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Get the Facts: Fact-checking controversial political ad in Ohio governor's race
While pushback continues to grow, Vivek Ramaswamy's campaign is standing firm on its decision to run a controversial political ad targeting Democratic Ohio gubernatorial candidate Dr. Amy Acton, featuring Acton's estranged mother.
Crows may make lightning-fast decisions, sometimes twice as fast as humans, study hints
Carrion crows made decisions about their visual environments significantly faster than humans and primates tend to, according to a comparison in a new study.
OpenAI makes its Jev competitor widely available as decision model competition heats up
OpenAI is launching its decision model to the world. Can it compete with the original Jev?
How well have past GOTY winners sold?
We’re less than two months away from 2026’s The Game Awards, and what a year it’s been for fantastic games, including Resident Evil Requiem, Forza Horizon 6, Slay the Spire II, the Blood of Dawnwalker, and Control Resonant – just to name a few. So as we approach the end of the year, we thought we’d look back on our estimates for the GOTY winners of the past four years. In terms of revenue, Elden Ring (2022 winner), Baldur’s Gate 3 (2023), Astro Bot (2024), and Expedition 33 (2025) have generated a combined $3.8B via 73M copies sold: Let’s have a look, then. Elden Ring has generated $2B in revenue Elden Ring is a phenomenon in every sense. It’s sold a whopping 36.4M copies across Steam (50%), PS5 (35%), and Xbox (15% across console and PC). Want more free estimates and insights in your inbox twice a week? Subscribe below! Subscribe Elden Ring also just passed an astronomical milestone: $2B in revenue. While PlayStation and Xbox account for half of Elden Ring’s copies sold across these three platforms, they account for 57.5% of revenue. This – as ever – is due to regional pricing and the higher relative share of PC gamers in lower-priced markets. For example, around 17.4% of Elden Ring’s Steam copies sold were in China, where the game costs about 26% less than the price in the States. There’s an … interesting narrative going around these days that console gamers are only interested in ball-and-gun games and have the patience for little else. Well, Elden Ring’s impressive sales prove that is simply not true, and across all platforms. What’s more, over 9.8M people have played Elden Ring for over 100 hours, with nearly 3.5M people getting all of the achievements and trophies. For reference, 10.9% of Elden Ring’s PlayStation players have the platinum trophy, while 10.5% of players on Steam and 3.9% of Xbox players unlocked all the achievements. Git gud, Xbox players! Of the 1.5M people who played Elden Ring on PlayStation last month, 4% also played Dark Souls 3 last month, 4% played Bloodborne, and 3% played Sekiro. There’s those Soulsborne diehards for you. By many accounts, including my own, Elden Ring is one of the best games of all time. It’s an evergreen seller that will continue to be a cash cow for Bandai and FromSoftware for years to come. Want more free estimates and insights in your inbox twice a week? Subscribe below! Subscribe Elden Ring has sold another 2M copies across Steam, PlayStation, and Xbox this year, generating almost $110M. This means it’s outperforming many of this year’s high-profile releases. Even Elden Ring’s standalone run-based PvE spinoff, 2025’s Nightreign, has sold 7.8M copies and generated $282M in revenue. Baldur’s Gate 3 is another billion-dollar-plus banger Another cross-platform phenomenon is Baldur’s Gate 3, which has sold 23.2M copies and generated over $1.2B in revenue. About 18.7M of these copies (80.6%) are via Steam, 2.9M via PS5 (12.7%), and 1.6M (6.8%) via Xbox. Around 1.3M folks on Steam bought BG3 before it hit 1.0. The PlayStation version launched about a month after the PC 1.0 release, while the Xbox version came four months later due to technical issues around developing local co-op on the Series S. Want more free estimates and insights in your inbox twice a week? Subscribe below! Subscribe Across platforms, Baldur’s Gate 3’s monthly active users have never dropped below 2M, including 2.2M MAUs last month (68.5% on Steam, 21.9% on PS5, and 9.6% on Xbox). And it still regularly brings in 280K to 400K players every day: About 1% of BG3’s Steam player base has played for over 500 hours! That’s a little under 200K people. Astro Bot is also an evergreen seller, albeit a more niche, family one Astro Bot, 2024’s winner, has now sold 4.7M copies and generated $291M in revenue. The budget, including marketing, is almost certainly under $100M, given the small Japan-based core team and three-year dev timeline. You can really see why the tides are changing toward less expensive hubs. Astro Bot is the only first-party winner on this list, but follows other first-party winners of The Last of Us Part II (2020’s winner), God of War (2018), and Breath of the Wild (2017). Around 46.6% of Astro Bot’s copies sold have been physical, which is far higher than the typical game. This makes sense for a couple of reasons: There’s a large family audience for this one, and physical boxes are an item to wrap when giving Astro as a gift. Astro has collector value for the PlayStation core (this is nostalgia-fueled platformer celebrating PlayStation’s history) Want more free estimates and insights in your inbox twice a week? Subscribe below! Subscribe Astro is another one of those games that continues selling over time, regularly selling more than 100K a month. It’s sold around 1M more copies this year ($60M in revenue) and is a popular title with families. We can see this using the Alinea platform’s MAU crossover tool: Astro Bot’s top #2, #3, and #4 games by crossover in any given month this year are Minecraft, Fortnite, and Roblox – without fail. The #1 title every month, though, is Astro’s Playroom, a pack-in with all PS5 consoles. For every month this year, between 20% and 30% of Astro Bot players also played Astro’s Playroom that month. So the free pack-in is a noice funnel for converting players to a full paid product. Expedition 33 sells 8.7M despite Game Pass cannibalisation Finally, we have last year’s winner – Expedition 33. The turn-based-RPG banger has generated $366M via 8.7M copies sold, with 58.8% on Steam, 35.7% on PS5, and 5.5% on Xbox. Xbox’s share of copies sold is this low due to Expedition 33 launching on Game Pass, where 4.3M people across console and PC accessed the game. A little under 700K Xbox players used their subscription to play Expedition 33 this year. That said, the game’s 1.5-year Game Pass deal ended last week on October 16, and we’re already beginning to see a positive trend on Expedition 33’s copies sold via Xbox (but the jury’s still out!). There’s understandably a lot of French pride behind this one, as France is the game’s #3 market on both Steam and PlayStation. Vive la France! One thing that stood out to me is that the GOTY winners aren’t $300M Hollywood productions made in the US. They’re mostly mid-budget studios outside the traditional AAA cost centres. Lots to think about there. Also, good games sell well; who’d have thunk it!? And there’s a whole load of them this year, with GTA 6 still to come, too. GTA just made the cutoff point for the VGAs this year. What a coincidence! Loading... Cool links and other stuff Our physical games newsletter from Tuesday was picked up by GameSpot, Eurogamer, TweakTown, and a bunch of others. We’re offering a free trial of our platform for games companies. Send us a message here, or reply right here on Substack/email, and we’ll set you up. Next week, we’ve got some exciting news regarding the future of our newsletter, so stay tuned! The last word Reply to this email – or reach out here – if you have any feedback for the newsletter – or want to request a game for us to cover. Want to see why these companies (and many others) are subscribed to Alinea? Get a free platform trial! [Alinea Analytics boasts the most accurate PC and console estimates in the business. Game makers use our platform to understand their audience, keep an eye on the competition, monitor sales trends, and spot new opportunities. We equip game studios and financial institutions with accurate data and the confidence to make smarter, data-driven decisions. Want to talk about all things games market data? We’d love to chat!]
Introspection required if EU Inc fails, says start-up lobbyist
European start-ups have a new voice in Brussels. Startups for Europe, created from the merger of lobby groups Allied for Startups and the European Startup Network, is hoping to harness the momentum behind EU-Inc, a campaign that united start-ups and investors behind demands for a new pan-European company regime.At a launch event for the new association in Brussels on October 1, the mood was remarkably upbeat compared to a typical Eurobubble gathering, more Silicon Valley than Schuman roundabout.When asked whether this reflects a feeling that Europe is on the right track, chief executive Serena Borbotti-Frison said it’s a “scary” moment as the continent looks to boost its competitiveness amid a new technological arms race.“What is at stake is quite intense, and the way we can answer is by delivering, but also with hope,” she told Science|Business. “It’s what our industry does. It’s not about identifying a pain point and then saying it’s too hard.”For many in the start-up community, that sense of hope is dwindling. In March, the European Commission presented its proposal for EU Inc, naming its initiative after the grassroots campaign.EU Inc was meant to be a gamechanger: the ability to incorporate within 48 hours for less than €100 and scale up across Europe; a harmonised stock option regime enabling start-ups to compete for talent; and simplified insolvency procedures for innovative start-ups to reduce the cost of failure.However, haggling by EU governments has raised concerns that EU Inc will be stripped of the very features, including stock option harmonisation, that are meant to make it attractive for companies.“I fear we are proving to ourselves that the model doesn’t work,” Borbotti-Frison said of the policymaking process. “Everyone agrees we should have EU Inc. Everyone agrees it’s hard to scale and we need to scale to answer the competitiveness [challenge], and still we cannot deliver? [. . .] What does that say about ourselves?”The Commission has made EU Inc a cornerstone of its single market reform, and has agreed with the European Parliament and the Council of the EU to target an agreement by the end of 2026. However, several points are currently holding up an agreement, including national rules around employee participation in management decisions, and the provision that employee stock options always be taxed at the point of sale. Some EU governments have reportedly pushed back on the Commission’s choice of legal basis, contending that anything related to taxation requires unanimity in the Council.Trade unions have also protested against EU Inc, fearing it will be exploited by companies looking to undermine workers’ rights.“If this doesn’t work, it’s introspection time, on the way our institutions work, maybe the way our lobbies work, and maybe the way the cooperation between them works,” Borbotti-Frison said.“Is it in the national interest? Is it a gap between political will and technical ability to operate? Is it speed? I don't know, but something needs to be fixed.”Ahead of last week’s European Council meeting, EU-Inc campaigners tried a new strategy: appealing directly to EU presidents and prime ministers. In an open letter, they urged EU leaders to “step in and give your negotiating teams a clear mandate to change course and reverse their objections to the Commission’s original proposal.”Lessons from EU-IncLike its predecessors, Startups for Europe will represent national start-up associations, but it is also targeting investors. The founding sponsors are venture capital firm Atomico and EQT, the investor selected earlier this year to manage the €5 billion Scaleup Europe Fund.It also wants to harness the knowledge and cross-border experience of European success stories. “Take the list of the 100 biggest unicorns in Europe. We are speaking to all of them,” Borbotti-Frison said. The association plans to publish a full list of supporters following the Slush tech conference in Helsinki in November.Andreas Klinger and Simon Schaefer, two key figures in the EU-Inc campaign, are both on the board of the new association, and Startups for Europe wants to take the lessons from their campaign.What was unprecedented about EU-Inc was “how rooted it was, and how strong it was in bringing everyone on board behind one clear pain point and solution to fix it,” Borbotti-Frison said. “This is an inspiration for us, and then we need to turn it into something more systematic, more bridged in Brussels, more connected to the policymaking game, and to scale it.”If it’s possible to unite such a broad coalition, it’s because the European start-up ecosystem is now mature, she said. “Maybe it was not ten years ago. Maybe it was not five years ago. But now, it’s mature to speak with one voice.”Open and liberal EuropeThe association plans to campaign on files related to three “pain points,” Borbotti-Frison said: “start and scale in Europe, fundraise and invest in Europe, and making Europe the most innovative continent.”As well as EU Inc, she cited public procurement, the EU’s simplification push, the Savings and Investments Union, and files related to AI adoption and technological sovereignty as priorities for the coming months.What these files have in common is that they relate not to subsidies but to the framework conditions influencing the availability of mostly private, or in the case of procurement, public, funding.Related articlesEmployee participation disagreement delays MEPs’ vote on EU IncCommission urges EU governments not to water down EU IncEU’s ‘ultra-fast’ €5B scale-up fund is set up to win, says its fund managerThe budget dispute over the next Horizon Europe programme will also impact start-ups, which are supported notably through the European Innovation Council. But EU innovation funding is a drop in the ocean compared to venture capital and public procurement budgets.“If competitiveness and innovation are a priority, then the [EU budget] should reflect it,” Borbotti-Frison said. However, she added that the main question is not how much public money is invested, but “how do we create the right conditions for the market to solve the problem?”The Scaleup Europe Fund mixes both approaches, using €1 billion in EU funding to crowd in private investors and address Europe’s lack of large-scale, late-stage growth funds. “It’s a proof of concept. Ideally, then the market will do it itself,” Borbotti-Frison said.Startups for Europe is also focused on bringing an alternative political narrative. Amid competing visions for open, global markets on the one side and a protectionist Europe on the other, it wants to offer “a third voice, to say we can be proudly European and build a strong continent in a liberal economy, open to the world, and global.”It can be tempting, when thinking about how Europe can better support innovation, to look across the Atlantic. But while it’s important to compare statistics to see where Europe needs to catch up, that’s where the comparison should stop, Borbotti-Frison said. “On everything else, we need to do it our own way. We don't have the same history. We don't have the same political model. We don't have the same way of life.”Many of the key files that could benefit the start-up community, including EU Inc and the Savings and Investments Union, rely on closer integration within Europe, making it easier to operate across borders.While the Commission has made deepening the single market a political priority, support at national level is more precarious. The coming months will see pivotal elections in Spain and France, while the German government has also been coming under pressure domestically. In each country, far-right parties have been gaining ground.When asked if she was concerned the political situation could jeopardise this progress, Borbotti-Frison responded: “Of course. I would be lying if I said I wasn’t.” However, she continues to believe that cooperation is the only way forward. “Doing it alone is not the solution. It’s also not who we are, it’s not the model we are building, and it’s not the scale we need.”
OCPS delays health insurance decision amid legal threats from unions
With a potential legal liability looming over the School Board, it ended with a unanimous vote to postpone a hearing until Nov. 13.
Dodgers announce decision on Shohei Ohtani after injuries
Shohei Ohtani’s first full season as a two-way player in three years didn’t end the way he or the Los Angeles Dodgers wanted, as injuries piled up and the Dodgers were swept out of the playoffs. But it sounds like the two-time defending champions are getting some good news on the health front, leading to…
Tigers qualify for states
by: Dom Gliozzi The 3A WPIAL Consolation match was more than a third-place battle, as the winner would advance to the PIAA State Tournament next week. With such high stakes on the line, third-seeded North Allegheny defeated fourth-seeded Upper St. Clair (at Sewickley Academy) on Wednesday afternoon by a 3-2 decision. The Tigers took the… More »
Midterms and Iran: Congress could change hands, but Trump would still control the war
On January 10, 2007, President George W. Bush announced a surge of tens of thousands of additional troops to Iraq — among the least popular decisions of his presidency. As a senior adviser, I watched from National Security Adviser Stephen Hadley’s West Wing office.
Commission announces plan for polar hub to step up research coordination
The European Commission plans to develop an EU polar research hub to strengthen coordination and improve the alignment between science and policy. The objective, according to a Commission official, is to “better connect research, observation and scientific infrastructure, improve access to research resources and strengthen coordination with stakeholders, including Indigenous people.”Announced in a new EU Arctic strategy on October 20, there is little detail yet on how the hub will be implemented, only that it will “reinforce and expand” the European Polar Coordination Office (EPCO), which is hosted and managed by the European Polar Board (EPB) at Umeå University in Sweden. EPCO was born from the EU-PolarNet projects funded through Horizon 2020 and currently coordinates the EU Polar Cluster, a network of EU-funded collaborative polar projects.While the practical details remain to be defined, the decision sends “a clear and positive signal,” said Maria Grigoratou, head of EPCO and executive secretary of EPB. “By reinforcing EPCO, the Commission has an opportunity to build on the legacy of EU-PolarNet 2, strengthen European polar research coordination and expand cooperation with a broader range of Arctic stakeholders,” she told Science|Business.The move has been welcomed by the polar research community. “The polar research hub could play an important role in connecting existing research communities, observation systems and infrastructure, and in bringing scientific knowledge closer to policymaking, in cooperation with local communities and Indigenous people,” said Katrine Moland Hansen, director of operations at Norway’s Nansen Environmental and Remote Sensing Center.But money will be an issue. “It is clear that EPCO will need more resources and structure to function well and to make research reach policymakers,” said Kati Lindström, vice-chair of the Polar Research Committee of the Estonian Academy of Sciences. “European polar research is big if we pool the resources, and it should not only be left to enthusiastic scientists to develop networks of strategic importance in their free time.”The Arctic strategy makes a point of saying that local communities should have a greater involvement in Arctic science. “All EU Arctic research consortia are mandated to invite Indigenous people representatives to participate in projects,” it reads. “The EU also supports research that is directly led by Indigenous communities and address their challenges.”It also underlines the importance of reinforcing collaboration with like-minded partners such as Norway, Iceland, Canada, the UK, Japan and South Korea, as well as deepening its engagement with NATO. This includes the US, with which “the EU is committed to continuing a pragmatic transatlantic engagement based on shared interests and values.”Related articlesViewpoint: Does Europe dare to invest in the Arctic?Anchor Greenlanders in Arctic climate research, experts tell EU ahead of policy updateFor Moland Hansen, this open and inclusive approach to cooperation is encouraging. “The Arctic is also a strong example of why equal participation of associated countries in EU funding instruments matters.”Overall, she finds the new Arctic strategy to be ambitious, timely and comprehensive. “We particularly welcome the recognition that climate change, environmental protection, security, resilience and competitiveness are closely interconnected,” she said. “Research, observations and forecasting capabilities are essential to understanding the rapid changes taking place in the Arctic and addressing these challenges together.”Security focusWhile the Arctic strategy foregrounds security, with pledges to protect undersea cables, boost satellite monitoring, deploy more icebreakers and improve military mobility, the polar community is satisfied that environmental concerns have not been forgotten.“It is inevitable that there is a strong security angle to the EU Arctic strategy, but the impact of climate change and need for climate mitigation and resilience is also strongly recognised and includes a pledge to stay the course on climate commitments,” said Sian Prior, lead advisor to the Clean Arctic Alliance, a coalition of campaigning non-profit organisations.“We need to remember that by the time the next Multiannual Financial Framework comes to an end, in 2034, the polar regions, especially the Arctic region, will be living under a new reality when it comes to ecosystem processes, when it comes to the climate,” Grigoratou went on. “And that will affect any ambition that humans may have in the region.”Lindström agreed. “All aspects of European security are dependent on climate change in the Arctic and consequently, on climate science,” she said. “We cannot close our eyes to issues like energy security, critical minerals, northern shipping routes, dual-use technologies and others. However, it remains to be seen how well the promises to protect the environment and Indigenous rights will hold when faced with critical mineral extraction under the Critical Minerals Act.”
Science of Learning Should Guide AI Use Decisions (opinion)
AI tools may be evolving quickly, but we have a deep research base we can draw on to determine how they help meet—or undermine—any particular learning goal.
Keeping the trust between patients and health experts as AI tech expands
How do you make decisions when it comes to your health? New research from the Yale School of Public Health and the Edelman Trust Institute points to a widening challenge for health leaders and clinicians.
SonicFox Reminds Everyone They're Based, Backing Out Of A Gaming Convention Over An AI-Generated Promo
Ninjutsu Entertainment posted a video asking SonicFox to reconsider their decision
BTA Sports Expands into Prediction Markets With AI-Powered Analytics
The fourth quarter rollout pairs independent probability modeling with “Ask BTA” to help users assess sports event contractsHORSHAM, Pa., Oct. 21, 2026 (GLOBE NEWSWIRE) -- BTA Sports, a subscription-based sports analytics and decision-intelligence platform, today announced its expansion into sports prediction markets, bringing the data and insights used by its sports betting subscribers to users evaluating sports event contracts. The offering, available in the fourth quarter as part of Version 2
Jaxson Dart is Officially on Notice After Giants' Latest Decision
New York Giants quarterback Jaxson Dart may have to watch his back.
Angels Make Final Decision on Kurt Suzuki Amid Ownership Change
The Los Angeles Angels announced they will not pick up manager Kurt Suzuki's option for the 2027 season after a disappointing year in 2026. The post Angels Make Final Decision on Kurt Suzuki Amid Ownership Change appeared first on LA Sports Report.
Brad Holmes Faces Decision That Could Define Detroit Lions’ Season
Brad Holmes faces a crucial decision as the Detroit Lions weigh secondary help ahead of the November 10 NFL trade deadline.
Supreme Court rebuffs Trump administration restrictions on medical care for transgender inmates
The Supreme Court on Wednesday refused to allow the Trump administration to immediately enforce new medical restrictions for transgender people in prison. The decision leaves in place a lower-court block on the policy.
Supreme Court rejects Trump's order to end hormone treatments for transgender prisoners
The decision is a rare win for trans rights at the Supreme Court.
Yankees Reveal Major Update on Brian Cashman Future With Team
The New York Yankees have made a decision on general manager Brian Cashman.
Kagan says supreme court conservatives have made US political system ‘a nightmare’
Liberal justice says recent decisions on redistricting and campaign finance have undermined democracy and polarized US even more
Australia urged to put biodiversity at the heart of planning as global targets slip out of reach
The world is falling short of its biodiversity commitments because nature is still treated as an afterthought in decisions about housing, infrastructure, agriculture, energy, mining and conservation, ...
TWICE’s Jihyo Departs JYP Entertainment After 21 Years + Launches New Agency EMITHAUS
Jihyo is beginning a journey with a new company! On October 21, the TWICE member took to her Instagram to share the following handwritten letter: Hello, this is Jihyo. I’m writing today because there’s something I’d like to share with you. After 21 years, my journey with JYP Entertainment, which began when I was just a child, has come to an end. Trying to put 21 years into just a few words is harder than I thought it would be.From childhood through my teenage years and into adulthood, I’ve spent most of my life at JYP.There were good days and difficult ones, but one thing I know for certain is that every one of those moments has shaped who I am today.I want to express my sincere gratitude to everyone at JYP who has been by my side and helped me grow over the years.I will always cherish the time we shared and the memories we made together. To me, independence is not so much a conclusion about the time that has passed, but a choice about how I want to live going forward.As the first step in this new chapter, I have established my own company, EMITHAUS.Just as “EMIT” means to “express or release,” I hope this will be a place where I can freely explore and bring to life even the possibilities within me that I have yet to discover.As I step away from a familiar environment and begin working in new ways, I will approach every decision and every endeavor with even greater thoughtfulness and responsibility. I also want to make it clear that this decision does not mean saying goodbye to the team I’ve been part of for so long.TWICE is an irreplaceable part of my life.Just as I cherish all the years we’ve shared, I look forward to all the moments still ahead of us.I will continue to stand on stage with my members and keep building more memories together for many years to come. Above all, I want to thank ONCE for believing in me and standing by my side for the past 11 years.I know that watching someone grow and change through so many stages of life and continuing to support them along the way is never something to be taken for granted.Thank you for giving me the courage to keep moving forward through your unwavering trust, love, and support.I will continue to fill the years ahead with choices and efforts that stay true to who I am and keep growing as an artist who lives up to all the love and support you’ve given me. Thank you. https://www.instagram.com/p/DevZGTkmTD2/ Jihyo is the third TWICE member to officially leave JYP Entertainment following Jeongyeon and Chaeyoung. Wishing Jihyo all the best on her new start!
Justice Kagan warns Supreme Court rulings are fueling polarization and undermining democracy
WASHINGTON (AP) — Justice Elena Kagan on Tuesday said voting and elections decisions from her conservative Supreme Court colleagues have helped make the country more politically polarized and less democratic.
Justice Kagan warns Supreme Court rulings are fueling polarization and undermining democracy
WASHINGTON (AP) — Justice Elena Kagan on Tuesday said voting and elections decisions from her conservative Supreme Court colleagues have helped make the country
Wild Insider Agrees: Dylan Larkin Trade Feels Imminent
Michael Russo has heard about some movement behind the scenes in Detroit, and he thinks a decision on Dylan Larkin is close.
Ahead of Midterms, Justice Kagan Says Rulings Have Intensified Polarization
The justice said during a discussion that recent Supreme Court decisions on voting rights, gerrymandering and campaign finance have deepened America’s divides.
Alberta's decision to stay in Canada gives Carney backing to take on Trump
The overwhelming vote by Alberta to stay in Canada gives Mark Carney political capital to focus on remaking the country's economy, writes the BBC's Lyse Doucet.
As flag football becomes official sport in Oregon, Salem-Keizer coaches, players hopeful about future
The decision is particularly meaningful for some Salem-Keizer Public Schools teams that have been invested since the sport began gaining popularity in 2023.
Regional Banks Put AI Into Core Operations as Business Lending Grows
Third-quarter results from PNC, U.S. Bancorp, Truist, Fifth Third, Regions and KeyCorp show that regional banks are putting artificial intelligence into
Boeing 737 Max 10 lands long-awaited FAA certification
The Federal Aviation Administration on Tuesday certified Boeing’s largest Max variant, the 737 Max 10, after years of manufacturing and regulatory hurdles. The FAA’s decision clears the way for Boeing
Grading Phoenix Suns' Decision To Extend Oso Ighodaro's Contract
Phoenix secures a versatile defensive anchor by locking down the Marquette alum with a high-value extension, betting on his elite rim protection and playmaking to solidify their future.
Everton's Right-Back Conundrum Ahead of Arsenal
Everton are preparing to face Arsenal in the Premier League, and David Moyes could have a decision to make at right-back.
Sundar Pichai: Google’s Frontier Imperative, Compute Scarcity Dilemmas, Future AI Products and Businesses
Alphabet CEO Sundar Pichai has little patience for doubts about Google’s willingness or capacity to compete at the frontier of AI. His company’s latest Gemini 4 Argon model — long-promised and recently delivered — beats OpenAI and Anthropic’s latest public models on coding, math, science, and knowledge-work benchmarks and has placed Google’s AI back among the world’s best. Amid chatter that Google was fine with good-enough lightweight ‘Flash’ models, Pichai pushed back hard against any suggestion that company is limiting its research ambitions. “We won’t do it any other way,” he told me in a Big Technology Podcast interview recorded this week at Google’s Mountain View headquarters. Pursuing cutting-edge research is costly for Google, requiring compute and chips that otherwise could be sold at a high markup by its cloud business. But Pichai said allocating resources to frontier AI development is “ground zero” for Google. “Our cloud business is at any given moment in time forgoing short-term revenues because we are making compute trade-offs to support frontier AI development,” Pichai told me. In our conversation, we discussed Argon (which Pichai says processed three times as many tokens as Gemini 3 in the 72 hours after launch), AI’s role in developing better models, the AI interface of the future, competition with OpenAI, Google’s partnerships with Anthropic and Apple, data centers in space, and the nature of his optimism. You can read the full conversation, lightly edited for length and clarity, below, or listen to it on Apple Podcasts, Spotify, YouTube, or your podcast app of choice. Alex Kantrowitz: Google is back at the frontier with Gemini 4 Argon, which beats OpenAI’s and Anthropic’s public models on benchmarks spanning coding, math, science, and knowledge work. The conventional wisdom was that Google had given up on the frontier to focus on fast, good-enough models for its products. That was wrong? Sundar Pichai: Very wrong. Look, we are so committed to being at the frontier. It’s in our DNA. We won’t do it any other way. We’ve been thinking about the AI frontier for well over a decade now. The frontier is very dynamic. It’s very competitive. It’s very exciting. I couldn’t be more pleased with how Argon has come together. We took our time with it. We made sure we tested it safely and deployed it carefully. We took a bit longer than our other models, given its capabilities. Across the board, be it for agentic work, knowledge work, coding, creative tasks, Argon is one of the really good frontier models. The first 72 hours since we launched, it’s almost up to 25 trillion tokens used, which is about three times what Gemini 3.0 had in the first 72 hours. And we are capacity constrained as we are serving it. Excited, but there are always areas….. You know, the frontier is very dynamic, and you have to keep evolving the models. There are areas which we can see we need to improve as well. We’ll be at work on all of that as well. Which areas? On any given model, Argon would be across the board better at everything if you just look even two months back. But the space is so evolving. Even on coding, for example, there are pockets where we know we need to do better, and there’s clear feedback. We’ll make it better. The argument for standard models is that they’re already good enough to build great products, with the frontier valuable only for certain tasks. Meta built Muse with good models rather than the best, and Google could put standard models into Maps, Gmail, and Search. Why isn’t that sufficient? It’s definitely not how I have thought about it at all. We are deeply committed to driving the state of the art and actually pushing where this technology can go, all the way from transformers. That’s a journey we’ve been on. You will see us continue to do that. When you’re at the frontier, you get an earlier look into the emerging capabilities, earlier than others, which helps you better prepare for the future. We are fortunate to have a wide set of opportunities across consumer and enterprise. Some of our cloud customers, for sure, want the model at the frontier. The frontier models will be better at developing the next set of models in an era of recursive self-improvement. I would argue it matters there. Internally, we have definitely seen a steep point of inflection by deploying Argon to our developers. It definitely tackles problems which our previous models could not do. Being at the frontier puts you at the innovation frontier and helps you drive that as well. There is room for models of all sizes and capabilities. That’s why we did Flash, Flash-Lite, etc. I agree with you that you can develop very good product experiences with not necessarily the most frontier model, because they tend to be slower and more expensive too. But we care about the Pareto frontier, and we’re committed to doing all of that. You said developing frontier models gives you a look at what’s coming. What do you see on the horizon? What makes this moment so exciting is you build something which you think is a culmination of months of work, and you put it out. You already see clear headroom ahead. We’ve all been working on these agentic, long-horizon capabilities, but clearly the frontier is going to have multiple of these agents working together to do things. That’s an example of an exciting paradigm underway. It’s also clear to me that users, both in consumer and enterprise, will have access to some multi-agent framework for them, working all the time doing things. It feels like a moment of infinite possibilities. Sergey Brin said one of Argon’s core innovations was relying more on the model to help develop the model. Yet incidents involving OpenAI’s bots breaking containment and Google’s bots accessing a site they shouldn’t have suggest these systems still aren’t perfectly aligned. Isn’t there reasonable cause for concern about accelerating toward recursive self-improvement? There are three parts to your question. Let’s first talk about RSI itself. You’re right, Sergey mentioned RSI being a critical contributor as we are developing Argon. But to be very clear, today, in a continuum, we are pretty far from the end state of RSI or something like that. The right way to describe it is you have RSI loops along with AI researchers in various aspects of model development. You almost have agents helping AI researchers in some automated way work together to build these models. It’s good to at least understand where we are today, and it’s super exciting. I expect that continuum to keep making progress as we go into next year. The second question is around safety. Security comes from defense in depth. You’re talking about alignment, obviously. We all are doing a lot of work to make sure the models are as aligned as possible. But it’s an active area of research, and there are clear gaps. That’s not the only thing we rely on. You have the work you do on alignment, but beyond that, we put a lot of effort into real-time monitoring as these models are working. Making sure you have good telemetry into what’s happening so that you can intervene in real time if you see unexpected behaviors. How you do that, the architecture with which you do that, how you make sure it’s all sandboxed and isolated in a way that it can continue doing its job during real-time monitoring — these are all areas of investment. Obviously, when we deploy these models, giving customers, enterprises, control, both with real-time monitoring, but their ability to decide where they deploy, what type of data which models ever have access to, etc. All that work is very, very important, and we are doing a lot of that. As an industry, we need to constantly up our game and take the time to do all this stuff, including dedicating the compute required to make sure you can safely deploy these models. The third part is: Is it all enough? This is why there are a lot of conversations in the industry, and I think it’s reasonable to be worried. The right way to approach something you worry about is early on thinking about what more we can do. As an industry, you’re definitely seeing increased levels of work on alignment, testing for safety, etc., as we deploy these models. The next step would be developing better standards so there are cross-industry standards of how we do these things, including the ability to evaluate using independent evaluators. If you look at areas like financial controls, we have accounting standards, we have independent auditors. Those are all the next natural steps for us as an industry to work toward, and regulation will end up playing a role as we go through all of that as well. Google pursues both language models and world models, while some other AI companies like OpenAI have focused more heavily on LLMs as the path to AGI. Why is world-model research important to you? As humans, you obviously perceive the world around you, and you’re taking all those inputs. Making sure these models are able to understand the laws of physics, simulate the world in high fidelity. All that, I think, are key enabling blocks for intelligence. We are working across all possible applications of this. Take an area like robotics. It’s not an accident: If you look at embodied reasoning benchmarks, Argon is state of the art. That all comes from our experience building world models. Inherently, I would expect there will be architectures which will converge all of this in the future. But for us, we view this as, today, this jagged frontier that is intelligence. We want to be at the frontier of all the possible approaches, and that will help us both drive better research, better insights, and develop a much better AGI model, is how we think about it. Some people argue Google should focus on selling its computing resources rather than using them for AI research. Cloud wants to sell compute at a high markup, while researchers need a very big computer to build the best models. How do you balance those demands? Ground zero for us is making sure we are investing in the compute that’s needed to be at the AI frontier. In 2015, I set the company to be AI-first. AI is that key horizontal ingredient across everything we do, all the way from Search to Cloud to Waymo. That is ground zero for us, making sure both for research and developing the models that we have enough compute needed. Beyond that, we have these independent businesses which each have their own long-range plans. They’re using those long-range plans to project forward, and we plan for compute for all of them. The cloud team, they have a business and they have a projection and they have demand signals. They have committed contracts. With that help, we can plan on a long-term compute trajectory for them. We’re fortunate to have this wide set of opportunities. There’s no company in the world which isn’t making trade-offs at any given moment in time. But the first principles we operate on is making sure we have enough compute to invest in the frontier, and that’s non-negotiable, and everything else works on top. Remember, we are building our own compute, our own data centers. There are long lead times. The compute we have today is a function of decisions I made in 2024. Even if you think back to a year from today, last year the agentic coding takeoff hadn’t happened. Today, obviously, when you sit and look at anything, everyone is short—not just us, other companies—and everyone wishes you had two times what you had planned for. That comes with the territory. At any given moment in time, we are planning for what we would need two to three years out in the future. You’re going to find some decisions you make may look suboptimal two years out, depending on where the state of the art is. I don’t spend too much time thinking about it. The way I think about compute allocation is making sure Google DeepMind, both for research and frontier model development, is cutting edge in terms of compute access. After that, we plan for all our businesses. It’s great we can provide our compute to other people too, like we have done. It allows us to scale that up, get real tests for it in the widest application set possible, test it in the real world, and make sure we are at the cutting edge of technology at every layer of our AI stack as well. Ben Horowitz relayed on a podcast that Andy Jassy had said compute was sold out until 2028. Are you seeing the same thing? If today a customer is coming out and asking us for compute in ’27, that is incredibly difficult to do. Even last year we went out and leased some short-term compute to accommodate some customers and help them out. But yes, we are all dealing with similar timelines. Every major technology shift seems to involve overbuilding, from railroads to fiber. Do you think that’s happening here? It depends on the time frames you’re looking at. This level of build, if I take a long enough time frame, it makes complete sense to me. We are at early stages of the most consequential technology ever, and this is not like fiber. It’s not dark. We are using it. We are capacity constrained on a daily basis. The applications, the underlying technology is improving rapidly. But running a company, the way I work through the moment is you look at your demand signals. You look at your committed revenue opportunities that you’re getting in the form of contracts. You balance that with the underlying technical capability, or internally you balance how we are using it internally, the model trajectories. Based on all that, you take a disciplined approach—a confident, aggressive, but disciplined approach—to plan out compute. But when you talk about the broader economy as a whole, you’re having people operate with various levels of risk. I focus on what I can control as a company and plan through it. If your question is, can there be an overbuild? Yes, because you can have some constrained components. Remember, what matters is a set of everything you need to build out that compute. Memory, electricity, electricians…. Land. Like 2,000 components or more. You could get constrained at some point. There could be things which cause bottlenecks, and then you could have overbuilds. There could be external shocks to the economy. There are macro risks. All that is possible at any given time. But am I confident that the compute we are planning for, we will have uses for it given enough time? Absolutely, yes. I was in the room when you said AI would be as profound as fire and electricity. If you believe that, shouldn’t you give researchers the biggest possible computer, even at the expense of today’s cloud profits? We’re all doing some form of that. Our cloud business is at any given moment in time forgoing short-term revenues because we are making compute trade-offs to support frontier AI development. What you’re seeing is true already. But you want to be thoughtful. Even our AI researchers have some constraints, which are also good. That’s what inspires creativity. That’s what helps you come up with a more efficient algorithmic breakthrough, maybe to use less memory. What we are committed to is to invest what’s needed to stay at the frontier. OpenAI President Greg Brockman told me a few months ago that the ideal AI product might have no interface at all—just as natural as conversation. What do you think the interface looks like in the age of AI? Computing historically has been humans adapting to computing. With AI, it’ll be the other way around. The technology will adapt seamlessly to how humans live and go about their day-to-day life. You want to be able to speak to that AI when you want to. It has context. It can be persistently running somewhere, give you continuity. You’re not dealing with a lot of complexity. It’s natural. All that makes sense to me. That doesn’t mean it won’t have any interface, however. Nowadays, even on my phone, Gemini voice models are so good. I can just press the microphone button. I can just ramble. That’s why we call it Rambler. I can ramble. It intelligently corrects with my personal context. Even my friends’ names, weird names, it gets it right, even if it first guesses it wrong. It’s amazing. I’m not going in, backspacing, editing once I finish saying it. It’s remarkable how good it’s gotten. But there are going to be moments you will need an interface. You may want to entertain yourself. You may want to watch a video. You may ask your AI to create something, and you want to watch it, consume it. The way I think about it is, you want it to be as seamless and as natural as possible, and that you are not doing the hard work adapting to whatever the interface is. The technology is adapting to how you’re working at any given moment in time. When I asked Sam Altman about competition from Google, he argued that OpenAI was building AI-native products and implied Google was bolting AI onto existing ones. Do you accept that framing, and can a “bolt-on” compete with an AI-native product? First of all, it’s a very dynamic moment. We are all pushing each other. OpenAI has pushed us as a company too. This is not just we are doing something to them. Far from it. Yes, Google went into its own version of a code red too. In the AI moment, all of us have to respond with varying levels of urgency at any given moment in time. We are constantly building new products as well. Gemini was built from the ground up as a product—the Gemini app I’m talking about. Or tomorrow, as all of us are adapting to agents, are you bolting agents onto ChatGPT, or are they building it natively? How would you think about that? You can always put these questions back. I don’t think of it that way. I think of it as you want to build world-class product experiences that are AI-native and they are winning. Some of it is adapting products, some of it is rethinking new experiences. They will all be part of how you approach this moment. How do you expect to make money from these AI interfaces? If an agent recommends a product and I buy it, should it take a cut of the sale, even if that’s disclosed? I’m going to put enterprise aside. Consumers are going to increasingly value this technology. Take software developers today. Developers are willing to pay for these coding models because it really helps make them more productive. Nobody would want to code the way they were coding three years ago, or even the same time last year. When you’re delivering value, there’s value to be had. I’ve never seen examples where consumer products really scale to billions of users, where people are using it intensely, and haven’t had monetization to go along with it. If you’re providing value to people, there is inherent value to be had. The nature of it may change. You’re asking a scenario in which agents are doing stuff for you. At the end of the day, you will have commercial needs. The agents need to fulfill those commercial needs. The providers on the other side are going to see value in that. There’s going to be some mechanism by which it gets fleshed out. That’s what an efficient system does. But what matters is that you’re building those world-class consumer experiences. I promised myself one product feature request: Can you make Gemini-powered search in Gmail as good as searching Gmail through ChatGPT? What’s going on here? One of the exciting things we announced recently is the unified Gemini agent for enterprise, and we’re bringing that to consumers. These are persistent agents which run 24/7 in the cloud. We’re spinning up a micro VM effectively for every query, and from the runtime, the harness, the model—it’s all a headless service. It’ll work everywhere, and it has your context with you. You can address this agent whether you’re in Workspace, in Search, in Gemini. Agents are going to drive this unification from a customer experience, which people are looking for. When you have a broad product portfolio and you’re moving forward fast, there are always areas where you’re moving forward faster than some other areas. That’s valid feedback. But we are putting a lot of time and effort into making sure, as we build out our agentic experience, that unification and that capability works well across all these services. People have asked where Google’s equivalent of Muse or Dots is. Do you anticipate creating a new product to compete with them? Our goal with Gemini is to be a personal, proactive, and powerful assistant. That’s what we are working toward. You saw us describe the early versions of it at Google I/O this year with Spark. Effectively, already, if you open the Gemini app as a Pro or an Ultra user, you see Chat and Task, and they start giving you that agentic experience. With Argon now, that capability is dramatically accelerated. What we announced recently in our enterprise event, we are bringing that to consumers as well. Soon in Gemini, you will be able to ask something, and it’s a continuum. You don’t need to think about whether you’re asking a chat or an agentic task. It’ll just automatically do the right thing, and it can work persistently in the background securely and get things done for you. Already, empirically, when I look at what’s coming into Gemini in our app, last year you would have tagged them and most of them would have been chats. But a steadily growing percentage is already agentic tasks in Gemini. Yes, we are going to bring personal agents to our consumers. It’ll work in the Gemini app. It’ll work in Google Search. It’ll work in Gmail. You can address it, call it, etc. We want to make sure we’re getting it right. It’ll be powered by Argon, and we are very excited to bring it to our users. Google has invested and committed tens of billions of dollars to Anthropic. What do you see in Dario Amodei that makes you want such a deep investment and partnership? Very early on, when we looked at the founding team of Anthropic, it was very clear to us this was a world-class team which was involved in some of the earliest GPT models. We were quickly able to assess that they would be at the frontier. We’ve always tried to identify and partner with companies which would be at the cutting edge of technology. We’ve done that with SpaceX. We’ve done that with Anthropic. That’s what we saw, and we had a chance to partner. Is your partnership with Apple to license Gemini for Siri expanding, contracting, or standing still? For both us and Apple, that partnership was about translating the capabilities of AI into better experiences for users. I thought Apple has done a phenomenal job of incorporating—they customize these models and build it into Siri—and it’s been great to see the reception. We are committed to doing more. You’re going to do more with them? There’s nothing specific to comment, but it’s a partnership. It’s working well. What have you learned so far about the feasibility of data centers in space? It’s a very exciting project. Projects like this remind me—I still recall that moment in the desert for the DARPA Grand Challenge, watching the Stanley car compete in it, which ended up being the basis for Waymo. With all these technologies, you’re at a moment in time where it looks a bit like sci-fi, but 10 to 20 years down the line, it’s actually working in a meaningful way. I feel the same in space. We’ve always believed in betting big on these technologies. Quantum has been a great example of it. We’re probably 10 years into the journey. Waymo, we are almost 20 years into the journey. Space, we are two to three years into the journey. It’s clear to me that it’s an approach which will make a lot of sense in the future. Being in sub-synchronous orbits with 24/7 access to the most abundant form of energy we have access to will make a lot of sense for this exponential increase in compute that we are going to need. Having said that, this is a challenging project. The team has disciplined milestones. It was a super exciting milestone to send the TPUs up to space. Sometime, as we are speaking, we are expecting a “hello world” moment from them. I look forward to seeing that happen, and we’ll continue investing here too. You previously said 25% of the code written within Google was written by AI. What’s the number today? That number in our world today is meaningless in the sense that every part of what we now touch is influenced by AI deeply. What we are tracking with Argon, for example, it’s been a point of inflection. People are using Argon to really go tackle complex projects, including projects which affect millions of lines of code. In the four weeks since we have launched Argon, we have seen a 30% increase in CLs, and more importantly, almost a similar increase—a one-third decrease in rollbacks. People are writing code more productively and better code with it. We are tracking it with newer metrics now. How are you dealing with opposition to data centers? If you can’t build in the U.S. the way you want to, where else do you go? We’re very committed to building our data centers very responsibly. When I look at our largest data centers in some of the communities where we have been the longest, I visit them, I talk to people. There are people who come and tell us their kids have gone to college because of our investments in these communities, and we’ve grown in those communities. To me, this is about doing it right. Engaging with the communities early, doing it transparently. We are committed to making sure we are bringing incremental power, and we cover 100% of the cost of our power needs for these projects. It’s understanding the impact on neighborhoods and making sure you’re working thoroughly to address them. Done rightly, you can continue making progress. But we are constantly taking feedback into account. I do worry not everyone operates the same way. People have been surprised by data centers showing up in their backyard. Those are all important. As an industry, we should continue to do better. But part of the reason, in a 20-year time frame, we are thinking about things like data centers in space is making sure we are able to put these data centers where maybe the trade-offs will be different. What unproven area of AI is Google working hardest to crack? Is it continual learning—getting models to keep updating after release—or something else? There are multiple parallel paths. You saw with Argon we have a million output tokens. With our Gemini models early on, we had a one-million context window on the input side. These are all examples of breakthroughs we are constantly working on. How do you think about synthetic data? How do you think about continual learning? How do you think about more efficient architectures? We do dedicate a meaningful percentage of our compute to these research bets too. It always goes hand in hand, including our world models. Those are all bets we are placing. Sometimes, as part of these bets, there are ideas that emerge which just make their way into the mainline models. Maybe we don’t fully talk about it, but we have multiple steps in these areas. Working in technology requires optimism that building something will improve the world, but those bets can leave real consequences when they fail. I recently returned to a town in El Salvador where enthusiasm for Bitcoin had given way to unfinished construction and something resembling a ghost town. How do you maintain the optimism you spoke about in your Stanford commencement address while accounting for those risks? I genuinely have a deep conviction that improving technology and improving access to technology makes people’s lives better. It’s been my personal experience in my life, out of which comes that deep conviction, optimism. But with that, I’ve always felt humanity’s journey is always about working hard to harness that technology to make it work well for society. The optimism is not an optimism that you just build whatever you want, whenever. You work hard to make sure you’re building technology in the service of humanity, to make the human condition better. That’s got to be the defining goal as we are approaching it. With that framework, I’m very, very optimistic. We are in very early stages of the kind of progress that we are going to see on many areas. We’re all talking about areas like healthcare. A lot of the progress is ahead. The ability to make things in a fundamentally cheaper way on many things where things have been getting expensive for a long, long time, discovering new materials, etc., which really bend the curve—it’s tough to step today and understand the impact of all that, but they’re going to be very profound. I’m very optimistic, but we have to be rightfully concerned about all the ways this technology can go wrong. Sundar, I know you don’t do many of these. Thank you. Thanks, Alex. Appreciate it.
Dodgers Face Difficult Decision With Vesia
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Chinese scientists find neurons may act as minicomputers to help decision-making
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A note to readers: Science, accountability and elections
Dear readers, As early voting begins, I wanted to share some news — and why it connects to the decisions we make at the ballot box. I’ve been selected for the inaugural cohort of the South Atlantic Climate Journalism Hub mentorship program, hosted by Covering Climate Now. I’m excited to join this group, learn from scientists and fellow journalists, and expand my science reporting. Science directly ties to governance. Local officials make decisions about where development goes, how infrastructure is maintained, what emergency preparations receive funding, and how communities rebuild after disasters. Understanding the evidence behind those decisions helps us evaluate whether our government is serving us well. Here in western North Carolina, those connections are all around us, in Lake Lure and beyond. Flood maps inform decisions about property and development. Engineering assessments help identify risks at dams and bridges. Rainfall forecasts guide emergency preparations. Geological information helps explain landslide hazards. Water testing gives communities information they need to assess conditions. Meteorologists’ knowledge and public perception of weather events shape public safety. Each involves scientific or technical knowledge. Each also raises questions about public responsibility: What did officials know? How did they use that information? What did they tell the public? What did taxpayers receive for their money? A study can identify a problem. Elected officials still have to decide what to do about it, how to pay for it, and how to explain their choices. Reporting should examine both the evidence and the response. That is where I want to strengthen my work. My reporting on Helene recovery, infrastructure, flooding, public safety, and public spending has repeatedly brought me to questions that require scientific expertise alongside public records. This mentorship may help me better understand the research, ask more precise questions, and explain the answers clearly. I also bring the perspective of someone living with these concerns. I live downstream of Lake Lure Dam, and landslides affected my property during Helene. Those experiences bring urgency to my questions. Careful reporting helps establish the answers. Readers deserve to know what the evidence shows, where uncertainty remains, and whether officials accurately describe the information guiding their decisions. You also deserve scrutiny of proposed solutions: what they cost, what they are expected to accomplish, and what risks remain. Access to that information matters. As a mostly deaf journalist who relies on written communication, I will continue pressing for written public warnings, records, and explanations that people can read and use in real time. As you consider the candidates seeking your vote, consider how they approach evidence, preparedness, and transparency. Do they support local journalism, even when it’s not parroting a press release? Do they explain weather events clearly in plain English and explain their decisions after them? Make supporting records available? Acknowledge uncertainty? Follow through when a report identifies a risk? Those are practical questions about governing. Thank you for supporting Cops & Congress and the work that makes these questions part of the public conversation. I’m grateful to David Dickson and the CC Now team for this opportunity, and I look forward to bringing what I learn back to you. Annie DanceEditor & Publisher, Cops & Congress — Learn more about this newsletter, ethics policy, how you can help shape this work, and support it. Follow on X and Facebook. Send constructive criticism, fan mail, and tips with public documents for future stories: CopsandCongress@gmail.com ICYMI: View the Cops & Congress archive — Annie Dance is the publisher of Cops & Congress, a newsletter that analyzes what happens when crime, courts, disaster, democracy, and small-town policies collide. Views expressed here are covered by the First Amendment. Dance has a Bachelor of Arts from Manhattan University in Communication with a focus in Journalism and Government. She has been a journalist for over 20 years. Share Upgrade now or give a gift subscription
Pfizer makes ‘business decision’ to end phase 2 trial of autoimmune drug as program’s future uncertain
Pfizer has called time on a phase 2 trial of its CXCR5 antibody in an autoimmune blood disorder, with the company tight-lipped on whether this marks the end of the road for the asset. The Big Pharma had been evaluating the therapy, dubbed PF-06835375, in a phase 2 study of 61 patients with primary immune thrombocytopenia (ITP) that kicked off in 2022, according to the federal trials register. However, Pfizer confirmed to Fierce on Monday that this study had been terminated “due to a business decision.” “The decision to terminate the trial was not based on any safety concerns,” a spokesperson pointed out. At time of publication, PF-06835375 remained listed on Pfizer’s website for both ITP and lupus. A phase 1 study in lupus wrapped up in 2022, according to the trials database. ITP is an autoimmune disorder characterized by a low platelet count. Novartis was at one point evaluating its B-cell-depleting antibody ianalumab—recently approved as Fabhalta to treat immunoglobulin A nephropathy—as a potential treatment ITP. But the therapy struggled to demonstrate a benefit in the clinic for this indication. When contacted by Fierce, Pfizer wouldn’t confirm whether all work on PF-06835375 has been halted, and whether the company has any other plans to explore C-X-C chemokine receptor type 5 (CXCR5) as a mechanism. CXCR5 is found in blood cancers such as diffuse large B-cell lymphoma and mantle cell lymphoma chemokine receptor. However, there is little expression in normal tissue, which has led some drug developers to explore its potential. Vincerx Pharma had at one point been planning to take an anti-CXCR5 ADC into the clinic to treat B-cell malignancies, but that ambition was scrapped due to cash constraints. Where Big Pharma is placing its bets is one of the hot topics being discussed at Fierce Biotech's high-impact event in London next month. Find out more information and register by clicking on the banner below: [ ](https://qtxasset.com/quartz/qcloud5/media/image/where_big_pharma_is_placing_its_bets.png?VersionId=B8JrRbJ.pFUSK1pJgjeWHLGm_18RdLAy)
Texas Football Prediction Has Longhorns Making $50 Million Steve Sarkisian Decision
Texas has gone from No. 1 to two straight defeats, and one college football analyst believes another disappointing finish could be bad news for Steve Sarkisian. The post Texas Football Prediction Has Longhorns Making $50 Million Steve Sarkisian Decision appeared first on HEAVY.
Five Cybersecurity Areas for Review This Month » CBIA
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Detroit Lions Could Have Stunning Opportunity to Land Sauce Gardner
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Judge detains fired OpenAI engineer over concerns on Saudi Arabia ties
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PlayStation founder Ken Kutaragi says discs became "metaphor for 'owning' games", and that upset at their discontinuation is a "mentality issue"
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Supreme Court to Hear New Case on Race and School Admissions
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Eric Dane’s drug addiction may have impacted the decision to write him off “Grey’s Anatomy”, new book reveals
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Would never do it again: Ex-international regrets Germany decision
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Massive mistake at Liverpool, costs them £280k-per-week star
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Two sides of the same coin: turning science into better risk decisions
Two sides of the same coin: turning science into better risk decisions
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Facing Realities: Christian Nationalism, From Local Messages to Political Action - by Jessica Mitchell
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Trump's decision to waive Russian sanctions outrages Congress, but no quick counter seen
Lawmakers from both parties blasted the executive order late Friday, the latest in a series of steps that the Republican president has taken drawing the United States closer to Russia's Vladimir Putin.
Trump's decision to waive Russian sanctions outrages Congress, but no quick counter seen
President Trump’s abrupt decision to waive sanctions on Russia is drawing outrage and concern from members of Congress
Trump’s decision to waive Russian sanctions outrages Congress, but no quick counter seen
WASHINGTON (AP) — President Donald Trump's abrupt decision to waive sanctions on Russia days before they were to take effect drew outrage Saturday from members
How real estate decisions offer keys to business success
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Trump signs Executive Order waiving sanctions against Russia
President Donald Trump cited “national interests” for the decision to waive a punishing sanctions package targeting Russian exports and leaders.
Proposed AI Governance Framework: Risk-Mitigation Recommendations for Health Plans
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Turn Calf Health Records Into Herd Improvements
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Can AI solve our mental health access problem?
Last week I asked you what worries you most about AI in health. It was close, but your top answer was “AI giving bad health advice.” Last week’s poll results: You’re in good company. This concern was top of mind at a conference I joined at Stanford last week, where researchers, clinicians, and people who build AI systems spent a day debating trust and safety in health AI. Stepping back, I’m also hearing your emerging concerns about AI’s impact on our well-being generally. I see this as a matter of public health, and we’ll take it in pieces as we learn together. Today we’ll focus on AI chatbots used for therapy for mental health. Early this month, Governor Newsom vetoed Senate Bill 903, California’s most ambitious attempt to regulate AI use for mental health. It’s at the center of active debate, and raises the questions patients, family members, citizens, and voters will face as AI moves deeper into health care. Let’s work through it. What is “AI-based therapy”? It’s really two things: purpose-built mental health apps designed to deliver structured support, and general chatbots like ChatGPT, Claude, and Gemini that people increasingly use for emotional support—even if they weren’t built for it. Spoiler alert: I don’t know whether the shift toward AI therapy is good or bad. The evidence isn’t there yet. But I do know it’s already happening, and I have some ideas about how we can roll it out with safety in mind. The therapy dilemma, in a nutshell Mental health challenges are common, and strain health and well-being across populations. Therapy (interactive dialogue with a trained, empathetic practitioner) helps many people heal. The demand for licensed therapists far exceeds the supply in California, and AI-based therapy can narrow that gap. AI-based therapy remains novel, unproven, and not well tested. Right off the bat, we can see we’re dealing with trade-offs here. Since the main driver of demand for therapy from a robot is lack of access to therapy from a human, we’ll start there. It’s too hard to find and afford a human therapist California is short roughly 55,000 licensed, non-prescribing therapists and counselors, about 40% of what we need. Psychiatrists, who rely on talk therapy as a complement to prescribed medications, are even more scarce. Eight counties have none, and density ranges from 1.7 per 100,000 residents in San Benito County, to 68.1 in Marin County. My wife is a psychiatrist in Marin, and even here access is tight. If it’s hard in the best-supplied county, imagine rural Sierra County, or the San Joaquin Valley. In 2024, more than half of Californians who tried to make a mental health appointment struggled to find a provider who took their insurance, compared with 14% for physical health care. When Senate staff posed as “secret shopper” patients and called 120 mental health providers in Medicare Advantage networks, they landed an appointment less than once for every five tries. Insurers pay behavioral health clinicians about 22% less than medical and surgical clinicians for comparable office visits. On top of that, billing denials and prior authorizations hit hardest at the solo and small practices common in mental health. Psychiatrists opt out of Medicare at the highest rate of any specialty. In many places, a cash practice for therapy fills quickly with patients paying $250 or more an hour, with no insurance paperwork at all. Families who can pay cash find providers more easily. Those who rely on insurance, including Medi-Cal enrollees, older adults, rural residents, and non-English speakers, compete for what’s left. So we can’t pretend the human system works, and we can’t blame people for turning to AI for support when they’re in distress. AI is filling the gap It’s estimated that roughly a quarter of AI users use it for mental health support. If you have internet, it’s available 24/7, it’s cheap, and it speaks your language. Uninsured adults are about twice as likely as insured adults to do it (30% vs. 14%). It feels anonymous in ways that may enable people to ask things they’re unsure or embarrassed about. The largely hidden, personal use makes it hard to study whether it’s actually helping people with their mental health issues, but researchers are trying. Does AI therapy work? A 2026 analysis of nearly 40 randomized trials found chatbots showed a real but small reduction in depression symptoms. But most of these trials were compared to an alternative of no therapy, not a human therapist. So the benefit of AI therapy is probably real, but modest, and mostly untested against the alternative of human contact. We need more studies. Serious concerns OpenAI’s own estimate is that more than a million ChatGPT users each week show signs of suicidal planning or intent. These are high stakes encounters, and AI doesn’t always get it right. That’s partly because a chatbot can sound like a therapist, but it has no license, no duty of care, and it’s not clear who to hold accountable when it gets things wrong. AI is also designed to help users in whatever task they’re seeking to accomplish. People may feel like they’re getting therapy, but they’re mainly getting a convincing conversation. It’s easy for an AI companion to wander into gray areas, like playing along with “creative writing” that may be about the user’s own suicidal intent. Courts are driving safety conversations A wave of lawsuits have been filed on behalf of families claiming that chatbots pushed people they loved toward self-harm, including teens who died by suicide. The first settlements came this year. OpenAI is headquartered in San Francisco, and dozens of cases alleging that ChatGPT drove users to suicide or self-harm are now before a San Francisco judge. Character.ai has filed for bankruptcy after several states brought lawsuits accusing the chatbot of pushing dangerous content to kids. But the technology seems to be improving. Last month, an independent evaluation found that newer AI models “almost never endorse suicide.” That’s progress, but our societal appetite for even one preventable death is very low. So how do we move forward? Finding a middle ground Earlier this month the governor vetoed Senate Bill 903, a bill designed to place guardrails on the use of AI for therapy. The bill would have prohibited any AI-based platform from being advertised as psychotherapy, and would have required a licensed professional to review and approve each encounter where AI was used to support therapeutic decisions. Newsom called it overly broad, since even routine screening questions would have needed clinician sign-off. Knowing we’re already short on mental health providers, requiring human review of AI encounters may not relieve our access problems. Still, the answer isn’t no oversight. Here’s one feasible short term solution. Rather than reviewing each encounter, a licensed clinician can design the guardrails: what counts as a crisis, what triggers an immediate handoff to a human, and what gets sampled for audit each month. The AI runs inside that structure. Conversations get checked, failures get reported, and a real clinician owns the framework. Medicine already has models to learn from. The FDA process for rolling out newly approved medications is an example. After a product reaches patients, we keep watching for adverse events. Patient-facing AI needs the same “digital pharmacovigilance”: systematic tracking of harms, near misses, and the types of groups that get hurt and why. It’s also critical that users know that they can reach a human if they’re in crisis. Most chatbots now include messages like these: Bottom line The rush to use unproven AI tools for mental health support is mostly a workaround, a sign of a health system people can’t get into. We need better access to proven care from licensed clinicians. That takes reimbursement that makes accepting insurance viable, and a bigger workforce. But, built and tested well, AI could be part of the answer. It could be the 2 a.m. check-in when no one else is awake, or a way for patients to practice skills their therapist taught them. It could be the first step to get someone the right level of care, and take paperwork off clinicians’ plates so they spend more time with patients. None of this is simple. The SB 903 veto doesn’t end the debate, and the legislature will be back. In the meantime, those of us using these tools need to stay informed, ask hard questions, and hold the companies building them accountable. I’ll try to do my part, and we’ll keep learning together. Love,Matt P.S. If you or someone you know is struggling with mental health challenges, emotional distress, substance use problems, or just needs to talk, call or text 988- you’ll reach a real person— or chat at 988lifeline.org 24/7. Dr. Matt Willis is the author of Your Local Epidemiologist in California. A California native, he’s served as a primary care physician, CDC epidemiologist, and public health officer for Marin County, where he guided the pandemic response. He lives in Marin with his family and their dogs, Teddy and Ramona. Thank you Cynthia He, MD, PhD, and Parnika Saxena, MD, for their guidance in preparing this article. Cynthia works in an outpatient mental health clinic, treating patients who have Medi-Cal or, sometimes, no insurance. Parnika works in an inpatient psychiatric unit, treating patients with public or private insurance or self-pay ability. All opinions are their own and do not represent their employers.
ALTOUR Unveils ALTOUR iQ During Innovation Faceoff at Business Travel Show America 2026, Moving Business Travel Beyond Reporting to Decision Intelligence
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Why some Gen Z voters who backed Trump now regret their decision
A focus group of eight Gen Z Trump voters reported feeling unhappy or disappointed with the state of politics, with some going as far as to say they regret supporting him in 2024.
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