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White House Declares Increased Focus on Women’s Health in US
A newly erected Women’s Health Division within NIH will work in tandem with the Office of Research on Women’s Health.
Presbyterian Health Foundation raises its investment in OU Health center to $1M
Presbyterian Health Foundation increased its support for OU Health’s pediatric behavioral health center to $1 million ahead of its December opening.
Computer scientists build innovative tech tools to find experiments, detect citation 'hallucinations'
New York University computer scientists and students have developed a pair of web-hosted AI systems designed to increase the efficiency and accuracy of the research process—by spotting "hallucinations" ...
There’s a Reason That Netflix’s Ad Business Has Underwhelmed
Somewhat lost in the company’s slew of firings and engagement warnings over the past few weeks was the fact that Netflix is scaling back its ad forecast for 2026 from $3 billion to $2.7 billion. That’s despite the fact that: CTV is growing by 14-15% this year This year saw a monster upfront Netflix is the biggest streamer out there this side of YouTube, and was the platform that for years brands were supposedly dying to be a part of In other words, that’s an alarming pull-back from Netflix. A Wall Street analyst I spoke with last week was blunt, calling Netflix’s ad business “disappointing.” To me, a red flag on the ad front is that Netflix has never revealed how many ad-supported subscribers it has. Because if I know anything about how big companies work, if they have a positive number that makes them look really good - they tend to share it. (How many subs does go90 have right now? We’re not saying just yet. How are ads going on ChatGPT? Oh, a billion run rate - I see). Yes, to date Netflix has shared some fuzzy ad numbers, such as the idea that the company’s ad tier ‘reaches’ 250 million users globally.’ Here’s why that figure gives me pause: a)they lead with global, and b) they don’t explain how they are calculated. (Are they based on average people in each room? Surveys of some kind?). Regardless, some insiders say that Netflix’s ad tier is scaling nicely - others not so much. Either way, one of Netflix’s biggest challenge on the ad front appears to have been its starting point. Remember, when Netflix launched ads in 2022, it had 73 million subs in the US and Canada. That’s 73 million people who were used to Netflix with zero ads. And when the ad product rolled out, the company clearly was going after new users - a limited pool of potential subscribers by default. That focus seems to have changed over time, as Netflix has tried to convert longtime subscribers to the ad tier. Historically Netflix subscribers are very sticky. But is the company’s low churn a problem? Not necessarily, according to Antenna data. Rather, Netflix’s consumer loyalty is a bit of a double-edged sword. “Netflix is the one streamer which actually has seen substantial “trade downs” but has much lower ‘win backs,’ said Antenna founder Jonathan Carson (win-backs being people who were on the ad-free plan, cancelled, then rejoined on the ad plan). “Netflix has lower churn and so has less opportunity to win back old subs with a lower cost plan option.” This all might explain why Netflix has been so slow to roll out all of these table stakes targeting options until just this week. It likely didn’t have enough users to carve up into various targets. etc. However, what really hit Netflix’s ad business was Amazon’s move a few years ago to turn on advertising for Prime Video by default. Suddenly the market was awash in premium inventory, and Netflix was playing catch-up on multiple fronts. Thus, the streaming giant appears to still be figuring out if if wants lead in ‘programmatic TV,’ or premium ‘upfront’ TV sales. “The CTV market now sorts into three businesses, and Netflix is not the leader of any of them,” wrote analyst Jack Myers. Ouch. So how does Netflix ratchet up its ads business? Get the next NFL package You’re gonna have to wait until 2030 unless one of the bigger media companies like Skydance opts out, but the easiest (not cheapest) way for Netflix to become a huge TV ads contender is to get one of the regular NFL packages, ideally Sunday afternoons. That way it can sell ads to its whole U.S. subs base overnight. Go FAST This one is risky, because to program a compelling FAST channel, you’d likely have to take some older Netflix exclusive shows and make them available for free to non-subscribers. But FASTs, for better or worse, are ad-inventory machines. Go full UGC I’m not sure I see this happening. There is something already off about Netflix carrying podcasts and shows for creators. The experience sticks out in what is such a produced, and generally non-communal environment. But Netflix could open up its platform by allowing creators to upload videos without having to be approved by the service. But that opens a whole other can of worms (policing brand safety, copyright infringement, overall quality). Make a huge RMN Deal I was going to suggest something crazy, such as ‘instead of buying Warner Brothers, Netflix should buy Target. But the company doesn’t want to be in the brick and mortar business. Yet for Netflix’s ad business to compete in an Amazon world, it needs to be able to connect ad exposures to shopping. What if, instead of letting Amazon target Netflix viewers with its DSP, Netflix inked a deal with Target, or even took control of Roundel, and created its version of the Amazon full-funnel for brands? Price us out. I hope they don’t do this, but Netflix’s price increases - while significant - haven’t been enough to push long-term customers out of the ad-free tier. But if they made those prices so prohibitive, it could push large swaths of consumers to trade down. Then again, that could also dent engagement - as binging becomes much less appealing once you bring ads into the equation. Or, they could just launch a bunch of hit shows and maybe everyone will quickly forget all this angst. More from Amazon unBoxed A few weeks ago, I recorded two podcasts live at Amazon’s unBoxed event in San Francisco. I was able to go really deep with several brand partners about how Amazon’s various data and ad products work - particularly the under appreciated Amazon Marketing Cloud. First, I talked with Laura Abadias Velilla, of the Amazon specialty agency Amerge, along with Amazon’s own Charlotte Maines, Vice President, Devices Content & Advertising, about how the two partners helped a very specific printer company Epson launch into a brand new category - high end projectors. It’s a great example of how brands connect audience data across platforms to make budget deployment decisions. Next, I chatted with Monks VP Head of Digital Investment for North America Tom Burchill about how the agency actually brought in data from Linkedin to help target B2B customers across various Amazon properties for the brand Quicken. Check it out: Check these out, or just listen:
More Than a Charcuterie Board: A Mother and Daughter Build a Business Around Gathering.
The Bar Harbor Story is generously sponsored by Birch Bay Retirement Village. NORTHEAST HARBOR—Food’s ability to be a social cornerstone is one of the founding premises of one of Mount Desert Island’s newest, and perhaps most unique, endeavors in cuisine based catering. From intimate gatherings to large functions, Olive & Pearl creates charcuterie boards that can not only astound the tongue but also the eye. Many would agree that food can bring people together. In fact, culinary delights, and sometimes adventures, have been utilized as the centerpiece for social and business occasions of all kinds for centuries. Often times it even has the ability to start conversation, temper differences, and build new relationships. Settings can vary, from a multi-course sit down meal, a backyard barbecue, or a couple of bowls of chips and dip in front of a television, but the result can be the same. Humans come together, they share food, and the whole process is a catalyst for thought, communication, and a shared experience. Imagined and created by the mother and daughter team of Dr. Susan Scanlan (formerly MacCready) and Kayla Musetti, Olive & Pearl was started in June of this year and has been creating, delighting, and growing since. We gave the two an opportunity to answer some questions about themselves and their new venture. The love, passion, and pride for what they are doing and the fact that they are doing it as a mother and daughter team came through so strongly in their answers that we decided to present the question and answer session in its entirety. The Interview What did you do prior to Olive & Pearl? We’re a mother-daughter team, and food, family, and hospitality have always been a big part of our lives. Susan grew up in a large family in Pennsylvania, where the table was always at the center of everything. There were multiple dishes, little bites, stories, and plenty of conversation. Food was never simply about eating. It was about gathering, celebrating, and spending time together. After living in several Southern states, Susan relocated to Maine more than 20 years ago, and Maine has truly become home. She loves its sense of community, natural beauty, and connection to local food and makers. Professionally, Susan is a registered nurse and holds a doctorate in health administration. She has worked in a variety of clinical, nonclinical, and leadership roles and currently works as a faculty academic director. Building Olive & Pearl has been an exciting creative venture alongside her career. Kayla is also a registered nurse and works in the ambulatory surgery unit at Mount Desert Island Hospital. While healthcare is an important part of both of our professional lives, Olive & Pearl has given us an entirely different way to connect, collaborate, and create something together. Tell us about the business. Olive & Pearl is a mother-daughter charcuterie business centered around beautiful food, thoughtful presentation, and bringing people together. We create curated charcuterie boards designed for everything from intimate gatherings and dinner parties to weddings, showers, corporate events, boat days, and celebrations of all kinds. We think of our boards as more than food. They’re an experience and an invitation to gather, slow down, and enjoy time with the people around you. We’re intentional about quality ingredients, artful presentation, and personalization. Whenever possible, we also incorporate Maine-made and locally sourced products, including cheeses, jams, honey, seasonal produce, and baked goods. What inspired you to start Olive & Pearl? In many ways, Olive & Pearl grew out of something we had been doing our entire lives —bringing people together around food. We’ve always loved creating beautiful spreads for family and friends. There was something special about watching people gather around a table, graze, talk, laugh, and simply enjoy being together. Friends and family began telling us, “You should do this as a business,” and one day, we stopped laughing it off and started mapping it out. We realized we had an opportunity to combine our different strengths and create something that reflected what we both value: hospitality, creativity, quality, and connection. Charcuterie felt like the perfect expression of that. It’s beautiful and creative, but it’s also communal and approachable. At its heart, it brings us right back to where the idea began, a table filled with food and people gathered around it. Do you have a business partner(s)? Our business partner is each other! Olive & Pearl is truly a mother-daughter partnership, and building it together has been incredibly meaningful and sometimes hilarious! We know each other extremely well, which can be both a strength and, occasionally, a challenge. We have different personalities and strengths, but we’ve learned to lean into those differences and use them to our advantage. There’s a lot of trust between us, and we’ve learned how to communicate, collaborate, and occasionally laugh at ourselves along the way. We’re also building Olive & Pearl while continuing our careers in healthcare and education, so we’re taking things thoughtfully and growing the business one step at a time. We all have to start somewhere. One of the most rewarding parts has been having something that belongs to both of us. We get to learn from one another, celebrate the small wins together, and create something that we hope will become part of our family’s story for years to come. When exactly did you launch the business? Recently, in June 2026, we launched Olive & Pearl, turning an idea we had talked about for years into real business. It has been incredibly rewarding to watch something that started around our own family table and begin to find a place within the community. How is it going so far? How do you feel it has been received? It has been going very well, and we’ve been incredibly encouraged by how warmly Olive & Pearl has been received. As more people hear about us, our orders have continued to increase, and we’re seeing growing interest in boards for events and celebrations. It’s exciting to watch something that began as an idea between the two of us start to grow within the community. One of the most rewarding parts is hearing from customers after their events or seeing photos of our boards being enjoyed. Knowing that something we created became part of someone’s celebration is incredibly meaningful to us. Is there a brick-and-mortar location or is it all online? Olive & Pearl is currently an online business. We’re intentionally starting this way so we can build relationships with our customers, learn what they love, and grow thoughtfully. Our long-term dream, if the business continues to grow, is to eventually have a sit-down space where people can experience Olive & Pearl in person. Do you have any future plans if things go well/keep going well? Absolutely. For now, our focus is on continuing to grow Olive & Pearl, getting to know our customers, and becoming part of more celebrations and gatherings throughout the area. Long term, we would love to have our own physical space where people can come together and experience Olive & Pearl beyond the boards themselves. We can imagine a place that combines food, hospitality, creativity, and community. Ultimately, we want to build something that continues to grow while still feeling personal and connected to the people and community around us. Is there an aspect of the business that you really love? There are so many things we love about it, but the people and the connection are probably at the top of the list. We love creating something beautiful, but what really matters to us is what happens after we hand it over to the customer. We picture our boards on kitchen islands, at backyard gatherings, on boats, at weddings, or around a long dinner table—with people laughing, talking, and lingering a little longer. We also love the creative side. Every board is an opportunity to play with color, texture, shape, seasonality, and flavor. We don’t just want to fill a board, we want to curate an experience. And supporting local makers is especially meaningful to us. Whenever possible, we love incorporating Maine-made cheeses, local jams and honey, seasonal produce, and products from nearby bakeries and businesses. It allows us to showcase some of what makes Maine so special. Perhaps most importantly, we love doing this together. Building something as a mother and daughter has given us another way to spend time together, learn from one another, celebrate small wins, and create memories. Is there anything regarding any aspect of Olive & Pearl that you may think is important that is not reflected on the website? One thing that may not always come through online is just how personal this business is to us. Olive & Pearl isn’t something we created simply because charcuterie was popular. It grew very naturally from our family, our traditions, and the way we’ve always enjoyed gathering with people we love. There is a lot of heart behind every board. We think about the people who will be enjoying it, the occasion they’re celebrating, and how we can make the experience feel special. We also want people to know that we care deeply about supporting locals whenever possible. Using Maine products isn’t just about sourcing ingredients, it’s about telling a little story about where we live and the talented people who make and grow wonderful things here. Is there anything that we have not asked that you think is important/relevant that would like readers to know? We hope people see Olive & Pearl as more than just a charcuterie business. At its heart, it’s about gathering. Our goal is to make it easier for people to create those moments when everyone gathers around the table, conversations last a little longer, and people simply enjoy being together. We also hope people see the mother-daughter story behind the business. We’re building Olive & Pearl alongside our careers, one step at a time, and there is something incredibly special about creating a shared family legacy in the process. For us, success isn’t just about how many boards we make. It’s about becoming part of people’s special moments - birthdays, weddings, weekends with friends, quiet evenings at home, or a beautiful day on the Maine coast. If one of our boards helps people put down their phones, linger a little longer, laugh a little more, and enjoy the people around them, then we feel like we’ve done exactly what we set out to do. All photos courtesy of Olive & Pearl. LINKS TO LEARN MORE Olive & Pearl website Olive & Pearl Facebook Olive & Pearl Instagram RECENT PRESS RELEASES AND BRIEFS To see all the press releases, click here. To see our news, click here. For the full archive, click here. All of these are on our dedicated website. 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Oct 22 ](https://barharborstory.substack.com/p/explore-career-opportunities-where) [ Read full story ](https://barharborstory.substack.com/p/explore-career-opportunities-where) [ Cranberry Isles Comprehensive Plan Committee Oct 22 ](https://barharborstory.substack.com/p/cranberry-isles-comprehensive-plan) [ Read full story ](https://barharborstory.substack.com/p/cranberry-isles-comprehensive-plan) [ ](https://barharborstory.substack.com/p/community-school-hosts-a-pancake) [ Community School Hosts a Pancake Breakfast Fundraiser October 25! Oct 22 ](https://barharborstory.substack.com/p/community-school-hosts-a-pancake) [ Read full story ](https://barharborstory.substack.com/p/community-school-hosts-a-pancake) HELP SUPPORT THE BAR HARBOR STORY When we started The Bar Harbor Story, we didn’t know if anyone would read it. But you showed up. You shared. You sent tips. Now—over 400,000 views every month later—it’s clear: people here care about their community and each other. 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Want to Increase Your Child's Self-Confidence and Resilience? Science Says First Focus on Their Islands of Competence
Before you give constructive feedback, make sure you've built a base of affirmation and praise.
Opportunity profile: Moving regulatory science forward
Future thinking and collaboration are key in a £20 million call for centres of excellence
Flu cases rise early in El Paso County as public health officials monitor respiratory illnesses
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Social determinants of health may increase kidney failure risk after critical illness
New research indicates that certain individual- and neighborhood-level social determinants of health may increase the risk of developing post-discharge kidney failure in patients who developed acute kidney injury while in intensive care.
The percentage of people without health insurance is growing
The percentage of working-age adults without health insurance has increased in the past two years, largely because many people can no longer afford Obamacare coverage after Congress allowed federal subsidies to expire at the end of last year. The uninsured rate for adults ages 19-64 rose to 11.2% this year, up from 8.9% in 2024, […]
Cost of employer-sponsored health insurance plans rises again, nonpartisan survey finds
The price health insurance companies charge for employer-sponsored plans increased again this year, as did the deductible many people must pay before those plans begin covering most healthcare costs, according to a survey released Thursday by the nonpartisan health organization KFF.
Roger Goodell says an increase in penalties is not a reflection on the NFL's officials
NBCUniversal's Home Entertainment, Live Plays Business Segment Sees 12.7% Q3 Revenue Decline
NBCUniversal’s studios’ “other” business segment, which includes home entertainment, live plays and third-party content distribution, reported revenue of $285 million, down 12.7% from revenue of $326 million in the previous-year period. Top-selling titles in the quarter included Obsession, Disclosure Day and The Super Mario Galaxy Movie, among others. Overall studios segment operating income increased 18.6% … Continue reading "NBCUniversal’s Home Entertainment, Live Plays Business Segment Sees 12.7% Q3 Revenue Decline"
Irondale cuts fire protection water bills after businesses report massive rate increases
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Health insurance costs continue rising for American workers, new survey finds
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New Mexico Dept. of Health: Respiratory diseases on the rise across state
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Marvel's Wolverine leads US September charts, achieves highest monthly dollar sales for a Sony-published title since Helldivers 2
PlayStation 5 spending rose 43% year over year, while unit sales increased 22%
State allocates $32M in ongoing effort to boost healthcare workforce
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Here's why a family health insurance plan costs more than $28,000
The average family health insurance plan offered through an employer cost $28,303 this year, an increase of 5% from a year ago, according to KFF.
Employers Shift Rising Health Care Costs Onto Millions of Workers
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Tracking tsunamis triggered by extreme weather
As much of Western Europe faced record-breaking temperatures and extended drought this summer, Croatia experienced another weather event that could also set a worrisome precedent.Over the course of two weeks, a series of meteorological tsunamis (meteotsunamis) struck Croatia’s Adriatic coast, alarming both residents and tourists. Social media posts showed flooded seaside promenades and people walking through knee-deep water. Fortunately, no deaths or major damage were reported.In a world where natural disasters seem to be increasing, meteotsunamis — tsunamis caused by rapid weather changes – rarely make headline news. But warming sea temperatures and changing atmospheric conditions may help explain why these phenomena could become more common, especially in shallower seas and inland lakes with wide coastal shelves.“We have definitely become more aware of them, and there have been a lot more reports of these events in the last 10 years,” says Jadranka Šepić, an associate professor of environmental physics at the University of Split whose research focuses on efforts to track meteotsunamis in real time. She is also one of Croatia’s ambassadors for Science Comes to Town (SCTT), a European Commission-funded programme aimed at making research more accessible to the public.Šepić sees two possible reasons for the apparent increase in meteotsunamis. One is that photos and videos shared on social media are providing more empirical evidence, while rising air and sea temperatures could also play a role. The geophysicist “cannot say with certainty” that warming is a contributing factor because research is still ongoing. “But I can say that previously in Croatia we might have had one exceptionally strong event every 10 or 15 years, and one strong event every five years, and within 15 days this summer we had five strong events,” Šepić notes. “This is not typical.”‘A fist against the sea surface’Unlike tsunamis that are triggered by underwater earthquakes or volcanoes, meteotsunamis are caused by sudden changes in atmospheric pressure combined with other rapidly developing weather events, such as thunderstorms. The effect “is like pushing a fist against the sea surface,” Šepić explains. The resulting oscillation intensifies as it reaches shallower water, and “can be far more destructive than a wind-driven wave because meteotsunamis are accompanied by very strong currents than can penetrate much deeper inland.” The meteotsunami, she continues, “then behaves the same as a tsunami — they slow down and grow as the sea shallows, and then grow further in places like harbours due to further shallowing and narrowing. When they come ashore, they can be very destructive — taking everything with them out to sea and then taking it back.”Croatian research institutions have tracked such sea oscillations since the 1930s because the relatively shallow Adriatic Sea is prone to meteotsunamis. The strongest recorded so far was in June 1978, according to the Adriatic Meteotsunami Catalogue, which is supported by the European Research Council (ERC), Croatian Science Foundation and the country’s leading research institutions. During that event, six-metre-high waves flooded the coastal town of Vela Luka on Korčula Island, causing major damage.Other meteotsunami “hotspots” in Europe include the Mediterranean Sea as well the Atlantic coastal shelves off France, Portugal and Spain. In June 2006, a meteotsunami with five-metre-high waves swept through the harbour of Ciutadella in Spain’s Balearic Islands, causing widespread damage to boats. Several less powerful events were reported in the Balearics and off the coast of Spain this summer, leading to some beach closures.Forecasting is challenging because of how quickly meteotsunamis can develop and their uncertain trajectory. Šepić is involved in two ERC-funded research projects — SHExtreme and MeD-Track — aimed in part at strengthening monitoring and real-time data collection. Access to accurate and immediate information is essential for early-warning systems.Early exposure to meteotsunamisŠepić first learned about meteotsunamis from her parents while growing up in Croatia. She later had the opportunity to investigate these events during her master and doctoral studies in geophysics at the University of Zagreb. The geophysicist has also conducted research at the Institute of Oceanography and Fisheries in Split, the University of the Balearic Islands in Palma de Mallorca and the Institute of Ocean Science in the Canadian province of British Columbia.Projects like SCTT are important to raise awareness about research and inspiring young people to pursue studies and careers in science, notes Šepić. She credits her colleagues at the University of Split and the Institute of Oceanography and Fisheries for their community outreach and engagement in the European project, which includes partner universities and institutions in Brest (France) and Kiel (Germany). As an example of town-gown collaboration, Šepić highlights her own university’s ‘Oceanographers on the Island’ programme. This initiative offers workshops and hands-on learning for children living on numerous Croatian islands.“It is a great privilege for Split to be involved in a project like Science Comes to Town, which is the first of its kind in the European Union," Šepić says. As for encouraging new generations of scientists, “This is a great effort, and I hope that we will see an effect in a few years.”Science|Business, which connects policymakers, academics and industry through its news reporting, analysis and events, is an SCTT partner.
'All of us have a role in prevention,' health official says as South Dakota suicide numbers rise
The number of South Dakotans who died by suicide increased to 214 in 2025, according to new state data.
Does Blade Tidwell Have a Future With the Giants?
San Francisco Giants right-hander Blade Tidwell saw an increase in opportunities in 2026, but has he done enough to be a part of the team's future plans?
Preparing for cascading climate risks
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Oregon to increase 2027 payments to care organizations for Health Plan members
Next year, Oregon will pay an average of nearly $630 more per member every month to the organizations arranging providers for the vast majority of Oregon’s 1.4 million Medicaid members […]
Reno + Sparks Chamber announces Latino Business Council launching in 2027
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Elevance Health Shares Rise as Third-Quarter Earnings Beat Estimates and 2026 Guidance Increases
Elevance Health Inc. (NYSE:ELV) shares advanced 1.
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Twin County Regional Healthcare responding to increased volume of patients related to community incident Tuesday night
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UCLA experts give warnings about declining vaccination rates
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Local Coca-Cola workers strike over low wages, increased health insurance costs
Oregon to increase 2027 payments to care organizations for Health Plan members
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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.
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Plague is stoppable. The next health threat may not be.
The word plague is scary. Centuries ago, the Black Death killed tens of millions of people and changed the course of history. Plague still kills people around the world, and the word still evokes catastrophe. New fears of plague surfaced on October 2, when a lab worker in Irkutsk, Russia, died of pneumonia. Reports suggested that she may have contracted plague through a laboratory exposure. Understandably, people were alarmed. On October 7, the World Health Organization called for the Russian Federation to be transparent about what it knew. WHO issued an update on October 10. Russian authorities told WHO that testing did not identify plague and that investigations found no laboratory release. WHO said confidence in its risk assessment remained limited and that further clinical, epidemiological, and laboratory information was needed. The cause of the woman’s illness remains unknown, and WHO says a laboratory-associated exposure cannot be excluded. As I explained in a recent interview, this incident is very unlikely to lead to a pandemic. Plague is still active, including in the U.S., which sees a handful of cases each year. But it is a disease we can prevent and treat. Plague doesn’t spread readily, and it responds to antibiotics. The standard response—isolate the patient, trace contacts, and administer antibiotics and monitor for symptoms among contacts for seven days—works. We have even planned for antibiotic-resistant plague. At CDC, we developed a playbook for antibiotic-resistant plague and ran exercises on how to find and stop it. CDC guidance anticipates engineered resistance and recommends two different classes of antibiotics if there’s reason to suspect it. There is no evidence that resistance—or even confirmed plague—is involved in this incident. We have thought through how to address plague, but we’re not ready for the next major health threat that emerges from a lab or from animal spillover to humans. What should concern people is how little stands between the world and the next pathogen to get loose. Since peak COVID, epidemic preparedness has fallen off the political agenda, but the risk is greater than ever. More labs handle dangerous pathogens with more ways to make those pathogens deadlier, and more people live and work in close contact with animals. There are actions we can take now: We need better lab safety in every country. The number of labs that work with dangerous pathogens has increased worldwide over two decades, but there’s no enforceable international standard and no inspection regime; the Biological Weapons Convention, fifty years on, still has no verification mechanism. Labs that study dangerous germs need strong safety systems, training, and oversight. We need to reduce spillover events. Three in four emerging human infections start in animals, and there’s a lot we can do to reduce spillover risk, but the world is doing very little of it. Live-animal markets are one place to act. For instance, closing live-bird markets helped control H7N9 influenza in China. Reducing opportunities for people to encounter infected animals can prevent infections before they become outbreaks. In The Formula for Better Health, which is now out in paperback along with the hardcover, Kindle, and audiobook versions, I argue that labs do too many risky experiments with too many dangerous pathogens in too many institutions, and that every experiment should first answer one basic question: Is the likely benefit greater than the risk? Spillover risk can also be reduced: In the book, I discuss how Brazil cut its deforestation rate by 70% from 2004 to 2012 while increasing agricultural production and reducing risky contact between people and forest animals. We need faster detection and response. Delay costs lives. Strong surveillance, good labs, and trained responders can turn a single case into a small cluster of infections instead of an epidemic. Resolve to Save Lives has worked for nearly a decade to help countries find and stop outbreaks faster. The 7-1-7 target, which Resolve to Save Lives developed with partners in Uganda and elsewhere, provides a clear standard: detect within 7 days, notify within 1 day and complete all essential early response actions within 7 days. In Uganda’s Kasese district, for example, a review of a measles outbreak using 7-1-7 identified shortages of accessible funds, fuel, and vehicles that delayed the response. District leaders established funds they could access quickly. When, a few months later, the Crimean-Congo hemorrhagic fever appeared, the district detected it in three days, notified authorities in one, and mounted an effective response in two. Only one case was confirmed, and the patient survived. Because funds were available before the emergency, authorities were prepared and able to act. This kind of preparation can’t wait until the next crisis begins. Plague is an old disease we that know how to stop. The next threat may be harder to recognize, harder to treat, and easier to spread. Safer labs, less risk of spillover, and faster outbreak detection and response need sustained investment now, while we still have time to prevent the next emergency. Share
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It was also decried by the four pro-European political groups in the European Parliament. “How can Europe close its competitiveness gap while cutting the European Competitiveness Fund by 13% and Horizon Europe by nearly 10%?” asked a joint statement by the European People’s Party (EPP), Renew Europe, the Socialists and Democrats and the Greens/European Free Alliance. Together, these parties hold 63% of seats in the Parliament.In stark contrast, Irish foreign affairs minister Helen McEntee said that the proposal “significantly increases investment in competitiveness, research and innovation,” Meanwhile, a presidency press release said that, compared to the current Multiannual Financial Framework (MFF), the proposal would “double the volume of competitiveness related programmes.” So, who is right? That depends on how you make the calculation.Compared to the Commission figure or the previous budget?The first thing to notice is the difference in baselines. When the MEPs say the Irish presidency will cut Horizon Europe by “nearly 10%” they are using the European Commission proposal for the MFF from July 2025, which allocated €175 billion in current prices to Horizon Europe. However, when the Irish foreign affairs minister said the research and competitiveness budget is increasing significantly, she is comparing it to the 2021-27 MFF, which had a Horizon Europe budget of €84.9 billion in 2018 prices.Her point holds when accounting for inflation. Applying a 2% annual inflation rate, the calculation method used by the Commission, the 2021-27 Horizon Europe would have a budget of €97.5 billion in 2025 prices. In comparison, the Irish presidency’s €158 billion figure in current prices translates to €140 billion in 2025 prices. Does the ECF count?But there is more to the dispute. In its statements, the Irish presidency lumped the research budget in with the overall budget for competitiveness. The Parliament statement, however, kept the two separate. This matters because the next MFF includes plans to add a new European Competitiveness Fund (ECF) to fund programmes meant to boost the continent's competitiveness. The Irish negotiating box allocated €245 billion in current prices to this programme.When this is added to the €158 billion for Horizon Europe, as well as programmes such as the EU education programme Erasmus+, the total for “competitiveness, prosperity and security” in the Irish proposal becomes €514 billion in current prices. But it is still uncertain how big a share of this competitiveness budget would go to research. The Commission proposal of July 2025 for the MFF included clear links between the ECF and Horizon Europe, indicating some ECF money will go to research. At the same time, the structure of the ECF is still being negotiated, and a substantial part of its budget is expected to support non-research activities such as defence manufacturing, decarbonisation and digital infrastructure. Related articlesCouncil floats 9.6% budget cut to next Horizon EuropeResearch community to appeal to national governments over planned EU budget cutEU own resources ‘essential’ for future research budget, says leading MEPSo, it is by looking at competitiveness rather than research, or combining the two, that the Irish presidency can claim that its proposed budget will significantly increase investment in competitiveness, research and innovation.According to the Irish presidency proposal, Horizon Europe and other competitiveness-related programmes in the current multiannual budget received €221 billion in current prices. However, since this money is being distributed from 2021 to 2027, it is not directly comparable to the €514 billion in current prices which will be distributed from 2028 to 2034.Research as a proportion of the MFFBut the relative rise in competitiveness-related programmes points to another important distinction: whether you look at the research budget in absolute terms or as a share of the overall MFF. Here, too, the size of the research budget has risen, although only slightly. In the 2021-27 MFF, Horizon Europe accounted for 7% of the total budget. In the Irish presidency’s proposal, it amounts to 8.7%. The share for the total competitiveness envelope went from 17.7% in the current MFF to 28.1% in the Irish presidency proposal.This proportional share may seem irrelevant to universities looking for research funding, but it is becoming significant as budget negotiations between the Parliament, the Commission and the Council begin. 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