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Darryn Peterson Could Unlock Lauri Markkanen’s Most Dangerous Role Yet
By drawing defensive gravity and facilitating as a playmaker, the dynamic rookie guard can transform Utah’s All-Star forward into a lethal, off-ball threat who punishes scrambled defenses.
Student-produced film captures Ireland sports experience | UNC Hussman School of Journalism and Media
The documentary created by a UNC Hussman School of Journalism and Media team premieres on campus Oct. 22 and Oct. 23. — This story, written by UNC Hussman alumnus Michael Lananna ’14, was originally published at unc.edu. — Carolina senior Anna Laible came up with the idea about a year ago. At the annual UNC Sports and Entertainment Summit, the journalism student walked up to then-athletic director Bubba Cunningham and took a chance. “Hi, Bubba, I’m not sure if you remember me, but I’m part of the student broadcast team from the Olympics,” Laible told him. “I have this idea to do an Ireland documentary on the football team.” Encouraged by the enthusiastic response to the proposal, Laible and a team of students from the UNC Hussman School of Journalism and Media worked diligently to turn that vision into reality. In August, Laible and seven peers traveled to Dublin, Ireland, with the Carolina football team and women’s soccer team. Equipped with video cameras, the student journalists covered both teams during their international games — both wins — and filmed scenes throughout Dublin, interviewing Irish locals, Tar Heel fans and key Carolina figures who helped make the trip possible. Back home, Laible’s team put the finishing touches on the documentary, with its first screening at 6:30 p.m. Oct. 22-23 in Carroll Hall room 111. The project is the latest in a long line of sports documentaries produced under the guidance of C.A. Tuggle, John H. Stembler Jr. Distinguished Professor. Since the 2008 Beijing Olympics, Tuggle and the Hussman school have sent journalism students to cover each of the Summer Games, and Tuggle’s students have also produced documentaries on Carolina teams that win national championships. But this Ireland excursion presented a new kind of opportunity. “This trip is really unique,” Tuggle said. “Bubba liked the idea, so we started working on it, and it’s all because Anna was forward-thinking and assertive.” Laible’s team worked to create a holistic depiction of the Dublin trip, billed as “Much More Than a Game.” The documentary’s 12 chapters cover Irish culture, music, trips to the Guiness Storehouse and the myriad connections between Tar Heels and Ireland. “Our main focus was to make sure we gave a whole encompassing idea of what this experience was like,” Laible said. “We wanted to show not just the student-athletes, but other students, other Carolina fans, Carolina alumni, the music and really incorporate that all in the documentary.” Joining Laible in Dublin were juniors Emily Brietz, Cooper Hall, Eliza Jennings and Katherine McCullough and seniors Molly Malek, May Proctor and Merrily Tew. Those students also traveled to Milan for the 2026 Olympic Winter Games in February. Those kinds of opportunities wouldn’t be possible without the support of UNC Hussman and, in the case of the Ireland trip, the Carolina athletic department. UNC Hussman students create Ireland trip documentary. (Submitted photo) “Never in a million years did I think I would have the opportunity to go to the Olympics or to the Aer Lingus College Football Classic, and now I’m even being presented with potential opportunities go to the Super Bowl,” said Malek, who served in a leadership role with Laible in Dublin. “I think that Carolina does a terrific job of connecting us to these opportunities that almost no other university does. This is a university where you have the opportunity to have an interdisciplinary education and to learn and experience a lot of things all at once.” With the support of UNC Hussman, Tuggle and fellow students like Malek, Laible turned a spur-of-the-moment idea into a documentary. When the film screens, Laible said she’s not quite sure what emotions to expect. “I’m a little worried that I might cry — not that crying is a bad thing,” Laible said, laughing. “But I’m really grateful for so many people helping, and I’m excited for everyone to see it.”
For young voters, political engagement is easier said than done
It’s a comfortably crisp Friday in October, and desperate for a win, University of Iowa fourth-year student Kasey Ludlow ambles up the creaky steps of one of Iowa City’s many historic homes. It’s one of 35 doors he’s knocked on that day, a tall task anywhere in such a politicized America, but perhaps even more...
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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BUSINESS UPDATE: A 138-year-old New York Manufacturer Gets Another Life in Fulton
E.J. Willis Co. was founded in New York City in 1888 and for generations it has made ship’s bells and other equipment for the U.S. Navy and American shipbuilders. This summer, the new owner moved the company’s equipment to Fulton By Stefan Yablonski E. J. Willis Co. cast brass ship’s bells — handcrafted in the United States since 1888. Ship bells, “built to last a lifetime at sea,” are now manufactured in Fulton. E.J. Willis Co. has moved its operation and manufacturing business to Fulton. They are currently operating out of N.E.T & Die. The company is now under the ownership of Jonathan Hyatt. He recently acquired the company after seeing a for sale note on Craigslist. [caption id=attachment_11110 align=alignright width=400] Entrepreneur Jonathan Hyatt is the new owner of E.J. Willis Co. He bought the business this summer after finding a listing on Craigslist by chance.[/caption] “I had been looking for something to do. I had been 20 years in corporate America and I was just tired of building someone else’s empire, you know what I mean? I was in consulting, pretty much a jack of all trades. I wanted to do something that I could call my own,” he explained. “I’d been on this path of trying to find a business to buy for about a year. One night I am on Craigslist about 11:30 in mid-April searching for something completely unrelated. At the bottom of Craigslist was a ‘things you might be interested in from outside of your area.’ There was an ad that said 138-year-old bell manufacturing company for sale. So, I clicked; why not, right? I wasn’t looking to buy a manufacturing company, but I went down the rabbit hole, absolutely fell in love with the history and ended up buying it.” He read the ad and responded. “I called and I am talking to the owner of the business for about two hours. We ended with, let’s have another chat and then come on out here and have a look. I figured, well I might wind up getting kidnapped and getting murdered or there is a real business here. But I gotta see it through,” he quipped. “And sure enough, there is a big machine shop operation there. The gentleman who owned it was retiring and in the corner of this shop is a little room where they make bells and they have been doing this ever since the company had started.” That’s the one constant thing that has survived the changes of the business. [caption id=attachment_11061 align=alignright width=300] Sales 1929 general catalog published by E. J. Willis Co, listing all the merchandise it sold. It’s like the Sears Roebuck and Co. catalog for marine parts.[/caption] “I drove home and told my wife, ‘This is what I am doing for the rest of whatever we are calling this — mid-life crisis.’ And she said, ‘absolutely you got to do it.’ I took out a loan and off we go.” He put in an offer on the business and they closed on July 1. He didn’t disclose what he paid for the company. “In terms of price, the seller and I have agreed to keep those terms private.” “I am finding that I am a business owner, an archeologist, opening files and cabinets that haven’t been opened in 100 years. It’s just amazing, just cool things that I am finding,” he said. “I want to build the business back. I want to be able to sell the bells to outsiders. I think they are beautiful. “It’s really a wild story about a company that started in lower Manhattan, exploded in the automotive space, sold parts to the Wright Brothers, moved into the aeronautical world and then landed in marine. The cool thing, I have been digging around and the gentleman who owned the company prior to me was not a digital guy. There is nothing out there. “Now I am sitting here with all the art from like the 1930s, the E.J. Willis boat catalog it’s like 250 pages of things this company used to make. It’s like the Sears-Roebuck and Co. catalog for marine parts. We are modernizing, we are staying true to the heritage of the business. It’s exciting to be the next steward of the whole business.” Initially he thought he’d move everything from the company’s plant in Middleville, Herkimer County, to Boston, out of convenience. “Then I thought let’s keep the foundry where it is. Let’s not move anything right away,” he said. “I want to get a good sense of what we’ve got, what works and what doesn’t. “I went to the foundry and met with the people there, lovely people, and said here is my position — I am buying a company where everyone is retiring. There is machining and polishing to be done, who would you work with around here? Without hesitation they said, ‘you need to go to NET Tool & Die and talk to Michelle [Shatrau]. She is a third-generation machinist and she runs the company now.’” So, he drove to Fulton. “I knocked on the door, they let me in. And she said, ‘how’d you get in here?’” he said with a laugh. “We became fast friends. I told her what I am doing. It must have struck a nerve. She has a very entrepreneurial background. I must have said something right because she came out and she said, ‘I’d love to help you. Why don’t we move the equipment that you have into my large building and I will give you a space to work at and use my team?’” [caption id=attachment_11058 align=alignleft width=300] Bell in progress awaiting assembly[/caption] It’s a great relationship so far. “We are bringing the business into the modern world. It’s been a lot of stuff all at once. But it has been very exciting,” he said. “We moved in a month ago [in July]. We closed on the business July 1. We moved a couple weeks later. We had all our equipment set up, electrical being run, everything. [caption id=attachment_11059 align=alignright width=300] Bell attached to a lathe going through the machining process[/caption] “We’re working with NET Tool & Die to rebuild production and preserve manufacturing processes that, in some cases, existed mostly in the heads and hands of the people who had been doing them for decades. We’re currently working on several 200-pound ship’s bells and bringing an old two-way manual bilge pump back into production.” He said he will be working with NET employees for the time being, adding, “I’d love to get to a point where I have so much growth that I need to hire people.” No one wakes up and says, ‘I am buying a bell today,’ Hyatt admitted. [caption id=attachment_11060 align=alignleft width=225] Bell after receiving a custom etching toward the bell mouth[/caption] “Everyone does wake up and has things that deserve acknowledgment and remembering — a promotion, a marriage, the birth of a child,” he said. “These are the things I feel like if there was something that could capture a particular moment in time and will literally outlast the person that bought it, a bell is that. We can engrave a bell if you get married or the birth of a child. We can put anything on a bell. “I have orders, yes. I am working on several orders right now. We have a little bit of busyness. But there are still some things to work out. I want to make things consistently and continue to move forward.”
A Major Labor Boom in CNY? Not Here Yet
With so many major projects going on — Micron, I-81 viaduct and others — job growth is predicted to increase. But so far the number of jobs in the region has declined By Aaron Gifford [caption id=attachment_11065 align=alignright width=350] Amy Stage, deputy director at the Manufacturers Association of Central New York (MACNY): “For us, the conversation isn’t just about filling jobs. It’s about creating sustainable pathways that help people see a future for themselves in manufacturing.”[/caption] The I-81 viaduct project in Syracuse and Micron facility construction in Clay are expected to create a major labor boom for Central New York. But for the time being, the number of jobs here has actually decreased in the past year. The New York State Department of Labor reported that, for the annual comparison of June 2025 to this past June, private sector jobs decreased by 2,200 or less than 1% to 260,000. Job gains were concentrated in leisure and hospitality (+700), private education and health services (+400) and other services (+300). Job losses for that annual period were reported in the areas of trade, transportation and utilities (-1,500); professional and business services (-1,000); financial activities (-500); mining, logging and construction (-300); manufacturing (-200); and information (-100). The public sector job count rose over 12 months, with most growth concentrated in education, the state Department of Labor reported. Looking ahead, the Central New York economy is expected to benefit from both the Micron and I-81 viaduct projects over a period of several years. Initial job growth is foreseen in construction and computer and electronic manufacturing. Spin-off jobs will be created in the areas of professional and business services, health care and education, the state Department of Labor said in an email response to Oswego County Business magazine. “Population growth tied to the buildout of Micron Technology semiconductor complex in Clay is also expected to bring more workers and residents to the region, increasing demand for transportation services,” the agency said. New York Department of Labor highlighted current or projected job growth trends in various sectors. An increase in defense-related contracts at local high-tech employers has continued to support employment growth in the computer and electronic product manufacturing sector and Micron is expected to generate thousands of direct and indirect jobs as the project progresses. This sector paid an annual average wage of $117,500 in 2025 and employment in the sector is projected to grow by over 60% through 2032, making it the fastest-growing industry in the region. Typical occupations in this industry include electrical, electronic and electromechanical assemblers, software developers and industrial engineers, the state agency reported. Specialty trade contractors include several different types of tradespeople — electricians, plumbers, pipefitters and steamfitters and HVAC (heating, ventilation and air conditioning) mechanics and installers. Many of these positions are trained through apprenticeships, the state Department of Labor reported. The Interstate 81 construction project is generating local jobs, including construction laborers, projected to grow at a 6.4% rate, and operating engineers and other construction equipment operators, projected to grow at a 7.3% rate over the next several years. Construction of the Micron Technology facility is also “creating thousands of job opportunities that will continue over the next two decades,” the state agency reported. The specialty trade contractors sector paid an annual average wage of $86,200 in 2025. For Central New York, the challenge isn’t creating jobs, it’s filling them. Amy Stage, a deputy director at the Manufacturers Association of Central New York (MACNY), said meeting this unprecedented growth is a much larger task than just replacing retirees. “We’re seeing workforce gaps at every experience level,” she said. “Companies need entry-level employees, experienced technicians, supervisors, engineers and skilled trades professionals. The opportunity is tremendous, but we need more people entering these career pathways.” Employers are looking for people who can troubleshoot, read technical information, use computers and learn new processes, not just perform repetitive production work, Stage said. To address this demand, the MACNY created the Manufacturers Talent Institute, which aims to connect students and job seekers with meaningful career pathways while helping employers build their workforce. Twenty-one companies have so far signed up to provide opportunities for more than 800 students. “For us, the conversation isn’t just about filling jobs,” Stage said. “It’s about creating sustainable pathways that help people see a future for themselves in manufacturing.” Several manufacturing facilities in the region are in the midst of expansion: • TTM Technologies, a leading U.S. manufacturer of advanced electronics and interconnect solutions for aerospace, defense and high-technology markets, which has a plant in DeWitt, completed its buildout of an additional facility, adding 400 jobs and expanding production of high-tech circuit boards for defense and critical electronics applications. • In Cortlandville, the Byrne Hollow Crossing Plant, a dairy manufacturing and processing facility, is increasing its operations, creating 100 new jobs. • The Chobani yogurt company is building a 1.4-million square foot dairy processing facility in Oneida County. This will create more than 1,000 good-paying jobs and double Chobani’s New York state workforce, Stage said. Stage noted several ways that local, state and federal governments can help spur manufacturing job growth in this region. Elected leaders and public agencies could work with industry representatives to create pre-apprenticeship and registered apprenticeship programs seeking to upskill workers and improve employee retention. New York state has a variety of grants, tax incentives and financing programs to support site preparation, infrastructure, workforce development and capital investment. The U.S. Department of Labor has a pay-for-performance incentive program that provides employers $3,500 per new apprentice hired and retained for 90 days. MACNY was previously awarded an $87,000 federal grant that will cover 25 apprentices at nine companies. The manufacturing skills gap in the United States, at its current rate, could result in 2.1 million unfilled jobs by 2030, according to a study by Deloitte and The Manufacturing Institute. In New York state, that gap is on pace to exceed 100,000 unfilled positions within six years. Manufacturing companies will be counting on more women to help fill that gap. While women make up half of the overall U.S. workforce, they only account for 29% of the manufacturing workforce in this country, Stage said. “Pre-apprenticeship programs like Real Life Rosies help to bring awareness to the manufacturing industry to fill some of the gaps, but we have a long way to go and it starts with educating people at younger ages about careers in manufacturing and earn-and-learn opportunities,” she said. As for Micron, that $100 billion-plus project, considered the largest private investment in New York state history, is expected to eventually create up to 50,000 jobs throughout the region, factoring in the spin-off opportunities for construction and supply chains. The plant’s foundation was poured on July 9. “As America celebrates its 250th anniversary, data and memory are foundational to the modern economy — and Micron is increasing our U.S. investments to more than $250 billion through 2035 to meet that moment,” the company’s president and CEO, Sanjay Mehrotra, said in a news release. Bechtel, Micon’s construction partner in the project, reported that 4,500 people will be employed to help build the facility, including skilled craft professionals, local union members representing various trades and apprentices. The Syracuse-based CenterState CEO organization tallies the regional labor force at 397,582 workers (Onondaga, Cayuga, Cortland, Madison and Oswego counties). Job growth isn’t limited to the Central New York region. For the larger area covering portions of the Mohawk Valley, the North Country, the Southern tier, and the western part of the state, there are 155,601 employees in the advanced manufacturing sector, and 155,275 construction workers. The agency’s 2026 Economic Forecast report noted that 41% of community and business leaders surveyed said a shortage of skilled workers in this area remains a problem, though 77% shared a positive economic outlook for the year ahead. Beyond the semiconductor and advanced manufacturing areas, local business leaders also see growth in small manufacturing companies, storage businesses, housing, unmanned flight technology and general construction. “Productive reuse of property,” the report said, “will hopefully continue to preserve unique architecture while driving business.” The report identified several challenges for economic growth in the region, including an aging workforce, outdated equipment, the rising cost of raw materials and “the disconnect between the speed of business needs and the pace of talent readiness.”
Daldrop Opens for Business in Southern Oswego County
$10 Million Facility in the L. Michael Treadwell Oswego County Industrial Park marks the largest expansion outside of Germany in the company’s 73-year history By Stefan Yablonski [caption id=attachment_11076 align=alignright width=450] Daldrop SBB CEO Jens Daldrop addresses attendees at the 2025 groundbreaking for the project. Daldrop also chairs the advisory board of Germany-based Daldrop Group.[/caption] A new era of cleanroom technology is underway in Central New York. The Daldrop Group’s advanced manufacturing facility and U.S. headquarters is physically built within the L. Michael Treadwell Oswego County Industrial Park. This industrial park is located in the town of Schroeppel. It marks the largest expansion outside of Germany in the company’s 73-year history. Daldrop SBB is based in Neckartailfingen, Germany. It is a global supplier of cleanroom technology, primarily to the pharmaceutical industry. It designs and builds advanced cleanroom environments for the pharmaceutical, biotechnology and medical technology industries. It nvested $10 million in the new project. “We broke ground in 2025; we were under construction all winter. We just opened this spring, early spring,” said Benjamin Morrow, operations manager and control. The company consolidated sites in Salina and DeWitt into the industrial park in Schroeppel, Morrow added. “The next move here is to maximize every square inch of this facility and then we are already looking at the expansion. So, it is more capital investment on equipment — definitely higher-end automation in additional equipment so we can produce more components and then to support the ever-growing base in North America,” Morrow continued. “We are the headquarters for service, maintenance and spare parts. So as Daldrop has more and more installations, they need more and more service, maintenance and spare parts. So that will come out of this facility as well — it already is.” “As a global leader in GMP (global manufacturing support) pharmaceutical cleanrooms for decades, I am very proud to bring manufacturing jobs to Upstate New York,” said Mike Sullivan, president of Daldrop US operations. Key to choosing Southern Oswego County [caption id=attachment_11077 align=alignright width=450] Daldrop SBB at the L. Michael Treadwell Oswego County Industrial Park when the company announced the start of construction.[/caption] Sullivan said that the selection of the Schroeppel industrial park was mainly due to the help of Operation Oswego County and two people in the organization. “Prior to being purchased by Daldrop International from the Stuttgart region of Germany, Vince Bongio was a founding partner in SBB Inc. as well as our head of engineering. We based out of Syracuse due to Vince’s skills in HVAC and the manufacturing capabilities found in Syracuse,” said Sullivan. Bongio moved to Syracuse from California in the 1970s to work in Carrier’s Industrial Division of Large-Scale Petrochemical Refrigeration. Next, he advanced to General Electric’s TV Tube Plant where he got into cleanrooms ,leading to his role of head of engineering for Clestra Cleanrooms where he met Sullivan, their New England distributor. “Vince Bongio is a phenomenal engineer. Formerly of Carrier, he grew up in California and went to Cal Poly,” Sullivan explained. “Carrier hired him right out of college and he moved to Syracuse. He is the reason we are in Syracuse today. He is retiring this year. We are very proud and his legacy is having brought Daldrop to Syracuse.” In 2000, Sullivan, Bazinet, Bongio Inc (SBB) was formed with engineering and manufacturing, based in Syracuse, and sales and construction based in Massachusetts as it is today. “SBB Inc. started in Syracuse. I had a design–build contracting firm out of Massachusetts that was primarily doing all the new technologies coming out of MIT,” Sullivan said. “I started a manufacturing side. A big thing for cleanrooms is the HVAC. Most cleanroom suppliers are architecturally focused people. The strength in Syracuse is HVAC. So, SBB developed with me running sales and construction out of Massachusetts and manufacturing out of Syracuse.” “Daldrop wanted to have a relationship in the States and of those who approached us, they were the only ones who really understood HVAC. So, we were the right fit for them. We did a joint venture focused out of Massachusetts from 2012 to 2018 leveraging their technologies,” Sullivan explained. “The commitment was if we brought their product to the States, we would do that if they built it here. “The pieces that had to be in place to make the investment, they wanted to acquire us, we were great with that. If you looked at business recommendations the general guidance was to build in a low labor area — something like North Carolina — but Syracuse had a strong background in HVAC and we chose Syracuse and Oswego County to be our headquarters in the States. So, it is built off of history, technology and the existing supply chain — bringing jobs back to the area.” During the initial discussions with Daldrop about coming to the U.S., SBB agreed to sell under the conditions Daldrop would manufacture in the U.S. There are many areas that offer incentives and economic packages, but the strength of HVAC expertise and skilled manufacturing was a big part of the discussions for site selection. Coming home [caption id=attachment_11078 align=alignright width=451] Construction moves forward in March at the L. Michael Treadwell Oswego County Industrial Park.[/caption] The second key person to building in Oswego County is Ben Morrow, Sullivan added. “Ben has been working with Daldrop SBB for more than 12 years and has advanced to COO of manufacturing and engineering. Ben grew up in Phoenix, so building a factory for the Germany company in Phoenix is a strong success for both his community and the appreciation of Ben’s skills as a team leader,” Sullivan said. “I went to high school in Phoenix. So, this is like full circle for me. It’s a small world,” Morrow said. “I hadn’t been back to Phoenix since graduation. This is one of the properties that John Trimble of C&S, he is the former president of C&S, he just retired, suggested. He and I were very good personal friends. John was from Mexico and I was from Phoenix. We knew each other from high school. And the architect of this building, Ed Smart of smartDESIGN Architecture in Batavia — I went to high school with him. So, this was a project that’s full circle a coming home kind of thing. The three of us knew each other — kind of like it was meant to be. Very serendipitous.” Schroeppel was one option for Daldrop to consider; the original intent was just to get a warehouse to store some product, he added. The facility is Daldrop’s largest outside of their native country. Total payroll at the facility will be approximately $2.4 million once fully staffed. “Here is 32,000 square feet and we plan to expand and put in an additional 10,000 square feet,” Morrow said. “We have 17.5 acres. We can put at least three more facilities here, just on this property. The master plan submitted for the current building is the first of possible three buildings on the campus.” “If we can find the right people and advance the production according to the plan, we should be able to grow for the next decade. One of the first jobs we filled was our new HR manager, with a primary focus posting and filling new positions,” Sullivan said. Stop the exodus, start hiring [caption id=attachment_11080 align=alignright width=452] Principals at the local Daldrop SBB headquarters, from left: Ben Morrow, Mike Sullivan and Jens Daldrop.[/caption] “I have been coming to Syracuse for 30 years. One of the things I had a hard time watching was the exodus of factories. One of the toughest things is to watch it with my partners’ kids who had to move away for jobs. It is important for us to give opportunity where people’s kids don’t have to leave the area to get work,” Sullivan said. “My responsibility is to find people who have skill sets that want to work and then I have to build opportunity for that work to happen. “After years of watching companies and Vince’s three sons all move out of the areas to get jobs, it is important to us to provide opportunities for the Syracuse region and help grow our company. We have been hiring for our new factory and will continue for the next few years.” “We are hiring and will continue to hire. Currently we have about 19 on staff right now,” Morrow said. “We expect to grow that by about 10 to 15 in the next 12 to 18 months or so. We are at 19 currently — one in the wings. It’s been great being able to hire locally. All these folks that we’ve been hiring, they all live within a few miles from here.” “We hired someone this past week (end of August). She grew up in the area, raised a family and is working down in Florida. She just took a job with us so she can move back and be with her family. We will be moving her back and she should be starting in October. We are very happy to see this happen,” Sullivan said. “I feel strongly about having a spot for the kids to not have to move out of the area. It is better to have people moving into the area.” Currently, Daldrop SBB has openings for finance manager, COO of construction and delivery, as well as mechanical, electrical designers and Revit modelers, construction managers, commissioning agents and many other skills that are needed. Along with Daldrop’s reputation in life science cleanrooms, there is a strong history in semiconductor, electronics, glass, photonics, aerospace and other markets. This may be helpful with any new technologies building in the market such as the Micron expansion and the support network, Sullivan said. “We acquired this property and closed on it two months before any announcement from Micron. It is serendipitous that they’re right down the street from us,” Morrow added. “Everybody started thinking ‘you guys are supporting Micron.’ We were here first. That is not a goal of ours. We may or may not … they are talking to us; it is an opportunity.” The long run [caption id=attachment_11079 align=alignright width=450] Benjamin Morrow, operations manager and control at Daldlrop, speaks during a recent ribbon-cutting event in Schroeppel.[/caption] “Long term, we will expand the Phoenix facility,” Sullivan said. “We built our facility with a campus approach. Sustainability is big. We designed our rooms to be more sustainable. Our building has no gas lines for heat. We put geothermal wells in the ground. We put heat pumps in for heating and cooling out of those wells and we put a large layer of solar panels up on the roof. We worked with National Grid for metering. Our building is a high efficiency model. We upgraded all the instillation and the glass filtering. So, it is a very green building. We will have a very minimal carbon footprint. It also adheres to LEED (Leadership in Energy and Environmental Design) construction standards.” “We are a bunch of HVAC engineers. We did a large scale geothermal and spent the money up front because we knew it made sense in the business sense in the environmental sense and sustainability,” Morrow said. “We have insulated metal panels on walls and roof; we are an envelope from the exterior.” Daldrop, as a global player, has a strong culture of sustainability that is found in all its products including the new facility. The building has been designed with (sixteen) 400-foot deep geothermal wells, high efficiency construction methods, approximately 70 kilowatt solar photovoltaic panels, electric vehicle chargers and 26% recycled content. “Daldrop thinks of long-term investing,” Sullivan said. “On the roof, photovoltaic panels supplement our power. Over half the energy that I use is coming from the sun. We have chargers up front for employee electric vehicles. This place is built to last. This slab that we are walking on, normal buildings are four inches, some go to six inches, we are nine inches all the way through — except where the heavy equipment is — that is 10 to 12 inches thick, solid concrete. It allows us to reconfigure for whatever type of equipment we want to bring in,” Morrow said. “We are authorized by Underwriters Laboratory to self-certify so we don’t need to have an inspector come out and recertify. We get audited often, but we certify our own electronics. The control system in this building is rather high-end. Our thermostat in every room is zoned, independent. We analyze the data; incorporate it with our solar panels.” “There is a lot of competition for people to work. It’s not just about how much salary they are going to make — it’s about the work environment, the ability for stability. We want to make sure our employees have the best environment to work in,” Morrow added. Similarities “One of the reasons I believe why Daldrop chose this area, Phoenix in particular, is because it is a village, a river-based village. Neckartailfingen in Germany where Daldrop is based is also a river-based village, manufacturing community. So, there is a lot of similarities — that smalltown feel,” Morrow said. “We have a lot of connections through multiple employees that lead back to Carrier, also. Everything came together, the timing everything.” “We are thankful for all the economic development support. Everyone has been helping make this happen. So, keep it up, it is working, that is all I got to say, Sullivan said. “If you look at historical industrial manufacturing, this region has skills that have been un-utilized. The northern industrial region has a lot of skills that if we can tap before they go away, we can leverage them. That is what we are trying to do. You’d be surprised at the supply chain left behind from Carrier — that supply chain is still there.” “Operation Oswego County has been fantastic,” Morrow added. “I can’t say enough good things about that group.” What Is Cleanroom Technology Cleanroom technology is a system of specialized engineering, filtration and operational controls used to maintain an extremely low concentration of airborne particles, microbes and chemical vapors. How It Works • Air Filtration: Uses HEPA or ULPA filters to remove 99.97% of tiny particles down to 0.3 microns. • Airflow Control: Directs air in a steady, unidirectional (laminar) or filtered turbulent pattern to push dust away from work areas. • Environmental Regulation: Maintains precise control over temperature, humidity and positive air pressure to block outside air leaks. • Specialized Attire: Requires personnel to wear full-body garments (“bunny suits”), gloves and masks to stop human shedding
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