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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.
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.
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
Lionel Messi makes MLS history in latest Inter Miami masterpiece
By Jaime UribarriTo watch Lionel Messi with Inter Miami CF is to watch history unfold in real time.Case in point: Matchday 31’s Walmart Saturday Showdown.Messi scored a pair of highlight-reel goals ...
Campus Creamery’s new owners are learning business in real time
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Your Business Probably Has More Data Than Insight by Nathan Tayloe
Most businesses know more about themselves than they ever have. Leaders have access to financial reports, sales pipelines, customer data, employee metrics, website analytics, and dashboards for almost every part of the organization. CRMs track every stage of the sales process. Marketing platforms report results in real time. AI can analyze and summarize enormous amounts of information in seconds. Yet I've sat in plenty of meetings where all of that information is available, and some of the most important questions are still surprisingly difficult to answer. What's actually working? Why are customers choosing us? Where are we losing opportunities? What should we do differently? Having the data and understanding what it means are two very different things. More Information Doesn't Always Create More Clarity Over the past decade, businesses have invested heavily in visibility, and that's a good thing. We can understand performance with a level of detail that would have been unimaginable not long ago. But there's an unintended consequence. The easier something becomes to measure, the easier it is to assume it must be important. Website traffic goes up, so that looks positive. Leads increase, so marketing appears to be working. Sales activity climbs, so the pipeline looks healthy. Maybe. The numbers tell us what happened. Understanding why it happened, whether it matters, and what we should do next still requires judgment. Not Everything That Matters Fits on a Dashboard Consider a customer who ultimately contacts your company through Google. The data may attribute that lead to search. What it may not show is that the customer heard about you from a colleague six months earlier, saw your company mentioned in an industry publication, followed one of your employees on LinkedIn, and read several reviews before finally searching for your company. Google may have produced the click. It didn't necessarily create the decision. This happens throughout a business. Some of the things that matter most are difficult to reduce to a single metric: Why your best customers stay Why talented employees choose your company Why a prospect trusts one provider over another Why one service is gaining momentum while another isn't Why the market perceives your business the way it does Data can help answer those questions, but it needs context. Better Decisions Start With Better Questions One of the easiest traps for leaders is starting with the information in front of them rather than the decision they're trying to make. Instead of opening a dashboard and asking, "What does the data show?" it can be more useful to start with a different set of questions: What are we trying to understand? What decision are we trying to make? What would we need to know to make that decision confidently? That changes the role of data. Instead of looking at every number available and searching for meaning, you're using information to understand something specific about the business. Information Still Requires Judgment More sophisticated analytics and AI will continue to give leaders access to better information, faster. That's valuable, but I don't think it reduces the importance of experience and judgment. If anything, it increases it. Someone still has to decide which numbers deserve attention, which patterns matter, what context might be missing, and when the data isn't telling the whole story. The goal isn't to know more about your business simply because you can. It's to understand your business well enough to make better decisions. Good data can tell you what happened. Good leadership has to decide what it means. — Learn more about how we help organizations turn business, customer, and marketing insights into smarter strategies at tayloegray.com, or reach out directly at nathan@tayloegray.com.
Ubisoft plans cuts at German studios, adding to wave of workforce reductions
Ubisoft is planning to reduce its workforce in Germany, where it operates a trio of studios, by about 100 workers, Game File has learned. The company wants to offer employees buyouts to, should enough people accept, avoid having to lay anyone off. “In Germany, we initiated discussions with the Works Council last week regarding a proposed voluntary departure plan across Ubisoft Dusseldorf, Ubisoft Berlin & Ubisoft Mainz,” a company rep told Game File. A “works council” is a union-like group representing employees. “The voluntary plan is the primary measure being proposed to support the intended organizational changes,” the Ubisoft rep added. The company declined to confirm the scale of the potential headcount cut. Of the impacted studios, Mainz might be the best known to the public. It leads development of the Anno series and shipped the well-reviewed strategy game Anno 117: Pax Romana in November 2025. Berlin and Dusseldorf operate as support studios within Ubisoft’s creative network. Berlin recently supported the development of Rainbow Six Siege and the Rayman Legends Retold remake. Dusseldorf also contributed to those projects, as well as The Settlers and Ubisoft-branded escape rooms. Dusseldorf is the biggest of the three studios, with some 400+ workers, compared to just over 100 at the other two, a source familiar with the reductions and the teams told Game File. More than half of these new reductions of about 100 people are expected to happen at Dusseldorf. The planned cuts were announced at a town hall for the German studios on Tuesday of last week. In an email follow-up, the studio group’s managing director, Benedikt Grindel, said the cuts were intended to “best position our German studios for the future... with a clearer focus on their role, capabilities and organizational setup needed for the work ahead.” The email was an echo of the past. In January 2025, Grindel had emailed the Ubisoft developers in his region (or studio “zone”) to explain that a round of 185 cuts at the time, including about 65 at Dusseldorf, were “essential to improve our operational efficiency and ensure the long-term sustainability of our studios, the zone and the company.” A half-decade of continued job cuts Ubisoft has been aggressively cutting its headcount for years. At the end of September 2022, it had 20,729 workers. By the end of March 2026, that total was down to 16,590. Studio management is trying to trim costs as it grapples with a changing industry and a drought of releases, let alone hits. The company announced earlier this year that it had reduced its costs since 2022 by “nearly €325 million” ($362m) and planned to lower them through 2028 by another €180 million ($200m). In June the company said it was closing down its Winnipeg and Belgrade studios and cutting roles in its Barcelona team. Even commercial and creative success hasn’t spared studios from this ongoing company-wide contraction. As Game File was nailing down details around the proposed cuts in Germany, Ubisoft management was informing workers of cuts in its Singapore studio, which shipped a hit remake of Assassin’s Creed IV: Black Flag this past July. Some 70 positions in Singapore are being eliminated “to align the studio with upcoming production needs,” per a company rep’s statement to Game File. In early 2024, a large team in the Singapore studio launched the multiplayer pirate game Skull & Bones. It performed poorly but has been supported with regular content updates since. Many of Ubisoft’s studios around the world are heavily subsidized via regional grants and tax breaks. Singapore had been among them for years, but received no such local assistance in the 12 months ending this past March. News of the Singapore cuts broke today alongside word that Ubisoft is also proposing the closure of RedLynx, pending negotiations with officials. The Finnish studio behind the motorbike series Trials was founded in 2000 and sold to Ubisoft in 2011. As reported by VGC (and corroborated by Game File), Ubisoft management told employees it could not come up with a new, sustainable assignment for RedLynx. The 2025 workforce at Ubisoft Dusseldorf were straight-up cuts. This time, Ubisoft is hoping the reductions at its trio of German studios will largely come from workers taking a payout to leave. The company offered such voluntary dismissals at its Massive Entertainment studio (The Division) a year ago. For the German studios’ buyouts this time around, Ubisoft and the Works Council had discussed a formula that’d pay a worker’s monthly salary multiplied by 1.5 and by the number of years they’ve worked at the company, according to Game File sources. The formula is still subject to negotiations with the Works Council and has not yet been part of an official offer to workers. It could be adjusted up or down, and it could be supplemented with additional bonuses. Asked about the floated payout formula, a Ubisoft rep told Game File, “The terms of a potential voluntary departure program remain subject to negotiation with employee representatives. No final agreement has been reached, and we won’t comment on specific proposals while discussions are ongoing.” Game File is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe Item 2: Epic’s AI adventures Epic Games (Fortnite, the Unreal engine) is all-in on using AI to try to transform the way it makes video games and game-making tools. It’s leaders appear to be undeterred by any resistance among gamers and some game developers around generative AI—and instead emboldened by advances, particularly in AI-assisted programming. A recap of the last three days: On Monday, Bloomberg reported that Epic management told workers last week that development of an upcoming game combining Star Wars and Marvel characters would be “AI first.” Employees would be expected to use AI models such as Claude to code the game. A manager told Epic’s developers there would be “[n]o more hand-written code” and that art for the game would be “generated with full AI workflows,” per the outlet. Just ahead of that story running, Epic founder Tim Sweeney tweeted: “We have a huge pivot underway here at Epic, moving developers around to retool for maximum AI acceleration. The aim isn’t to do the same stuff with fewer people, but to enable everyone here to build MORE and BETTER stuff, and to bring the benefits to all teams using Unreal.” In a follow-up, Sweeney predicted that most game development processes would be at least three times faster a year from now than they were in January 2026, thanks to AI. To a person on X who told him he was failing to read the room, Sweeney said: “Much of the room wants it to be 2016 again, but it’s not. Our job, as the provider of tools and technology to much of the industry, is to design for the present that is and the future that will soon be.” On Wednesday, Epic announced it was releasing a faster launcher for its Epic Games Store marketplace. It did so by stating in a blog post as clear as could be that the launcher is an AI-enabled, vibe-coded project: Programming is hard. So, instead of doing that, we vibe coded a new Epic Games Launcher that’s way faster and more responsive than the current one, and has a new look. Programming is hard? That was unexpected phrasing from a company founded by a legendarily great programmer. Back in 2011, Sweeney told me that he’d picked up programming quickly as a kid and rejoiced at the power it gave him. “I could look at any program that anybody else had written and, with enough effort, build something cooler.” Item 3: The Xbox Labs experiment (and one of the people behind it) Microsoft’s Xbox division, which is flooding the zone with announcements lately, yesterday revealed a new internal tech-tinkering team called Xbox Labs. In the words of Xbox boss Asha Sharma Labs is “a small group of game makers, engineers and scientists whose job is to turn emerging ideas into things our players and developers can experience.” Conventional wisdom coming out of the announcement is that Labs is a team that’ll focus on ideas driven by generative AI. In her announcement, Sharma cited some of the dizzying achievements in tech and gaming over the past month as AI agents and other AI tools have been deployed to swiftly figure out how popular games work, then rebuild them and mix them up. She mentioned seeing ”games rapidly decompiled and rebuilt to run on hardware they were never originally designed to support” and said “[p]erhaps more surprisingly, we’ve seen many of the biggest games in the world have been remixed into the source code of another.” (Minecraft plus Elden Ring, for example, or Fortnite + Super Monkey Ball + Overwatch + Diablo + others.) Sharma also cited the work of Windows PC games being ported to run in browsers, a seeming reference to a recent AI-assisted fan port of Halo. Or perhaps Call of Duty or GTA. Sharma didn’t use the specific term “AI” in her memo, but she came close, citing AI “agents” and their potential for game-making tools that Labs could help craft: I think XBOX has an important role to play here. Coding became the first major workload for agents because they can write, run, and test software. Games share many of those same properties, and people spend more than 72 billion hours a year playing XBOX games, roughly five times the estimated time spent writing code worldwide. We’ve spent 25 years learning how to make great games, and I want our game makers to help shape what these new technologies make possible. As we learn, we’ll share the tools we build with developers across the industry, just as we always have. When I asked an Xbox rep if Labs was an AI-centric team, they said genAI was not the focus, describing it as having a broader mandate for using new tech in new ways in gaming. As an example, they pointed to Xbox’s recently launched disc-to-digital gaming usage rights program. Microsoft didn’t specifically name anyone involved full-time in Xbox Labs yesterday, but on social media and LinkedIn, I spotted Adrian Mato IDing himself as leading the creatio of tools at Labs and talking up the launch. Mato first caught my attention in late September, when he said on X that he was “starting to build a new team at Xbox focused on products and tools for how games get built and distributed as agentic tools become more capable.” At the time, he framed AI-based tools as a supplement to traditional game dev tools. “I don’t think we need to replace them,” he said. Since then, he’s publicly shown interest in AI and in games. He’s recently spent some of his X feed marveling at the power of AI agents and praising the lighting in the latest Gears of War. Following the Labs announcement yesterday, he enthused about the Xbox Labs’ stylish landing page. He wrote: “We built some fun tools to art-direct shaders in real time, experimented with interactive ASCII art, and sprinkled in lots of tiny details. “Move your mouse to leave a colorful trail that reveals the original footage, or interact with the video to trigger bursts of particles. “A lot of love went into making it all feel just right. “More to come”
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The Not-So-Secret Winner in Netflix and YouTube’s Streaming Wars Battle
(Welcome to the “Most Important Story of the Week”, my bi-weekly strategy column analyzing the most important (but often not buzziest) news story of the last two weeks. I’m the Entertainment Strategy Guy, a former streaming executive who now analyzes business strategy in the entertainment industry. Please subscribe.) Here’s a good piece of advice: when someone tells you a company has “won” the streaming wars, just assume they haven’t. Remember the narratives about the streaming media over the last few years: 2024 - Netflix has won the streaming wars! 2025 - YouTube has won the streaming wars! Yet…in 2026, I’d categorize it as… 2026 - Netflix and YouTube are battling for talent! Netflix and YouTube are aggressively fighting for top creators, marking a fierce new battle in the streaming wars. For two companies that “won”, that certainly doesn’t seem like winning behavior. If you win, you don’t have to fight for talent, because talent has to come to you. This is a good reminder that, if the streaming wars are a war—and I think they are—we should know what type of war they are. So it’s worth revisiting one of my big theories of the streaming wars, that the war these battles most represent is… The Thirty Years’ War1 I prefer this war to other, simpler wars, because, while it featured two “sides”—based on religion—and the current war has two main sides—tech versus entertainment—it also featured a lot of smaller players battling it out, sometimes switching sides. And that’s still the case for entertainment and media, despite the above headlines. I’d recommend this truism: if someone has to tell you they won the streaming wars, they probably haven’t. To wit, if someone told you they were fighting in the Thirty Years’ War—and no, they didn’t call it that at the time—and in year five, they told you they won, well, obviously they had 25 more years to go. That’s a lot of preamble to say, the story of the week is the latest battles between YouTube and Netflix. Their battle for talent says a lot about how hard this war will be to win. All that, plus The Curse of the Mogul in action, Netflix providing more (theatrical) data, whether Apple TV is in trouble, AMC getting in on distribution, and a whole lot more. Subscribe Today’s article is sponsored by… Substack is hosting a live Emmys watch party, starting at 5PM on the East Coast (2PM on the West Coast) on Monday, 14-Sep. Check it out! Tune In Most Important Story of the Week - Who’s the Big Winner in the Netflix vs YouTube Showdown? Netflix spent a lot in 2025, and then even more in 2026 adding a host of “creators”—both podcasters and YouTube stars—to their TV lineup. Frankly, for years, I’ve thought that more major studios/streamers/channels should look to YouTube as the launching pad for future stars and IP. Either by poaching proven talent—albeit at good prices—or by treating YouTube as an arena for your “A&R” reps to scout new talent and emerging voices. Netflix started executing the former strategy—which I thought was smart—while Focus Features did the latter with Obsession. So what changed? YouTube finally responded! Yikes. That’s a strong response, and stronger than I’d argue most narratives about YouTube suggest. People often describe YouTube as a self-reinforcing flywheel of success. Get on YouTube or perish. So why did YouTube have to respond? Because other folks poaching their top talent could really damage their business, implying their flywheel is a pinch more rickety than most analysis suggests. Clearly, creators can envision a life off YouTube and potentially a much more lucrative one. The Curse of the Media Mogul is Playing Out In Real Time We’re just getting started with this issue, but the rest is for paid subscribers of the Entertainment Strategy Guy, so if you’d like to find out… Who is the big winner in the Netflix versus YouTube battle… The biggest question about YouTube… Plus why YouTube’s saber rattling should worry talent… Why I’m skeptical that a U.S. federal tax credit for film will happen… What key change could pull Apple from the streaming business. AMC getting in on distribution… Some great reads on the Warner Bros.-Paramount merger... And a whole lot more... ...please subscribe! We can only keep doing this great work with your support.
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Netanyahu testifies his health is 'top decile' in libel suit over cancer reports
The Prime Minister Testified in Court After He Sued an Anti-government Activist and Two Journalists Over Reports on His Health. In April, a Medical Report Revealed Netanyahu Had Been Diagnosed With Prostate Cancer and Underwent Radiation Therapy Without Informing the Public in Real Time
Nike Gives TODAY Inside Look at Its Sports Research Lab
TODAY's Craig Melvin gets a rare look at Nike's high tech sport research lab, where scientists and engineers are working to understand the demands of the sport, the athlete, and the environments they play in to innovate and improve every aspect of athletic performances. The 84,000 sq. ft. facility boasts tech-embedded basketball courts, turf fields, treadmills, and sweat rooms that give Nike designers real time feedback on every kind of athletic performance.
Bill Maher Shares Unhinged Theory on Alleged Jeffrey Epstein Note
The 'Real Time With Bill Maher' host pointed out a striking similarity in the note to President Donald Trump.
Wayne Brady Makes Scathing Claim About Bill Maher, Reigniting Public Feud
The 'Let's Make a Deal' host didn't hold back with his blunt declaration about the 'Real Time With Bill Maher' host.
Wayne Brady Makes Scathing Claim About Bill Maher, Reigniting Public Feud
The 'Let's Make a Deal' host didn't hold back with his blunt declaration about the 'Real Time With Bill Maher' host.
Wayne Brady Makes Scathing Claim About Bill Maher, Reigniting Public Feud
The 'Let's Make a Deal' host didn't hold back with his blunt declaration about the 'Real Time With Bill Maher' host.
Weird Science: Research using everyday trash to figure out how litter travels from city streets to the ocean.
Led by NC State and NC Sea Grant, the study involves releasing GPS-equipped plastic bottles into the Neuse River to track their movement in real time. The goal is to solve the mystery of how land-based waste transforms into the marine debris that clutters our coastlines.
AMC is bringing a new live concert experience to local movie theaters
The program moves away from prerecorded content, opting instead for live broadcasts that allow artists to perform for a national theater audience in real time.
Arena One and AMC Theatres® Launch a First-of-its-Kind, Shared Live Concert Experience Nationwide Beginning in June
In a new era of shared live entertainment, fans and artists connect in real time, with live concerts shared in more than 300 AMC locations in…...
U.S. Embassy Supports Tunisian Business Delegation at 2026 SelectUSA Investment Summit - U.S. Embassy in Tunisia
U.S. EMBASSY SUPPORTS TUNISIAN BUSINESS DELEGATION AT 2026 SELECTUSA INVESTMENT SUMMIT The SelectUSA Investment Summit is the premier U.S. investment event, connecting thousands of investors, companies, economic development organizations, and industry experts to make deals happen. Media Note TUNIS, May 5, 2026 – U.S. Embassy Tunis is pleased to support a delegation of 11 Tunisian companies traveling to the United States to participate in the 2026 SelectUSA Investment Summit at National Harbor, Maryland, May 3-6, 2026. The Summit is an opportunity for these dynamic entrepreneurs to establish new connections and explore business and investment opportunities in the United States. This year, three Tunisian women entrepreneurs and members of the delegation representing Spiraw and Sotetel were accepted into the Select Global Women in Tech year-long mentoring program which will kick off at the summit. Since 2022, more than 50 Tunisian entrepreneurs in fields ranging from e-gaming, robotics, software engineering, coding, online fashion, and green tech have participated in SelectUSA Investment Summits, where they have taken their businesses to the next level. Hosted by the U.S. Department of Commerce, the SelectUSA Investment Summit is a one-stop shop for companies considering expanding to the United States and provides economic development organizations (EDOs) with the opportunity to meet directly with international companies to facilitate investment deals. Since inception, the SelectUSA Investment Summit has attracted tens of thousands of companies and economic development representatives, generating over $250 billion in new investment projects that support more than 125,000 jobs across the United States and its territories. The previous SelectUSA Investment Summit saw record-breaking numbers with more than 5,500 participants, including EDOs from 54 U.S. states and territories and over 2,700 business investors from 100+ countries, including Tunisia. The following Tunisian businesses will take part in this year’s SelectUSA delegation: AquaDeep – Revolutionizes aquaculture with AI-powered monitoring solutions, including a real-time larva counting system and a SaaS platform for environmental monitoring. The company is expanding operations across Tunisia, Europe, Africa, and the United States. Bouraoui Group – Specializes in event venues, hospitality experiences, innovative real estate development, and technology driven customer solutions. The business develops experience- focused and tech enabled lifestyle destinations that combine entertainment, culture, retail, and smart services, and is seeking international partners to co-develop hospitality, PropTech, smart retail, and experiential digital projects. Digital Cook – Builds HR and recruitment software solutions, including HRMS, ATS, and custom tools that streamline hiring, employee management, and talent development. It provides custom software, system integration, and scalable HR platforms for SMEs, large enterprises, and recruitment agencies seeking efficient, user-friendly ways to manage their workforce and improve recruitment. El Kanaouet – Provides high-quality and low-cost hydraulic infrastructure for the supply and distribution of drinking water. The company manufactures prestressed concrete structures based on current technological developments in the field and trends in integrated and digitalized management. El Kanaouet aims to enter the U.S. market with its production of centrifugal prestressed concrete pipes and other technical products and services. Fluoink Nanotechnologies – A deep‑tech startup developing next‑generation antimicrobial additives for paints, coatings, and industrial materials, enabling everyday surfaces to act as long‑lasting barriers against harmful bacteria and pathogens without changing their appearance or performance. Mare Custos – A subsea robotics company specializing in ROV-based underwater inspection services for offshore energy, ports, and marine infrastructure, using high-precision imaging, PAUT, and NDT to inspect structures in challenging conditions. SmartMed SA – A fast-growing digital health company operating in Tunisia, Algeria, and Morocco, offering an integrated ecosystem that helps patients book appointments (MedPro), enables clinics to digitize workflows and EMRs (MedLink), and supports targeted digital marketing for healthcare and pharma (MedAds). With millions of appointments and users, SmartMed has become a leading e-health platform in North Africa. Sototel – Builds telecommunications networks and services, including fixed, radio, and mobile networks. Sototel focuses on technological innovation and continuous improvement, providing high-value-added digital solutions. SOTUPRIN HGE – Specializes in manufacturing household electrical appliances under the brand HGE and OEM. Expanded from the local market to North Africa, Central Africa, the Middle East, and Europe. Spiraw by Food4Future – Designs and manufactures smart, AI-powered cultivation systems allowing individuals and businesses to grow fresh, highly nutritious food – starting with spirulina – directly at the point of consumption. Combining patented hardware, controlled-environment agriculture, and a connected app with an AI assistant, Spiraw aims to decentralize food production and create a new category at the intersection of agri-tech, consumer health, and smart home ecosystems. WaterSec (Istidama) – A climate-tech startup that uses IoT, AI, and smart sensors to help high consumption facilities (such as industries, hotels, and commercial buildings) monitor water use in real time, detect leaks, and optimize consumption. The company’s digital platform turns raw water data into alerts and actionable insights, making water management more transparent, proactive, and sustainable. Learn more about the SelectUSA Investment Summit at https://www.selectusasummit.us/. Follow live developments from the summit on X at https://x.com/SelectUSA.
At ORNL, Science Never Sleeps
At Oak Ridge National Laboratory, scientists are building the next generation of research: self-driving labs powered by AI, robotics and high-performance computing. Autonomous systems run continuous “design, build, test, learn” cycles to analyze data in real time and guide experiments.
Underwater robot tracks sperm whale conversations in real time
Understanding how they communicate remained difficult because these marine mammals dive to depths of more than a mile for around 50 minutes each hour.
Biosphere 2 poised to become a launchpad for landscape terraformation science
"From Early Earth to Mars" explores how life can transform planets in an effort to make Mars habitable while keeping Earth livable. At Biosphere 2, the LEO Survey's massive hillslopes allow researchers to monitor how bare rock gradually evolves into biologically active terrain in real time and virtually via a digital twin model.
MIT scientists turn chaotic laser light into powerful brain imaging tool
Scientists at MIT discovered that chaotic laser light can spontaneously form a highly focused beam instead of scattering—if the conditions are just right. This “pencil beam” enabled them to image the blood-brain barrier in 3D at speeds 25 times faster than existing techniques. The method also lets researchers watch how drugs move into brain cells in real time. It could dramatically accelerate the development of treatments for neurological diseases.
Reporters covered the correspondents' dinner shooting in real time. Conspiracy theories still spread
Conspiracy theories flooded the internet minutes after the shooting at the White House Correspondents’ Dinner attended by President Donald Trump | 830 WCCO
Facts compete with conspiracy theories after WHCD attack
No sooner had a gunman tried to storm the ballroom of the Washington Hilton, where the White Correspondents’ Dinner was taking place Saturday night, than social media was awash with conspiracy theories about what was still unfolding in real time.
2026 NFL Draft team grades: Live updates, report cards for all 32 teams
Every pick shifts the board: Live team grades update in real time with analysis on key moves
CBL Scholars Program Opens Pathways to Business Law Careers - UC Law San Francisco (Formerly UC Hastings)
First-year law students and 2026 CBL Scholars Deniz Masjedi, Alvaro Flores, and Tavia Pappaly gain mentorship connections with leading industry professionals as they prepare for careers in business law. Created by the UC Center for Business Law San Francisco (CBL), the CBL Scholars Program aims to develop the next generation of business law leaders, supported by contributions from individuals and corporate sponsors. The highly competitive program provides funding along with academic and professional mentorship to students from disadvantaged backgrounds. Scholars gain exposure to the Bay Area’s technology and venture capital ecosystems and access to UC Law SF’s broad network of senior legal professionals. Now in its sixth year, the CBL Scholars Program provides a scholarship and academic and professional mentorship to students entering the business law community from disadvantaged educational, economic, social, or physical backgrounds. The program is generously sponsored by the law firms Gunderson Dettmer and Goodwin Procter. Meet this year’s CBL Scholars: Deniz Masjedi, Alvaro Flores, and Tavia Pappaly. All three have secured summer associate positions at prestigious law firms. Deniz Masjedi: A Passion for Helping Founders Grow Companies Deniz Masjedi, who was born in Iran and moved to Southern California as a teenager, traces her interest in law to her family’s immigration journey and her desire to advocate for herself and her family. She earned a bachelor’s degree at UC Berkeley, where she studied political science and sociology. At UC Law SF, she serves as a 1L representative for the Iranian Law Students Association and is active in the Business Law Society and Technology & Law Society. Next fall, she will serve as director of mentorship for the Technology & Law Society and director of professional development for the Business Law Society. She will join Sidley Austin this year as a 1L/2L summer associate. Q: What draws you to business law? A: Prior to law school, I worked in Cooley LLP’s Private Companies practice group as a corporate paralegal for three years, supporting over 100 venture-backed startups and venture capital funds. I found purpose in helping founders transform their vision into successful companies. It was incredibly rewarding being part of their journeys—from company formation and initial financing to major transactions such as M&A deals. What excites me most about this field is the potential for a small, innovative company to become the next Google or Zoom, shaping how people communicate and access information. I hope to continue supporting entrepreneurs and investors as a corporate attorney. Q: What does it mean to you to have been awarded this scholarship? A: As the first person in my family to attend law school in the United States, receiving this scholarship is a tremendous honor. My parents and I left everything behind so that I could enjoy the freedom to practice my religion without persecution and pursue a career in law as a woman. This award is an acknowledgment of my dedication to business law and motivates me to continue pursuing excellence in this field. It also recognizes years of hard work—learning a new language, navigating the college and law school application process, and ultimately building a career in the legal profession. Q: How will this scholarship help support your future goals? A: This scholarship will provide access to mentorship from leaders in the field, enabling me to develop the skills necessary to offer practical advice and effective representation to future clients. It also eases the financial burden of law school, letting me focus on my coursework and deepen my commitment to corporate law. As an immigrant, breaking into the legal profession has not always been easy, and the time that mentors have invested in me has been instrumental to my progress. This scholarship will allow me to continue building those relationships while positioning me to one day mentor others pursuing similar paths. Alvaro Flores: Inspired by Entrepreneurs The son of Mexican immigrants raised in San Antonio, Texas, Alvaro Flores says he has long been interested in how policy, markets, and culture shape society. He studied international relations and global economy at the University of Southern California, with minors in business finance and legal studies. His experiences span local political organizing, venture capital and startup work, and teaching entrepreneurship. At UC Law SF, he is involved in the Business Law Society, Technology & Law Society, and the Latinx Law Student Association. He will join Perkins Coie as a 1L/2L summer associate with the firm’s Emerging Companies & Venture Capital practice. Q: What draws you to business law? A: I’m drawn to stories of entrepreneurs whose simple ideas become companies that shape the economy and society. Spending time in venture capital and working directly with founders has shown me that many important decisions in the scaling process are ultimately legal ones, particularly how companies are structured and how capital is raised. Business law sits at the intersection of innovation and equity. It offers a way to stay close to the pace of technological change while also helping expand who gets to participate in it. There is something special about being part of that process here in the Bay Area, where the American Dream feels like it is reimagined in real time. Q: What does it mean to you to have been awarded this scholarship? A: I am truly grateful for the support and belief this scholarship represents. I see it not just as recognition, but also as alignment. The CBL Scholars Program’s focus on developing individuals who engage deeply with the business and technology ecosystem reflects the path I have been intentionally building. More than anything, it feels like an investment in that journey. I have been thoughtful about each next step–whether teaching, working in venture capital, or building multidisciplinary experiences–and this scholarship reinforces that those efforts come together in a meaningful way. Q: How will this scholarship help support your future goals? A: It allows me to focus more on developing as a business lawyer, without the distraction of financial constraints. Beyond that, the mentorship and access to the Bay Area network are just as valuable. I’m especially interested in working with early-stage companies and investors, so the opportunity to learn directly from people operating at a high level in that space is huge. Tavia Pappaly: Working in the Wine Industry Sparked Interest in Business and Law Tavia Pappaly spent five years in the wine industry before deciding to pursue law school with a goal of becoming a corporate transactions attorney. Pappaly says she wants to use her legal skills to help business grow and thrive. A first-generation law student from Fairfield, California, she is a member of the Legal Education Opportunity Program (LEOP) and will serve as vice president of social planning for the UC Law SF Sports Law Society in her 2L year. She plans to work as a summer associate at Gibson Dunn in San Francisco after her 2L year. Q: What draws you to business law? A: Business law brings together many of my interests and personal experiences. As the daughter of immigrants who grew up around a family-owned small business, I saw firsthand both the opportunities and challenges of building something from the ground up. That perspective, combined with my experience in the wine industry, solidified my interest in helping businesses of all sizes tackle evolving legal challenges. I’m excited to grow within the corporate law space and develop the skills and experience to support businesses at every stage. I’m deeply motivated to give back to immigrant communities and small business owners, whose experiences often intersect. By building a strong foundation in corporate law, I hope to support those working to create generational stability and to contribute in a meaningful way to the communities that have shaped me. Q: What does it mean to you to have been awarded this scholarship? A: Receiving this scholarship is incredibly meaningful to me. I take great pride in my background as a first-generation student and a woman of color, so being recognized for my potential in a field that has historically underrepresented those communities is both affirming and empowering. This program will help connect me to the resources and committed mentors that will help me succeed. Beyond that, it is no secret that law school is a significant financial commitment. This scholarship helps ease both the financial burden and the stress that comes with it, allowing me to focus more on my education and long-term goals. I am incredibly grateful! Q: How will this scholarship help support your future goals? A: This scholarship has already connected me with an incredible network of faculty, business law professionals, and like-minded students. The community fostered by the Center for Business Law is deeply supportive, and I’m excited to grow alongside my cohort. I truly believe this network will play an important role in helping me thrive in law school and position me for success in business law. As I have seen firsthand how impactful both financial scholarship and mentorship are, I hope to give back in this same way later in my career.
How can scientists visualize cellular life with greater precision? - Salk Institute for Biological Studies
Highlights Salk researchers collaborated with scientists at Albert Einstein College of Medicine to develop a new class of probes for imaging living cells The probes, called visible-spectrum antigen-stabilizable fluorescent nanobodies (VIS-Fbs), generate high-contrast images with minimal disruption to normal cellular activity The technology enables more precise investigation of complex biological processes, including cell signaling, development, and disease progression LA JOLLA—Fluorescent proteins have revolutionized science, enabling researchers to tag and visualize individual molecules in living cells, tissues, and animals. Using these tools, researchers have watched viruses infect cells in real time, observed cellular trash collection, and tracked the signaling that spurs tumor growth.
This new camera captures what happens in a trillionth of a second
Scientists have unveiled a breakthrough imaging method that can capture the hidden details of events unfolding in trillionths of a second. This new technique doesn’t just track how bright something is—it also reveals subtle structural changes that were previously invisible, all in a single shot. By effectively turning ultrafast phenomena into detailed “movies,” researchers can now watch plasma form, electrons move, and materials transform in real time.
New imaging technique helps scientists see the inside of living cells to study how cancer spreads and grows
New fluorescent dyes allow scientists to watch cancer activity inside living cells in real time, opening new possibilities for treatment.
Bill Maher Takes Bold Stance on AI With Dire Warning
The 'Real Time With Bill Maher' host didn't hold back with his scathing assessment of artificial intelligence.
Bill Maher Takes Bold Stance on AI With Dire Warning
The 'Real Time With Bill Maher' host didn't hold back with his scathing assessment of artificial intelligence.
The New Science of the Near-Death Experience
The New Science of the Near-Death Experience: For the first time, scientists are studying these mysterious states in real time
‘Smart Underwear’ Measures Gut Gas for Microbiome Science
Device snapped into underwear monitors flatus frequency in real time to set a new baseline for what’s typical and gain insight into microbiome activity.
NASA's Artemis II Crew Saw Meteorites Striking The Moon in Real Time
"Audible screams of delight."
Quantum computers keep losing data. This breakthrough finally tracks it
Quantum computers struggle with a major flaw: their information vanishes unpredictably. Scientists have now created a new method that can measure this loss over 100 times faster than before. By tracking changes in near real time, researchers can finally see what’s going wrong inside these systems. This could be a big step toward making quantum computers stable and practical.
Binge is a movie tracking app that warns you of jump scares in real time
The app uses iPhone Live Activities to alert you when scary scenes are about to happen, while also tracking what to watch and where to stream it.
Melissa Blotter: Advancing the Science of Seizure Intervention
Melissa Blotter is pioneering a bold new approach to treating life-threatening seizures by using ketone bodies to stop them in real time.
A New Era of Sports Broadcasting: Galaxy S26 Ultra Unlocks New Perspectives, Bringing Cameras Inside the A ...
Capturing new angles like never before, Galaxy S26 Ultra’s broadcast-ready capture transforms how skateboarding is filmed, experienced and delivered in real time
These overlooked brain cells may control fear and PTSD
Astrocytes, once thought to be mere brain “support cells,” are now revealed to be key players in fear memory. Researchers found they actively help form, recall, and weaken fear responses by interacting with neurons in real time. Changing astrocyte activity directly altered how strong fear memories became. This breakthrough could lead to entirely new treatments for anxiety-related disorders.
Central banks' inflation mood puzzle: more judgment than science
The world's central bankers may be attempting the impossible: to get into the psyche of business executives, labour unions and ordinary households in real time to understand how they are navigating their finances through yet another energy shock.
From classroom to Capitol Hill, UF students help shape health policy
On any given day in the halls of Congress, Ryan Athay may meet with health advocates, research complex policy issues or help write legislation that could impact millions of lives. For Athay, a Master of Public Health student in the University of Florida College of Public Health and Health Professions, the experience is more than a line on a resume. It’s a front-row seat to policymaking in real time.
WHO warns of health crisis ‘unfolding in real time’ across Middle East
Hostilities should halt and healthcare facilities must be treated as ‘safe havens’, WHO’s regional chief has said
Hochul defends climate law changes
If advocates hopped Gov. Hochul would hear their vehement disagreement with her climate proposal, she didn’t in real time: She wasn’t there.
NASA’s Hubble accidentally caught a comet breaking apart in real time
In an incredibly lucky cosmic accident, NASA’s Hubble Space Telescope captured a comet breaking apart in real time—something astronomers have long tried and failed to observe. The comet, C/2025 K1 (ATLAS), wasn’t even the original target, but when researchers pivoted to it, they unknowingly caught it mid-disintegration into multiple pieces.
German Health Minister Nina Warken and WHO Hub in Berlin highlight 2025 achievements
Germany’s Federal Minister of Health, Nina Warken, visited the WHO Hub for Pandemic and Epidemic Intelligence in Berlin today to review progress and launch its 2025 Annual Report. The report highlights advances in using artificial intelligence, data science and pathogen genomics to strengthen global preparedness for future pandemics.In 2025, the WHO Hub in Berlin worked with more than 160 Member States and over 190 partners to help countries and organizations develop new systems and tools to detect and understand new public health threats as quickly as possible, whenever and wherever they occur.BMG to confirm whether they wish to contribute a quote. “Detecting outbreaks early is one of the most effective ways to save lives and prevent epidemics from becoming global crises,” said Federal Minister of Health Nina Warken. “Germany is proud to host and support the WHO Hub for Pandemic and Epidemic Intelligence. Its work strengthens our safety at home and helps protect people worldwide.”Artificial intelligence is increasingly transforming the detection of outbreaks. In 2025, the Hub launched an upgraded version of the Epidemic Intelligence from Open Sources (EIOS) system, which uses enhanced AI functions to scan global online information in real time and help experts quickly identify unusual health events. The system is now used by 120 countries.To better anticipate health threats, countries need information beyond traditional health data. The Hub supports countries in implementing Collaborative Surveillance, which integrates data on climate, animals, travel, and population movement to provide a more comprehensive and real-time understanding of health threats.The Hub also expanded global access to pathogen genomics, which helps scientists detect new pathogens, such as viruses and bacteria, understand how they spread and how dangerous they may become. Through the International Pathogen Surveillance Network (IPSN), the WHO Hub in Berlin worked with 309 partners in 101 countries to expand access to these technologies.“We are in a new era of global health threats, and we need new tools to face tomorrow’s challenges,” said Dr Chikwe Ihekweazu, Executive Director of the WHO Health Emergencies Programme. “The WHO Hub in Berlin helps countries use data and technology more effectively so they can identify risks earlier and respond faster. No country can address these threats alone. Strong cooperation remains our best defence.”“Berlin offers an ideal environment for our work. We collaborate closely with world-leading institutions such as the Robert Koch Institute and the Charité Center for Global Health,” said Dr Oliver Morgan, Head of the WHO Hub for Pandemic and Epidemic Intelligence. “Germany has supported the WHO Hub since its establishment, and we are pleased to welcome Federal Minister Nina Warken to the Hub today. This strong partnership helps us advance innovation in pandemic and epidemic intelligence and better support countries to prepare for future health threats.”The Hub is expanding the use of advanced analytics and mathematical modelling to forecast how outbreaks may develop and to assess which response measures are most effective. Through its Collaboratory, the Hub connects modelers and analysts with governments to ensure their work addresses real public health needs. In 2025, the community grew to 1300 members from 50 countries and 200 institutions. An AI-powered pandemic simulator, currently in the prototyping phase, will help decision-makers compare outbreak scenarios and help identify effective disease control measures.
For Healthcare, The Real AI Challenge Has Always Been The Data
AI and blockchain are transforming Healthcare by fixing fragmented data, improving public health analytics, and enabling secure, real time medical insights.
EXCLUSIVE VIDEO: Witnesses run as man opens fire in central Fresno health clinic
One day after a brazen shooting inside a Family Health Center Clinic in Central Fresno, exclusive video obtained by Action News shows the horror unfolding in real time.
Building climate-ready healthcare facilities across Indonesia
The World Health Organization (WHO), working with the Ministry of Health and partners, developed the Climate-Resilient and Environmentally Sustainable Health Care Facilities assessment tools. These were adapted from WHO's global framework and integrated into the SIKELIM platform, a digital system that maps disaster-affected facilities in real time. The tools help facilities assess vulnerabilities across systems including workforce capacity, water and sanitation WASH and waste, energy, infrastructure and technology.
CVS taps Google Cloud to roll out AI-powered health platform
CVS Health will launch an AI-enabled platform in partnership with Alphabet's Google Cloud unit that will bring together data from diverse sources to help customers manage their health in real time, they said on Thursday. Health100 will be an integrated health care engagement platform for customers, regardless of the pharmacy or insurer they use. The initial launch of Health100 will be in 2026, with details expected to be revealed at The Check Up, Google's annual health event later in March.
Scientists just turned light into a remote control for crystals
NYU researchers have found a way to use light to control how microscopic particles assemble into crystals, effectively turning illumination into a tool for shaping matter. By adding light-sensitive molecules to a liquid filled with tiny particles, they can adjust how strongly the particles attract or repel one another simply by changing the light’s intensity or pattern. This allows them to trigger crystals to form, dissolve, or even be reshaped in real time.
Voters react as Trump calls Dems 'crazy' for not applauding ban on secret teen gender transitions
Voters react in real time as President Donald Trump calls Democrats “crazy" during his State of the Union over a proposed ban on school gender transitions.
Quantum computer breakthrough tracks qubit fluctuations in real time
Qubits, the heart of quantum computers, can change performance in fractions of a second — but until now, scientists couldn’t see it happening. Researchers at NBI have built a real-time monitoring system that tracks these rapid fluctuations about 100 times faster than previous methods. Using fast FPGA-based control hardware, they can instantly identify when a qubit shifts from “good” to “bad.” The discovery opens a new path toward stabilizing and scaling future quantum processors.