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‘Intrinsic Capacity’: The Most Important Longevity Term You’ve Never Heard of
Intrinsic capacity is quickly becoming a preferred way to measure and assess human aging.
Shift Prem Cup back
I’M not a fan of having the Prem Cup preceding the proper Prem season. As last week showed, some teams treat it like an extension of pre-season, some give the kids a run and a few actually look like they want to win it. I preferred it when August was for pre-season matches and the […] The post Shift Prem Cup back appeared first on The Rugby Paper.
Rams vs Bills Odds, Picks, Parlay for Monday Night Football
If you want more Action Network content, be sure to add us as a preferred source on Google. NFL Week 5 saves the best for last as Monday Night Football
Ice Age humans preferred hunting female woolly mammoths
Scientists also found a mammoth that was neither biologically female or male.
Google gives publishers a new way to fight AI-driven traffic losses
Google is giving publishers a new button that lets readers make them a preferred source across Search, Discover, and Google News, potentially boosting their traffic as AI search sends fewer clicks to the web.
Detroit's Dylan Larkin 'wants to be' in Minnesota, insider says
With the season less than a month away, Dylan Larkin may still be focused on his exit from Detroit, with Minnesota as his preferred landing spot.
Android 17 QPR 2 Beta 3 takes cell network security to the next level
Android 17 QPR 2 Beta 3 upgrades mobile network security with a SIM security timeline, cipher details, and expanded cellular attack alerts.
Scientists Finally Tested Whether Leftovers Actually Taste Better the Next Day
In a blind taste test, butter chicken was the only dish people clearly preferred the next day. Lasagna, sadly, was basically a wash.
You may actually like eating bugs
Volunteers in a new study preferred an insect protein bar over a cereal bar.
An embattled Donald Trump is increasingly using sports as prop
Sports is the rare topic in which the president has succeeded in shifting the conversation to his preferred terms
Rep. Kevin Hern wins Oklahoma GOP nomination for U.S. Senate, governor's race heads to runoff
The primary had Republicans picking their preferred successor to outgoing Republican Gov. Kevin Stitt and a nominee for the Senate seat once held by Homeland Security Secretary Markwayne Mullin.
Matthias Jaissle Reveals Why Newcastle Was the Right Choice
Newcastle United has shown early signs of Matthias Jaissle’s preferred style of play during the opening weeks of his tenure, but the head coach believes the team remains several months away from reaching its ultimate footballing identity. In an interview with multiple media members during the international break, including The Athletic’s Chris Waugh, Jaissle revealed […]
The SEC in a Sentence: Magnolia State Magic Edition
Welcome to the SEC in a sentence, in which we attempt to distill yet another wild and crazy weekend of SEC football into, but a single sentence for each of the leagues 16 combatants. It was another wild one, perhaps wilder that some teams (lookin’ at you, Aggieland) would have preferred. But that’s why we […]
Kustom Entertainment Extends Cycurion Asset Sale, Gets $250,000 Cash and $600,000 Preferred
Kustom Entertainment entered into an amendment and forbearance/extension to its Asset Purchase Agreement with Cycurion for the sale of its video-solutions division. The amended terms provide an immediate, non-refundable $250,000 cash payment and replace 2,000,000 warrants with $600,000 of 12% Serie…
Heart health enters the future with a $28.7 million gift from the Marcus Foundation
Related News USC Stem Cell welcomes new leader, renowned physician-scientist Chuck Murry August 20, 2024 An early blood test can predict survival in patients with metastatic prostate cancer, shows USC […]
Gyokeres shows again why he should not start for Arsenal
Viktor Gyokeres has sat on the bench in Arsenal’s first four competitive matches of the season, failing to come on in their opening two league games as Kai Havertz was preferred.The decision was baf...
Preferred Behavioral Health Group Names Stacey Shultz as Chief Financial Officer
Experienced nonprofit finance executive brings decades of financial leadership to growing behavioral health organization LAKEWOOD, N.J. — Preferred Behavioral Health Group (PBHG), a leading provider of behavioral health services throughout New Jersey, today announced the appointment of Stacey G. Shultz, CPA, as Chief Financial Officer. Shultz brings decades of financial management and leadership experience to PBHG, with[...]
Talkiatry Earns Joint Commission Accreditation for Behavioral Health Care
/PRNewswire/ -- Talkiatry, the nation's largest psychiatric provider group and the preferred in-network psychiatry partner for more than 70 U.S. health...
Anthony Edwards has accepted that LeBron James won't be playing for the Timberwolves
Anthony Edwards knows that LeBron James has not considered the Timberwolves in his preferred landing spots.
Germany’s Political Tailspin: Your Weekly SPIEGEL Recap
It might be tempting to dismiss the results of last Sunday’s state election in Saxony-Anhalt, in which the far-right Alternative for Germany (AfD) party raked in 43.8 percent of the vote, as a rather unimportant extremist blip in a state that hardly anyone can find on the map. And you wouldn’t necessarily be wrong to do so. The state’s population – around 2.1 million – is a mere 2.5 percent of the German total. And while the state capital of Magdeburg was once the political heart of the Holy Roman Empire back when Otto the Great used to hang out there (more than a millenium … no … milennium … nope … millennium ago), it is today something of a backwater, albeit one with a ginormous cathedral in its center. We wanted to briefly interrupt this week’s newsletter to extend a heartfelt thank you to all of our subscribers, both new and old. And to remind you all that a free subscription gets you access to this newsletter every Saturday. A paid subscription, by contrast, gets you one DER SPIEGEL article every weekday, delivered to your inbox. We strive to select pieces that both demonstrate what Europe’s leading newsmagazine has to offer and provide an international audience – namely, you – with an insight into how Germany and Europe view the world. If you haven’t already signed up for a paid subscription, please consider doing so if you can. Our Substack channel relies entirely on reader support and we are excited to continue offering you the best of DER SPIEGEL. Subscribe But even beyond the fact that a huge percentage of the voters in the state decided to place an X next to a party with an ideological lineage that runs rather directly back to the right-wing extremist soup out of which the Nazi Party was born, the results are a perfect example of a phenomenon that has been plaguing German elections in recent years: the lack of an obvious path to a majority. Call it the Balkanization of German politics. There are a number of developments driving the phenomenon, but for the purposes of this newsletter, here are two of the most salient: Persistent voter frustration with the country’s two (former) big-tent parties – the Christian Democrats (CDU) on the center-right (17.2 percent in Saxony-Anhalt last Sunday) and the Social Democrats (SPD) on the center-left (9.3 percent). The presence of parties on the far left (Left Party), the populist left (the Sahra Wagenknecht Alliance – BSW) and the far right (AfD) with which mainstream parties are reluctant to form coalitions. So what happens now? Stories of the Week A Lack of Leadership The answer for many people in the country, and particularly within the CDU, is clear: pin (some of) the blame on Chancellor Friedrich Merz. According to a survey taken directly after the election in Saxony-Anhalt, 88 percent of respondents agreed with the statement that if the federal government in Berlin were doing a better job, the AfD wouldn’t be as strong. And it is true that the predominant impression of the federal government ever since Merz was sworn in on May 6, 2025, is one of ineffectiveness and bickering. His rather unique combination of bumbling-plus-bravado has also not exactly endeared him to the German public. Indeed, his standing in the country is so shaky that his popularity – according to recent polls – has now dropped even below the historic lows associated with his predecessor Olaf Scholz. The situation is such that the CDU even opted to keep him largely out of the campaign ahead of the Saxony-Anhalt vote. And since then, dissatisfied rumblings within the CDU have grown louder. DER SPIEGEL’s Swantje Karich notes that the problems with the CDU go much deeper than Merz. “The center-right has a trust problem. At a press appearance following the devastating election result in Saxony-Anhalt, Friedrich Merz said that the party wanted to ‘reach people more effectively’ through ‘emotional engagement.’ It sounded as though he were announcing a political program. On the basis of that statement, it is difficult to take his empathy seriously.” “The Chancellor’s chastened appearance did, at least, reveal where he stands: with his back to the wall. Elections will be held in Mecklenburg-Western Pomerania next week, and the CDU could fare even worse there. The party is polling at between 8 and 10 percent in the state.” “What is at stake is the political tradition that has lent stability to the Federal Republic since 1945: a democratic conservatism that understands what must be preserved, but also how to embrace progress and openness to the world. If the Union continues along its current path, it risks becoming politically irrelevant after the 2029 federal election – and Germany could soon find itself with a government of the far right.” The Trumpification of Political Debate? It is often said in Germany that to understand the political and social trends that will soon be dominant in Europe, one need only look across the Atlantic to the United States. When it comes to political debate, that has certainly proven true. Donald Trump understood early on that triggering mouth-foaming outrage among Democrats is an ideal way to both generate headlines and to secure loyalty among supporters. And he realized that far more quickly than the left side of the political spectrum understood that simply ignoring the old man might be the best recipe. To be sure, there have been signs recently that the US president may be over-relying on the strategy. Earlier this week, in an apparent grandpa-discovers-AI moment, Trump sent out 60 posts in the space of 10 hours, many of them AI-assisted images portraying him as a hero – or showing Iceland as part of the US (outrageous!!!). It was also during that slew of schlock that he explicitly backed the AfD with an “MGGA” post. In Germany, though, the outrage cycle remains in full swing, with much of the focus on those who would dare to vote for the AfD. They are alternately portrayed as being dim-witted, ungrateful, backward, racist or all of the above. That, argues DER SPIEGEL columnist Sabine Rennefanz, is not particularly helpful. “Everywhere on election night, people spoke of a watershed moment, a rupture, a turning point. But what is that supposed to mean in concrete terms? A watershed would imply an interruption, a moment of pause – perhaps even a willingness to rethink and learn. At first, there was little sign of that in the main television panels. Instead, the familiar rituals that had already shaped the election campaign continued: outrage, lecturing and abuse.” “That’s just the tone, one might object. They’re only talk shows. Given that the party’s state branch has been classified by domestic intelligence officials as confirmed right-wing extremist, there are more important problems than hurt feelings on television. Yet although the condescending tone is not the cause of the AfD’s success, it is an expression of the broader mood within the so-called political center – a kind of institutional blindness that too often treats material concerns as a communications problem.” “People have a pretty good sense of whether you like them – whether you approach them with curiosity or merely study, lecture and manage them as a problem group. They notice whether you genuinely want to understand their fears and pain, or whether you are simply waiting for the chance to correct them. They can also tell whether someone still has the energy to change things, or whether they have barricaded themselves behind platitudes and empty phrases.” “Anyone who wants an egalitarian democratic society cannot promise equality only to those whose language, tastes and moral convictions they share. They must also acknowledge the wounds, resentments and fears of those whose political conclusions they consider wrong. Acknowledging them does not mean agreeing with them. But a democracy that communicates with almost half its citizens only through warnings and labels gives up on political debate before it has even begun. An atmosphere must be created in which people can express their opinions without fearing that they will be canceled. We are currently a long way from that.” East-West? One of the clear undercurrents in the election last Sunday was, of course, Germany’s ongoing east-west divide, particularly as it pertains to the success of the AfD. Historically, the party has been far stronger in the former East German states than in former West German states. The fact that this generalization no longer reliably holds is certainly one of the primary concerns that many have about the party’s growth. And yet, there is still a distinct flavor of “stupid easterners, they don’t understand democracy” to the coverage. In the weeks before the vote, there was even a rather interesting back-and-forth in Germany’s culture pages about how ungrateful eastern Germans allegedly are for being pulled out of their pre-reunification backwardness and into the light of the West. DER SPIEGEL’s Jochen-Martin Gutsch has had enough. “Ten years ago, in 2016, elections were also held in Saxony-Anhalt. The AfD won more than 20 percent, which at the time rightly provoked outrage and incomprehension in western Germany. Today, in 2026, the AfD is also polling at around 20 percent in western German states, but this no longer provokes outrage and incomprehension. Instead, it is now regarded as proof of democratic conviction and civilizational resistance. After all, in the east, it’s 40 percent!” “This allows people to continue feeling morally superior to the East, but the wiser course would be to admit: if something doesn’t happen soon, the West will turn AfD-blue too. Or bluish.” “But will anything happen? The truly depressing thing about election night was not so much the AfD leaders intoxicated by their own success. It was the representatives of the other parties, who once again said that they were utterly shocked, needed some time to digest the result and would, of course, not simply return to business as usual. The SPD, a former big-tent party, celebrated its ‘stable’ result of 9.3 percent. Congratulations!” “For 10 years, the AfD has gone from one electoral success to the next. And still, the established parties remain ‘shocked’ and scratch their heads in astonishment. How long can they keep being shocked? Friedrich Merz says he may need to communicate his reform ideas in a more ‘emotional’ way. So the CDU’s political professionals sit down together after the election, mull over a strategy, and in the end come up with this: Fritz, try to be a little more relaxed, charismatic and emotional – or something. Beyond that: no political plan, no defiance, no promise of a future. That is frightening.” What was good, what was bad for democracy? Good: Voter turnout in Saxony-Anhalt was 77.8 percent, the highest ever recorded in the state. Whatever one thinks of the result, that figure is encouraging. Democracy needs citizens to take an interest. Bad: Although a strong AfD result had been expected in Saxony-Anhalt, many politicians from the mainstream parties – including in Berlin – appeared confused, helpless and overwhelmed in their initial reactions. That is not how they will win back voters’ trust. Last Week’s Highlights: 🗳️ Meet the Germans Who Voted for the AfD: Why would voters in a country like Germany, with its Nazi past, vote for a right-wing party? It’s a question only an editor in Berlin could come up with. On the ground, the view is different. 🟦 How the AfD Wants to Expand Its Power Across Germany: The far-right AfD is planning to decimate public broadcasting in Saxony-Anhalt, revamp education and install extremists in positions of power. And it is eyeing victory on the national stage as well. 🕯️ The Continuing Reverberations of September 11: It was a generational shock, and the consequences can still be felt today - from massive surveillance and significant increases in presidential power to violent excesses at ICE. 🤝 “For Europe, Canada Is the Preferred Partner in Trans-Atlantic Relations”: In an interview with DER SPIEGEL, Canadian Finance Minister François-Philippe Champagne discusses his country’s failed trade deal with the US and why Canada is looking to Europe. 🏛️ The True Historical Roots of the AfD: During the Weimar Republic in the 1920s, there were numerous parties on the extreme right espousing “Germany first” nationalism. The Nazis may not be the best comparison for today’s AfD. 🌊 AfD in a Landslide: Merz Is the Wrong Leader for Germany: The right-wing Alternative for Germany won in a landslide in Saxony-Anhalt state elections on Sunday. What does that mean for the country at large? Thank you for your continued support and have a wonderful week! Subscribe Share Leave a comment Your SPIEGEL Substack Team Compiled and edited by Charles Hawley
Chelsea fans’ preferred lineup against Arsenal: The midfield question
Arsenal vs. Chelsea, Premier League: Preferred lineup
Foden red card in derby narrowly supported by panel
The Premier League's Key Match Incidents panel has supported Phil Foden's red card in the Manchester derby - but on a split 3:2 vote. The Manchester City midfielder was shown a red card by referee Michael Oliver in the 23rd minute for kicking out at Manchester United captain Bruno Fernandes. Two panellists "felt that the action lacked the force to reach the threshold for a red card, and would have preferred a yellow".
Mitsubishi Heavy Industries and Preferred Networks Form Capital and Business Alliance-- Accelerating joint development of cutting-edge AI technologies for the intelligence and autonomy of machinery and systems in mission-critical applications --
Mitsubishi Heavy Industries
NSF Seafood Engine in New England wins $15M U.S. National Science Foundation award to strengthen fisheries and aquaculture
KINGSTON, R.I.—July 14, 2026— The U.S. National Science Foundation announced a major new award to bolster the American seafood industry through the NSF Regional Innovation Engines (NSF Engines) program within the Directorate for Technology, Innovation, and Partnerships. The NSF Seafood Engine in New England, led by the Portsmouth-based non-profit NERACOOS, is a collaboration of seafood […]
Kustom Entertainment Amends Divestiture Terms With Cycurion Into Upgraded $6.1M Deal Featuring Immediate Cash Injection And 12% Yielding Preferred Equity
Cycurion Inc NASDAQ:CYCU:
Local legislators and town officials visit URI to learn about environmental and science research in action
KINGSTON, R.I. – Aug. 12, 2026 – The University’s land- and sea-focused work was showcased last month for local legislators and municipal leaders, letting them see and hear up close all the ways URI research can serve their constituents. Many had visited campus before—as speakers, parents or program attendees—but the morning forum in July let […]
Trump gets the complete domination he wanted in Louisiana
Rep. Julia Letlow, his preferred candidate, won the GOP runoff for his longtime rival Bill Cassidy’s Senate seat.
Bono Said Ed Sheeran Wanted to Avoid Politics While Working on U2 Collab
Bono avoided weighing in on the Ed Sheeran-Macklemore dust-up, noting Sheeran told U2 he preferred to avoid politics on their "Yours Eternally" collab.
Strategy buys preferred stock in past week instead of bitcoin, hit to business model signaled
Strategy (MSTR) was trading higher as the bitcoin treasury company announced a repurchase of its preferred stock instead of buying bitcoin in the past week.
Kustom Entertainment Amends Divestiture Terms with Cycurion into Upgraded $6.1M Deal Featuring Immediate Cash Injection and 12% Yielding Preferred Equity
Captures $250,000 in immediate non-refundable capital, eliminates warrants in favor of preferred equity, and sharpens execution on its $100B live entertainment and ticketing expansion. OVERLAND PARK, KS, July 27, 2026 (GLOBE NEWSWIRE) -- Kustom Entertainment, Inc. (Nasdaq: KUST) (“Kustom” or the “Company”), an emerging force in live music festival production and proprietary ticketing operations, today announced a major upgrade to its divestiture strategy. On July 23, 2026, the Company executed t
You Can 'Get Ready' for iPhone Duo Pre-Orders on October 12
People who plan to purchase an iPhone Duo can go through the "Get Ready" process starting on Monday, October 12. The new detail was added to the iPhone Duo product page yesterday, according to Reddit. Get Ready lets users select a preferred color and capacity, confirm their carrier status, choose accessories, choose an AppleCare+ plan, select a trade-in, add a payment method, and set a shipping and billing address.
Building the Capital Ecosystem Native Businesses Need
A Native-led CDFI is showing what happens when small-business lending receives relationship-based, culturally rooted support.
The midterm maps changed–so could Black political power
New congressional maps in nine states could reshape Black voters’ ability to elect preferred candidates, raising concerns about diluted political influence in s...
Poll: Trump Approval Falls to 33%, Lowest of His Presidency
About 38% of registered voters said Democrats would handle the economy better, compared with 35% who preferred Republicans.
Making Our Own Luck
We are cross-posting a piece that former NIH official Kris Willis wrote for Macroscience. Kris is now the President and Founder of the Woodley Park Institute, for which I’m a board member. Picking winners or hedging bets? Federal science agencies have long wrestled with the question of how to ensure their billions of dollars of grants and contracts result in maximum benefits for Americans. On the surface, it might seem that a goal-oriented, interventionist style of management would be the best policy: prioritize our most pressing problems and distribute funding accordingly.This top-down strategy creates a unique hazard, though: bad choices can send resources in the wrong direction, resulting in slow progress that impedes the delivery of tangible benefits to citizens. Moreover, if decision makers pursue an applied advance when the underlying scientific principles remain poorly understood, they risk costly failures and a loss of support for the research enterprise at large. Examples include Nixon’s 1971 War on Cancer, undertaken on the premise that a cure could be achieved in less than a decade, the drive to build an operational commercial fusion plant by the mid-1990s, and the National Plan to Address Alzheimer’s Disease, which failed to produce the effective treatments and prevention strategies promised by 2025. The contrasting laissez-faire approach is to hedge your bets. If the path to an advance is impossible to predict, then the wisest choice might be to distribute funding to as widely as possible. The main risk of this strategy is that spreading funding thinly may limit the resources available to the most promising research, resulting in the same negative outcomes as the interventionist approach: limited support for the most promising topics, slow progress, and delayed returns. In reality, at science agencies like the National Science Foundation and National Institutes of Health, program managers navigate between these two extremes, setting some funds aside to target high-priority areas and using the rest to cover the widest possible range of meritorious proposals. This middle path seems like the most rational way to proceed, but it still requires making choices. How much should be set aside for high priority topics? What should those topics be? How should we define merit? Expert opinion can provide a helpful guide, but leading experts can have remarkably different opinions about what matters and what should be prioritized. Moreover, experts and administrators alike can be risk averse, giving an edge to high-profile, well-established concepts. What’s really needed is a data-driven framework to help guide decision-making, one that doesn’t simply repackage prestige or incumbency. Recognizing breakthroughs years in advance Many breakthroughs fail to attract funding or recognition at the earliest stages of development. Katalin Karikó, for example, spent years struggling to win grants for work on mRNA that would eventually win her and Drew Weissman a Nobel Prize. Similar stories can be told about Jim Allison’s groundbreaking studies leading to the development of cancer immunotherapy, Stan Pruisner’s demonstration that prions can self-replicate without DNA, or Robin Warren and Barry Marshall’s proof that Helicobacter pylori, not stress, causes ulcers. Yet at some point, the scientific community recognizes and responds to transformative breakthroughs like these. How does that change happen? And what if science funders could identify the areas that are on the cusp of a breakthrough? Those questions led my collaborators and me to study how scientists responded to past breakthroughs. Based on patterns in that data, we developed a means of predicting future breakthroughs, using biomedicine as a proof of concept. It’s worth taking a moment to describe how our approach works. Briefly, our prediction process begins by grouping the 18 million or so peer-reviewed papers in PubMed, the authoritative database of biomedical research, into roughly 50,000 unique topics. A small subset of these topics are so widely acclaimed as breakthroughs that they have been recognized with a major prize like a Nobel or a Lasker Award. We theorized that studying the development of these outliers over time, especially before they gained acclaim, was the key to identifying future instances of them. After defining topics, we chose 21 representative breakthroughs and asked what they looked like before they won prestigious prizes. To answer that question, we re-ran our topic-mapping algorithm repeatedly, winding back the clock one year each time, stringing together the years to follow the progress of each field as it grew and advanced. We found that in each case, the years leading up to a discovery followed a pattern: a burst of papers on a new, rapidly evolving topic, many of which quickly became influential. These characteristics—the percent of papers that are new, the percentage of papers that are brought in from other topics, and the influence of each individual paper—can all be measured separately for any given topic. Together, they act as a predictive signal that is detectable an average of five years before a transformative discovery is made, and up to thirty years before the discovery receives a major prize. Scanning the current research landscape for topics that display this signal allows us to predict what work will likely produce a future breakthrough. Each year we analyzed includes four or five signals, a number that appears to have remained constant across a twenty year time frame. In their classic work on the sociology of science, Bruno Latour and Steve Woolgar established that the desire to participate in a major discovery is an important motivator for scientists as they consider whether they should take up (or abandon) a research problem. Although further work is needed, the simplest explanation for our results is that this behavior is widespread enough to detect at scale. A foundational advance, or something like it, draws the attention of scientists and causes them to change the direction of their research. They vote with their feet, staking their own reputation and careers by publishing on and citing the new idea. That upswell of interest is the foundation of our breakthrough signal. What kind of research does our model identify as a breakthrough? After building a model based on the patterns in our 21 preselected breakthroughs, we tested it by identifying all early signals of discovery from 1994 through 1997. Of the 18 signals we found in that time period, 17 can be traced forward in time to a breakthrough. Examples include super-resolution fluorescence microscopy (see the image above), the directed evolution of proteins and enzymes (Chemistry Nobel, 2018), and sequencing the human genome (National Medal of Science, 2008). The discovery of the role of leptin signaling in obesity is a particularly interesting case study. Around 1950, scientists noticed the existence of a type of lab mouse that suffered from a unique inherited form of obesity. When given the freedom to choose their own diet, these mice ate more than normal and preferred food that was high in fat. Researchers had few clues as to why the animals overate; early experiments pointed to the existence of a soluble ob factor found circulating in the bloodstream that regulated appetite, but its identity was unknown. In 1994, Jeffrey Friedman and colleagues identified and sequenced the ob gene, noting that the protein it encoded appeared to fit the profile of a circulating factor. A year later, a trio of high-profile publications demonstrated that ob was a hormone that regulated body weight and fat deposition by regulating appetite. One of these was co-authored by Friedman, who christened it leptin from the ancient Greek word for thin. Using our model, the data from 1996 make it clear this advance would become a breakthrough. Scientists had flocked to study the biology of the new hormone, generating the flurry of new papers and citations required to produce a signal. One of these demonstrated that serum leptin concentrations reflected the amount of adipose tissue in the human body, providing clinical validation of the earlier mouse studies. Before the identification of leptin, scientists were unable to point to a specific molecule that controlled appetite and adiposity, so that it was impossible to rule out non-physiological causes of obesity; its characterization fundamentally changed our concept of weight gain. In 2010, Friedman and fellow pioneer Douglas Coleman were awarded a Lasker for the discovery. Our work also identifies breakthroughs in clinical practice and behavioral and social sciences, even though these areas are less likely to draw the attention of major prize committees. One example that falls into this category is the introduction of endovascular aneurysm repair, a minimally invasive surgical procedure for the treatment of abdominal aortic aneurysm, a leading cause of death among Americans over the age of 65. Relative to the previous standard of care, it reduces in-hospital mortality by almost four-fold. In 2017, Timothy Chuter received the American College of Surgeons’ prestigious Jacobsen Innovation award for his multiple refinements to the technique. Another under-recognized breakthrough identified by our model is the development of standardized survey instruments to assess the quality of life for HIV+ patients. The antiretroviral cocktails introduced in the mid-1990s reduced AIDS mortality, but treatment came with serious side effects. The new evaluations showed that patients whose disease progressed had worse physical functioning than Americans with other chronic diseases, while those who were asymptomatic maintained a health-related quality of life on par with the overall US population. This evidence made it possible for patients and activists to argue that even in the absence of a total cure, and in spite of the side effects, alleviation of symptoms was a worthwhile priority for clinicians. My colleagues and I have failed to identify any significant recognition for the physicians and health policy experts who pioneered this advance, although in 2016, researchers called for the World Health Organization to set targets for good health-related quality of life as part of its framework to end the AIDS pandemic. From forecasting to funding How should science funders use our predictions? Any serious discussion of what we should do with this new capability needs to begin with an understanding of its limitations. We can’t (and shouldn’t) invest all of our resources in the small number of topics predicted to produce breakthroughs. Innovative new fields are born from existing ones; they rarely arise de novo. If funders don’t maintain a diverse portfolio, the breakthroughs of tomorrow will have no antecedents. Think of this as eating the seed corn, or killing the goose that lays the golden egg. There are also multiple goals of funding beyond basic scientific discovery, including translating discoveries into clinical practice, developing new technologies, supporting economic development, and training new scientists. The investments needed to accomplish these goals are likely different from those required to support emerging breakthroughs. Finally, we must be aware that we may not capture every instance of a breakthrough. The concept is fuzzy, and not every significant discovery is recognized with a major award. Further, breakthroughs are rare, meaning that our dataset is, by necessity, small. This makes formal estimates of accuracy challenging. Although our overall success rate appears to be high, any one signal may turn out to be a false positive. We found one apparent example: the development of the third generation COX-2 inhibitors, Vioxx and Celebrex, which were much celebrated in the early 2000s as effective but non-addictive pain relievers, meets all the algorithmic criteria of a breakthrough. Five years after it received FDA approval, researchers demonstrated that Vioxx was associated with serious cardiovascular complications, and the manufacturer voluntarily pulled the drug from the market. Celebrex remains available, although like other NSAIDs, it carries an FDA warning for increased cardiovascular risk. Decision makers who were overly focused on the breakthrough potential of this research might have wasted substantial resources nurturing an area that ultimately proved to be a failure—but so would those who relied on expert opinion at the time. That said, the potential benefits of funding the next mRNA vaccine or cancer immunotherapy years earlier than we might have are large. When we can’t assume the outcome of an action, it’s worth conducting an experiment. Can targeted support for areas that are poised to produce a breakthrough increase the return on scientific investment without cannibalizing future advances? With the necessary administrative infrastructure in place, conducting this experiment would be straightforward. First, identify all the breakthrough signals between 2018 and 2023, select half at random, and commit to a decade of investment. For biomedicine, a six year window should yield about 30 topics with the potential to produce a breakthrough. Providing strong support to half of these might be accomplished for $300 million a year. That’s roughly half of the recent annual budget of the NIH Common Fund or around 20% of the fiscal year 2025 budget for ARPA-H. After five years, then again at ten, compare to see which group — the one that was actively managed, or the control — produced more breakthroughs, and on what timescale. Although we used biomedicine as an example, the same experiment could just as well be run for physics, materials science, or any other discipline. Any attempt to undertake such an experiment should keep three points top of mind. First, we can predict the topic of future breakthroughs, but the people and vision for how to move the work forward are still important. In practice, this means success requires active program managers with the expertise to develop the science and the authority to do so, including by recruiting investigators. Second, we would be wise to learn from the failures of past attempts to fund transformative research. High among these are funding modestly repackaged work, confusing the genuinely novel with the merely unfamiliar, and relying too much on incumbent investigators. All of these risks can be mitigated by thoroughly and intelligently integrating high quality data into portfolio management. Finally, we need to have patience. Even with strong funding support, producing a breakthrough takes time. If supporting breakthroughs is the best way to nurture the birth of new fields, we also need to accurately describe and properly manage the other two stages, so that we invest wisely throughout the productive lifetime of ideas and divest once they reach the point of diminishing returns. We would benefit from more study of all of these phases, especially the transition from one to another. More research could answer questions like: When does a breakthrough become an established field? How do the availability of funding, the size and characteristics of the available workforce, and the accumulation of evidence that disagrees with prevailing models affect a field’s decline? Exactly how do old ideas give birth to new ones, and can we speed up the process? The more we understand about the dynamics of scientific progress, the better we can maximize the odds that our curiosity leads to results. I’d call that finding a way to make our own luck.
Shultz named CFO at Preferred Behavioral Health Group
Preferred Behavioral Health Group (PBHG) announced Sept. 14 the appointment of Stacey G. Shultz as chief financial officer.
PSG players slammed by French press after Monaco defeat
PSG got some horrible player ratings in the French press after another disappointing game from the Parisians in Ligue 1.If you enjoy PSG Talk coverage and want to see more of it, add us as a preferred...
Trump tells donors, ‘We need to elect JD,’ as vice president weighs his future
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Are Bank Lobbies Still Relevant?
Local banking leaders say technology is changing the way customers use their banks — and their lobbies By Deborah Jeanne Post [caption id=attachment_11109 align=alignright width=300] Steve Gorczynski is M&T Bank Central New York regional president.[/caption] When was the last time you entered the lobby of your bank? If it’s been a while, you’re part of a trend of eschewing the lobby in favor of ATMs, drive-thrus, online banking and remote deposit. A 2025 study performed by the American Bankers Association revealed that only 9% of consumers use bank branches as their preferred way to do banking and 76% prefer mobile banking. The trend away from the lobby reflects consumer behavior in other areas of doing business, including online shopping instead of perusing the mall, ordering fast food at a kiosk, not at the counter and selecting curbside pick-up rather than walking into the restaurant. Consumers want convenience and going in the lobby adds another layer to the task. It also places consumers face to face with one or more representatives of the business, something less favorable to people feeling burned out from interpersonal interactions. Nixing or at least minimizing the size of the lobby isn’t necessarily negative for banks. Fewer people passing through their doors reduces overhead for building maintenance, staffing and furnishing. Greater reliance on virtual banking can mean closing brick and mortar locations and hiring fewer staffers to cover roles like teller and lending officer. “Our focus is on meeting customers where they are and giving them flexibility in how they bank,” said Steve Gorczynski, M&T Bank Central New York regional president. “While many everyday transactions can be supported digitally and through ATMs, branches remain important for more complex financial needs, offering face-to-face guidance and a more personal banking experience.” Talking with a commercial lender or working on a home mortgage are two examples where meeting face-to-face is more desirable for many people. They can receive immediate feedback to questions and can possibly reach their goals more quickly. But there’s little need to have a large seating area, long counters and numerous tellers for routine banking that’s quicker to handle virtually. Online banking can also help people on the go more readily complete banking tasks such as depositing checks, transferring funds among accounts and checking balances. [caption id=attachment_11135 align=alignright width=300] Tina M. Stephens is the vice president branch administration for Fulton Savings Bank.[/caption] “The traditional bank lobby is certainly being evaluated by most institutions today, as the typical large, open and cavernous spaces do not necessarily meet the needs of today’s customers,” said Tina M. Stephens, vice president branch administration for Fulton Savings Bank. “Traditional lobbies often bisect traditional teller stations and customer service areas, which adds confusion, especially for the demographic who routinely use online banking and only access the lobby for customer service needs.” Despite the rollback in physical locations across the industry, Fulton Savings Bank began modernizing its six branch offices in Oswego and Onondaga counties about three years ago and have finished four offices so far in Baldwinsville, Fulton, Constantia, and Phoenix. “We made the decision to build a new branch across the street from our current office in Brewerton which will be completed by the end of 2026, and we will begin the retrofit of our Central Square office in early 2027,” Stephens said. “Our efforts specifically address where we think customers will be in the next three to five years and have greater flexibility to make changes out into the future.” The bank may be onto something, as numerous reports state that screen-weary Gen Z young adults crave more in-person interactions than virtual ones. If the pendulum continues to swing in that direction, it’s hard to see all physical bank areas disappear, even if they change somewhat. Fulton Savings Bank has also consolidated its teller and customer service representative areas to larger “universal banker” areas, where the bank representative can address all customer retail needs. A one-stop-shop experience appeals to busy banking customers who want to perform a few different banking tasks in one visit. Stephens also said that Fulton Savings Bank made additional technology and security enhancements and created flex spaces to accommodate bank meetings throughout the two-county branch footprint. At Solvay Bank, Elizabeth Lavier, vice president marketing and communications manager, lauded digital and online services as convenient and flexible for managing finances; however, “technology is not meant to replace what matters most: the relationships behind every account that have always been at the heart of community banking,” she said. “Even in today’s digital-first world, people of all ages still value the opportunity to sit down with a trusted banker for personalized guidance. We understand that some of life’s biggest moments call for more than a screen.” Lavier views digital banking as another way for the organization to serve customers rather than a replacement for branches, tellers and lenders, which tend to serve customers better for transactions like buying a first car, purchasing a home, saving for a child’s education, or planning for retirement. “Those conversations, built on understanding, experience and personal guidance, are what community banking is all about,” Lavier said. “At the end of the day, banking is about more than transactions. It’s about helping our customers achieve their goals and being there for them every step of the way. By combining the convenience of digital banking with the care, commitment, and personal service of a local community bank, Solvay Bank offers customers the best of both worlds.” Are Paper Checks Destined to Disappear? With the ubiquity of debit cards, online payments, virtual checks and peer-to-peer payment platforms like Venmo, Zelle and PayPal, will paper checks become passe? “In my view, paper checks are unlikely to disappear in the near future,” said Tina M. Stephens, vice president branch administration for Fulton Savings Bank. “They continue to serve a practical purpose by providing a clear paper trail and tangible proof of payment.” According to the American Banker, a leading trade publication that covers the banking and financial industry, in 2024, checks accounted for 65% of all payment fraud losses. Paper checks should be phased out, according to the publication. “The phrase, ‘The check’s in the mail’ probably sounds strange to younger people because the era of paper checks is rapidly drawing to a close. Put bluntly, checks are an expensive, insecure legacy that is a drag on the U.S. economy. Rather than wait for them to vanish slowly, the pragmatic choice is to strategically accelerate the transition to paperless payments.”
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Concern after Europeans endorse US science agenda
Germany’s biggest research funder has said it is “concerned” after Berlin, plus several other European countries, endorsed a controversial US-led science policy statement. On October 4, the White House announced that 16 countries, including Germany, the UK, Italy, Greece, Bulgaria, Cyprus, Poland, Japan and South Korea had backed the Kyoto Vision for a Golden Age of Science.The document, agreed on the margins of the annual Science and Technology in Society forum in Kyoto, which gathers science ministers from across the world, appears uncontroversial at first sight. It’s a one-page statement, without any concrete measures, that touches on reducing administrative burden on scientists, experimenting with new funding models and the use of “super intelligence” in science, the Trump administration’s preferred term for artificial intelligence. However, what’s controversial is that much of the language in the Kyoto Vision reflects Science: A New Golden Age, a major policy document released by the White House in July.That document attracted criticism for deriding universities as “legacy institutions” and suggesting money be diverted to new research labs. In a speech in Kyoto on October 4, Michael Kratsios, director of the White House Office for Science and Technology Policy and the report’s author, said that the US was seeking to “diversify the ways that we support research to meet our best scientists where and when they do their best work.” The worry is that the Trump administration may be using genuine dysfunctions in academia as a pretext to defund and disempower universities, which US vice president JD Vance has labelled “the enemy.” Many in Europe also want more experimentation and reform of how science is organised and funded, and agree with criticisms of academia made by Science: A New Golden Age. But some also fear that if the US pushes for reform partially in bad faith, it could politicise and undermine the whole agenda. Washington is currently trying to change federal funding rules so that political appointees can block and cancel scientific grants. It has cut grants mid-project on topics related to diversity and other politically forbidden areas. And last year, it threatened to cut Harvard University’s federal funding unless it admitted a “critical mass” of new faculty and students to create campus “viewpoint diversity.” “Particularly concerned”Because of this wider US political context, the Kyoto Vision’s otherwise innocuous sounding statement that “we encourage experimentation with new institutional models for science that provide varying levels of autonomy, resources and direction” has caused consternation in Europe, particularly from some of Germany’s biggest science organisations. A spokesperson for the German Research Foundation (DFG), the country’s biggest funder, said that it would “closely monitor whether the current US administration uses the Kyoto Vision to restructure research funding to the detriment of research institutions such as universities and their autonomy.” The DFG was “particularly concerned” with the statement’s references to Science: A New Golden Age, they continued. A spokesperson for the German Rectors’ Conference, which represents the country’s universities, said that the reference to “new institutional models” raises “questions on the underlying understanding of academic freedom and autonomy.” Research funding must “guided first and foremost by scientific not political principles,” they went on. Dampen criticismEuropean endorsement of the Kyoto Vision might dampen domestic criticism of the Trump administration’s science policy, some in the US fear, by suggesting international support. “What we saw from Germany, Japan, the UK and other countries, is an impulse that the administration has exploited with our own science reform movement, a belief they can use dialogue to make things better,” said Cole Donovan, director of science policy at the campaigning group Stand Up for Science. “In practice, the administration has done the opposite.” Not a binding statementThere’s been so much concern in Germany that the country’s federal Ministry of Research, Technology and Space put out a statement defending its endorsement of the Kyoto Vision, which it has posted on its website. Related articlesIs metascience being co-opted?European researchers sound the alarm that Trump rule changes will hit cooperationThe US ‘golden age’ science strategy: what Europeans need to know The ministry said that it “should be regarded as a basis for discussion and does not constitute a binding statement.” Backing the statement gives Germany the chance to raise “issues and concerns” with the US during upcoming talks on science and technology scheduled for November. “Although these intentions appear, in principle, to be worthy of support, they will be scrutinised and examined more closely as the process continues,” the statement continues. Super intelligence?A ministry spokesperson confirmed to Science|Business that Germany had broadly endorsed the Kyoto Vision.However, they said Berlin had not agreed to final changes in the statement to refer to AI as super intelligence. In September, facing protests against data centres and polling that suggests US citizens are far more concerned than excited by the technology, Trump issued an executive order that attempts to rebrand AI as super intelligence, following polling on social media.The name change is to “reflect the transformative capabilities of these technologies and the limitless opportunities they create for the American people,” the order says. EU askedThe UK and Italian science ministries did not respond to a request for comment on their endorsement of the Kyoto Vision. Although most EU countries did not endorse the statement, it’s not clear which states the US asked. The White House Office for Science and Technology Policy did not return a request for comment. A European Commission official, speaking under condition of anonymity, said that the US had approached the EU, but too late for the EU to quiz all its member states on whether Brussels should endorse the statement.
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Is SMIC N+3’s Metal Pitch Smaller than Intel 18A’s?
Almost four years ago, we published that SMIC had started shipping 7 nm (N+1) chips. Now, SMIC is shipping its third-generation 7 nm (N+3) process in Huawei’s Kirin 9030, with a minimum metal pitch of 32.5 nm, about 10% tighter than the 36 nm minimum metal pitch shipping in Intel’s latest Panther Lake CPUs on 18A. The headline is true, but incomplete cherry picked metric. N+3 reaches the density of TSMC N6 through aggressive DUV multi-patterning and design-technology co-optimization (DTCO), but it pays for that in complexity, efficiency and process control. We found this and more in our reverse engineering and teardown where we cover SMIC’s N3 process technology, Huawei’s packaging, memory, architecture, and more. SemiAnalysis has been building a state-of-the-art teardown lab in Oregon capable of analyzing the world’s most advanced and important chips over the last year and half. We have already generated revenue on advanced datacenter chip teardowns including our recent reverse engineering of a major TSMC customer’s COUPE CPO optical engine + EIC 3D stack. This is the first public report from the SemiAnalysis Teardown Engineering & Evaluation Lab, or STEEL for short. The lab is aggressively scaling up and out and we’re excited to announce it publicly. This is a bit of inconvenient timing for TechInsights as they are private equity owned and currently being sold while having enjoyed virtually no credible competition for decades. This has led to TechInsights underinvesting in CAPEX. SemiAnalysis exceeds TechInsights in revenue despite no venture or private equity ownership and being founded only 6 years ago. Because we have no external investors and are founder led, we move faster, build faster, and we can release client chip teardowns for free regularly, while focusing on datacenter for our major clients. Here’s the first public image from our lab, the HiSilicon Kirin 9030 Pro SoC: This report will detail our teardown of the Kirin 9030 and our findings on SMIC’s N+3 process, the most advanced in China. For comparison, we’ll show our teardown of the MediaTek Helio G99, made on TSMC N6. Through this comparison, we can look at the effect of export controls – SMIC N+3 and TSMC N6 are comparable nodes, but one is heavily export-controlled, the other free to use the West’s most advanced equipment. Here we see both China’s progress and constraints. SMIC N+3 reaches TSMC N6-class logic density, but it requires far more aggressive DUV multi-patterning, so it does not match N6 on process maturity or cost. The Kirin 9030 Pro performs similarly to three-year-old Android flagships, and trails far behind the current flagship SoCs from Apple, Qualcomm, MediaTek, and Samsung. The efficiency gap is even wider. Export controls have not stopped Huawei and SMIC from shipping advanced silicon, but they have forced a different path. Without EUV, SMIC is leaning harder on DUV multi-patterning, DTCO, and increasingly complex integration. The roadmap continues forward through tighter design rules and backside power, but each step adds cost and process risk. Huawei’s τ scaling and LogicFolding show another path: stacking active logic and recovering density through advanced packaging and system-technology co-optimization (STCO). To understand the Kirin 9030, we must first understand Huawei’s SoC history. HiSilicon is Huawei’s chip design arm, responsible for the Kirin smartphone SoCs, Kunpeng server CPUs, Ascend AI accelerators, and switch/router networking silicon. Before export controls, Huawei was TSMC’s largest customer – the only customer on TSMC’s first EUV node, N7+, and among the first on N5, alongside Apple. That ended in late 2020. Huawei switched to Qualcomm SoCs in its flagship smartphones, though export controls limited them to 4G-only variants. In late 2023, Huawei returned to in-house silicon with the Kirin 9000s, a successor to the Kirin 9000, fabricated on SMIC N+2 instead of TSMC N5. In the following years, they released the Kirin 9010 and 9020 on the same N+2 process. These chips used Huawei’s in-house TaiShan CPU cores and Maleoon GPU. We have not torn down a Kirin 9020 ourselves, so the predecessor die shot is from Kurnal. The die shots show how Huawei spent its silicon budget: which functional blocks are where, and how their areas compare to the predecessor. First, a quick guide to the major blocks on the die. The total die area is nearly identical, but the 9030 uses that area more aggressively. A denser process lets Huawei fit an extra middle CPU core, more GPU and NPU cores, and larger caches into the same footprint. In contrast, the Helio G99 is a much smaller, low-cost SoC, built for budget smartphones rather than a flagship device. While the Kirin 9030 is ~140 mm², the G99 is only ~29 mm², roughly one-fifth the area. The underlying TSMC process technology, however, is directly comparable as a baseline for analyzing SMIC’s. The Kirin 9030 is an evolutionary refresh, not a clean-sheet design. Its CPU, GPU and NPU cores carry over the 9020’s families, and the gains come from three levers: the SMIC N+2-to-N+3 process step, DTCO and floorplan work, and incremental microarchitecture. Area is where the first two show up, and the 9030 scales well here. Performance and efficiency are the harder test. Huawei’s design holds up better than its node would suggest, but the chip still trails, both because N+3 sits behind the leading-edge nodes and because its cores, while competent, remain a few generations behind the newest designs. The new prime core is an incremental update. The main changes are a 10% frequency increase from 2.5 GHz to 2.75 GHz and a doubling in the L2 cache from 1 MiB to 2 MiB. Despite the increased cache, the core size decreased by 7.6%. Excluding the private L2 cache, the core size decreased by 21%. This is a large reduction for an incremental node. Compared with the TaiShan New V120 core in the Kirin 9020, the Kirin 9030’s middle core is almost unchanged architecturally, yet each core shrinks by ~22%. Most of that comes from the move from N+2 to N+3, with layout likely accounting for the rest. Visually, the most noticeable change is the increase from 3 middle cores to 4. There is also a 20% increase in the shared L3 cache of the big cluster. This helps to improve multi-core performance without sacrificing much in terms of area. Even with each core shrinking, the big CPU cluster’s total area is essentially unchanged. The per-core savings went back into an additional middle core and larger caches. The tiny cores shrank less than the prime core (excluding its L2 cache) and less than the middle cores. This is likely because fixed overhead is a larger share on a small core. We cannot resolve any architectural changes from the die shot alone, but the per-clock and efficiency gains shown below point to more than pure process and layout scaling. The area reduction was offset by a doubling of the shared L2 cache from 2 MiB to 4 MiB, leaving the total tiny CPU cluster area slightly larger. Area is the easiest improvement to see from a die shot, but it is only one part of PPA (power, performance, area). For modern logic, power and performance matter just as much, and often more. Since Dennard scaling broke down in the mid-2000s, voltage and frequency have not scaled in step with transistor dimensions, so each node has had to fight harder for gains in performance and efficiency. The starkest comparison is not Kirin 9020 versus Kirin 9030 Pro. Apple’s efficiency cores run circles around Huawei’s prime core. Apple’s low-power core delivers 20% higher integer performance while drawing only 1 W, compared with 4.5 W for Huawei’s prime core. N+3 matches TSMC N6, but N6 is several generations old. Apple and Qualcomm build on N4 and N3P, which are denser and sit on a better voltage-frequency curve, giving them a larger transistor budget and more performance per watt. The 9030’s own cores did improve. The middle and tiny cores gained 17% and 14% in per-clock integer performance over the 9020, with floating-point flat on the middle core and up 11% on the tiny. The tiny core improves cleanly, with performance rising while power falls and efficiency increases by 45% in integer and 24% in floating point. The middle core is mixed: integer performance rises but power rises faster, cutting integer efficiency by 7%, while lower power lifts floating-point efficiency 16%. Per-clock gains at the same or lower frequency are microarchitectural, so the cores are tuned, not just shrunk. Both also failed to hold their rated maximum frequencies, pointing to thermal, power, or stability limits. Per clock, the middle core sits around Arm Cortex-A720 and the tiny core near the Cortex-A520; absolute performance trails because Huawei clocks them much lower. The prime core is roughly Cortex-X2 class per clock, a 2021 design. Apple’s 2020 M1 Firestorm core is still 35% higher per clock and 57% faster in absolute integer performance at a similar 4.5 W. The current leading edge is further ahead again: the Apple M5 P-core is 60% higher per clock and 2.7× faster, the Arm C1 Ultra 45% higher and 2× faster. Matching older high-end cores per clock is a genuine design achievement. What Huawei cannot match is the voltage-frequency curve and transistor budget of leading-edge nodes, which let Apple, Qualcomm and others spend more transistors in the same area on wider cores, larger caches and deeper buffers while running at lower voltage. Huawei’s LogicFolding roadmap is one answer, stacking active logic to recover density and shorten signal paths. We return to it later. The GPU compute units (CUs) changed more visibly than the CPU cores, moving to a more rectangular layout for both the arithmetic logic unit (ALU) clusters and the CU overall. Even with ray-tracing support added, a CU shrank ~28%. However, that shrink is offset by the increase from 4 to 6 CUs and the area outside the CUs grew 33%. Overall, the GPU cluster is larger by ~10%. The GPU is where Huawei makes its biggest gains. The Maleoon 935 is not competitive with current flagships, but it is a large step up from the 920 and reaches older-flagship territory. In 3DMark it is 70% faster in Wild Life Extreme (WLE) and 79% faster in Steel Nomad Light (SNL) than the 920; with 11% higher clocks and 50% more CUs, the ~67% theoretical uplift roughly matches WLE and is beaten by SNL. It edges ahead of the Snapdragon 8+ Gen 1 in WLE and SNL, and the Dimensity 9200 and Apple A16 in WLE, but stays far behind newer parts: the Snapdragon 8 Elite Gen 5 and Dimensity 9500 are ~2.4–2.6× faster in WLE and ~3.2× faster in SNL. The Maleoon 935 is Huawei’s first GPU with hardware-accelerated ray tracing; there it lands slightly ahead of the Exynos 2200, and on par with the Apple A16, with current flagships up to 3.7× faster. The Neural Processing Unit (NPU) saw the largest structural changes of any block, moving from a Lite and a Tiny core in the Kirin 9020 to a Lite and two Tiny cores in the Kirin 9030. Both core types also show significant layout changes. This is a reversal in Huawei’s NPU design. The Kirin 9000 5G, its last flagship chip on TSMC N5, used two Lite and one Tiny core. The series of SoCs on SMIC N+2 moved to one Lite and one Tiny core, likely for area savings. With the Kirin 9030, Huawei has shifted back toward a larger multi-core NPU cluster, but with the additional area going to a Tiny core rather than a Lite core. We’re diving deep into the most advanced datacenter and AI hardware hitting the market. To learn more about what’s in the pipeline or to commission a custom teardown, contact sales@semianalysis.com. Interested in joining us on this ride and think you can be a difference maker? Check out our Careers page. Before diving into the process stack, the package and memory are worth separating from the SoC itself. The Pro variant of the Kirin 9030 carries 12 GB of Samsung DRAM, with two stacks of four dies each. The dies were identified as the K4L2E165YD, a 12 Gb LPDDR5X-9600 device fabricated on Samsung’s 1a node, the fourth generation of its 10 nm-class DRAM after 1x, 1y and 1z. 1a has shipped in volume since 2022, so this is current memory rather than older-node inventory. The 16 GB Pro Max variants we obtained were found with both CXMT and Samsung packages. The CXMT package is marked CXDD7JEDM, with two stacks of four dies, packaged in week 45 of 2025. The inferred die dimensions from X-ray computed tomography (CT) are consistent with a known density of ~0.3 Gib/mm² for the CXMT G4 process, roughly equivalent to other manufacturers’ 1z processes. The Kirin 9030 uses a typical integrated package-on-package (iPoP) stack: multiple DRAM dies in a memory package sit above an organic redistribution layer (RDL) interposer, which sits above the SoC and package substrate. The full package is then mounted to the printed circuit board (PCB) through ball-grid array (BGA) solder bumps. The memory package substrate is a thin bismaleimide-triazine (BT) laminate carrying the LPDDR5X stack. The organic RDL interposer over the SoC routes the PoP signals around the die and carries possible dummy thermal copper pillars. The package substrate, a thicker Ajinomoto Build-up Film (ABF) build-up over a BT core, fans the flip-chip bumps out to BGA pitch and embeds the power planes. The whole stack is organic. The only silicon is the SoC and the LPDDR5X dies; there is no silicon interposer. Keeping it all-organic brings the package’s coefficient of thermal expansion (CTE) close to the PCB’s, reducing board-level warpage, and avoids the cost of a silicon interposer the SoC’s bandwidth does not need. In an iPoP stack, the memory package connects to the organic RDL interposer through an array of solder bumps. Underfill fills the gap around those bumps, adding stiffness and protecting the joints from mechanical stress. The Pro and Pro Max variants differ here, which we cover behind the paywall. The die shot and architecture tell us how Huawei allocated its silicon budget. The process tells us what SMIC can manufacture. We use the Helio G99 as the process reference for TSMC N6. Both SMIC N+3 and TSMC N6 are evolutions of previous 7 nm-class nodes. We used targeted TEM cross-sections through logic and memory regions, imaged in both fin-cut and gate-cut directions. Each cross-section caption gives its horizontal field width (HFW), the real width of the imaged area. We start at the transistor fins, then move up through standard cells, local interconnect, and SRAM. SMIC has not overtaken Intel or TSMC. It uses aggressive DUV scaling and DTCO to reach N6-class density, but that density doesn’t translate into comparable performance and efficiency, for two reasons: the node gap to leading-edge nodes, and Huawei’s core designs. Fin Profile One of the most important knobs in a FinFET process is the fin profile: the shape of an individual fin and the channel where current passes from source to drain. The ideal fin is tall, narrow, and nearly vertical. A taller fin increases effective channel width, while a narrower fin improves electrostatic control by thinning the body the gate must control. Push either too far, and the process pays for it: weaker drive current, fragile fins, taper, footing and line-edge variation that hit yield and device variability. The Intel 22 nm, 14 nm, and 10 nm fin cross-sections show how FinFET nodes have improved over time. 22 nm fins were a first-generation structure, relatively short, wide and strongly tapered. The shape limits current density and reduces gate control uniformity across the height of the fin. At 14 nm and 10 nm, Intel pushed the fins taller and narrower while also making the sidewalls more vertical. Rather than shrinking the device, these changes increase the effective channel width per fin and improve electrostatic control. The trade-off is that taller fins at tighter pitches are much more difficult to manufacture. Now, let’s compare the Helio G99 on TSMC N6 with the Kirin 9030 on SMIC N+3. Both processes are in the same class, with fin pitch of 30-32 nm on N+3 and 34 nm in our N6 cross-section. The pitch for N6 is especially interesting as N7’s HD library is generally listed with a 33 nm fin pitch, and N6 did not shrink pitches directly. Its density gains came from DTCO instead of tighter pitches. The 34 nm pitch was stable across our sampled region and serves more as a comparison against the SMIC N+3 we have not investigated further. Pinning down N+3’s fin patterning scheme takes more than one core unit. The CPU cores show a dense ~32 nm pitch, with the pitch between N-P fin pairs alternating between 78 and 88 nm. Logic alone may be consistent with dual-pitch mandrels of 120 and 110 nm, but this is a complex and unusual approach. Combining the pitch from the the 8T SRAM, which has more complex repeat unit, with the CPU core sequence allows us to reverse engineer the patterning steps with more confidence. As both the logic and SRAM should share the same base grid, a single CD mandrel lithography pattern with 128 nm pitch undergoing SAQP produces a die-wide ~32 nm grid (128 nm/4), which supports the pitch sequencing seen in both logic and SRAM cells. In the sampled cross-sections, N+3 shows a taller, narrower, higher-aspect-ratio fin than N6. The measured fin aspect ratio is ~9.5:1 on N+3 versus 7.8:1 on N6. N+3 also shows less top rounding, with an estimated radius of ~2 nm, compared with 2.8 nm on N6. Even though the fin widths differ, the ratio of top rounding to fin width tells the same story, with N+3 at 0.37 and N6 at 0.44. In a geometric sense, lower is better; a perfectly rectangular fin would have no top-rounding penalty. These are single-digit-nanometer features measured from a handful of cuts, so treat the absolute numbers as approximate. The important result is the relative gap: N+3’s fins are consistently taller, narrower and less rounded than N6’s. We’re diving deep into the most advanced datacenter and AI hardware hitting the market. To learn more about what’s in the pipeline or to commission a custom teardown, contact sales@semianalysis.com. Interested in joining us on this ride and think you can be a difference maker? Check out our Careers page. Standard Cell A standard cell is the basic building block of chip layout: a fixed-height row pairing one NMOS and one PMOS transistor that share a gate, tiled in a grid to build logic blocks. The key dimensions are contacted gate pitch (CGP), cell height (CH), fin count, and the lower-metal routing grid. To measure density, we use the Bohr metric: a weighted average of NAND2 gate area (60%) and scan flip-flop area (40%). This represents a realistic mix of combinational and sequential logic. This metric has its limitations, especially for complex cell layouts like TSMC’s FinFLEX, which alternates cells with different fin counts. Even so, it is the best metric for a pure process-level comparison. Another important measurement is the fin pitch; it refers to the distance between two fins of the same transistor. In a FinFET process, multiple fins are used in each transistor to increase the drive current and thus performance. TSMC N6 ships both a high-density (HD) library with 2 PMOS and 2 NMOS fins per cell, and a high-performance (HP) library with 3 of each. More fins under the shared gate mean more effective channel width. HP cells switch harder at the cost of area. Designers mix the two on a die, primarily spending HP cells on timing-critical paths, and matching their PPA targets. In the Cortex-A55 core of the Helio G99, we found a cell height of 240 nm for the HD cell. MediaTek has used HD cells in the G99 to minimize die size and thus cost. As an SoC for budget smartphones at ~$100, this is essential. By contrast, we found only one library in the Kirin 9030, with 2 NMOS and 2 PMOS fins. This suggests a narrower library strategy than TSMC N6, where both HD and HP libraries are widely used. This likely reflects the smaller customer base and the more constrained domestic design and electronic design automation (EDA) ecosystem. In all three CPU cores of the Kirin 9030, we found cell heights of 228 nm, 5% smaller than on N6. This is also a reduction of 9.5% over SMIC N+2’s cell height of 252 nm. SMIC N+3 and TSMC N6’s HD library both feature a CGP of 57 nm. For SMIC, this is a 9.5% shrink over N+2. In the past, CGP and cell height alone may have been enough to compare transistor density. Now, however, we must consider scaling boosters and DTCO as well. SMIC’s density gain does not come from EUV. It comes from using every available DTCO booster aggressively. First is fin depopulation: reducing the number of NMOS and PMOS fins in each cell. The first FinFET nodes started with 3 or 4 fins for each transistor. SMIC N+3 and TSMC N6 HD both use only 2 fins per transistor, trading drive strength for density. Next is contact over active gate (COAG). By landing the gate contact directly over the active gate, instead of out over the isolation region, the cell height drops. N+3 integrates COAG while N6 does not. Our N+3 gate-cut cross-sections indicate COAG, with the gate contact sitting over the active region, while N6 shows an off-gate contact. Last is single diffusion break (SDB). Diffusion breaks are inserted between cells in the same row to provide electrical isolation, but they also introduce local layout effects (LLE), layout-dependent shifts in electrical characteristics. In the past, a double diffusion break was used, consuming the space of two CGPs. SMIC N+3 and TSMC N6 instead use SDB, saving area but increasing LLE sensitivity. This must be controlled at the process level and accurately modeled in the process design kit (PDK) so that EDA tools can account for it. Overall, SMIC N+3 has a transistor density of 113.4 MTr/mm², slightly above TSMC N6 at 107.7 MTr/mm². Even without EUV, SMIC has achieved density beyond TSMC’s mature N6 node which utilizes EUV. Metal Stack The smallest critical dimension in the teardown is M0; SMIC N+3 uses a 32.5 nm local metal pitch. That is smaller than the 36 nm M0 pitch on Intel 18A in Panther Lake. However, this does not mean that SMIC has a better process than Intel 18A or TSMC N3P. M0 is a local intra-cell routing layer. Its usefulness depends on the full interconnect stack: M1 and M2 pitch, track count, via and line resistance, design rules, mask count, overlay control, and routing flexibility. The 32.5 nm M0 is consistent with self-aligned quadruple patterning (SAQP), whose four-population line-width loading we read coarsely as alternating widths of 21.5 to 24 nm; M1 and M2, at 38 and 40 nm, are consistent with self-aligned double patterning (SADP), a single A/B split. On TSMC N6, M0, M2, and M3 sit at a relaxed ~40 nm and are consistent with SADP-class double patterning, with no need for quadruple patterning. That said, we measure M2 for example at ~43 nm, likely inflated by sparse routing. We do not assign any specific layer to EUV from our cross-sections; the distinction we can draw is double versus quadruple patterning, not lithography wavelength. Transistor-level density in the front-end-of-line (FEOL) sets an upper bound, but the design is ultimately limited by what the interconnect stack can route. The lowest metals are the most important for standard-cell density, but the semi-global and global layers determine how usable that density is at the block and chip level. Two axes are commonly used for chip cross-sections: the fin-cut and the gate-cut. The micrograph above is a fin-cut and shows metals 0 through 3. This axis lets us see the even-numbered metals, with M0 right above the fins. There are two kinds of M0 lines. The first are the power rails; these are wide wires for the VDD and VSS running horizontally at the top and bottom edges of each standard cell. The wide wires measure 55 nm across, more than double the other M0 lines. Their width minimizes resistance and reduces IR drop. The second kind are intra-cell wires, short segments within the cell that connect terminals to M1. These have alternating widths between 21.5 and 24 nm. The M0 pitch is 32.5 nm, a 19% reduction versus N+2 and N6. At this pitch, DUV patterning requires more aggressive multi-patterning, increasing mask count, overlay sensitivity, process complexity and cost. M0 is below what a single DUV-defined spacer (SADP) can resolve, so SMIC cascades a second spacer step (SAQP). The cross-section reflects the cost: the M0 trenches are visibly more re-entrant (narrower at the bottom than the top) than M1 or M2 on the same chip and carry a bright barrier-rich foot where the trench meets the etch-stop layer. That shape is partly the intended damascene profile, as a slightly narrow bottom helps void-free copper fill, but its magnitude at M0 is driven by the tight pitch and the higher trench aspect ratio. Intel 18A supports an M0 pitch of 32 nm, although Panther Lake has only shipped with a looser 36 nm pitch. This is due to Intel’s heavy usage of HP libraries. Among leading-edge nodes, 18A has the loosest M0 pitches due to PowerVia. With power routing moving to the backside, congestion is reduced, and the entire front-side metal stack can be used for signal routing. M2 is the first true inter-cell routing layer. It runs horizontally like M0 but spans across multiple cells to carry block-level signals. The M2 pitch sets the cell’s track height – the number of M2 tracks that fit between the VDD and VSS rails, defining what the library calls a 6-track or 7.5-track cell. This layer is the most important, limiting the routing of entire blocks. SMIC N+3 features a 5.7-track cell. The M2 pitch is 40 nm, a 5% decrease over N+2 and the same as N6. This shrink keeps the pitch at the edge of what is possible with double patterning. Future nodes will need to increase the number of masks for M2 as reducing the number of tracks is much harder due to the limitations in routing. The micrograph above is in the perpendicular direction, the gate-cut, and shows metals 0 through 4. This allows us to see and measure the odd-numbered vertical metal layers. The M1 pitch is 38 nm, 9.5% less than N+2 and 33% less than N6. The M1-to-gate ratio matters because it sets local routing flexibility. N+2 and N+3 use a 3:2 ratio, while N6 uses a 1:1 ratio, explaining the huge differences in M1 pitch. The more M1 lines there are compared with the gates, the more flexibility there is for power and signal crossing within the cell. Routing flexibility enables more complex and better cells. Clean fractional ratios are also preferred as a grid is periodic and improves layouts. The 3:2 ratio gives SMIC more local routing flexibility than a strict 1:1 grid, but it also complicates layout and patterning. This is a DTCO choice, with SMIC increasing process complexity to recover density and routability without EUV. This 3:2 ratio is not very popular in the leading-edge nodes. TSMC has only used it on N7+, the N5 family, and the short-lived N3(B). They have switched back to a 1:1 ratio for N3E. Intel has only used it on the 10 nm/Intel 7 family, with Intel 4, 3 and 18A all using a 1:1 ratio. Samsung is the only one still using a 3:2 ratio at the leading edge, using it in the SF4 and SF3 families. It remains to be seen if SMIC will remain at a 3:2 ratio or move to a 1:1 ratio with its future nodes. The industry is still actively exploring these local-routing ratios. At VLSI 2026, imec will be presenting work on even higher ratios, including a 2:1 scheme that can reduce area by up to 14%. We will be covering the conference in a future newsletter article. Subscribe We’re diving deep into the most advanced datacenter and AI hardware hitting the market. To learn more about what’s in the pipeline or to commission a custom teardown, contact sales@semianalysis.com. Interested in joining us on this ride and think you can be a difference maker? Check out our Careers page. The final local interconnect layer for N+3 is M3, with a pitch of 44 nm. The M3 pitch is the same as on N+2 and 10% larger than on N6. The semi-global layers carry the majority of block-level signal routing. They have a coarser pitch than the lower local layers. On leading-edge nodes, they are designed to sit at the limit of DUV single patterning. M4 through M11 pitches were found divided between 80–82 nm (M4–M6), 128 nm (M7–M10), and 148 nm (M11). Given limited sampling, it is possible these are divided further in dense routing areas. At the top are two giant metal layers, M12 and M13. These have kept the same pitches as N+2 at 1920 nm and 4600 nm respectively. While the lower layers’ pitches are generally fixed by the process and library, the upper layers vary much more in pitch and count, depending on the design. Even two smartphone SoCs on the same process can have wildly different metal stacks. The Helio G99 carries fewer routing layers, reaching coarse metal pitches of 850 nm by M9, while the larger and higher-performance Kirin 9030 keeps fine pitches until M11. SRAM At the leading edge, SRAM is much more difficult to scale than logic. TSMC’s latest nodes have seen little to no bitcell scaling, while logic still has more DTCO levers to pull. While looking for other logic libraries in the GPU compute units, we stumbled upon the SRAM. The most common type of SRAM has 6 transistors (6T), but this cell had 8 transistors (8T) instead. 8T SRAM adds two transistors to form a dedicated read port. Unlike a 6T cell, where reading disturbs the storage, the decoupled read port removes read-disturb, improving read stability and letting the cell be pushed harder for performance. At first glance, the cut looked like an unusual logic library, with each cell row having 3 fins of one polarity and 5 fins of another. The rows also alternated in orientation. Energy-dispersive X-ray spectroscopy (EDS) resolved our confusion. The cut had not landed on the GPU logic, but on the SRAM macro beside it. The unusual fin pattern was due to the SRAM library. We return to EDS in the process flow analysis behind the paywall. SRAM libraries are not like traditional logic libraries. Due to the unequal number of PMOS and NMOS transistors, they require specialized rules and layout libraries. They do not need the flexibility of logic libraries, so they are hyper-optimized for one purpose: dense, reliable memory. The SRAM cell we found is a 1:2:2-2:2 cell. This means there is 1 fin per pull-up (PU) PMOS transistor, and 2 fins per pull-down (PD) and pass-gate (PG) NMOS transistor. These 2 PU, 2 PD and 2 PG transistors would usually form a single 6T high-current cell (HCC). An 8T HCC adds a read-pull-down (RPD) and a read-pass-gate (RPG) NMOS transistor, each with two fins. We measured a cell height of 406 nm, which brings the bitcell size to 0.0463 µm². That is a theoretical peak density of 21.6 Mib/mm². We estimate that a 6T HCC would have a cell height of 292 nm and a size of 0.0337 µm². This is ~12% larger than a 6T HCC on Intel 3 and 4. We also estimate the 6T high-density cell (HDC) to have a cell height of 228 nm and a size of 0.0260 µm². This is coincidentally the same as the logic standard-cell height measured earlier. The estimate puts the cell near Samsung 7LPP/5LPP and slightly below TSMC N7/N6. That is a theoretical peak density of 38.5 Mib/mm². 6T HDC is arguably the most important cell as it is used for the largest caches in a chip, the L3 caches and system-level cache (SLC). Both the Kirin 9020 and 9030 have split the SLC into 4 banks to raise total SLC bandwidth. In the Kirin 9030, the SLC increased from 2 MiB to 3 MiB per bank. Correspondingly, the number of arrays within the bank also increased by 50%, from 16 to 24. Each array can store 128 KiB and forms an orderly pattern on the die shot. From the Kirin 9020 to the Kirin 9030, the area of a 128 KiB SLC array decreased from 0.0477 mm² to 0.0392 mm², an 18% shrink. The achieved density is 25.5 Mib/mm², 66% of the theoretical maximum. While the SLC was quite similar across both chips, the L3 has seen some major changes, particularly in terms of its layout. The total capacity also went up from 10 MiB to 12 MiB. Much like the SLC, the L3 is also split into 4 banks. In the Kirin 9020, an L3 bank consisted of 16× 128 KiB arrays and 16× 32 KiB arrays. However, an L3 bank in the Kirin 9030 instead consists of 48× 64 KiB arrays. In the Kirin 9020 L3, a 128 KiB array was 0.0513 mm² and a 32 KiB array was 0.0154 mm². The size of the 128 KiB array is different on the L3 and SLC as the assist circuitry for the two arrays differs depending on their purpose. In the Kirin 9030 L3, a 64 KiB array is 0.0210 mm². Although not a like-for-like comparison, normalized for capacity, it is 18% smaller than the 9020’s 128 KiB L3 array and 31% smaller than its 32 KiB L3 array. The achieved density is slightly lower than the SLC, at 23.8 Mib/mm², 62% of the theoretical maximum. Unlike the L3 and SLC, the prime cores’ private L2 cache uses a 2-bank design. As the prime cores’ L2 is latency-critical, it likely uses 6T HCC instead of 6T HDC. The 9020 has 16 arrays in each bank while the 9030 has 32. Each array has a capacity of 32 KiB. A 32 KiB array in the L2 shrank from 0.0171 mm² to 0.0142 mm², ~17% smaller. The density is 17.6 Mib/mm², ~59% of the theoretical maximum for 6T HCC. SRAM scaled well from N+2 to N+3, shrinking by ~19%, close to the theoretical logic shrink. The caveat is that N+2’s bitcells were unusually large, bigger than comparable 7 nm-class nodes, so part of the gain is catch-up rather than true scaling. With the insights from STEEL’s teardowns, we will be doing a deep dive into SRAM in a future newsletter article. Subscribe Everything above came out of a single STEEL teardown: die annotation, block-level area analysis and TEM cross-sections through logic and SRAM. We’re diving deep into the most advanced datacenter and AI hardware hitting the market. To learn more about what’s in the pipeline or to commission a custom teardown, contact sales@semianalysis.com. Future Roadmap The same cross-sections that pin down N+3 also show where SMIC can go next. Although N+3 is already close to the practical limits of DUV multi-patterning in several layers, SMIC still has a few scaling levers left. A theoretical N+4 would likely start with cell height. N+3 uses 5 M0 tracks between its power rails. Moving to 4 M0 tracks, as on SMIC N+2 and TSMC N6, could reduce cell height by roughly 15%. The routing grid is only one side of the shrink; the front end also must fit into the smaller cell. One possible FEOL lever is reducing the p-to-n isolation spacing from two diffusion grid units to one. Intel used this scaling booster on Intel 4, and TSMC did so on its N3 family. This path trades layout flexibility for density. Fewer M0 tracks reduce local routing resources, while tighter p-to-n spacing raises integration and design-rule difficulty. M2 is also constrained by the cell height shrink. For SMIC to maintain a ~5.7-track cell, M2 would need to move toward ~35 nm. That would move another layer into SAQP territory. SMIC could also reduce the CGP from 57 nm to 54 nm. Intel reached a similar CGP on Intel 10 nm/Intel 7 without EUV. The local interconnect is also tougher. If SMIC keeps the 3:2 M1-to-gate ratio, M1 would need to shrink to 36 nm and would likely require SAQP as well. If SMIC moves to a 1:1 ratio, M1 could relax to 54 nm, but it would give up routing flexibility. Under this theoretical path, we estimate that SMIC N+4 could reach a cell height of 198 nm and a CGP of 54 nm, implying a Bohr density of 137.8 MTr/mm², on par with TSMC N5 or Samsung SF4. However, the difficulty is cumulative. Each step is individually plausible, but together they make N+4 harder than the transition from N+2 to N+3. It will likely take longer, cost more, and carry less process margin. A theoretical N+5 would require a larger integration shift. One possible path is backside contacts (BSCon), moving power routing and source/drain contacts to the backside, which would reduce front-side routing pressure and enable another reduction in cell height. The front-side metal pitches could relax to reduce the process complexity. M0 would likely relax slightly to ~34 nm, and M2 and M4 pitches could relax further. CGP is unlikely to shrink much further. Even with EUV, 48 nm has been the practical limit for yield and process control. This approach would allow N+5’s cell height to fall to 170 nm and its CGP to 53 nm. This implies a Bohr density of 163.6 MTr/mm², on par with Intel 18A’s HP library. However, this would not make N+5 cost-competitive with the leading edge. It would reach a similar density through a much more expensive route. The integration difficulty rises sharply, with new process flows for backside alignment, wafer thinning, contact reveal, and backside metallization. Past this point, standard density and interconnect scaling become increasingly unattractive. That is where Huawei’s roadmap stops looking like a normal foundry roadmap and starts looking like a packaging roadmap. At ISCAS 2026, Huawei unveiled its tau (τ) scaling law, reframing process scaling in the time domain. τ is the time cost of data movement and processing: switching delays in transistors, RC signal propagation delays in circuits, compute, memory, and networking latency. Outside Huawei’s terminology, this is called system-technology co-optimization. This is Huawei’s answer to its lack of EUV lithography. Without EUV, planar density cannot keep pace with TSMC, Intel, or Samsung. If transistor density cannot shrink further, Huawei’s alternative is to shorten wires, reduce buffering, and stack logic vertically. “LogicFolding”, Huawei’s implementation of this new scaling idea, is, in practice, an aggressive 3D stacking approach. AMD V-Cache places SRAM above or below a CPU die. AMD’s MI350X places active interposer dies (AIDs) underneath accelerator and compute dies (XCDs), with the AIDs handling cache, IO interfaces, the network-on-chip (NoC) and embedded metal-insulator-metal (MIM) capacitors. With LogicFolding, parts of the same logic block are split across multiple active dies bonded face-to-face at ultra-fine pitch. This allows Huawei to shorten some critical paths and reduce buffer overhead, not merely add cache capacity or offload the IO and interconnect. Shortening wires is where the higher clocks come from. A large share of a modern core’s delay and energy budget goes into driving long interconnects and the repeater buffers along them. LogicFolding distributes a block’s critical-path gates across multiple stacked tiers bonded at a very fine pitch, so the bond interface behaves like an additional metal layer and the longest paths get shorter. That is how Huawei expects to recover frequency and efficiency it cannot get from the process alone. Huawei’s roadmap shows its intent. Prime core frequency is targeted to rise from 2.75 GHz in the Kirin 9030 to roughly 5 GHz by 2031, far beyond what planar scaling alone could deliver. Prime cores with 3.1 and 3.39 GHz clocks are being tested in its labs, although their power consumption is unknown. Beyond that, chips are in the design, simulation or pathfinding phase, meaning the frequencies are targets. However, the direction matters more: LogicFolding also helps with performance, not just density. The catch is that Huawei’s density claim is not directly comparable to foundry densities. A stacked design can report more transistors per package footprint by adding active layers, even if each patterned die remains well behind TSMC or Intel in front-end density. This is how Huawei can claim to reach foundry 14A-equivalent density by 2031. This is not a like-for-like foundry comparison, with Huawei using stacked logic and measuring density per package footprint. On a normalized Bohr-density basis, SMIC N+3 is ~114 MTr/mm², 38% less than Intel 18A’s HD library. Huawei’s 3D roadmap closes the gap by stacking active logic, reaching 215 MTr/mm² by 2030. In 2031, the roadmap density jumps to 295 MTr/mm², implying either a third active layer, partial EUV insertion or aggressive planar DUV scaling. Huawei’s methodology makes other foundries look much denser as well. Applying it to AMD’s MI450X with an N2 top die on an N3P base die yields a theoretical density of 460.2 MTr/mm² in 2026, compared with Huawei’s 295 MTr/mm² in 2031. This Kirin 9030 does not use LogicFolding, remaining in a conventional mobile SoC package. Instead, it forms the baseline for how far Huawei and SMIC can push planar scaling. Future teardowns of Kirin and Ascend chips will show both planar logic density and Huawei’s hybrid bonding solutions. Export controls changed China’s optimization problem rather than ending it. EUV restrictions raised the cost and complexity of leading-edge manufacturing without freezing it. SMIC reaches N6-class logic density through DUV immersion, SAQP and DTCO, while Huawei shifts more of the burden onto architecture, packaging and system-level integration. Future nodes will be tougher. N+3 still had room to tighten local metals and reduce cell height and CGP. Further scaling without EUV leaves fewer levers. More aggressive multi-patterning adds masks and overlay error. SMIC can keep pushing DUV, but each step will get more expensive and less forgiving. The design side is just as critical. Huawei had domestic EDA tools and flows before the Kirin 9030, with the Kirin 9000s, 9010 and 9020 making that clear. Huawei was able to ship multiple consumer SoCs on SMIC N+2 and N+3 while cut off from the Western EDA stack. US export controls restricted EDA tools for advanced chips in 2022 but did not target tools for more mature chips. In 2025, the US government briefly placed much broader restrictions on EDA software from Synopsys, Cadence, and others, before lifting them less than two months later as part of a trade deal tied to rare earths. Huawei has been unable to access those tools because it remains on a US trade blacklist. That forced Huawei, SMIC and Chinese academic institutions to build their own tools and flows. Researchers at Peking University recently announced a prototype EDA tool for Huawei’s LogicFolding architecture, which requires a new flow to handle the multilayer layout and floorplan. This is not the same as replacing the full Synopsys or Cadence stack, but it shows where domestic EDA is headed: toward tighter co-optimization between architecture, process and packaging. These advances are also diffusing into the Chinese ecosystem. SMIC is licensing its N+2 and N+3 processes to HLMC/Hua Hong at the government’s direction rather than by choice. If the same process learning feeds into Ascend accelerators for AI training and inference, the choke point shifts from one named fab to an ecosystem. Alibaba’s T-Head silicon arm and Cambricon, a Chinese AI chip designer that is expected to supply ByteDance, could also be major beneficiaries. Sanctions aimed at SMIC alone become less effective once the manufacturing knowledge has spread to other fabs and design houses. China is not closing the gap with Intel, Samsung and TSMC. The teardown shows the opposite in several places: no EUV, no backside power, higher process complexity, and visible trade-offs. But China is still advancing. If domestic chips become good enough for phones, inference, networking and security-sensitive workloads, they can matter strategically without matching TSMC at the leading edge. Behind the paywall, we show what else STEEL can do, with material and process flow analysis of SMIC N+3, and analysis of the Kirin 9030 package. We’re diving deep into the most advanced datacenter and AI hardware hitting the market. To learn more about what’s in the pipeline, access the full Kirin 9030 and SMIC N+3 analysis or to commission a custom teardown, contact sales@semianalysis.com.
How to avoid garbage news on Google Search
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MrBeast Sales Slow, Angel Stock Falls, MUBI and Neon Look for Hits, and Will an NBA Franchise Set a Sales Record?
(Welcome to the Entertainment Strategy Guy, a newsletter on the entertainment industry and business strategy. I write a weekly Streaming Ratings Report and a bi-weekly strategy column, along with occasional deep dives into other topics, like today’s article. Please subscribe.) You probably remember egg prices spiking a few years ago. This led to a lot of debate between the pro-market/pro-competition/antitrust/Neo-Brandesian crowd and the center/center-right/center-left/abundance/libertarian crowd over the cause, whether it was the avian flu outbreak or whether industry consolidation led to price fixing, using avian flu as a convenient cover. Basel Musharbash wrote a whole investigation at BIG looking at it. Well, two years later, we have our answer: it was price fixing. The Justice Department found proof, via emails, of price fixing. Indeed, just the threat of an investigation brought prices down two years ago: I bring this up because at least half a dozen of my favorite political writers and pundits, who were skeptical about price fixing at the time, haven’t written any mea culpas on this issue. It’s really dispiriting and makes it much, much harder to trust their work on other issues. If you take a hard stand on an issue, then you get it wrong, you need to explain how and why you got it wrong. Or update your priors. This is how epistemological bubbles are formed! All of which is to say, it’s time for another installment of “What I Got Right, What I Got Wrong”. Last issue, I mostly focused on the “wrong” side of the equation, so today’s is a bit more balanced, but with one big mea culpa (though I still stand by my original concerns). Let’s dive right in! Subscribe CORRECTION: UFC Didn’t Release Subscriber Data (But Seems to Have Bragged About It Internally) In my analysis of the viewership of UFC Freedom 250, I wrote... “Paramount has also released datecdotes bragging about their subscriber numbers. Earlier this year, they claimed that the first UFC fight on Paramount+ brought in 1 million subscribers.” Well, that datecdote did not come from a PR rep, but from great reporting from James Faris at Business Insider. The actual quote was this: “Paramount’s flagship streaming service generated about a million new subscribers on the day of its first-ever UFC event, Paramount product chief Dane Glasgow told employees in a town hall on Tuesday morning, three staffers who attended the meeting told Business Insider.“ This wasn’t the biggest goof in the world; even Faris emphasized to me that this is more a “clarification” than a correction. Still, it sounds like, internally, the folks at Paramount were very happy about this result—and I’m guessing they were happy with this news getting out—even though the gains didn’t last through the quarter, dropping to 700K adds. RIGHT: MrBeast’s Struggles Continue... I’m very skeptical about MrBeast’s burgeoning media “empire” and, in particular, its $5 billion valuation, as I wrote earlier this year and last year. Sure enough, according to Business Insider, regarding its “booming” consumer products division_:_ “US sales volume grew 13% year-over-year in 2025, following a 33% leap the previous year, according to a presentation deck dated May 2026....A February 2025 investor deck viewed by Business Insider showed Feastables’ net revenue more than doubled in 2024 from 2023, to $215 million, and was forecast to grow 74% in 2025, to $375 million.” [Emphasis mine.] If you told investors that you projected 74% growth but delivered 13%,1 that’s not ideal. But it’s not just MrBeast. Logan Paul and KSI’s Prime had sales drop in half for their energy drinks. It’s one thing to build a successful entertainment company and an entirely different thing to succeed in the heavily-consolidated-but-also-very-competitive consumer packaged goods space! CPGs are dominated by a few firms with very wide moats compared to YouTube, which has few barriers to entry. These businesses require different skill sets and have completely different business environments. WRONG: Does the NBA Have an $8 Billion Bidder? Almost as soon as I published my article about the NBA’s finances, casting skepticism on NBA expansion, I saw this Front Office Sports headline: One group “claims to have already raised $8 billion” for the Vegas expansion team. I mean, wow. That’s just $2 billion less than what the Los Angeles Lakers were valued at when they were sold just last year. And they’re arguably the most popular team in the NBA. (Side note: the new owner is now under an investigation for fraud in how he went about financing the Lakers and the Dodgers purchases.) So much for the “dried up” language I used in that article. (This is why I usually stick to my “Entertainment Nuance Guy” tone in articles...) I went off old information—from April, when I read/heard about the NBA downplaying expansion efforts—instead of doing a quick double-check for new news. That said...if you read the article, the market for Seattle is “slow”, with just one reported bidder. So I wasn’t entirely off. This goof has annoyed me since I first published it, mainly because it undercut that article’s real point, which I stand by: NBA franchises are really overvalued right now. Now, I get why NBA teams are overvalued. When it comes to owning sports teams, it’s basically never wrong to assume that some rich person somewhere will care more about owning a team (or just being part of a group since they’re so expensive) than the actual financials. There are only so many teams to own, and opportunities to buy in preferred markets don’t come along very often. This explains why the teams sell for such high multiples (usually above a 10 to 12.5 revenue multiple, which is very high). You only need one person to overpay! Beyond the ultra-wealthy luxury good explanation, I worry NBA teams are becoming speculative assets. More and more private equity investors are buying into NBA teams. But the value, in owning a team, comes from selling it later, not any meaningful relationship to revenue or profit growth. In other words, the newer NBA owners are increasingly expecting someone later to buy their inflated asset. That’s not sound economics; that’s the “greater fool” theory at work.2 At some point, actually making money has to matter. Especially since revenue growth is now below the growth of the stock market. (And this matters because the NBA doesn’t have easy levers to pull to drastically lower their costs—half of their revenue has to go to players and then you actually have to run a team, including coaching, training, travel, media expenses, and more—or raise revenues aside from one-off expansions in America and overseas.) I just don’t see how investors make their money back buying NBA teams, except for selling at a higher price later on down the line. But if revenue/profit growth continues to slow, at some point, someone will be left holding the bag. RIGHT: Baseball and Basketball are about equally popular. Related to the above, I wanted to cite two quick pieces of evidence for one of my other theories: that the NBA and MLB are about as popular as each other, but the NBA gets much, much better media coverage. One YouGov survey has that fans prefer basketball to baseball by 52% to 48%, which I’m guessing is within the margin of error for that poll. That’s virtually even, meaning they’re about the same popularity. Over on NBC, a recent Red Sox-Yankees game averaged 4 million viewers, higher than Sunday Night Basketball’s average of 3.4 million on the same network. A Yankees-Dodgers game averaged 3.9 million two weeks ago. Not every game averages this much, but it shows you that baseball isn’t far off from basketball, depending on the matchup. Altogether, the NBA is just slightly more popular than baseball, but NBC is paying MLB a fraction of what they pay the NBA, a point I’ve made before. RIGHT: Angel, MUBI and Neon Updates... I’ve long been skeptical about many of Hollywood’s buzziest startups/smaller indie studios. It’s not that they don’t make great movies—films like Anora and Everything Everywhere All at Once are amazing—or that they’re not (rightfully) pushing the majors to make better films, but...they get a ton of hype, and that hype often doesn’t live up to the reality or difficulty in scaling up. Starting with MUBI, well, The Wall Street Journal wrote a feature on MUBI’s struggles last April, best summarized by the subheader “After Sequoia valued Mubi at $1 billion, a left-wing revolt sent the indie film company into a tailspin”. MUBI lost $7.3 million on $200 million in revenue in Q4 2025, but reportedly hit a record 1.7 million subscribers at the end of Q1. As for Neon, Department M purchased a “significant stake” in the company earlier this year. How much is that “stake” worth? According to Deadline, “No financial figures for the Neon-Department M deal were disclosed.” So...that’s not great! If it was a big valuation, we’d hear about. Also, I found this curious: “Both Neon and Department M already have separate partnerships with Qatar. The Qatar Film Committee has a slate deal in place with the former, and a biopic production pact with the latter.” Color me skeptical about much Middle Eastern investment dollars. See: LIV Golf. Finally, as for Angel (formerly Angel Studios), their stock very, very slightly popped last month after Young Washington ($20 million budget) which made $45 million in the US, but their stock is still way down from its opening. Smaller Updates RIGHT: The WGA should focus on antitrust concerns! I’ve been on this for years. Post-WGA/AMTPT deal in 2023, I wrote an article for the Ankler calling on the WGA to focus and organize against industry consolidation. Sure enough, the WGA filed a lawsuit against the Paramount-WBD merger, and people are organizing around this issue now. I wish this energy had coalesced earlier (specifically to lobby Washington much earlier), but better late than never! WRONG: Actually, the chip shortage might be due to market manipulation. In my last “Long Reads for the Long Summer” article, I shared an article about how LLMs are causing memory chip prices to spike, which will make all electronics more expensive. Well, turns out, three RAM manufacturers control 90% of the market, and now a private lawsuit accuses them of price-fixing. So yeah. WRONG/UPDATE: The Odyssey will hold! Two weeks ago, I wrote, “As of this moment, we haven’t had a super-blockbuster, though The Odyssey, Spider-Man: Brand New Day and Avengers: Doomsday could all cross the $500 million mark. (At this point, The Odyssey would need a very strong hold to get there.)” Well, it’s safe to say it’s going to have that hold! It only dropped 30% in weekend two and IMAX screenings are sold out all month. Spider-Man: Brand New Day is also off to a great start. RIGHT: People are rushing to get shows out yearly. I’ve long been bullish on yearly, weekly-released shows, and Leslie Goldberg at The Ankler wrote about how many people in town are now listening. WRONG: Mark Carney reverses Canada’s stance on homegrown production. After writing about Canada installing domestic production quotas, Canada has backed off. WRONG: I don’t trust Spider-Man: Brand New Day’s online “views”. When I originally wrote about the latest Spider-Man film’s record-breaking trailer, I thought this was just YouTube views, but after watching this Corridor Crew video and doing more research, well, it’s all social views of the trailer globally. Really? That stat includes TikTok, Reels and YouTube Shorts views. Basically, I don’t trust it anymore. (This film will probably set record, but I trust the pre-sales data more.) RIGHT: Celebrity Production companies are still struggling. I’ve written about this for years, but the company that I didn’t track was Kevin Hart’s HartBeat, which was valued at $650 million but is struggling now and might just end soon, especially after Kevin Hart pulled his endorsement deals. And Bad Robot is moving to NYC. CORRECTION: SpongeBob is a “second run” title. In my 2025 recap article, I had _SpongeBob SquarePants_labelled as a “library” title, when it is still a “second run” show, with new episodes still coming out on Nickelodeon. CORRECTION: In my last “What I Got Right, What I Got Wrong” update, I offered a correction from Doug Creutz and misspelled TD Cowen. Thanks, Grammarly! 1 Though he could have increased prices to make up for the gap, he couldn’t have increased them that much. 2 There’s a theory, which I think that Daryl Morey created and Bill Simmons popularized, that, to be successful building your team, you only need a handful of bad GMs in the league to take advantage of. To be clear, Daryl Morey’s theory was also for signing bad contracts, that you could always get out of bad contracts. Basically, there’s always someone who will make a bad trade. It’s not the same exact thing, but similar enough to the Greater Fool Theory that I really like it.
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Will Netflix’s Latest Horror Film Save Its Summer? And Introducing a New Data Source...
(Welcome to my weekly streaming ratings report, the single best guide to what’s popular in streaming TV and what isn’t. I’m the Entertainment Strategy Guy, a former streaming executive who now analyzes business strategy in the entertainment industry. If you were forwarded this email, please subscribe to get these insights each week.) All month, I’ve been polling you, my readers, on how we think the summer’s biggest blockbusters will do when they eventually land on streaming, and I wanted to share the results. First up, how readers think The Odyssey will perform when it comes to Peacock... People are pretty bullish that The Odyssey will smash it for Peacock. I don’t know that it will have as much rewatchability as Wicked did for kids, but we’ll see. It is now Universal’s highest-grossing film of all time. One note: almost half of Christopher Nolan’s films weren’t available for streaming the week The Odyssey came to theaters, including some of his biggest films like Inception, Dunkirk, Tenet, Oppenheimer and Insomnia. If you did want to watch the others, Prime Video had Memento and The Dark Knight trilogy, HBO Max only had The Dark Knight trilogy (even though Warner Bros. produced most of Nolan’s films), Hulu had The Prestige and Interstellar, and Paramount+ had Interstellar. So you needed at least two streaming subscriptions to catch the rest. Warner Bros. whiffed right here. I know they have long term licensing deals, but they should have tried to get as many Nolan films on HBO Max for launch as possible. Here are the results for Spider-Man: Brand New Day: The audience is a bit more mixed on this one, with everyone agreeing Spider-Man will swing to a big opening, but not necessarily elite or best all time. On to this week’s issue. Netflix continues searching for a hit straight-to-streaming summer film and Lioness and Ted Lasso allow me to look at the difference between a “hit” and a ‘hit for them”. All that, plus new YA/teen melodramas on Prime Video and Netflix, the House of the Dragon finale, USA Network claims a big opening, more big NFL ratings, all the flops, bombs and misses, and a whole lot more. But we start with a fun new data announcement. Let’s dive right in! (Reminder: The streaming ratings report focuses on the U.S. market and compiles data from Nielsen’s weekly top ten viewership ranks, Luminate’s Top Ten Data, JustWatch and Reelgood interest data, Samba TV household viewership, company datecdotes, Netflix hours viewed data, Google Trends, and IMDb to determine the most popular content. While most data points are current, Nielsen’s data covers the weeks of August 3rd to August 9th, 2026. You can find a link to my terminology here.) Subscribe A New Data Source: Reelgood’s Data on Content Libraries Here’s a fun new treat for you. Reelgood—an online service and app that lets users track where shows or films are streaming—is providing data every month for the Streaming Ratings Report on the size of each streamer’s catalogue, along with the new shows and films for each streamer. Yay! Previously, I had pulled “new shows on streamers premiering on the first of the month”: While I liked that data cut, it was a big wonky since it didn’t show all of the new shows or movies that came to a streamer each month. Instead, I would have preferred something like this from Reelgood’s annual report: And now we have it! I’m going to feature Reelgood’s data monthly, showing both total catalogue size and new shows and films appearing on the charts. That’s going to make these two cool new charts. First, here’s the size of various streamers’ film catalogues… (By the way, Reelgood offered to make the charts for me, but I like doing that task by hand to understand the data better.) They also provided data back to last year. Here’s the number of films timeline: And here are the new films on each streamer for the month prior to Aug: As I get used to this data, I plan to keep tinkering with how I display it, but I’m excited to feature it monthly. Today, I’m sharing the film charts; next issue, I’m going to feature TV shows by streamer. Now, in full disclosure, Reelgood is a sponsor of this little-newsletter-that-could. But in my constant quest to figure out what streamer various shows and films are on, I was already a Reelgood user before this sponsorship. I go to their website all the time, and their data is very accurate on where shows are (or have been). Plus, I’ve been sharing their weekly top ten lists for years now, pre-sponsorship. For me, this is a great win-win, since I get to amplify a service I love, and I get a cool new data source to play with. Now, normally folks don’t usually mention their sponsors directly, but as I wrote before, as I start featuring ads in my newsletter, I plan to be extremely open about who is sponsoring my writing so you can trust what I write. Television - Two Big Returning Shows Look Set to Take Over The Charts One key question when it comes to judging streaming shows is whether a show is a “hit” or a “hit for them”. To be clear, the former means a show that’s one of the top shows on streaming, no questions asked. The latter means a show is one of the biggest, for a given streamer. That distinction makes a big difference! It’s really good to be one of the biggest shows on a streamer; it’s much better to be the biggest on streaming, despite the size of a streamer. Because, as we’ve seen now, nearly every streamer—while lacking the number of subscribers or usage of Netflix—can make hit TV shows: Paramount released Landman, whose first and second seasons were among the top two TV shows the year they came out. HBO Max’s The Pitt’s second season is the biggest show of the year so far. Love Island USA was the top show in 2025 for Peacock. And, crucially for today’s discussion: Wayyyyyyyyyyyyyyyyyyyyyyyyyy back in 2023, Ted Lasso was actually the top streaming show of the year according to Nielsen! So even Apple TV (formerly +) can make hit shows. It just doesn’t make them that often. And looking at the Nielsen charts this week, we have two prime candidates for this discussion: That’s right: Ted Lasso returned to Apple TV for its fourth season. Did it return in all its expected glory? Sure, though right now it’s still just a “hit for Apple TV”, but we’ll see how long it lasts on the charts. Its ten episodes are coming out weekly. (Smart choice, Apple!) Ted Lasso started out strong, actually making the Nielsen charts the week before new episodes dropped, which is a rare feat. (Shows like Stranger Things or Bridgerton have pulled that off. That’s terrific company to join!) On Nielsen, it opened to 14.4 million hours in its first week, and 16.6 million the week of 10-Aug. Here’s how that compares to previous seasons: Apple put out that this is their biggest TV launch through two days ever, and looking at the chart and Apple TV’s viewership history, I’d believe it. Here’s Apple’s top shows for season two and beyond: Other data tells a (mostly) similar story. Ted Lasso made Samba TV and it has elite IMDb scores, an insane 8.7 on 465K reviews. The only outlier is Luminate, where the latest season only had 7.4 million hours, and no other seasons made the top ten. As you’ll see below, that’s well below some other solid, but not spectacular shows like Sterling Point, Ride or Die or Furious. I’d be surprised if Ted Lasso isn’t bigger than those other shows, but it’s fine for different data sources to occasionally disagree. And while it’s sucky to bring this up, given that Warner Bros. produced this show, I do wonder how the streaming wars may have been different if Ted Lasso landed on HBO Max initially instead of Apple. I don’t think one show can make or break a streamer, but given HBO’s brand, it could have helped bring people to that streamer much earlier in its lifespan. (Though yeah, I don’t love calling out executives for passing on hit shows, since that’s just the nature of the job. Even the absolute best execs will pass on lots of successful shows. The key is not greenlighting the under-performers/misses.) The other show I’m thinking about in the “hit or hit for them” category is Lioness from Paramount+. Like Ted Lasso, its first season missed the charts, but it’s grown its audience since then. Here’s how season three opened: We’re just getting started with this issue, but the rest is for paid subscribers of the Entertainment Strategy Guy, so if you’d like to find out… How Lioness did on streaming... Two new melodramas for Netflix and Prime Video... Whether Netflix’s latest horror film saved its summer... Hulu’s Furious and Prime Video’s Ride or Die continuing their strong runs... The latest high profile showrunner to flop on streaming... All the flops, bombs and misses... And a whole lot more... ...please subscribe! We can only keep doing this great work with your support. Next week, we’ve got a double issue—since the week of 17-Aug had very few notable new shows or films—so I’ll look at HBO’s Lanterns, Prime Video’s Reacher, Netflix’s Tires, Outer Banks (which posted up huge numbers four years ago), an Aussie romance, and another baseball event (that didn’t resonate). And a bunch of movies like the latest dramedy from an Adam Sandler daughter, Don’t Say Good Luck, Camp Rock 3 on Disney Channel and Disney+, Michael on Starz, and more. Later this month, we’ve got a ton of shows and films to analyze! Movies will be the big story, featuring a box office bomb (Supergirl on HBO Max) and an “underperformer” (The Mandalorian and Grogu on Disney+) contending with a bunch of star-studded straight-to-streaming films like Netflix’s The Whisper Man (Adam Scott, Michelle Monaghan and De Niro!), Mayday on Apple TV+ (Ryan Reynolds and Kenneth Branagh!), The Runner (Gal Gadot) and The Last Sunrise (Eva Longoria and Maia Reficco) on Prime Video. Plus, a ton of TV shows have sophomore seasons coming out. Will The Gentleman put up big numbers on Netflix or suffer from a sophomore slump? Leanne and Beauty in Black on Netflix seem small, but they both might be bigger than you think. Hulu has a bunch of shows: a new season of The Secret Lives of Mormon Wives (the first after all the controversy last year) and the second season of Chad Powers (from Peyton Manning’s production company and starring Glen Powell). This one flopped last year; can it score a touchdown this year? Same goes for FX’s Adults, which I didn’t track last year; will it hit this year? Peacock’s The Office spinoff, The Paper and Apple TV’s Dark Matter also return for second seasons. And Netflix has more Untold specials featuring Vince Young, Raygun (that horrible breakdancer) and Mr. T. Long term, Paramount+ is rebooting yet another franchise, Clueless, and I’m somewhat bullish on this new show. The talent attached (Alicia Silverstone) and creative Josh Schwartz and Stephanie Savage (of The O.C. and Gossip Girl) also feel solid...if they make it funny like the original.
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