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Analysis-Ex-Prosecutor’s Killing Puts Guatemala’s Crime-Politics Nexus Back in Focus
By Sofia Menchu and Diego Oré GUATEMALA CITY, Oct 22 (Reuters) - Former Guatemalan anti-corruption prosecutor Juan Francisco Solorzano Foppa was one of the country's most high profile voices denouncing alleged links between politicians and business leaders and the country's increasingly powerful ...
Democratic Virginia state Sen. Lucas accused of leading marijuana criminal conspiracy
U.S Attorney General Todd Blanche says a powerful Democratic Virginia state senator was charged with leading a criminal marijuana enterprise.
Democratic Virginia state Sen. Lucas accused of leading marijuana criminal conspiracy
U.S Attorney General Todd Blanche says a powerful Democratic Virginia state senator was charged with leading a criminal marijuana enterprise.
Powerful Virginia Lawmaker Indicted Over Marijuana Business
L. Louise Lucas, a Democrat from Portsmouth, was the focus of F.B.I. searches earlier this year.
Federal prosecutors accuse Sen. Louise Lucas of using political power to benefit marijuana enterprise
Virginia state Sen. Louise Lucas was indicted Thursday on federal charges accusing her of leading a criminal marijuana enterprise and using her position as one of the state’s most powerful legislators to protect the operation and pursue financial benefits from Virginia’s emerging recreational marijuana industry.
Virginia state Sen. L. Louise Lucas indicted in connection with marijuana business
Lucas, the 82-year-old president pro tempore of the Virginia Senate, is one of the state’s most powerful Democrats.
A revolutionary new microscope could reveal the hidden machinery of life
Researchers have developed a revolutionary microscope that uses an incredibly powerful laser to make previously invisible cellular structures easier to see. The technology dramatically improves image clarity, allowing scientists to examine small proteins that conventional electron microscopes struggle to capture. It could eventually reveal how tiny molecular machines interact inside cells, providing an unprecedented look at the hidden workings of life.
Hugging Face’s New AI Biology Model Lets You Chat With DNA
The new open-source model speaks the language of DNA and can help researchers understand the effects of any changes on gene activity and health.
San Francisco health officials report city's first deadly overdose involving MGM-15
San Francisco health officials are warning about the city's first reported deadly overdose involving a powerful new opioid.
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.
‘A powerful warning’: will Europe’s angry protests lead to real political change?
Hamstrung governments seem to have no answer to the public’s furious demands, making further discontent likely
Extratropical Cyclone Whips Past Iceland
The powerful low-pressure system formed over the North Atlantic out of the remnants of Hurricane Isaias.
SpaceX earnings soar past expectations as AI business surges
Elon Musk's company is one of the most powerful companies in the AI economy.
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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The science, instinct and hard work behind Roosters’ success
Enter your email address to get each Tribune edition sent to your inbox Subscribe There’s a fair bit of unseen work that goes into winning an NRL premiership, dating back many months - just ask Simon Jones. The Sydney Roosters Head of Performance, who hails from Southland, has been in the thick of it. He played a lead role in guiding the 2026 champions through a marathon campaign that ended with a grand final win over the Newcastle Knights. The Roosters had to navigate the lengthy round-robin competition, including the pre-season, before playing through all four weeks of the finals series. It was a demanding stretch that tested the players and the staff responsible for keeping them on the field. “It is a hell of a beast, mate, to be honest,” Jones told The Roar Podcast. “There’s such a great group of staff there that know what they’re doing, and the boys are pretty professional.” Jones believed the Roosters managed the physical demands well, pointing to the health of the squad throughout the campaign and the decision to rest a significant portion of the playing group in the final round of the regular season. That call, made by head coach Trent Robinson and his coaching staff, proved valuable as the Roosters entered the finals with some energy in reserve. “We did finish the season physically where we needed to be, and we’d sort of had a pretty healthy squad all year,” Jones said. “To the team that do that, mate, mission accomplished, really.” It is the sort of work that often goes unnoticed when the spotlight falls on the players scoring tries and making match-winning plays, but Jones knows the cumulative effect of those decisions can be significant over a long season. After a win over Penrith had helped establish them as premiership favourites, losses to the Wests Tigers and Dolphins were followed by a defeat to the Panthers in the opening week of the finals. Rather than panic, the club refocused to position itself to challenge for the title. “The Tigers’ performance was probably the only one where you’re really quite disappointed because it’s hard to get to the top of the competition,” Jones told The Roar Podcast. “We had proof that we could; we knew what we needed to do. We just had to get back to that.” For Jones, the answer was not necessarily a radical change to the programme. It was about executing the basics consistently, both on the field and in preparation. “We just do the basics better than anybody else,” he said. “Whether that is actually the way you play the game or how you’re preparing, it’s just be really consistent, do the basics really, really well.” Like many professional sports teams, the Roosters are entrenched in sports science and performance data. The club has access to a range of information, including players’ sleep, GPS metrics and neuromuscular scores, helping staff assess how individuals are coping with training and competition. “We are very science-backed, and some people would say data-driven, but it’s people first,” he said. “The reason you collect all this data is to try and be the best for that person.” Jones said the club was also prepared to reconsider testing methods if they were not generating useful discussions or helping staff make better decisions. In an environment where technology is continually evolving, he believes experience and gut instinct remain important. “The data is no good unless you have conversations,” he said. “When you strip it right back, mate, trust the gut still and obviously, you know, just doing the basics really, really well.” The return of halfback Sam Walker provided a further example of the importance of individual determination and the work of the club’s medical team. Walker underwent ankle surgery late in the regular season, with his premiership campaign appearing in doubt. However, he was determined to return for the preliminary final. Jones said Walker was back at the training ground three days after surgery, walking freely enough to surprise those around him. While the surgeon’s work was crucial, Jones credited the halfback’s mindset as a major factor in the remarkable turnaround. “He was quite clear with Robbo after he got the surgery that he was going to make it back for the prelim finals,” Jones said. The Roosters’ performance programme also sits within a wider club culture that Jones believes is central to their success. Each season, players develop their own team mantra through a lengthy process facilitated by Robinson. It provides principles that the squad can connect to its actions on the field. Rather than simply carrying over the previous year’s wording after a successful campaign, the club repeats the process because the players’ ownership of it is what gives it meaning. “When it’s led, player-owned and player-led, mate, it’s really powerful,” Jones said. Get more from Logan Savory in the Substack app Available for iOS and Android Get the app Jones joined the Roosters in 2024 and said the environment had evolved as experienced players departed and younger members of the squad took on greater responsibility. Maintaining continuity in the club’s culture and preparation had helped the group navigate those changes. The premiership was a significant achievement for Jones, who acknowledged how difficult it was to win the NRL’s ultimate prize. However, he is already looking at how the performance programme can improve. “There’s still things within my role and things that I’d like to help improve at the club,” he said. For Jones and his team, the challenge now is to review the season, refine their systems and prepare for another campaign. The celebrations may have followed a memorable title win, but the work behind the scenes never really stops. The Southland Tribune is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe
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Building a science of biodiversity recovery
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Inside the DC 'Power to the People' festival headlined by Bruce Springsteen
Bruce Springsteen and other music legends delivered a powerful message at the “Power to the People” protest festival in Maryland
Inside the DC 'Power to the People' festival headlined by Bruce Springsteen
Bruce Springsteen and other music legends delivered a powerful message at the “Power to the People” protest festival in Maryland | KCBS All News 106.9FM and 740AM
Inside the DC 'Power to the People' festival headlined by Bruce Springsteen
Bruce Springsteen and other music legends delivered a powerful message at the “Power to the People” protest festival in Maryland | WBBM Newsradio 780 AM & 105.9 FM
Inside the DC 'Power to the People' festival headlined by Bruce Springsteen
Bruce Springsteen and other music legends delivered a powerful message at the “Power to the People” protest festival in Maryland | 1080 WTIC NEWSTALK
Inside the DC 'Power to the People' festival headlined by Bruce Springsteen
Bruce Springsteen and other music legends delivered a powerful message at the “Power to the People” protest festival in Maryland.
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Bishop’s computer science chair says AI is eliminating ‘grunt work’ and reshaping digital jobs
Dr. Russell Butler, chair of Bishop’s University’s Department of Computer Science, says artificial intelligence is increasingly taking over routine digital “grunt work,” changing the skills students and workers may need in the years ahead. Photo courtesy of Bishop’s University. Click here to read our platform! Get local news like this every morning. Subscribe free below. Subscribe Pulse Newsroom Artificial intelligence is already taking over some of the routine digital work once performed by entry-level employees, according to Bishop’s University Computer Science chair Dr. Russell Butler — a shift he believes will make expertise, judgement and the ability to evaluate AI-generated work increasingly important. Butler described the change as automation reaching what he calls the “bottom of the cognitive pyramid” during an interview with The Pulse about AI, university education and the future of digital work. His argument is not that humans are disappearing from the workplace. Instead, he sees their role changing as AI becomes capable of handling more of the repetitive tasks involved in computer-based work. “Everything’s converging on just AI basically doing all the grunt work,” Butler said. The bottom of the cognitive pyramid Butler is from Lennoxville, completed his undergraduate studies at Bishop’s and later earned his PhD at the Université de Sherbrooke. He joined Bishop’s in 2019 and now chairs its Department of Computer Science. He uses AI in research, teaching and other creative work, and said the technology is increasingly capable of handling routine digital tasks that once required substantial human time. “You’ve got the grunt work, like moving things around in Excel, doing basic programming tasks,” Butler said. “That’s like the bottom grunt work that the entry-level worker would have done two or three years ago.” Butler went further, saying in his view that much of this type of work has already been absorbed by AI tools. He connected that change to a shift he sees taking place in computer science, where entry-level roles have declined while experienced workers can use AI to increase what they can produce. “A senior developer now has access to essentially an unlimited amount of junior developers on demand,” Butler said. He was describing AI systems metaphorically, not literal employees. His point was that one experienced developer can now ask AI tools to produce code or other technical work that might previously have been assigned to more junior workers. That raises a broader question for universities and employers. If some of the simpler work traditionally given to newcomers can now be done by machines, how do people gain the experience needed to become senior workers themselves? Students doing work that once required years of programming Butler said he is already seeing the change inside his classroom. He created a Bishop’s course called CS208, Coding in Plain English, to show students — including those without traditional programming backgrounds — what they can accomplish using AI. Some come from disciplines such as psychology or neuroscience with no previous programming experience. “What I’m finding is that students who have zero programming experience, they come in from another discipline like psychology or neuroscience or something, they are now able to get up and running with real data sets,” Butler said. Butler’s own doctoral work involved neuroimaging, and he said he has assigned students work he considers comparable to the kinds of analysis he performed during his PhD. He described giving students a real dataset, an expected result and instructions to use AI to complete the analysis. Butler said those students have been able to carry out work at a level he associates with tasks he once performed after years of programming experience. That does not mean a student using AI instantly acquires the same knowledge as an experienced computer scientist. But Butler sees it as evidence that AI can dramatically lower the technical barrier between having a problem to solve and producing a working result. The role of the person using the system then changes. They need to know what to ask for, understand enough about the subject to judge the answer and take responsibility for what is ultimately produced. What about AI hallucinations? One persistent concern surrounding generative AI is hallucination — when a system produces information that sounds convincing but is false or unsupported. Butler said that problem has improved substantially in newer systems and is not as severe as it was with earlier models. He pointed in particular to newer AI systems’ ability to search the web, consult scientific databases and return source links rather than simply generating a citation from their internal model. Butler nevertheless said users should verify what AI produces. “You should verify,” he said while discussing citations generated with AI. His position is that hallucinations have become less common in the systems he uses, not that incorrect AI output is impossible. Human checking remains part of the process. Hours of work compressed Butler offered another example from his administrative work at Bishop’s. The university has been comparing CEGEP courses with first-year Bishop’s courses to determine where students may qualify for advanced standing. Traditionally, Butler said, that means reviewing two sets of course descriptions and manually matching one institution’s courses with another’s. As department chair, that could require hours of reading and comparison. He said AI can now be given both sets of material and asked to generate an initial mapping automatically. “It saves me hours and hours of work,” Butler said. Butler said the AI-generated mapping can also produce a better result than he would produce himself. He sees similar opportunities in businesses. A company may receive specifications, drawings, emails or other digital material from customers and then have employees convert that information into an internal format before anything can be manufactured or delivered. AI can increasingly perform parts of that intermediate processing. In Butler’s view, the employee does not necessarily disappear. Instead, the job becomes more about checking the result. “The human is still there,” he said. Judgement could become more valuable That change is central to Butler’s view of where digital work may be headed. If AI can produce a first draft, write basic code, compare documents or process large amounts of information, he argues that knowledge and judgement become increasingly important. “The real scarce resource going forward is going to be domain knowledge, expertise, and… credentials, authority, the ability to work with other people,” Butler said. He is therefore encouraging students not only to learn AI tools but also to broaden their education. He mentioned acting, fine art and photography as examples of courses that can help develop what he described as taste and intuition — the ability to recognize what is good, what is not and what should be changed. “And that’s the skill that they need now because the grunt work has been automated and now it’s about evaluating what the AI produces and telling it how to improve or expand the output,” Butler said. That does not remove the need for technical knowledge. Butler’s argument is that the emphasis may shift away from manually completing every step of a task and toward directing, checking and improving work produced with AI assistance. He also stressed that humans remain responsible for final decisions. “At the end of the day, the human has to make the final call,” Butler said, pointing to the question of accountability. Physical work may be different Butler draws a distinction between digital work and jobs requiring people to manipulate the physical world. He expects AI to continue advancing quickly in tasks performed almost entirely on computers. He is more cautious about claims that humanoid robots will soon be able to replace workers such as plumbers or electricians. Butler said those trades would not be replaced “anytime soon” in his view and described some current robotics demonstrations as overhyped. He described the situation as counterintuitive. “It’s almost like we solved the highest level first,” he said, contrasting advances in digital AI with the harder problem of building robots capable of operating reliably in the physical world. Butler’s argument is that some digital occupations could face automation sooner than trades requiring complex physical work. The wider AI shift in the Townships Butler’s comments come as local institutions are increasingly grappling with how AI should be used. The federal government recently announced up to $162 million over five years for 10,000 AI-related placements through Mitacs. The Université de Sherbrooke told The Pulse that the number of its collaborative research and innovation projects supported through Mitacs has approximately doubled since 2018-19, while the number of placements has approximately tripled. UdeS also said it already has projects involving both AI adoption and the application of AI to other fields. At Bishop’s, Butler said part of his role involves building the Computer Science department’s local presence, connecting students with regional partners and strengthening relationships with the Sherbrooke technology ecosystem. Those developments put universities in a difficult position. They have to prepare students to use the tools employers increasingly have available while also making sure graduates understand enough to recognize when those tools are wrong, incomplete or being applied to the wrong problem. The risk of losing human skills Butler does not see AI as risk-free. Later in the interview, he raised a separate concern: as AI becomes better at reading, writing, programming and other cognitive tasks, people could lose some of the underlying skills that historically helped produce new ideas. “The other danger is that we’re going to lose the human skills,” Butler said. He specifically mentioned reading and writing and argued that people could lose some of the lower-level understanding that contributes to breakthroughs. Butler said AI systems are based on existing human knowledge and argued that they become much more powerful when paired with a capable person. That tension runs through his view of the technology. AI can remove hours of routine work. It can allow beginners to perform tasks that once required substantial technical training. It can give experienced workers significant leverage. But the more capable the technology becomes, the more important it may be for people to develop the judgement needed to decide what should be done in the first place. For Butler, that is where education may have to change. Students still need to understand their field. They still need to know when something is wrong. And they still need to be able to make the final decision. But if AI increasingly handles the bottom of the cognitive pyramid, the value of a worker may depend less on how quickly they can perform the grunt work and more on whether they understand what the work is supposed to accomplish. Don’t miss the next story that affects your community. Join thousands of readers getting The Pulse every morning—plus breaking news alerts when it matters most. If you value this kind of local journalism, consider supporting it. Subscribe, share and like! Subscribe Share
Labor ready to block Johnson’s data center moratorium
The mayor’s proposed yearlong pause is drawing opposition from the same powerful coalition that helped stall earlier pieces of his environmental agenda.
Labor ready to block Johnson’s data center moratorium
The mayor’s proposed yearlong pause is drawing opposition from the same powerful coalition that helped stall earlier pieces of his environmental agenda.
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Chris Koza album release concert Oct. 24
Lanesboro Arts is thrilled to celebrate the release of Chris Koza’s latest album, “Millsmoke on the Skyline,” with a concert at the St. Mane Theatre at 7 p.m. on October 24. Chris Koza is a composer and performer based in Denver and Minneapolis. In his writing, Koza both honors and builds on the vast genre of Americana music. For every song that sounds like it could be strummed from a boxcar clacking slowly across a grassy midwestern plain, there’s a tune sailing from a city rooftop, echoing across a valley of streets and traffic, or a melody twisting and shimmering like a dim frequency deep into the starry night.Both as a solo artist and with his band Rogue Valley, Koza has supported and shared the stage with artists such as Brandi Carlile, Gordon Lightfoot, Ingrid Michaelson, The Jayhawks, Neko Case, Kathleen Edwards, Dan Wilson, and many more. His music regularly appears on ABC’s “General Hospital,” “60 Minutes,” and “Good Morning America.” Koza’s song, “Be Wild,” was also featured in a state of Minnesota tourism campaign.#placement_932485_0_i{width:100%;max-width:550px;margin:0 auto;}var rnd = window.rnd || Math.floor(Math.random()*10e6);var pid932485 = window.pid932485 || rnd;var plc932485 = window.plc932485 || 0;var abkw = window.abkw || '';var absrc = 'https://ads.empowerlocal.co/adserve/;ID=181918;size=0x0;setID=932485;type=js;sw='+screen.width+';sh='+screen.height+';spr='+window.devicePixelRatio+';kw='+abkw+';pid='+pid932485+';place='+(plc932485++)+';rnd='+rnd+';click=CLICK_MACRO_PLACEHOLDER';var _absrc = absrc.split("type=js"); absrc = _absrc[0] + 'type=js;referrer=' + encodeURIComponent(document.location.href) + _absrc[1];document.write('');Koza’s latest offering, “Millsmoke on the Skyline,” grants the newfound outsider perspective of the rich life and golden fleeting days throughout the rural Midwest. Weaving melody and lyrics into vignettes and narratives set in places where love is powerful, dreams are vast, and life is beautiful.The St. Mane Theatre box office will open at 6 p.m. on the day of the concert. Tickets will be sold in person at the door or can be purchased online at lanesboroarts.org. Seating at the St. Mane theatre is first come, first served. Tickets are on sale now for $25 for general admission or $22 for Lanesboro Arts members.The 2026 performing arts season at Lanesboro Arts is made possible by our season sponsor, Poet Refinery, as well as our concert level sponsors, High Court Pub, Krage Insurance Agency & Preble Farmers Mutual, Stone Mill Clothing & Gifts, E2 Boutique/Amish Experience, and The Cottage House Inn, and community sponsors, VIS Plumbing, Granny’s Liquor, Kingsley Mercantile, Batstone CPA, Clara’s Eatery, IGA, Niagara Cave, and Huntington Electric. This event is made possible by the voters of Minnesota through a Minnesota State Arts Board grant, thanks to a legislative appropriation from the Arts and Cultural Heritage Fund. #placement_932489_0_i{width:100%;max-width:550px;margin:0 auto;}var rnd = window.rnd || Math.floor(Math.random()*10e6);var pid932489 = window.pid932489 || rnd;var plc932489 = window.plc932489 || 0;var abkw = window.abkw || '';var absrc = 'https://ads.empowerlocal.co/adserve/;ID=181918;size=0x0;setID=932489;type=js;sw='+screen.width+';sh='+screen.height+';spr='+window.devicePixelRatio+';kw='+abkw+';pid='+pid932489+';place='+(plc932489++)+';rnd='+rnd+';click=CLICK_MACRO_PLACEHOLDER';var _absrc = absrc.split("type=js"); absrc = _absrc[0] + 'type=js;referrer=' + encodeURIComponent(document.location.href) + _absrc[1];document.write('');
Apple Watch Series 12, Ultra 4 adding two new features soon
Apple Watch Series 12 and Apple Watch Ultra 4 have arrived, and later this year they’ll get even more powerful with two new features.
Powerful Storms Continue to Prowl the Pacific
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The 795 HP Ford Mustang Dark Horse SC Is The Diabolical Reincarnation Of The Shelby GT500, But It Wasn't The Power That Surprised Me
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Radio Waves Coming From an Alien Planet May Be a Cosmic First
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New Microsoft data innovations unlock what only your business knows
Every organization has knowledge that is uniquely its own: the way its business operates, the data it has built over time, the expertise of its people and the context behind thousands of everyday decisions. As powerful AI models become more widely available, that unique business intelligence matters more than ever. The difference will come from...
As public worries about AI grow, Newsom's political calculus is changing
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The ice blasting from Saturn's moon Enceladus is stranger than scientists realized
Enceladus may naturally separate and concentrate chemicals from its hidden ocean as droplets slowly freeze and shatter on their way into space. The process could explain Cassini’s puzzling ice-grain chemistry while giving future spacecraft a powerful advantage in searching for organic compounds and clues to life.
Celtics’ Joe Mazzulla Sends Powerful Message About Jaylen Brown
If you thought we were going to get through the Boston Celtics‘ media day without a discussion about the Jaylen Brown trade, then you’d be wrong. Joe Mazzulla opened up his availability to the media by praising Brown and what he brought to the Celtics and the city of Boston during his 10-year tenure with […] The post Celtics’ Joe Mazzulla Sends Powerful Message About Jaylen Brown appeared first on HEAVY.
PAHO marks 50 years of strengthening health emergency preparedness and response in the Americas
Washington, D.C., 28 September 2026 (PAHO) – When two powerful earthquakes struck Venezuela in June 2026, health authorities and emergency responders faced an enormous test. Within hours, regional emergency coordination mechanisms were activated to support the national and international response. Almost immediately after, health facilities were being assessed, medical supplies were mobilized, and highly trained and self-sufficient Emergency Medical Teams from across the Region were ready to deploy.
Florida Basketball: 4 Stars Fuel a Powerful SEC Repeat Bid
The Florida Gators enter the 2026-27 season with a big advantage over other teams. The Gators return their already established core. With most of their frontcourt returning, the Florida basketball program has the size, physicality, and experience to finish at the top of the SEC. Continuity does not guarantee that Florida will win the conference. …
Bobby Kotick’s lawyers sent me a bad email (and later apologized)
The message I had received was unsettling—for a moment. Then it was just really confusing. Back on January 20 of this year, at 5:15pm ET, I received an email with the subject line “Legal Correspondence re Bobby Kotick.” It was from the law firm Clare Locke, a firm I’d heard had been emailing reporters in recent years about their coverage of Kotick, the former, longtime CEO of Activision Blizzard. The letter was threatening. A lawyer from the firm introduced themselves as “defamation counsel to Bobby Kotick.” They issued a “demand” that I “correct” a Game File article I’d published a week prior. The article that had irked them had been a scoop of sorts. I’d written about a a 2022 lawsuit brought by a Swedish pension fund, AP7, over Microsoft’s purchase of Activision Blizzard. The suit wasn’t news, but I was first to review and report about Kotick’s extensive pushback to the fund’s claims. The pension fund’s core contention was that the sale had been rushed by Kotick to avoid the consequences of sexual misconduct scandals swirling around the company in 2021. (He’d not been accused of misconduct himself in those suits, to be clear.) As I wrote at the time, Kotick had denied the allegations of the rushed sale. Beyond that, Kotick used a December 2025 reply to the Swedish fund’s lawsuit to assign blame for those workplace scandals, the bad press and even for the AP7 lawsuit. I’d found Kotick’s arguments novel and newsworthy. Across nearly 3,000 words, I explained Kotick’s take: that a Swedish gaming company was behind the Swedish fund’s lawsuit (the Embracer group; they denied it); that the Microsoft-Activision deal was not rushed and was secured at what Kotick felt history had proven to be an optimal price for shareholders; that he believed a conspiracy of people at unions government agencies, PR firms and the media had spun up claims of widespread workplace misconduct at Activision Blizzard in 2021. The article gave context for all of this, letting readers assess the claims and weigh their credibility. As I’d later write to Kotick’s lawyers: I would be surprised if you could point to any news article about Bobby Kotick in the last five years that has spent more of its wordcount articulating his point of view. He is welcome to do an interview with Game File any time. Nonetheless, there they were in my inbox that Tuesday evening: Clare Locke, the law firm that secured a $787.5 million settlement from Fox News over false statements about voting machines. They were emailing me, threatening that failure to comply with their demand could support a claim of “actual malice,” a legal standard for libel. Unless… Unless, they said, I added a key paragraph to my article. This was a paragraph that I already knew Kotick’s lawyers had been emailing reporters about for at least a year, and it was a paragraph that was already in my article. The paragraph they wanted is from a 2023 settlement that California’s Civil Rights Department struck with Activision Blizzard. The settlement had closed a two-year-old lawsuit over alleged sexual discrimination at the game maker. The paragraph basically said that claims of systemic or widespread sexual harassment—or of execs like Kotick tolerating such behavior—had never been proven. I’d already seen proof that Kotick’s lawyers had pushed for the settlement’s language to be added to reports about 2021 sexual discrimination and misconduct lawsuits brought against Activision Blizzard by California and, separately, by the U.S. federal government (both suits were since settled). I knew that Kotick and his lawyers felt that the California settlement language should be mentioned in the same breath as references to an article he hated and denied, a November 2021 Wall Street Journal article claiming Kotick knew “for years” of sexual misconduct at Activision Blizzard. So, in the Game File article that Clare Locke emailed me about, in the interest of ensuring I was being fair and balanced regarding the person I was covering, I had already included the following excerpt from the California settlement [emphasis added in bold]: (Kotick has repeatedly pushed back against that November article in the Wall Street Journal, citing among other things, language from a court-approved consent decree as part of Activision’s 2023 $54 million settlement over the California suit. It states: “no court or any independent investigation has substantiated any allegations that: there has been systemic or widespread sexual harassment at Activision Blizzard [or] that Activision Blizzard senior executives ignored, condoned, or tolerated a culture of systemic harassment, retaliation, or discrimination.”) On the evening of January 20, I was incredulous. How do you write a four page legal threat about a week-old article and miss this? While scrambling to also make my kids dinner, I wrote a lengthy reply to Clare Locke’s lawyers, basically asking them to cool it with the threats and to start making sense. In part, I wrote: I hope you can understand why I am having trouble understanding what you’re asking for, when the statement you’re demanding to see in Game File’s article already appears in Game File’s article. Actual malice, as you know, refers to a reckless disregard for the truth. I’m not sure what your argument is when my article already states your client’s position. Here is where I should remind you, the reader, that I am an independent journalist. I publish on Substack, and have availed myself of the Substack Defender program that provides writers on the platform with legal support. But I’m no Wall Street Journal or New York Times, nor even IGN or GameSpot when it comes to such things as, well, having a legal department. There are more fun things for me to do as an independent journalist than writing back to a powerful law firm representing a very rich person. On the evening of January 20th, I was just trying to cook some pasta, broccoli and chicken nuggets for hungry twins. Nevertheless, I wrote back to them. Two hours later, I got a reply. Summarizing: A lawyer for Clare Locke said they’d “reviewed an incomplete version” of my article and they “apologize for the confusion.” (My guess: Someone didn’t read past the piece’s paywall, even though they’d had a full week to scrounge up the funds to do so. What I’d published above the paywall was balanced, as was what came after.)1 That was almost that, but something about the situation bothered me. The letter had been marked “confidential.” I hadn’t agreed to that, and I disliked the idea that powerful people on the beat that I cover would act like they could unilaterally control what I might tell my readers about. On the morning of the 21st, having already gotten the powerful law firm to back off, I oh-so-wisely re-approached them with just one more thing. I thanked them for clearing things up the night before but noted that I’d never agreed to keep their letter confidential. I’m all for agreeing with a source to keep things off the record, but that’s the thing. We have to agree. You can’t just declare it. I’m not bound by that. I wrote to Clare Locke’s lawyer and said, in part: I trust the matter is resolved. It was disappointing to have to spend less time with my kids last night in order to address your legal letter. Family time’s precious. I will add, for clarity’s sake, that, while your letter stipulated that it was confidential, I did not agree to those terms. In the future, should you wish to communicate with me confidentially, I am happy to agree to classifying our communication as “off the record” prior to the actual communication—as is standard with any professional journalist. The firm’s lawyer replied, not directly addressing the confidentiality issue but asserting that the matter was resolved. Why I didn’t write about this until now In May, I told this story on an episode of Simon Parkin’s podcast My Perfect Console, but I held off on sharing it directly with Game File readers. I held off to avoid stepping on the toes of another reporter, the journalist Mikhail Klimentov. He’d interviewed me in the spring of 2025 about an investigation he was working on regarding Bobby Kotick lawyers pressing the media to add the California settlement language to stories referencing the 2021 lawsuits. And about how some outlets had changed their stories and how some simply deleted them. Initially, I was a third-party source for Klimentov’s reporting, providing on-the-record context about the state of the games media. I’d heard about the letters but hadn’t put the time into pursuing the story. I thought it was interesting, and I was glad he was covering it. When the outlet that Klimentov was going to run his reporting in dropped the story, I began talking to him about potentially publishing his reporting on Game File. This was tentative. Then, in January, when I got my own Clare Locke letter, I told Klimentov that I didn’t think it would make sense for me to publish him, not with me now being part of the story. I had my own version of this situation to tell. But I wished him well and said I’d refrain from telling my tale until he could get his reporting out there. Last Friday, Klimentov finally ran his investigation, in a nearly 48-minute video report for People Make Games. It covers various Clare Locke letters, how media outlets reacted to them and what to make of all this. His video weighs the merits of Kotick’s request and looks at some of the articles that were changed (one of which had a glaring error). I highly recommend watching it: (Note, I did some editorial consulting for a People Make Games video last year but nothing to do with this report.) While many outlets haven’t left any public evidence that they updated their Kotick coverage at Kotick’s counsel’s request, at least one has. Back in October 2025, the mainstream outlet Reuters applied the most transparent article update I’ve seen. On the 3rd of the month, they published an article about the state of the Swedish pension fund’s lawsuit. Days later, they added this: In an October 7 letter sent after publication of this article, Kotick’s defamation counsel disputed claims of widespread harassment at Activision. “Not a single investigation, court finding, verdict, or ruling ever concluded that there was any merit” to the allegations of widespread harassment at Activision, Tom Clare and Nick Brechbill of Clare Locke wrote. I’ve never added a statement to my article on Game File, because none was needed. Not for fairness’ sake, nor to meet any demands of Kotick’s lawyers. I’ve nevertheless wanted to be transparent with Game File readers. If someone powerful is questioning my reporting, is threatening a lawsuit over it… if that threat is part of a pattern involving other games media outlets and if, in my case, the whole thing ran into a ridiculous ditch, I want you to know about it. I also share this as a real example of how I handle threats to Game File. I stand up for my own reporting, even when it’s not comfortable to do so. (In that same category of standing up for the work I do, I’ll point to an incident in late August. Asocial media post I published to X/Twitter regarding reporting I did about Take Two and GTA VI was hit by bogus copyright claim by a firm working for the publisher. I pushed back and got it reversed; even while a bigger games media outlet let themselves be censored. This is the other reason I’m sharing this story: To emphasize that dealing with threats from powerful people is one of the costs of covering the video game industry independently and as fearlessly as possible. This is where you come in. Your support, through free and paid subscriptions (sign up here!), can help me keep doing that. It can ensure that I’ve got the back-up I need. And it can help make fiascoes like this even less of a worry, so I can spend my evenings dealing with more important things, such as making sure I steam the kids’ broccoli just right. 1 That pension fund lawsuit I wrote about in January has all but gone away. In May, the fund and Activision Blizzard owner Microsoft agreed to settle. Lawyers for the fund brokered a $250 million settlement for former Activision Blizzard shareholders. In the settlement, the fund’s lawyers changed their rhetoric. Where once they’d questioned the meaning of the California settlement language, they adopted a version of it for themselves. Several weeks ago, while seeking to get a court to sign off on the terms of the settlement, they proposed their fee for their work in the case: $60 million.
How the phrase 'Lower 48' became a fixture in Alaska's high-stakes Senate race
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A 72-year-old photo is revealing news clues about 'Meretneith,' a powerful woman who may have ruled Egypt 5,000 years ago
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