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Purdue leaders connect with NYC alumni to discuss the future of business
Two hundred New York City-based Purdue alumni and friends gathered Oct. 13 for a reception at the New York Athletic Club overlooking Central Park. Dubbed “Boilermakers in the Big Apple…
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.
Chig Okonkwo leads team in receiving
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Oak Ridge hosts Nuclear Science Week 2026 events
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Ryan Flournoy scores late touchdown in Week 6 defeat
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Omar Cooper Jr. hits triple digits in Week 6 vs. Patriots
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Keon Coleman scores on lone reception
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Khalil Shakir makes the most of limited opportunities
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Jameson Williams catches two TDs
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Ravens have few answers in coverage for Drake London
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Rashod Bateman leads Ravens in receiving
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Sixty-six yards for Zay Flowers in road win
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Terry McLaurin totals 62 receiving yards in Week 5
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Tre Tucker posts four catches in Week 5
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Garrett Wilson goes over century mark
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Makai Lemon finishes Week 5 with five receptions
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Parker Washington has first two-TD game of career
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Tyler Higbee good for five catches
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Davante Adams sees dip in production
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Tennessee Titans wide receiver Carnell Tate registered nine receptions for 145 yards on 12 targets in Week 4
Mark Andrews scores first TD of 2026
Baltimore Ravens tight end Mark Andrews posted five receptions for 27 yards and a touchdown on six targets in Week 4
Seven receptions for Dohnte Meyers
Bengals WR Dohnte Meyers receives bigger role and posts seven catches and 82 yards
Brenton Strange nearly reaches 100 yards in Week 4
Jaguars TE Brenton Strange leads team in receptions, receiving yards and targets in Week 4
Marvin Harrison Jr. scores TD in Week 4
Arizona Cardinals wide receiver Marvin Harrison Jr. posted a single 12-yard reception for touchdown on four targets in Week 4
Trey McBride records seven receptions
Arizona Cardinals tight end Trey McBride registered seven catches for 31 yards on 12 targets in Week 4
Michael Wilson flirts with century mark
Arizona Cardinals wide receiver Michael Wilson posted seven receptions for 95 yards on 13 targets in Week 4
Emeka Egbuka struggles with rookie QB
Tampa Bay Buccaneers wide receiver Emeka Egbuka posted just two receptions for 13 yards on four targets in Week 4
Matthew Golden scores again in Week 4
Green Bay Packers wide receiver Matthew Golden posted three receptions for 21 yards and a touchdown on seven targets in Week 4
Cowboys' touchdown with 40 seconds left beats Texans 34-30
CeeDee Lamb's 17th reception from Dak Prescott was the game-winner.
Five receptions for Stefon Diggs in Week 4
Commanders WR Stefon Diggs caught five of his nine targets in Week 4
Harold Fannin Jr. visits the end zone again on TNF
Harold Fannin Jr. managed just 27 yards on three receptions but did score his third touchdown of the season in Week 4.
Eight targets for KC Concepcion
KC Concepcion turned a team-high eight targets into 64 yards on five receptions in Week 4.
Denzel Boston leads Browns in receiving
Rookie Denzel Boston paced the team on Thursday night with 89 yards on four receptions as Cleveland topped the Steelers.
Pat Freiermuth scores late touchdown in Cleveland
Pat Freiermuth had a touchdown reception late in the team's Week 4 loss to the Cleveland Browns.
Browns can't cover DK Metcalf under the lights
DK Metcalf had a game-high 115 yards on five receptions during the team's three-point loss to the Cleveland Browns in Week 4.
Grayson Gallery accepting submission for Halloween-themed art show
GRAYSON, Ky. — The Grayson Gallery Board and volunteers will host the annual Halloween-themed art show with an opening reception and costume contest set for Oct. 30, the evening before
What Does Your Office Say About Your Business? by Jennifer Kraner
What does your space say about you and your business? More importantly, does it give you the best possible first impression? The minute a client, customer or patient walks through your door, they’re forming an opinion about your business – sometimes consciously, sometimes without even realizing it. Your space is communicating something about you, whether you intend it to or not. At Big Sky Design, we work with all kinds of commercial businesses, including many medical practices, law firms and other corporate offices, and I’ve seen first hand how much thoughtful design can influence that first impression. For businesses in medical, legal, and financial fields, three things are particularly important: trust, privacy and professionalism. Your space should communicate all three while also reflecting who you are as a business. That can be challenging, especially in a new construction project. Often, so much of the budget goes toward the actual construction that things like lighting, comfortable seating, artwork and finishing touches get pushed to the side. But those are often the elements that make a space feel complete – and memorable. Think about your waiting room. Is it comfortable? Is the lighting welcoming? Does the layout make sense? When someone walks through the door, do they immediately know where to go and whom to speak with? In a medical office, there’s another important consideration: privacy. Reception areas can become surprisingly noisy places, with phone calls, conversations between staff and patients, and people discussing personal information. Hard surfaces throughout a space allow sound to bounce around, making it difficult to maintain privacy. We recently worked with an eye doctor's office that had exactly this problem. The reception desk had a large opening, and staff were making and taking phone calls right next to patients who were waiting. We designed an acoustic treatment that acted as a divider between the staff and waiting areas. It absorbed sound, but it also became a branded design element. It was a visual reminder to everyone in the space to be mindful of their voices and what others might be able to hear. Those kinds of thoughtful details can make a tremendous difference. And good commercial design doesn't have to mean making your space flashy. Sometimes it’s as simple as a calming color palette, beautiful artwork, plants, carefully selected lighting or comfortable upholstered furniture. In a medical setting, those touches can help soften what might otherwise feel clinical and reduce anxiety for patients who are already nervous about an appointment. I’ve been in waiting rooms where everyone feels packed together, and you can hear every conversation – even what’s happening in the restroom next door. That’s not the experience you want to create. Your office should also feel like your business. Are you telling people that you’re clean and modern? Sophisticated and unique? Warm and welcoming? Or, unintentionally, are you telling them that your business is outdated? You don’t necessarily need a complete renovation to change that message. Fresh paint, updated lighting, new artwork, better seating or a few branded design elements can make a space feel current and intentional. At Big Sky Design, we’ve worked with radiology, dermatology, and dental practices, among many others. Every practice is different, but the goal is always the same: creating a space that reflects the business behind it and gives every person who walks through the door a positive first impression. Because your office is part of your brand. Make sure it’s telling the story you want people to hear. Read more at bigskydesignonline.com.
In Wooing Wavering Hispanic Voters, Trump Talks ICE, His Ballroom and Himself
President Trump veered off the topic at hand during a White House reception for Hispanic Heritage Month.
Bloomington Police mental health program shows positive results
Early results for Bloomington Police Department’s brain health program show increased client well-being, high satisfaction, positive community reception and a meaningful reduction in barriers to accessing mental healthcare.
Westminster artist Kathy Kemp exhibiting at Crowell Art Gallery
NEWFANE — The Crowell Art Gallery will present Held in Relation: Assemblages by Kathy Kemp, Oct. 2-31. An opening reception with the artist will be held Saturday, Oct. 3, from
Matthew David Hall, M.D., MBA, Installed as Endowed Chair in Pediatric Oncology at Baptist Health Herbert Wertheim Cancer Institute
September 4, 2026 – Matthew D. Hall, M.D., MBA, lead pediatric radiation oncologist at Baptist Health Herbert Wertheim Cancer Institute, part of Baptist Health Cancer Care, was formally installed as the Endowed Chair in Pediatric Radiation Oncology during a ceremony and reception held September 2 at Mr. C Miami in Coconut Grove. The installation ceremony […]
New Evanston Art Center exhibit explores mental health, taboos
The lobby of the Evanston Art Center is full of secrets laid bare in its latest exhibit, “Whispers in the Dark.” The exhibition, which had its opening reception Sunday, features the work of seven creators using a variety of artistic mediums. The pieces examine mental health and taboo topics, often utilizing macabre imagery. When entering...
Kalif Raymond shines on Monday night to continue hot start
Kalif Raymond led all players on Monday night with 90 yards on six receptions in the team's Week 3 win over the Eagles.
China’s Wang Yi delivers high-level warning to Japanese business delegation
The top diplomat urged Tokyo to learn from historical lessons, in highest-ranking official reception since bilateral relations soured in November.
Trump’s mail voting crackdown tests Postal Service leader who says he’s ‘not political’
During a lengthy interview, David Steiner seemed surprised at points by his reception in Washington. He insisted he wasn’t a “political person” and said he had no intention of stepping down despite the criticism. He dismissed heated congr…
CeeDee Lamb continues to shine
Dallas Cowboys WR CeeDee Lamb had seven receptions for 112 yards in the 34-31 loss to the Baltimore Ravens Sunday.
Deebo Samuel does a lot with a little in Week 3 win against Cardinals
Deebo Samuel's 80-yard TD reception on a day he wasn't credited with a catch highlights efficient performance from aging veteran receiver.
Mark Andrews held in check
Baltimore Ravens TE Mark Andrews finishes with three receptions in Week 3
T.J. Hockenson limited to two receptions
Minnesota Vikings tight end T.J. Hockenson posted two receptions for just 11 yards on four targets in Week 3
Ted Hurst III records first-career TD
Tampa Bay Buccaneers wide receiver Ted Hurst III posted a 40-yard reception on his only catch of the Week 3
Chris Godwin limited to 25 yards
Tampa Bay Buccaneers wide receiver Chris Godwin posted three receptions for 25 yards on four targets in Week 3
Stefon Diggs sees TD streak halted
Washington Commanders wide receiver Stefon Diggs posted 33 receiving yards on four receptions in Week 3, and he was targeted seven times.
Terry McLaurin has team-best 77 yards in Week 3
Washington Commanders wide receiver Terry McLaurin posted six receptions for a team-best 77 yards with nine targets in Week 3
Rashid Shaheed totals two receptions
Seattle Seahawks wide receiver Rashid Shaheed went for two receptions and 14 yards on three targets in Week 3
Jaxon Smith-Njigba totals 128 yards, two TDs
Seattle Seahawks wide receiver Jaxon Smith-Njigba rolled up 10 receptions for 128 yards and two touchdowns on 14 targets in Week 3
Wan'Dale Robinson scores TD vs. old team
Tennessee Titans wide receiver Wan'Dale Robinson finished seven receptions for 57 yards and a touchdown on a game-high 11 targets in Week 3
Carnell Tate posts game-high 58 yards
Tennessee Titans wide receiver Carnell Tate posted six receptions for a game-high 58 yards on nine targets in Week 3
Nine receptions for Tyler Warren in Week 3
Colts TE Tyler Warren caught nine of his 10 targets in Week 3
Malik Nabers totals five receptions
New York Giants wide receiver Malik Nabers posted five receptions for 26 yards on six targets in Week 3
DK Metcalf finds end zone in Week 3
Pittsburgh Steelers wide receiver DK Metcalf registered three receptions for 31 yards and a touchdown on five targets in Week 3
Tee Higgins makes pretty TD catch
Cincinnati Bengals wide receiver Tee Higgins posted six receptions for 90 yards and a touchdown on seven targets in Week 3
Malik Washington targeted 10 times in Week 3
Miami Dolphins wide receiver Malik Washington posted five receptions for 56 yards on a game-high 10 targets in Week 3
Travis Kelce scores TD in Week 3
Kansas City Chiefs tight end Travis Kelce registered two receptions for 59 yards and a touchdown on two targets in Week 3
Rashee Rice good for seven grabs
Kansas City Chiefs wide receiver Rashee Rice had seven receptions for a game-high 88 yards on nine targets in Week 3
Reception supports EPHC health care scholarship
The Eastern Plumas Health Care Foundation invites the community to gather for an afternoon reception on Saturday, Nov. 14, featuring locally inspired hors
ProTributeBands.com Clarifies Direct Booking Model for Corporate Event Entertainment Planners
SAN RAMON, CA - September 25, 2026 - PRESSADVANTAGE -ProTributeBands.com, the curated booking and lead generation platform for high-end tribute bands, has outlined how its direct-booking structure works for event planners seeking corporate event entertainment. Under the model, bands featured on the platform negotiate terms and close each booking directly with the client, while ProTributeBands follows up to keep the transaction moving smoothly.The structure separates ProTributeBands.com from traditional booking agencies that insert themselves into every contract. Rather than acting as an intermediary that controls the final agreement, the platform connects event planners, performing arts centers, festivals, wedding clients, and private party hosts with pre-screened, national-act-caliber tribute acts, then steps back so the parties can settle details themselves. The platform maintains contact with both sides to ensure momentum is not lost during the process.Founded by David Victor, former guitarist and co-lead vocalist of the multiplatinum band BOSTON, ProTributeBands.com features tribute acts covering artists such as Queen, The Beatles, ABBA, Journey, The Eagles, and Pink Floyd. Selected bands receive optimized profile pages and booking leads generated through the platform."Event planners often assume a booking platform means another layer of negotiation and markup," said David Victor, Founder of ProTributeBands.com. "The approach here is different. The bands negotiate terms and close each booking directly, which keeps the conversation honest and the details accurate. The platform stays involved by following up so nothing stalls between the first inquiry and the signed agreement."The direct-booking method reflects how corporate and private event planning typically operates. Planners frequently need to confirm technical requirements, stage dimensions, scheduling, and performance specifics with the people who will actually be on stage. By allowing those conversations to happen between the client and the band, the model aims to reduce miscommunication that can occur when information passes through a third party.ProTributeBands.com applies a screening process before an act appears on the platform, focusing on production quality, musicianship, and readiness for larger venues. The company ranks tribute bands across categories including Queen, The Beatles, The Eagles, Journey, Pink Floyd, and BOSTON tributes, drawing on performance quality and audience response.The ProTributeBands guide to hiring a tribute band offers additional context for planners weighing these decisions, covering topics such as understanding the audience and event, assessing entertainment value, viewing an act in person before hiring, and reviewing rider and insurance requirements. The guide addresses the practical considerations planners face when selecting an act for a corporate function, festival, or private celebration."A tribute production for a corporate audience has to hold the room the same way a headline act would," Victor said. "The vetting exists so planners can trust that the act they see listed can deliver at that level, and the direct-booking structure lets them confirm every detail with the band before committing."ProTributeBands.com serves clients across the United States and abroad, working with tribute acts that perform at performing arts centers, summer concert series, product launches, corporate parties, private parties, and wedding receptions. The platform also accepts artist submissions from tribute bands seeking consideration for inclusion. The company operates online at protributebands.com.###For more information about ProTributeBands.com, contact the company here:ProTributeBands.comDavid Victor(925) 236-0217hello@protributebands.com11040 Bollinger Canyon Road Suite E-938, San Ramon, CA 94582
Matthew Golden tallies first regular-season TD
Matthew Golden saw a game-high 12 targets, which led to 100 yards on five receptions and his first regular-season touchdown in the NFL.
Armacost honored among Prairie Business’ 2026 Leaders & Legacies
UND president recognized at reception celebrating seven regional leaders for their leadership, community impact and vision
ENTERTAINMENT: ‘Barbie and Friends’ come to ESSE Museum; Laman library hosts wrestling
ESSE Museum & Store opens “Barbie and Friends” with a 5-8 p.m. Thursday opening reception that offers the opportunity to “meet two real live Barbies in person,” according to a news release.
DeVonta Smith stands two catches from Eagles franchise history
DeVonta Smith needs two receptions against Chicago to become the fastest player in Eagles history to reach 400 career catches
Situation Report No.11: Earthquakes in Venezuela 2026 (M7.2 and M7.5)
Nearly three months after the 24 June 2026 earthquakes in Venezuela, the response has moved into early recovery while sustaining essential emergency operations. Efforts now center on maintaining continuity of care across mental health, sexual and reproductive health, maternal and neonatal care, NCDs, and rehabilitation, alongside restoring affected facilities, supporting transitional camps, and strengthening Health Cluster coordination as Emergency Medical Teams and international partners withdraw. Health system recovery is advancing, with 16 ASICs and 356 health facilities assessed (61% operational) and rehabilitation progressing under CERF, CFE and US funding, while fluctuating electricity, medication refrigeration and emergency-generator gaps continue to challenge the safe continuity of essential health services. Public health surveillance and prevention remain active, with 47,145 cumulative vaccine doses administered and 556 health professionals trained, while intensified surveillance in La Guaira and Miranda and mounting environmental risks from tropical rains and heatwaves continue to require sustained vector-control and water/sanitation action. Contraception remains the most consistent unmet need across assessed shelters, particularly among adolescents and young women, while mental health needs continue to rise across the transitional camps amid limited supplies and specialized personnel. PAHO/WHO continues to support the response with critically needed medical supplies and medicines, having shipped 46.6 metric tons to Venezuela to date, benefiting 72 actors and reaching 117,714 people with treatment through PAHO and partner donations, while sustained technical and logistical support to the Ministry of Popular Power for Health (MPPS) has strengthened the national supply chain and ensured the continuity of health services through the coordination, reception, and mobilization of international donations of essential medical products.
Trey McBride reaches end zone in Week 2
Cardinals TE Trey McBride leads team in receptions and receiving yards in Week 2
Holiday Event & Entertaining Guide 2026
As Orange County’s business calendar turns toward the holidays, where you gather says as much as what you serve. OCBJ’s Holiday Event & Entertaining Guide profiles the venues and culinary destinations setting the standard for the season, from client receptions to team celebrations to entertaining at home. This year’s lineup spans the county’s most distinguished […]
Four grabs for Malik Washington
Malik Washington led the Dolphins with four receptions against the 49ers in Week 2, turning those catches into 43 yards in the loss.
Eighty-three yards for Rashee Rice in prime time
Rashee Rice racked up 83 yards on four receptions during KC's Week 2 win over the Colts.
Nothing from Keenan Allen on SNF
Keenan Allen was targeted five times on Sunday night but finished with just one reception.
Chiefs grab 33-30 win in overtime thriller
KANSAS CITY, Mo. (KSNT) — Victory is secured in an overtime thriller. Patrick Mahomes finished the night 32-for-47 with 382 yards and three touchdowns. Kenneth Walker III picked up his second-straight game with over 100 yards for the Chiefs, with 117 yards on 24 carries. Travis Kelce had nine receptions for 101 yards and a […]
Tre Tucker hits triple digits with TD
Las Vegas Raiders wide receiver Tre Tucker racked up five receptions for 119 yards and a touchdown on seven targets in Week 2
Ashton Jeanty totals 63 scrimmage yards
Las Vegas Raiders running back Ashton Jeanty ran 21 times for just 48 yards in Week 2, while adding four receptions for 15 yards on seven targets.