within run-to-run variance. This is a result of the work optimizing DRAM offload, such as async, and overlap. SSD Offloading On B200, we created a unoptimized vLLM fork and stored the Engram tables in memory-mapped files on local SSDs. File backing lets the OS reclaim table pages when other applications need RAM. Pages already cached in memory can be served without reading the SSD again. Furthermore, note that we were unable to turn on GDS The unoptimized SSD implementation changes how rows reach the GPU. It copies row IDs to the CPU, deduplicates them, gathers the requested rows into pinned buffers, copies those rows back to the GPU and dequantizes them. This work runs between segments of the GPU execution graph. Native UVA performs row selection and dequantization directly on the GPU, avoiding the CPU round trip. A warm filesystem cache removes physical SSD reads, but leaves the coordination, row gathering and transfers. This is why a file already cached in RAM can still perform worse than a pinned DRAM table. The comparison measures the whole serving path; it does not separate the time spent on each of these operations. B200 DRAM dominates both measured SSD serving curves in total tokens per dollar and P90 interactivity. Near 125 tokens/s/user, DRAM delivers 121 million total tokens per dollar versus 52 million for SSD. For production serving, SSD offloading is likely not worth the tradeoff. On the B200 configurations we measured, SSD offloading loses on both measures: every observed SSD point has a DRAM alternative that delivers higher P90 interactivity and more total tokens per dollar. The only points where Cheaper storage does not automatically produce a cheaper inference service. Moving Engram to SSD leaves the same four expensive GPUs and the rest of the server in place. Reclaiming RAM only creates an economic benefit if it enables a cheaper server configuration or additional useful capacity. The current unoptimized path provides neither benefit, and the filesystem cache still consumes RAM when table pages are resident. Next we will look at the mechanisms and specific implementation of ngrams from DeepSeekv4.1 Flash, LongCat, Qwen3.8 Flash Next.
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Scientists found an estimated 5.5 million wild bees living beneath a New York cemetery — millions of solitary insects packed into underground burrows across just 1.5 acres, creating one of the largest nesting aggregations ever recorded at a site where the species has quietly survived for generations
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Letter to the Editor
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For at least 1 week, Bill Belichick has quieted the noise at UNC — and even cracked a smile
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What does UNC Tar Heels week zero win mean for Bill Belichick?
UNC opened Bill Belichick’s second season with a 15-10 upset of TCU in Dublin, giving the Tar Heels an early boost after a turbulent offseason in Chapel Hill.
North Carolina opens Belichick's second season with 15-10 win over TCU
Belichick, who won six Super Bowls as an NFL head coach, was 4-8 in his college debut with the Tar Heels last year.
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ChatGPT gets a handy shortcut to attach recent photos more quickly
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Third macOS Golden Gate Public Beta Now Available
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Battle your way to Diamond or above in Reload Ranked in this season or previous seasons to be eligible for Reload Test Cup (Diamond)! This is a test tournament and there will be no prizing associated with this event. Good luck and have fun!
Gemini for Mac Adds System-Wide Voice Dictation and Screen-Aware Commands
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The new, wide Galaxy Z Fold 8 revealed by BTS member J-Hope
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Citizen Scientists Helped Decipher How Harvestmen Became Oddly Devoted Dads
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Plants that make real dairy protein? Scientists discover an unexpected shortcut
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These 7 Android shortcuts changed how I use my phone every single day
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OpenAI launched Codex Micro, a shortcut keyboard for users of its AI coding product. It was engineered by Work Louder and priced at $230.
TCU Alumnus Named to National College Sports Leadership Role
Kenny Thompson Jr. ’03 has been named the inaugural head of strategic communications and external affairs for the College Sports Commission.