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Shaky political science: using "simulated" elections over real-world elections
[Dear DSOS readers – this article is the latest in our “Shaky Political Science” series. In our 38 page report, “Shaky political ‘science’ misses mark on ranked choice voting,” released in early December, we examined over 40 studies focused on ranked choice voting. We found that many of these studies suffered from puzzling research methodologies, poorly constructed surveys, unrealistic simulated elections, cherry picked data, and faulty analyses that often were contradicted by results from real-world elections (a link to our full paper is here). Here are links to the first three articles in our series: the first one summarizing the overall results of our report, the second one analyzing a study co-authored by University of Minnesota academic Larry Jacobs, which was one of the most error-prone of all the research we reviewed in our report, and a third article showing an admirable example of two political scientists holding two other political scientists accountable for their flawed, sloppy research]. In this fourth article in our “Shaky Political Science” series, we shine a spotlight on seven studies that were web-hosted and funded by New America’s Political Reform Program and its Electoral Reform Research Group (the ERRG is an ad hoc committee headed by New America’s Political Reform Program and joined by the American Enterprise Institute, the Unite America Institute and Stanford University’s Center on Democracy, Development, and the Rule of Law). This research consortium has been led by Lee Drutman, senior fellow with New America’s Political Reform Program. These seven studies are simply not credible from any objective standard about how political “science” is supposed to illuminate our understanding of either ranked choice voting or politics in general. The feature that six of these seven studies have in common is that they all used surveys – artificial, simulated elections -- to attempt to say something cogent or interesting about ranked choice voting (RCV) elections. None of them used real world data from actual RCV elections – either the 1000+ elections in the US or the many thousands of elections from places like Australia, Ireland and elsewhere where RCV has been used for 100 years. While a few of these studies conclude with some mixed positives about RCV, our analysis here is content neutral. The idea that, with a political reform like RCV, you can ask respondents in a mock, artificial election to vote with that method, with only the barest of explanation about how RCV works or its likely impacts (i.e. no spoiler candidates, majority winners, voters liberated to pick their favorite candidates, coalition-building), and then ask them their thoughts/reactions about voting in that system, with fake candidates and no real campaigning, no real exposure to an actual election or actual candidates, rests on some very puzzling assumptions. The findings of these seven studies actually are contradicted by the findings from many other studies based on real-world RCV elections. These New America studies also failed to list the real-world RCV studies in their own citations, instead including those studies that reinforced their conclusions. The seven studies featured in this article were chosen because they form a cohesive cohort which precisely illustrates one of the main points of our research paper, namely that using surveys, i.e. artificial elections, or mathematical/theoretical models, instead of real-world data, is in fact “shaky political science.” Below are summaries of our analysis of five of the seven New America studies. You can read our complete analysis of all seven studies at our paper, “Shaky political ‘science’ misses mark on ranked choice voting.” Choosing to “Vote As Usual” by Andre Blais, Carolina Plescia, and Semra Sevi. New America. (Blais et al., 2021). This study, web-hosted and funded by New America’s Political Reform Program and its Electoral Reform Research Group, used two surveys in which respondents completed ballots for simulated elections using plurality, approval, RCV and point (Score) voting. In both cases the authors provided the respondents with only minimal explanation of each method. For example, the entire explanation for RCV was “For this vote, rank the candidates from your first to your last choice (you do not need to rank them all). This is called the ranked vote.” That’s it. The study did not provide any context or explanation to survey respondents about why she/he might want to rank multiple candidates. Participants were not even told that ballots would be tabulated using an “instant” runoff, not to mention any description of RCVs ability to eliminate the spoiler effect or liberate voters to rank their favorite candidates without fear of helping the “greater evil” candidate to win. That’s like taking an iPhone back in time to 1970 and asking someone if they like it better than their rotary phone without explaining how it works. Their first survey targeted states that held 2020 Super Tuesday Democratic primaries and used the real candidates’ names in the survey; the second survey used fictitious candidates. In other words, they surveyed respondents who had only ever participated in plurality elections, had no history or background with using RCV or any of the other methods, had no clue about its likely impacts, and did not communicate how the alternative methods would be counted, and then asked them: “How satisfied are you with using each system?” Predictably, the winner was plurality elections, the system used for president, Congress, gubernatorial and state legislative elections – in other words, the method they have been using, year after year, all their voting lives. With so little explanation of RCV and its impacts, this study is simply not credible in discovering anything useful about real-world RCV elections. It merely shows that a basic voter education campaign is needed when adopting a new election system. Additionally, the result contradicts many other post-election surveys following real RCV elections, asking opinions from voters who had just participated in a RCV election, that showed a great deal of satisfaction with RCV (see details on that in Studies 22-25 in our paper, as well as the four studies cited in the review for Study 28). Share Other studies on “satisfaction” and “understanding” make similar mistakes, in terms of basing their surveys on inadequate explanation to respondents and lack of education about context. How could any survey ever hope to measure accurately, in essence simulate a real-world election, without actual campaigning candidates, the media writing about those candidates, organizations endorsing candidates and voters being inundated with crucial information? More than anything, what these “studies” based on surveys show is that if you ask voters about something they don’t know very much about, and fail to adequately educate them, their responses will unsurprisingly reflect their confusion. Equally puzzling is that New America’s Electoral Reform Research Group, headed by political scientist Lee Drutman, found this to be a credible enough study that they not only published it but highlighted it in Drutman’s own discussion of research related to ranked choice voting. This pattern was repeated in study after study featured by New America’s Electoral Reform Research Group. For example in Ranked-Choice Voting and Political Expression: Voter Guides Narrow the Gap between Informed and Uninformed Citizens by Cheryl Boudreau, Jonathan Colner, and Scott MacKenzie, the researchers based their analysis on a survey which found that respondents who were asked to vote in a simulated RCV election, with minimal explanation of RCV or how it works, displayed less evidence of being informed about how to use RCV effectively, with the least informed voters ranking fewer candidates. As pointed out under the study above, in a real election voters are informed by a wide variety of methods, including public education by the election administration, by interested political groups, the media, and the candidates themselves who benefit from voters being aware of how to vote in the new system. In Support for Ranked-Choice Voting across Race and Partisanship by Joseph Anthony, David C. Kimball, Jack Santucci and Jamil Scott, the researchers used respondents from different parties and races voting in simulated plurality and RCV elections, who indicated their satisfaction with each voting method. Instead of using real world election results, the authors fell back on the easy, armchair and less reliable academic research methodology of making up mock elections. As with the other studies, little explanation was given of how RCV works or what its implications might be (electing majority winners or eliminating spoilers, for example). Unsurprisingly, this study found that respondents were not very satisfied with RCV. However, when the authors added an explanation that RCV has a tendency to elect more women and people of color, they found that this greater explanation increased the preference for RCV. The more voters were familiar with it, and the more they understood potential positive impacts – surprise! -- the more they were open to switching away from the status quo. Of note, the results from this study are thoroughly contradicted by a number of other studies whose data was obtained from real RCV elections with real voters. Those studies show a great deal of satisfaction with RCV. More “fake election” research An interesting wrinkle on this “research by fake elections” approach, which only served to illustrate how unreliable such “research” can become, was taken in Ranked-Choice Voting, Runoff, and Democracy: Insights from Maine and Other U.S. States by Joseph Cerrone and Cynthia McClintock_,_ also web-hosted and funded by New America’s ERRG. It gets high marks for creativity, but an eye-roll for thinking this could possibly add anything meaningful to our understanding of real world RCV elections. This study tried to determine whether RCV, plurality or two-round runoff elections provided greater voter satisfaction and acceptance of election results. To determine that, the authors conducted a survey asking if voters were satisfied with a fictional newspaper report of an election, with three different versions given to respondents – plurality, runoff and RCV, with variations of Republican/Democrat winners and variations of “come-from-behind” winners,” i.e. candidates not initially in first place but who win the “runoff.” Again, a minimal explanation of RCV or how it works was given, and the survey showed that respondents had the greatest unfamiliarity with RCV than the other methods. The unsurprising result? Respondents were much more satisfied with “come-from-behind” victories in a traditional two-round runoff election than in RCV, even though RCV is also a runoff system but with a single round of counting. Interestingly, the dissatisfaction with RCV disappeared for those who were more familiar with RCV. In fact, among those respondents who were “very familiar” with RCV, they were equally satisfied with RCV, runoff and plurality. Surprise, surprise. Again, what this study revealed, more than anything, is not only the inadequacy of the explanation for RCV given by the authors of this study, but the failure of the research format itself, thinking that such an artificial mock election could somehow simulate what actually happens in the real world in a real RCV election. Those four studies reviewed above are fitting examples of inadequate and shaky political “science.” Other studies reviewed in our paper from the New America/Electoral Reform Research Group cohort which also used mock elections included: Ranked-Choice Voting is an Acquired Taste by Joseph Anthony and David C. Kimball. New America. (Anthony et al., 2021). Ranked-Choice Voting is No Refuge for Extreme Candidates by Melissa Baker. New America. (Baker, 2021). Also included in this New America cohort is Does Ranked-Choice Voting Reduce Racial Polarization? by Yuki Atsusaka and Theodore Landsman, which actually did use real-world election results data but applied an odd and unconventional methodology to the data which relied on shaky assumptions and non-real-world scenarios that were too divorced from reality. To determine levels of “racially polarized voting,” the researchers imagined “ethnic parties,” by which they mean political parties for each ethnic group, which was especially odd since the election data they were using came from nonpartisan RCV races. But then they made an even odder assumption, namely that since race and ethnic characteristics of studied voters were not available, the authors tried to infer that information based on who voters selected and the racial make-up of voters in each district. This amounted to little more than vague and ambiguous guesswork dressed up with a bunch of mathematical equations used to give it a veneer of scientific appearance. Indeed, it seemed to assume racial polarization in order to prove racial polarization. Based on this questionable methodology, the authors concluded that RCV doesn’t reduce racial polarization. But the premise of this study missed an obvious reality: since RCV incentivizes more candidates to run and can result in more diverse fields of candidates, one would expect more racially-polarized voting in voters’ top rankings, not less, because more voters would have someone on that ballot who represents their racial or ethnic identity and more freedom to vote for their real first choice. By encouraging more diverse candidates and eliminating the spoiler effect, RCV facilitates voting for a favorite candidate of your own race and then selecting a second choice with the best likelihood of winning. The real measure is what voters do with their additional rankings – do they consider other candidates and vote “for the best of the rest”? This study didn’t tell us anything useful about that. But readily available data shows this is common in real RCV elections, and candidates act on this knowledge by engaging with voters outside their racial group. So the authors of this study failed to consider or account for what actually happens in real-world elections, and their conclusions are tainted by this failure. New America has contributed a great deal over the past 2.5 decades to our understanding of many policy areas, including politics and political reform (full disclosure: Steven Hill, one of the authors of this article and of the “Shaky Political Science” research paper and series, is a former senior fellow and former director of New America’s political reform program, 2005-2010). So it was especially disappointing that New America funded and published such a large batch of dubious studies about ranked choice voting. The stated praiseworthy goal of its Electoral Reform Research Group was to inspire new academic research about ranked choice voting that would shed light and help the public better understand the impacts of RCV. Instead, the ERRG research did just the opposite. It produced dubious research that created more confusion and misinformation. In so doing, New America’s political reform program contributed to “shaky political science.” Steven Hill and Paul Haughey Share Upgrade to $5 subscription Thanks for reading DemocracySOS, a reader-supported digital portal for the pro-democracy movement. Subscribe for only $5 per month to receive full benefits and to support our work. Subscribe
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“AI polls” are fake polls
A few weeks after Donald Trump’s second presidential win, I took the train up from London (where I was living at the time) to Oxford to attend a conference on polls and forecasts of the 2024 election. Most of the attendees were pollsters or academics, but I also watched presentations from Aaru and Electric Twin, two companies that do what is interchangeably called synthetic sampling, silicon sampling, or synthetic audiences. Stripped of startup jargon, that means they use large language models (LLMs) to simulate responses to public opinion polls by having AI agents take on the role of survey respondents. I had already heard of Aaru thanks to some articles with eye-catching headlines like “No people, no problem: AI chatbots predict elections better than humans” in the months leading up to Election Day. The founders were making some big, some might even say far-fetched claims, such as: “within two years, we will simulate the entire globe — from the way crops are grown in Ukraine to how that impacts production of oil in Iraq, trade through the strait of Malacca, and elections for the mayor of Baltimore.” When Semafor asked Aaru’s cofounders — Cameron Fink and Ned Koh — about my boss, they said “we respect all those who came before us.” Nate (as he so often does) shared his thoughts on Twitter: Fink and Koh were relatively good-natured about this back-and-forth when we spoke at Oxford. They even offered to mail me one of the t-shirts featuring Nate’s quote they apparently had made. I never took them up on the offer, which I now somewhat regret. These synthetic sampling companies fell off my radar for a while, but they do still exist. In fact, Aaru recently received a $1 billion valuation. Is what they’re doing anywhere close to the most important frontier in AI development? Not by a longshot, especially when Anthropic just developed a model so adept at exploiting software vulnerabilities that it’s only being released to 40 companies. Still, silicon sampling is increasingly finding its way into public polling. Axios reported in March that “a majority of people trust their own doctors and nurses” based on findings from Aaru — without mentioning that the “people” in that sentence were actually LLMs. Around the same time, the Public Sentiment Institute “boosted” their online sample of 373 real survey respondents with 114 AI agents.1 (Spoiler alert: even the co-founder of Electric Twin doesn’t think that’s a particularly defensible approach.) Polling companies like Qualtrics and Ipsos are also developing synthetic data panels. So, what should we make of these … “polls”? Let’s get one thing out of the way: whatever they are, they’re not polls in the way that term is usually defined. Subscribe You can’t replace polls with AI On one hand, using LLMs to essentially make up fake survey respondents sort of sounds like the dumbest idea ever, one that will at best imperfectly replicate real polls while introducing all sorts of biases. On the other hand, with LLMs improving at a remarkable, perhaps even alarming rate, maybe that means I’m a dinosaur at the ripe old age of 24 because I still want to rely on polls that talk to actual people. I’m not going to argue that synthetic samples are completely useless. In fact, as I’ll return to later, there is evidence that some techniques can replicate topline survey results quickly and cheaply. But the marketing from certain companies can be slightly optimistic. “No traditional poll will exist by the time the next general election occurs,” said Fink in 2024. We’re just 206 days away from the midterms, and based on the fact that I still have to collect a bunch of polls every day, I’d say he should have run that prediction by a sample of AI agents before the interview.2 To see why synthetic samples can’t replace polls, here’s a quick primer on how they work. The simplest version of these models involves taking a LLM (like ChatGPT or Claude), giving it a demographic profile (e.g., a white, college-educated woman who lives in Utah and makes $70k a year), and then asking it to respond to a survey question. You repeat that process a few thousand times using different demographic profiles and end up with a sample of synthetic survey responses. The actual models used by private companies are more sophisticated than this, usually because they incorporate more hypothesized demographic characteristics for each agent and provide them with extra information. Aaru, for example, feeds agents a diet of news and information they’d be likely to consume, while Electric Twin incorporates their customers’ proprietary data about the audience they’re trying to replicate. The way Ben Warner, the co-founder of Electric Twin, explained it to me was “we have a large amount of data on […] for instance, 5,000 people. Can we make an accurate prediction of how they would respond to another question?” Still, it should be obvious why synthetic samples can’t replace polls. Polling is fundamentally a data collection process. We might use surveys to make predictions by feeding them into election forecasts, but the main purpose of a poll isn’t prediction, it’s gathering new data about what people think and how they feel. Silicon sampling, on the other hand, produces no new data. It’s simply a model: you input LLM training data, demographic prompts, and a bunch of other information, and it spits out a prediction for what a poll would say. We love models here, but models aren’t polls. That difference is an important philosophical sticking point for most pollsters I talk to. “I think politics should stay away from [synthetic sampling], because we’re trying to […] represent the voice of the people,” said Natalie Jackson, a vice president at GQR Insights. Democratic pollster John Hagner told me: “I think I’m just incredibly skeptical of this idea. I don’t think it’s research. At that point, you’re asking the machine to tell you what you already believe.” Hagner has seen some presentations of early synthetic sampling experiments, but so far, “if it’s being used in a campaign, people are keeping it incredibly quiet.”3 But Eli, I hear you saying, aren’t polls themselves increasingly governed by modeling decisions? Indeed they are: pollsters’ choices on which sampling method to use, how to define their likely voter models, and how to weight their samples can and do lead to dramatic differences in the results they publish. Aaru even referenced these limitations in the methodology statement included with that maternal mortality “poll” — although I’m using the term “methodology statement” loosely here, because it doesn’t really explain how the model works at all. We can ignore the (frankly preposterous) implication that synthetic sampling isn’t subject to a separate set of biases. The important point is that there’s still a meaningful difference between using weighting and other statistical techniques on actual polling data and using a model to predict what a poll would say. The latter is far closer to election forecasts or techniques like MRP — potentially useful models, but not a replacement for polls.4 To be fair, other synthetic sampling companies are perfectly happy with the distinction between polls and models. Warner compared polling and synthetic sampling to different tools in a toolbox. “The mistake I think we make is we think that these new tools should either work in exactly the same way or somehow replace these old tools,” he said. “Rather than thinking of it as, okay, so we’ve always had the hammer, we’ve always had the screwdriver, now we’ve got a saw. But don’t use a saw to try [to] do the job of a hammer.” A quick comment from Nate Eli didn’t ask me for a comment — rather rude of him, don’t you think? But since I’m editing this story, I figured I’d add a few quick thoughts rather than putting words in his mouth. Beyond the frequently misleading marketing, what bothers me about the AI “poll” hype is that as AI tools make statistical inference cheaper and/or better (note that these are not synonyms) that actually increases the comparative value of collecting original data. You might be able to train a model to make a reasonable estimate of what some hard-to-reach poll respondent would say — say, a young Black man who voted for Trump. (Such a person checks a number of boxes for a voter who is usually hard to reach in surveys.) Indeed, this is closely related to what models like the Silver Bulletin forecast already do. They essentially smooth out the kinks in noisy survey data by making inferences based on past voting patterns or national polls or surveys of other states. But you don’t actually know what these voters think unless you’re reaching them directly. If there’s a shift in opinion among this subgroup, you’re not going to detect it. So if I were running a campaign, I’d invest more in going the extra mile to find a representative sample of those voters. And then I’d hire some smart quants — or Claude? — to figure out the implications for campaign strategy based on proprietary data that my competitors didn’t have access to. -Nate Silver Are these models any good? If synthetic surveys are just a new type of model, the next obvious question is whether the models are at least accurate. The answer very much depends on who you ask. On one end of the spectrum, you have the maximalist argument that synthetic sampling is more accurate than actual polls. “It’s an incredibly challenging problem to go to someone and say ‘hey, we’re going to be more accurate at predicting human behavior than you, even when you talk to your customers directly’,” Koh recently told CNBC. In his view, synthetic sampling isn’t a saw to polling’s hammer, it’s “magic.” There’s certainly evidence that synthetic samples can replicate certain survey toplines. But if Aaru does have any examples of their approach outperforming the polls, they’re keeping those to themselves.5 Aaru’s 2024 election model, for example, had Kamala Harris leading in Michigan, Nevada, Pennsylvania, and Wisconsin on November 4th. And although they’ve since taken down their forecast page, they gave Harris a 50.5 percent chance of winning the race on November 2nd.6 After the election, Fink told Semafor he was happy enough with those results because they were “within margin of error,” a term that is completely meaningless when applied to a “sample” of AI agents. And of course, Aaru says their models have improved since 2024, so supposedly now they’d be more accurate than the polls? Still, their stronger argument is on cost: “We are significantly faster and cheaper than traditional polling, and still more accurate,” said Fink. The first two claims are undeniably true, but the third brings us to the opposite end of the spectrum. Both Jackson and Hagner are skeptical that these models are reliable for anything beyond replicating common survey toplines. “I just […] don’t think the machines are what we want when we’re looking for nuanced views. My example on this is people in Arizona and Nevada in 2024 who voted for Trump and voted for expanding abortion in their states on ballot initiatives,” said Jackson. Hagner identified another issue. Maybe the synthetic respondents, like sycophantic LLMs, are inhuman in one important way: they’re too nice. “The reports that have come through at the meetings that I’ve been at are that the early experiments on this, they cannot get respondents to be as racist or sexist or, frankly, as negative as human respondents,” he said. Academic research mostly agrees on this point. While there are some papers that show promising results when using LLMs to replicate polling data, most show that LLMs suffer from various quirks like producing too few “don’t know” responses and can seriously overpredict the favorability of politicians like Donald Trump and Kamala Harris. They also seem to struggle with too little variation between demographic subgroups, so the difference in predicted opinion between Democrats and Republicans, for example, is too small. When I asked Warner about these studies, his response to these papers was that just because academics can’t get synthetic sampling to work doesn’t mean that the technique doesn’t work in general. “Actually, the argument is, okay, yours does not [work]. That does not mean […] for this complex set of machinery, which uses a lot of investment, a lot of time, a lot of money, you can’t get it to work.” Cards on the table, I’m somewhat sympathetic to this argument because academics aren’t exactly great at making election forecasts. Usually, the people with skin in the game are the most accurate. Warner’s argument is that the approach Electric Twin takes — which includes, for example, making multiple predictions for each synthetic respondent using different models and prompts and subsequently averaging those to get a final prediction in a sort of ensemble forecast — produces better results than the simpler academic models. Warner shared a comparison between his method and the method from a recent academic paper with me, and Electric Twin was indeed able to get more accurate replication. But even still, he acknowledged that synthetic sampling “is not a crystal ball.” “If you asked me, do I think using other data sources will be more accurate than asking somebody who they will vote for, I would probably say no. But if you asked me ‘would your system be useful for our turnout modeling today?’ I would say yes.” For better or worse, it looks like the method is already getting more popular in the market research world. Most of the clients Aaru touts these days are businesses like EY and McDonald’s. And AI will probably begin to pop up in other parts of the political polling process. Pollsters are already using it to code open-ended survey responses, and some firms, like YouGov, are testing using LLMs to ask survey respondents questions. More worryingly, one danger to actual polls is that AI agents can be used to infiltrate online surveys. Most online polls use various checks to prevent that from happening, but there’s conflicting evidence on how effective those filters are and how prevalent AI agents currently are in online panels. If those agents ever become impossible to detect, it might spell the end of online polling, but the solution isn’t to replace all of your respondents with ChatGPT. Silver Bulletin is a reader-supported publication. To receive new posts and support our work, consider becoming a subscriber. Subscribe 1 That particular poll obviously doesn’t meet Silver Bulletin standards for aggregation. But we exclude all Public Sentiment Institute polls from our averages because we classify them as an amateur polling firm. 2 You could argue that Fink meant the next presidential election, but (a) I’m also confident we’ll still have real polls in 2028 and (b) in that case he should have asked an LLM to define “general election.” 3 Quick caveat: that’s reporting from a Democratic pollster. It’s possible that Republicans are more willing to use AI in political campaigns. 4 Indeed, Silver Bulletin does not include “polls” produced by MRP in our forecasts or averages, and we think it’s extremely misleading when their practitioners describe them in a way that suggests original data had been collected among a large number of states or Congressional districts. 5 A recent report from Aaru and EY did show two examples of a synthetic estimate being closer than a survey to a real-world benchmark — but I’d take those findings with a grain of salt because the report reads more like an ad and didn’t involve any sort of prediction being made ahead of time. 6 For comparison, our odds for Harris on the same day were 48.2 percent.
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Nickelodeon Extreme Tennis Next announced for Nintendo Switch
Today, Gameloft unveiled Nickelodeon Extreme Tennis Next for Nintendo Switch. The game is launching on May 28, 2026. Nickelodeon Extreme Tennis is a fast-paced arcade tennis game featuring popular characters from SpongeBob, Avatar, Teenage Mutant Ninja Turtles, and more. Expect character customization, a story mode, split-screen multiplayer, and more. Here’s an official overview: Become your favorite Nickelodeon character, like SpongeBob...
When I get abused just for dancing, it shows how far hatred of politicians has gone
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Overwatch Reveals The Anran Redesign Fans Begged For
The character looked more like Kiriko and Juno than her brother Wuyang
New Yorker profile of OpenAI CEO Sam Altman raises character questions
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'Nathan Drake Horror Game' Changes Main Character After Online Chatter
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Video: Pokémon Champions 'World Overview' Trailer Released
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Next Level Games wanted Link in Mario Strikers Charged
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Grand Theft Auto 6 publisher Take-Two have seemingly laid off their head of AI and several of the department's staffers
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Album Review: 6WA by BigXthaPlug & 600 Entertainment
BigXthaPlug spent eight months in Nashville making a country-rap album that debuted at No. 7 on the Billboard 200, put “All the Way” with Bailey Zimmerman at No. 4 on the Hot 100, got him a Rolling Stone cover, and filled arenas with Jelly Roll. And then he came back to Dallas, rounded up four of his signees, and made a gangsta-rap record with N.W.A’s Straight Outta Compton on the cover. 6WA is the second group release from 600 Entertainment, named after the 600 block of Meadowridge Street in Ferris, Texas, where BigX and his people grew up. The whole thing is loaded with West Coast samples. From N.W.A.’s “8Ball,” Eazy-E’s “Real Muthaphuckkin G’s” and “Boyz-N-The-Hood,” Ice-T’s “6 in the Mornin’,” Snoop Dogg’s “Nuthin’ but a ‘G’ Thang” and more. BigX is staking his name on the lineup he built—Rosama, MurdaGang PB, Yung Hood, KevanGotBandz, KaineMusic—and claiming a lineage from 1,400 miles away while insisting Dallas is its own thing. A million dollars in cash, split and handed straight to his mother. That’s the first place BigX goes on “From the Bottom.” He’d probably still be in the streets if he didn’t have his son and daughter. He only started rapping to make life better for Carter. Couldn’t start his car back then, now people get starstruck at Starbucks, and he throws the whole field away in one sentence: “How you think we competin’? You on the same bag, I just made me some millions off country.” Goyard bags off a Nashville payday, and he wants you to know exactly how far he’s come from everybody else. “Safe to Say” does something similar but looser. It’s a straight Ice Cube “It Was a Good Day” flip, and BigX nails it. Wakes up, checks both phones, nobody’s locked up, kid accounts look good. Gets pulled over, only catches a warning. Pulls up on the squad to liquor, ladies, and haze. Rosama takes the second verse and matches him. Wakes up to his girl cleaning his cuticles, twins playing peekaboo, pays off his car, calls a cousin, sees the opps and they don’t trip. Lawyer calls, he beat his case. Rosama is the strongest voice in the 600 camp after BigX, and “Life of a Gangster” is why. Third person, riding low, blacked-out windows, snub-nose revolver. A character who chose sticking people up over selling dope. “Quick eraser like a number-two pencil.” He never breaks character, and his delivery drops lower and slower than anything he does on the group cuts, like he’s telling you something at a cookout that he probably shouldn’t. Then on “Long Live Fre$h” he’s a completely different rapper. “Short-bus diamonds, these bitches retarded,” wide-body Durango he can’t even park. That kind of range matters on a group record. MurdaGang PB’s best verse is on the title track. Feds at his door at 6 AM, cameras busted, flushing dope, ram truck putting everybody on the floor. Yung Hood on “The Hottest” just lays out four reasons to keep hustling. Who wants to be broke, women cost money, you need bail, and home has to be straight. It’s funnier and more honest than most rappers get when they’re trying to explain why they sell drugs. KevanGotBandz on “Ain’t Never Slowin’ Down” talks about his father getting caught on the dope while he’s sitting on $300K somewhere in the hills, which is a specific kind of guilt that doesn’t usually make it onto crew tapes. KaineMusic, the newest signee, takes the back half of “Who Dunnit” and introduces herself in third person—“Took flight just to show these hoes how to perform”—but it’s too short to know if she can hold a full song. The flex tracks fill the middle of the LP and mostly run together. “I Go” is Rosama and PB trading brands, guns, and food punchlines. Rosama’s “anemic, my iron tucked low in this shirt” is a slick gun bar, PB fires back with “.223 with a clip ‘bout as big as a toddler” and “I go Burger King, stay with that whopper.” Quick, funny sometimes, but it’s all shopping lists. “Dopeman” is a chant. “6ixer Party” brings Snoop Dogg, who does exactly what you’d expect Snoop Dogg to do. BigX contributes the night’s wildest overshare: “She say she brought a friend too, well, I’m tryna put sausage on her dental.” These songs move fast and don’t overstay, but three or four of them could trade verses and nobody would catch it. Midway through, The D.O.C. shows up for a spoken-word interlude. Tracy Curry. West Dallas native, former N.W.A affiliate, co-writer on a lot of the records getting sampled on this very album. He thanks BigX for the tribute and then gets direct: “This your time, this DFW time. You need to do it like we do it down here.” Leave bread crumbs so everybody behind you can eat. Keep God in your life. It’s fatherly and generous, and it does raise the question of whether 6WA follows that advice. The album borrows heavy. The cover art, the Eazy-E samples, “Amerikkka’s Most Wanted” opening with a direct “Boyz-N-The-Hood” lift, Yung Hood rapping “Flag on my left side, Crip until I die.” But the stuff that actually stays with you is Dallas. BigX talking about Pleasant Grove, Rosama calling himself a country boy, PB recounting a raid that could’ve been last Tuesday. The record smells most like itself when it smells like Ferris, Texas, and least like Compton. BigX on “The Hottest” says his father was the first person he knew who had chickens. Not the way rappers usually wave at the drug trade. He means his actual father, his actual family. On “600 Degrees,” Rosama compares his chopper’s stutter to a speech disorder, PB claims he still has the block on his back even after leaving the city. BigX closes that one saying he used to spin and smack, and now the plaques are platinum. Thirty-two minutes was right for this. Nobody overstays, Tony Coles and Rance and Charley Cooks keep the production punchy, and BigX gives his signees real room instead of crowding every song. 6WA doesn’t reinvent anything. Five rappers, good beats, short clock. Most of what they say you’ve heard before. Some of it—the million to his mother, the cuticles and peekaboo, the four reasons to hustle—you won’t forget. Solid (★★★½☆) Favorite Track(s): “Safe to Say,” “From the Bottom,” “The Hottest” Subscribe
First Jam Kuradoberi match footage released for Guilty Gear Strive Version 2.00
Guilty Gear Strive is less than a week away from it's huge Version 2.00 update, and now we can get a taste of what that's going to look like with the newest character.Arc System Works and ...
Gemma 4 and what makes an open model succeed
Having written a lot of model release blog posts, there’s something much harder about reviewing open models when they drop relative to closed models, especially in 2026. In recent years, there were so few open models, so when Llama 3 was released most people were still doing research on Llama 2 and super happy to get an update. When Qwen 3 was released, the Llama 4 fiasco had just gone down, and a whole research community was emerging to study RL on Qwen 2.5 — it was a no brainer to upgrade. Today, when an open model releases, it’s competing with Qwen 3.5, Kimi K2.5, GLM 5, MiniMax M2.5, GPT-OSS, Arcee Large, Nemotron 3, Olmo 3, and others. The space is populated, but still feels full of hidden opportunity. The potential of open models feels like a dark matter, a potential we know is huge, but few clear recipes and examples for how to unlock it are out there. Agentic AI, OpenClaw, and everything brewing in that space is going to spur mass experimentation in open models to complement the likes of Claude and Codex, not replace them. Especially with open models, the benchmarks at release are an extremely incomplete story. In some ways this is exciting, as new open models have a much higher variance and ability to surprise, but it also points at some structural reasons that make building businesses and great AI experiences around open models harder than the closed alternatives. When a new Claude Opus or GPT drops, spending a few hours with them in my agentic workflows is genuinely a good vibe test. For open models, putting them through this test is a category error. Something else to be said about open models in the era of agents is that they get out of the debate of integration, harnesses, and tools and let us see close to the ground on what exactly is the ability of just a model. Of course, we can’t test some things like search abilities without some tool, but being able to measure exactly the pace of progress of the model alone is a welcome simplification to a systematically opaque AI space. Share The list of factors I’d use to assess a new open-weight model I’m considering investing in includes: Model performance (and size) — how this model performs on benchmarks I care about and how it compares to other models of a similar size. Country of origin — some businesses care deeply about provenance, and if a model was built in China or not. Model license — if a model needs legal approval for use, uptake will be slower at mid-sized and large companies. Tooling at release — many models release with half-broken, or at least substantially slower, implementations in popular software like vLLM, Transformers, SGLANG, etc due to pushing the envelope of architectures or tools. Model fine-tunability — how easy or hard it is to modify the given model to your use-case when you actually try and use it. The core problem is that some of these are immediately available at release, e.g. general performance, license, origin, etc. but others such as tooling take day(s) to week(s) to stabilize, and others are open research questions — with no group systematically monitoring fine-tunability. In the early era of open models, the days of Llama 2 or 3 and Qwen pre v3.5, the architectures were fairly simple and the models tended to work out of the box. Some of this was due to the extremely hard work of the Llama, Qwen, Mistral, etc. developer teams. Some is due to the new models being genuinely harder to work with. When it comes to something like Qwen 3.5 or Nemotron 3, with hybrid models (either gated delta net or mamba layers), the tooling is very rough at release. Things you would expect to “just work” often don’t. I’ve been following this area closely since we released Olmo Hybrid with a similar architecture, and Qwen 3.5 is just starting to work well in the various open-source tools that need to all play nice together for RL research. That’s 1.5 months after the release date! This is just to start really investing more into understanding the behavior of the models. Of course, others started working on these models sooner by investing more engineering resources or relying on partially closed software. The fully open and distributed ecosystem takes a long time to get going on some new models. All of this is lead-in for the most important question for open models — how easy is it to adapt to specific use-cases? This is a different problem for different model sizes. Large MoE open-weight models may be used by entities like Cursor who need complex capabilities in their domain, e.g. Composer 2 trained on Kimi K2.5. Other applications can be built on much smaller models, such as Chroma’s Context-1 model for agentic search, built on GPT-OSS 20B. The question of “which models are fine-tunable” is largely background knowledge known by engineers across the industry. There should be a thriving research area here to support the open ecosystem model. The first step is to understand characteristics of different base and post-trained models to understand what they look like. The second step is to tune pretraining recipes for open models so they’re more flexible. Interconnects AI is a reader-supported publication. Consider becoming a subscriber. Subscribe For The ATOM Project and other Interconnects endeavors, we’ve put in substantial effort to measuring adoption trends in the open ecosystem. Everything takes a long time to unfold after a model is first publicly available — and adaptability is why. What we know for sure now, when Qwen has been going from strength to strength with its releases, is that technical staff across the industry has gotten comfortable working with Qwen models. Countless research methods and datasets were made to work with Qwen. It’ll take patience for any other model family to get to this point — a patience I’m not sure many open model builders have. This takes us to Gemma 4, Google’s latest open models. Gemma 3 was released more than a year ago, in March of 2025, and is a bit underrated. Gemma 4 comes in 4 sizes for now, with a bigger, MoE model of over 100B total parameters rumored but not released yet. The models we have today come in sizes of ~5B dense, 8B dense, 26B total 4B active MoE, and 31B dense. I’m most excited that they’re finally adopting a standard Apache 2.0 open source license. This’ll massively boost adoption. The standard of better licenses for strong open-weight LLMs was set by mostly Chinese open model labs in the last 1-2 years, and now U.S. companies are following suit. I will personally be so happy if the horrible Llama licenses and Gemma terms of service were an ~18-month transient dynamic of the industry being nervous about releasing strong open models. The Gemma 4 scores look very solid, the small models have incredible benchmark scores (especially in general domains like LMArena) and the 31B model rivals the recent Qwen 3.5 27B, which is the leading member of that class. The ~30B size range is an important one, as it’s accessible both to researchers and to enterprises looking to deploy the model in real use-cases. Where the 7B model scale is the default for tinkering and research, a 30B model is the default for seeing if an open model can unlock substantial value in your specific workflow — a good mix of intelligence, low price, tractability for downstream training, etc. This takes us back to the above adoption criteria I mentioned for open models and the bigger question — do I think Gemma 4 will be an overwhelming success? Previous Gemma models have been plagued by tooling issues and poorer performance when being finetuned. Gemma 4’s success is going to be entirely determined by ease of use, to a point where a 5-10% swing on benchmarks wouldn’t matter at all. It’s strong enough, small enough, with the right license, and from the U.S., so many companies are going to slot it in. I’m cautiously optimistic that Gemma 4 is going to work better here. Winds are shifting for open models built in America. We saw GPT-OSS go through a bumpy launch to become an overwhelming success. There’s a collective energy around the likes of Reflection, Arcee, Nemotron, Gemma, Olmo, and peers that show substantial demand for building new stacks around open models. There’s capital to be spent on AI stacks across the economy by those who want more ownership of everything, including the model. After launching The ATOM Project 240 days ago, the conversation is shifting into the next stage. Summer of 2025 was a crisis moment where the U.S. AI scene realized it can’t wait and figure out open models after building AGI. The two markets will capture different areas and proceed in parallel. Now that more companies in the U.S. are releasing strong models, we need to improve the ecosystem so that these models are easy to use, understand, and build value around. It’s the hard work to build another inflection point in these adoption plots I’ve been updating consistently, but that’s the work to be done. Join me in it. More data coming soon! Here’s a sneak peek:
Legal docs reveal Miyamoto originally saw Donkey Kong as "a human in a gorilla costume," disclose other names considered for the game/character
Nightmare unlocked
Street Fighter 6 DLC character Ingrid teaser trailer
Capcom has released the teaser trailer for Street Fighter 6 downloadable content character Ingrid, who is due out in late spring.
Slay The Spire 2 Dev Confirms New Character, Modes Are Coming
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US Patent Office rejects Nintendo's 'summon subcharacter and let it fight' patent
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Watch new MacBook Neo ads starring Little Finder Guy
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Nintendo's 'Summon Character To Fight' Patent Rejected By US Patent Office
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Scientists found a baby dinosaur hidden in rock and it is surprisingly cute
Scientists uncovered a rare baby dinosaur in South Korea and named it Doolysaurus after a famous cartoon character. Using cutting-edge CT scans, they discovered hidden bones—including a skull—inside rock much faster than traditional methods. The young dinosaur, possibly fluffy and lamb-like, even had stomach stones that reveal it ate a mix of plants and small animals. The discovery suggests many more dinosaurs may still be hidden in Korea’s rocks.
USPTO Rejects Nintendo's Controversial 'Summon Character and Let It Fight' Pokémon Patent in Non-Final Ruling, as Palworld Legal Battle Rumbles On
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Best girl Azula gets new gameplay details revealed with two distinct movesets based on her mental state in Avatar Legends
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Crimson Desert Voice Actor Had To Fight For His Character’s Story
‘It’s very, very hard to play 150 hours with somebody who doesn’t give anything away ever,’ said actor Alec Newman
GACHIAKUTA: The Game ‘Combat’ trailers – Enjin, Riyo, Rudo, and Zanka
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Hingham Schools Eye Business Curriculum Expansion as Class Size Concerns Mount
HINGHAM - March 23, 2026 - The Hingham School Committee moved to modernize its high school offerings Monday night, reviewing a comprehensive plan to expand the “small but mighty” Business Department while simultaneously grappling with data that places Hingham as an outlier in elementary class sizes. Director of Social Studies Andy Hoey presented a two-year program review that highlighted the department’s success in community partnerships but warned that high student demand is testing current staffing limits. Meanwhile, committee Chair Jen Benham presented independent research showing Hingham is the only benchmark district with second-grade classes hitting a 25-student cap, sparking a directive for the Policy Subcommittee to review class-size standards. Editors note: South Shore News is going paid in April, subscribe now to make sure you don’t miss a story. Reach out for group or organizational pricing. Subscribe The Full Story The meeting opened with a look into the future of Hingham High School’s (HHS) curriculum. Andy Hoey, who oversees the Business Department, presented the first formal program review for the department since 2009. [15:09] Hoey characterized the department as a vital elective hub that currently serves between 14% and 27% of the HHS student body in any given year. [31:31] “We are very proud of our business department here at Hingham High School... while we’re very proud of it, we are always striving to make improvements and enhancements.” [15:55] — Andy Hoey, Director of Social Studies A key highlight of the presentation was the announcement of a new AP Business with Personal Finance course launching next year, pending enrollment. [20:08] The review team found that while the program is “well-aligned” to national standards, it remains a high-school-only offering. Hoey outlined an action plan to explore “vertical articulation,” potentially introducing business or financial literacy units at the middle school level to fill a “gap” identified between fifth and eighth grade. [41:48] However, the department faces “smoke and mirrors” regarding student GPA, according to Hoey. Currently, most business courses are “unleveled” and do not count toward a student’s GPA, which survey data suggests may deter some students from enrolling. [28:15] The committee discussed the possibility of offering Honors or College Prep (CP) credit for advanced courses, such as investing or marketing, to better reflect their academic rigor. [38:27] The discussion took a sharp turn toward elementary education during an enrollment update. Superintendent Dr. Katie Roberts noted a net gain of four students mid-year, but it was Jen Benham’s “rabbit hole” data analysis that caught the committee’s attention. [50:35] Benham researched 13 benchmark towns—representing 34 elementary schools—and found that Hingham was the only district with a second-grade section reaching 25 students this year. [51:36] Benham’s findings suggested that while many districts lack formal class-size policies, Hingham’s current cap of 25 for second grade may be too high. “I think if we could at least have 23 at a cap for grade two,” Benham suggested, noting the importance of that grade level for literacy development. [53:09], [54:55] Dr. Roberts cautioned that smaller classes require more staff, which is a significant hurdle following a budget season where nine general education positions were cut across the district. [55:56] The committee also finalized the 2025 Town Report, which was updated to be more “student-centered” and highlight staff early in the document. [11:12] Additionally, a series of food service policies were approved to align with Massachusetts’ universal free school meal mandate, including new protocols for meal modifications due to allergies or religious needs. [59:23] Share Why It Matters The meeting underscored a tension between Hingham’s desire to offer elite, specialized programming and the foundational pressure of class sizes. The expansion of the Business Department—including potential Microsoft certifications and AP courses—aims to prepare students for a “real world” where credit scores and financial literacy are paramount. [46:20] However, the revelation that Hingham’s second-grade classes are larger than those in all neighboring benchmark towns suggests a potential strain on early education that could impact long-term student performance if not addressed by the Policy Subcommittee. Official Minutes & Data Key Motions & Votes Motion: To approve the Hingham Public Schools 2025 Town Report. [13:16] Vote: Unanimous (7-0) ([01:13:28]) Motion: To approve the Memorandum of Agreement (MOA) for summer counselor work regarding course placement. [57:33] Vote: Unanimous (7-0) ([57:50]) Motion: To approve Policy EFBA (School Food and Nutrition/Meal Modifications). [01:00:32] Vote: Unanimous (7-0) ([01:00:44]) Motion: To approve Policy EFC (Universal Free School Meals). [01:00:54] Vote: Unanimous (7-0) ([01:01:07]) Public Comment No members of the public spoke during the meeting or via the remote link. [01:02:30] What’s Next The Policy Subcommittee will take up the review of elementary class-size caps over the next year to determine if the Grade 2 limit should be lowered from 25 to 23. [52:18] The Business Department will monitor enrollment for the new AP Business course and continue exploring dual-enrollment partnerships with Quincy College. [38:13] Source Video: Harbor Media South Shore News is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe
Invincible VS adds Conquest; DLC characters Universa and the Immortal announced
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We disagreed on politics. We agreed on wine. That was enough.
At the Virginia Governor’s Cup Gala in Richmond earlier this month, a very dapper gentleman approached me and introduced himself. In his light-colored suit and bowtie, he looked very Southern in a classical sense, the sort of Virginia Gentleman you used to see south of the Rappahannock as recently as my college days. “I’m a longtime reader and fan of your writing, if not your politics,” he said. His comment was the proverbial iron fist in a velvet glove, simultaneously conveying praise and disapproval while establishing boundaries. Man, I wish we still discoursed like this instead of shouting bromides and insults to try and “own” our opponents with a funny meme and a furrowed brow. Subscribe “Well, we’ll always have wine to share together,” I said, and thanked him for his kind words. We clinked glasses, exchanged pleasantries about the delicious gold medal-winning wines being poured that evening, and went our separate ways. Our exchange reminded me that more unites us than divides us. Wine brings people together to share a meal and a few hours of joy despite our differences.1 That’s why I refer to the wine community — including readers and consumers — rather than the wine industry. Together, we are so much more than production, distribution and sales statistics. A few minutes later the evening’s awards ceremony began. Applause grew as the 12 winemakers who made the top-scoring wines for the Governor’s Case took the stage, including a loud cheer for Jonathan Wheeler of Trump Winery and his 2018 Blanc de Noir sparkling wine. All the winemakers on stage had reason to be proud, Wheeler perhaps more so. Trump Winery was the only winery to win six gold medals in the competition this year. (Wineries are limited to six entries.) Two of Wheeler’s ciders also won gold medals in a separate competition. When you cover the labels and take the sour taste of politics off your palate, the wines are pretty darn good.2 Then Gov. Abigail Spanberger, newly elected Democrat and Virginia’s first female governor, was introduced to great applause to announce which of the 12 wines had won the Governor’s Cup. She spoke for a few minutes about the importance of wine to Virginia’s economy and tourism and the international acclaim Virginia wine has received. Just two weeks earlier, she gave the Democrats’ response to Trump’s State of the Union speech, but this night wasn’t about politics. That didn’t stop several people in the crowd from speculating on the irony should she have to present the trophy to Trump Winery. In the end, Valley Road Vineyards was displayed on the screen behind Spanberger as the winning winery. Blue Bee Cidery in Richmond took top honors for that category. The crowd cheered a female governor presenting the state’s highest trophy to a female winemaker and then resumed the evening’s festivities, united by their mutual love of wine. A whiff of politics couldn’t dim the cheer of celebration and a community united by its love of wine. In Memoriam: Michel Rolland The global wine community lost a giant March 20, with the passing of Michel Rolland. He was 78. Rolland was the original “flying winemaker,” a globe-trotting consultant who helped Bordeaux regain its mojo in the 1970s and then shaped the rise of Napa Valley cult Cabernet as consultant to Simi, Harlan, Newton, Screaming Eagle, Araujo, Dalle Valle and other wineries. He was instrumental in Argentina’s rise to prominence and even had his own winery, Clos de los Siete, in a partnership with other wine families. Rolland’s career arc paralleled that of Robert Parker, the world’s most influential critic. Parker championed many of the wines Rolland consulted on, helping build his reputation and demand for his services. It also made him a target for Parker’s critics. As W. Blake Gray wrote on Wine-Searcher in his excellent tribute to Rolland: Rolland created the type of wines Parker loved: rich body, plenty of fruit, soft tannins. He sometimes faced the accusation of creating a generic international style of red wine, where the great wines he made in Argentina were indistinguishable from the great wines he made in France. Rolland chafed at that critique, as did many of his fans. He was credited with championing green harvesting and leaf pulling, as well as careful selection of grapes in the winery, practices we nearly universally think of today for high-quality winemaking. “Michel was an incredible innovator who changed how wine was made and how grapes were grown,” Napa Valley winemaker Aaron Pott wrote on Facebook. “His work has transformed the wine trade. He created new ways of looking at wine, tasting wine, evaluating ripeness and quality. … This was not just a man with a ‘style’ that he imposed on vineyards but a man that understood how to make great wine from great sites.” Rolland started his consulting company in 1973 in Libourne, in Bordeaux, with his wife, Dany. Both had graduated the year before from Bordeaux’s Institute d’Oenologie. The couple sold their majority share in the business in 2020, according to Wine Spectator. Over his career, Rolland reportedly worked with more than 100 wineries in 20 countries. He even made it to Virginia, where he consulted for Kluge Estate in the mid-2000s. (Kluge Estate is now Trump Winery.) Reader feedback, please! Last week, I did my first WineLine Live! with Dr. Laura Catena of Catena Zapata winery in Argentina. We enjoyed a fascinating discussion about her efforts to preserve the genetic heritage of old vineyards in Mendoza. I conceived of WineLine Live! for paid subscribers, as a thank you for your financial support. And while only a few people joined live, the video now has more views than I have paid subscribers, so I guess that’s pretty good. Even so, I’m considering opening future installments to anyone on Substack to reach a broader audience. So my questions to you: Should these be public? And what format do you prefer? Live gives a chat feature with the potential for viewers to interact with me and the guest, while a video post would just be that. Another alternative is a podcast, which would just be audio, without video of my chins. Please let me know in the comments. Leave a comment In the Glass A few wines I’ve enjoyed recently: Bonny Doon Vineyard Take Me to Your Liter, Le Cigare Volant, Red Wine of the Earth. 2023, Central Coast, CA. Blend of Grenache, Syrah Cinsaut and Petite Sirah. Delightful wine with expressive red fruit flavors, casual drinking. Doon lovers of a certain age will remember Randall Grahm’s Big House Red; this is more in that style than his original Le Cigare Volant, modeled after Chateauneuf du Pape. The liter bottle makes it an even better value. I see this online at about $15. Great value. Albert Bichot Bourgogne Pinot Noir Origines 2023. 13% - Textbook pinot noir and an excellent, affordable entry (regional) Burgundy. Wine Enthusiast Top 100 Wines of 2025. $24 at Total Wine & More. Loma Larga Pinot Noir 2021 “Coastal Cool Climate Wine”, Valle de Casablanca, Chile. An older sample, showing beautifully. Spicy and fruit forward. I’m seeing widely varied pricing online, from $18-$32. At the lower end, it’s a terrific value. 13.5% Dr. Loosen Riesling Dry 2016, Mosel, Germany. Found this “in the stack.” And it stacked up well, shedding some of its youthful acidity for opulent Riesling character, including a hint of the mineral oil older Riesling often features. A great value, as I’m seeing it as low as $14 online. 12% abv. Red Tail Ridge Blau Franc Blend 2024, Sans Oak, Finger Lakes. 13.4% abv. The name is a neat portmanteau of Blaufrankisch and Cabernet Franc, thus Blau Franc. The blend is 50-50, no oak involved. The Blau dominates on the palate, with the spicy caraway seed (think New York deli rye bread). The Franc adds body. The result is juicy, energetic and joyful. Sokol Blosser Estate Rosé of Pinot Noir 2025, Dundee Hills, Willamette Valley, Oregon. This first rosé of 2025 was a welcome respite to our cold, snowy winter here in the Mid-Atlantic. Oh man, I needed this! Bright and energetic, exuberant even, it perks up the mood and goes down fast. 13%. Certified B Corp. Ingredient and nutrition labeling, and in a modest way that doesn’t occupy a lot of label space. (Since it’s not required, presumably there are no minimum font size requirements.) More wineries should follow this example. Dave McIntyre's WineLine is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe Thanks for reading Dave McIntyre's WineLine! This post is public so feel free to share it. Share 1 Some restraint may be required. 2 Especially the bubblies.
“Moana” in live-action: See all the animated characters coming to life in new movie
Moana, Maui, Te Kā... the gang's all here.
Guilty Gear: Strive version 2.00 update, Season 5 DLC characters Jam Kuradoberi and Robo=Ky announced
Arc System Works has announced the version 2.00 update for fighting game Guilty Gear: Strive, which will launch on April 9 alongside Season 5 downloadable content character Jam Kuradoberi.
Nicholas Brendon, a star of ‘Buffy the Vampire Slayer,’ is dead at 54
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iOS 26.4: Top 10 New Features Coming to Your iPhone
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Crimson Desert developers "doing our utmost" to respond to its various launch issues, as game still passes huge one-day sales milestone
Crimson Desert - the ambitious single player RPG spin-off from Pearl Abyss - has sold through 2m copies following its release.
New dispute emerges around Subnautica 2’s early access release
Lawyers for the ousted—and now partially reinstated—leadership team of Unknown Worlds, the studio behind Subnautica 2, are crying foul over news that the game will be released into early access in May. The release announcement earlier this week was made improperly, potentially “damaging the game and sowing additional confusion among the Subnautica community,” the lawyers said in a letter sent on Tuesday to Vice Chancellor Lori Will of Delaware’s Court of Chancery. In their letter, the lawyers also floated the idea of asking Will to find Krafton in contempt of the court’s ruling. The letter was sent just one day after Will’s bombshell ruling that publisher Krafton had breached its contract with Unknown Worlds’ executive team, when it fired them last June. The new issue isn’t necessarily the May early access timeframe, but how the news was announced. The letter and Krafton’s response have not been previously reported. A quick recap of prior events: Subnautica 2 is an unreleased, underwater survival adventure and the most-wishlisted game on Steam. Last year, longtime Unknown Worlds CEO Ted Gill, along with studio co-founders Charlie Cleveland and Max McGuire, were fired by Krafton. They swiftly sued, saying the publisher had terminated them to avoid paying out up to $250 million in potential performance-based bonuses. The studio leaders had hoped to earn that with an early access release of the game, which Krafton had blocked. The publisher argued in court that Subnautica 2 wasn’t ready, which the ousted execs disputed. On Monday, Will ruled that Krafton had violated its contract, firing the execs to avoid the performance payouts, and that it had to reinstate Gill and give him full authority over any early access release for Subnautica 2. On Tuesday, IGN reported on a new memo issued that day to Unknown Worlds staff by Steve Papoutsis, the executive Krafton had put in charge of Unknown Worlds after the 2025 firings. In the note, Papoutsis said that Subnautica 2 had passed a key development milestone “last week” and that he and Krafton had determined the game “is ready for Early Access release in May.” This news appeared to catch the lawyers for Gill, Cleveland and McGuire by surprise. On Tuesday night, they sent a letter to Will expressing “serious concerns” about whether it would be possible to forge an agreement with Krafton consistent with the judge’s order. Papoutsis’ memo was a problem, they wrote. He didn’t have the authority to declare anything about Subnautica 2’s release. As of 9am ET on Monday, March 16, the effective date of Will’s order, Papoutsis wasn’t CEO of Unknown Worlds. Gill was. And, per Will’s order, only Gill could make Subnautica 2 release decisions. They continued: Krafton self-servingly announced the launch without any regard to its impact on the game, the team, or the community—let alone this Court’s Opinion. Announcing the release of a game is momentous, and it is typically accompanied by significant marketing activity, fanfare, and community coordination. And most importantly, the announcement is carefully designed to maximize excitement for the game. That entire process was supposed to be driven by Mr. Gill. However, in defiance of the Court’s Opinion, Krafton has now taken that away, further damaging the game and sowing additional confusion among the Subnautica community. The lawyers speculated that Krafton had “intentionally leaked” Papoutsis’ memo and then issued an official statement to confirm the leak. Game File is a reader-supported publication. My reporting is only possible through support from readers like you. To support my work, consider becoming a free or paid subscriber. Subscribe On Wednesday, lawyers for Krafton defended their client in their own letter to vice chancellor Will, saying nothing they did violated her order nor showed contempt: Papoutsis’s message was simply celebrating the UW employees’ efforts toward a past event: Krafton’s pre-Opinion determination that Subnautica 2 was ready for Early Access release. There was nothing improper about conveying the results of the milestone review or thanking the development team for their dedication and talent. They added that Gill could still make his own call about Subnautica 2’s release: In his role as CEO, Gill will be able to assess independently his views on the state of Subnautica 2 and the appropriate release schedule; nothing in Papoutsis’s message alters Gill’s authority or discretion. Vice chancellor Will has not responded to the letters and doesn’t necessarily have to. Both parties were previously ordered by Will to confer this week and submit a proposed judgment consistent with her ruling. The letter from Gill’s attorney’s this week doesn’t indicate whether he would or would not support a May release for Subnautica 2. But it could limit his options. And, if Gill’s lawyers are right, the lack of marketing fanfare around the leak of the May date could dull the launch of the game. Any harm to Subnautica 2’s launch is an extra sensitive issue given the context of the legal dispute: millions of dollars of payouts are on the line, tethered to the scale of the game’s initial performance. In her ruling on Monday, Will noted that there was obvious “bad blood” between Gill’s side and Krafton but that the two would need to work together: “They can—and must—act in good faith to navigate their remaining contractual relationship.” Item 2: A new kind of couch co-op game A highlight of GDC each year is the Alt.Ctrl showcase that features games played with extremely experimental controllers. Perusing this year’s offerings last Friday, I found a game controlled with giant scissors, another with big toothbrushes and one that amounted to dumpster diving. My favorite was Pivot, a co-op game about collectively maneuvering a couch. It was developed by students at the University of Utah’s masters of arts and engineering games program. Players lift and tilt the physical couch in order to control the position of a virtual one. That virtual one is moving through an obstacle course on-screen, while being pursued by a giant skull. Developer Nishant Verma told me at GDC that the couch is made of styrofoam (this became more evident as I watched!) and that the name was a riff on an episode of the sitcom Friends. Item 3: In brief… 🚫 Ubisoft is laying off more than 100 workers at its Red Storm studio, as the North Carolina location known for decades for its Tom Clancy games, ceases in-house game development, VGC reports. 👀 On Monday, Nvidia’s revealed its DLSS 5 AI-driven graphics technology that purports to improve game graphics… and it has been roasted about it by the media and the online gaming public for the remainder of the week. The tech changed the faces of characters in footage from Resident Evil Requiem, Hogwarts Legacy and EA Sports FC, drawing accusations of giving carefully art-directed games the generic look of AI “slop.” Nvidia CEO Jensen Huang had said on Monday that “DLSS 5 is the GPT moment for graphics—blending handcrafted rendering with generative AI to deliver a dramatic leap in visual realism while preserving the control artists need for creative expression.” By mid-week, Huang was telling Tom’s Hardware that the new tech’s critics were “completely wrong” because game-makers could still “fine-tune the generative AI” to suit their game’s aesthetics.
2026 March Madness: What Makes an NCAA Tournament Champion?
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Alien Life Could Look Nothing Like What We Expect. Here's How Microbes Beyond Earth Might Live Without Liquid Water
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Venezuela's yanqui-beating baseball triumph evokes politics — and yet something else more vital
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iOS 26.4 Fixes iPhone Keyboard Accuracy Bug
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Paul Questions Mullin’s Character Over Response to Attack by Neighbor
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Bethesda promises Nvidia's controversial DLSS 5 AI filters will be "totally optional" for players
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Characterising terpenic plant resins, wood tars and pitches in heritage science: analytical methods and applications
npj Heritage Science - Characterising terpenic plant resins, wood tars and pitches in heritage science: analytical methods and applications
Nvidia's DLSS 5 promises to bring you out the other side of the uncanny valley
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The Walt Disney Company Sets Leadership Team for Expanded Disney Entertainment Segment
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Judge delivers bombshell order for Krafton to reinstate fired Subnautica 2 devs and CEO, putting $250m bonus package back on the table
A judge has ruled that fired Subnautica 2 leads including the former Unknown Worlds CEO must be reinstated, with their $250m bonus package extended.
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‘Devil Wears Prada 2’: Adrian Grenier Breaks Silence on Sequel Snub
Grenier played Nate, Anne Hathaway's character Andy's boyfriend, in the iconic 2006 comedy drama.
‘Devil Wears Prada 2’: Adrian Grenier Breaks Silence on Sequel Snub
Grenier played Nate, Anne Hathaway's character Andy's boyfriend, in the iconic 2006 comedy drama.
Slay the Spire 2 is a bit too familiar for its own good
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With its fluorescent characters and ASCII text, Marathon is a masterclass in 90s nostalgia
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One of Marathon's best tricks? It dodges the "Blorko" problem that doomed Concord and Highguard
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Invincible VS adds Allen the Alien; PS5 and Xbox Series open beta test set for April 9 to 11
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Everything New in iOS 26.4 Beta 4
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Latest iOS 26.4 Beta Adds New Emoji Characters
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Trails in the Sky 2nd Chapter details main characters
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Nintendo has begun blocking videos with Super Smash Bros. Ultimate mods which implies something interesting on the horizon...
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Highguard will shut down permanently next week because it doesn't have "enough revenue to keep anyone employed to work on it"
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