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Constitutional Amendments Bring Polarizing Politics to The State
Partisan clashes have spawned votes on three proposed amendments to the Wisconsin constitution, prompting much debate over GOP and Democratic policies.
Drexel University hosts Business of Women's Sports conference
Women's sports are gaining momentum in Philadelphia, and leaders say the city is poised to build on that success.
Drexel University hosts Business of Women's Sports conference
Women's sports are gaining momentum in Philadelphia, and leaders say the city is poised to build on that success.
Siletz Tribe receives $11.7M USDA grant for rural broadband
The U.S. Department of Agriculture has awarded $11.7 million to the Confederated Tribes of Siletz Indians to expand high‑speed internet access in rural Lincoln County, Ore., the agency announced. The funding comes through USDA Rural Development’s ReConnect Program, which supports broadband deployment in areas that lack reliable service. The project will build a fiber network […]
Modern industrial building near interstate interchange offers flexibility for businesses
A modern industrial building with exceptional access to two major interstate highways offers a desirable location in northwest Sioux Falls with the ability to adapt for various business needs.
NWACC to build new trail, amenities
NorthWest Arkansas Community College in Bentonville received a $680,000 grant from the Arkansas Natural and Cultural Resources Council to support the development of a campus bike loop and new recreational...
NWACC to build new trail, amenities
NorthWest Arkansas Community College in Bentonville received a $680,000 grant from the Arkansas Natural and Cultural Resources Council to support the development of a campus bike loop and new recreational...
Fight at the Museum: Inside the Collapse of the Academy of Natural Sciences
“This is 50-plus years in the making.” Can anything still save the beloved Philadelphia institution?
SpaceX offers employees extra pay to help build its data centers
Elon Musk's rocket company is offering employees a 20% pay bump if they volunteer to move, according to an email seen by Business Insider.
Developer behind collapsed recreation complex plan in Johnston files bankruptcy
Ignit Johnston LLC, the group behind the failed proposal to build a youth sports and recreation complex in Johnston, has filed for Chapter 11 bankruptcy, just weeks after a judge ordered the developer to pay more than $4.2 million in damages to Lincoln Savings Bank in a foreclosure case filed by the bank. Lincoln Savings…
Healthy rapport with doctor builds healthy habits for life
Rigley Bowar has been participating in Special Olympics since he was a youngster. Through it all, he has had the same primary care doctor.
City sales tax builds on upward trend, exceeding budget projections to date
Sales tax revenue continues to trend above expectations in Sioux Falls this year, driven largely by business spending versus consumers.
Saints GM Loomis in Paris addresses criticism from team owner amid slow start to season
VERSAILLES, France (AP) — New Orleans Saints general manager Mickey Loomis said Wednesday he understands the recent criticism from owner Gayle Benson but asked for patience with what he called a “young developing team.”Benson, in comments before the Saints (2-4) beat the New York Giants last Sunday, said Loomis and his staff are responsible for “building a roster capable of sustained success.
Hollywood’s Top 20 Business Managers 2026
From catalog sales to private jets, these trusted career gurus help stars from Aniston to Zendaya build their fortunes — and navigate life beyond the balance sheet
Vikings Handed Worrying Packers Message Despite 5-0 Start
The Minnesota Vikings are 5-0 and sit atop the NFC North division heading into Week 7. Nonetheless, the Vikings do have teams on their tail, as both the Chicago Bears and Green Bay Packers are 4-2. Moreover, the Packers are building positive momentum to get themselves back in the race for the division as they […] The post Vikings Handed Worrying Packers Message Despite 5-0 Start appeared first on HEAVY.
Hoffenheim vs. Lyon preview: Team news & predicted lineups
After a much-needed 2-1 win over fellow Bundesliga strugglers Borussia Mönchengladbach ended their four-game losing streak at the weekend, TSG Hoffenheim will be looking to build on that result when ...
What goes wrong? Why most entertainment, sports celeb brands fail, struggle to make profits - These might be key reasons
New Delhi, Oct. 21 -- Celebrity brands often attract attention, but turning that interest into profit is harder. Fans may celebrate a launch without becoming regular customers. A famous name helps people notice products while quality decides whether they return. Experts say fame alone cannot build…
More needs to be done to support student mental health
When it comes to mental health resources at the University of Miami, numbers to call, sexual assault hotlines, therapy appointments and other resources aren’t hard to find. On paper, UM is doing exactly what it should to provide students with mental health outlets. But this support needs to extend beyond a counseling building and a
St. John’s University Honored at Historic Queens Chamber Building Awards for St. Vincent Health Sciences Center
St.
NDSCS Science of Leadership program helps students build leadership skills
Students receive $4,000 scholarships and gain experience through mentoring, interactive sessions and community service.
How the Washington Commanders Can Adjust Without Terry McLaurin
Terry McLaurin’s significant knee injury raises questions about Washington’s passing attack. But with Chig Okonkwo building chemistry with Jayden Daniels, Stefon Diggs producing consistently and Antonio Williams emerging as a reliable target, the Commanders have options.
Will a Chance to Reshape Business Models Help Law Firms Compete With Silicon Valley For Tech Talent?
Technologists without law degrees can't secure equity when working at a law firm. But some observers say that firms offer more rewarding opportunities to build tech infrastructure from the ground up.
College football mega boosters used to fund buildings. Now they buy QBs. What’s the payoff?
“It's absolutely a non-sustainable business model," said SMU booster Bill Armstrong. "But nobody can control themselves."
The Quiet Deadline Addition for the Rockies
The Colorado Rockies made several moves at the trade deadline as their rebuild continues. The pitching prospects the Rockies received in return rightfully got most of the headlines, as several of them landed in the Rockies' top 30. But a quiet addition to the Victor Vodnik trade with the Miami Marlins, infielder Connor Norby, became …
A counterintuitive way to build trust in measles vaccines and public health
Some experts say public health messaging would be more credible if it focused less on measles deaths and acknowledged that most children survive.
Ukrainian science part of European security architecture
Ukrainian scientists are already contributing to the development of a new security architecture, including by helping build a drone ecosystem. — Ukrinform.
China builds the world’s smallest wearable brain monitor with a cortex-wide view
The Airscope offers a window on the simultaneous activity of thousands of individual neurons in untethered lab animals.
TWICE’s Jihyo Departs JYP Entertainment After 21 Years + Launches New Agency EMITHAUS
Jihyo is beginning a journey with a new company! On October 21, the TWICE member took to her Instagram to share the following handwritten letter: Hello, this is Jihyo. I’m writing today because there’s something I’d like to share with you. After 21 years, my journey with JYP Entertainment, which began when I was just a child, has come to an end. Trying to put 21 years into just a few words is harder than I thought it would be.From childhood through my teenage years and into adulthood, I’ve spent most of my life at JYP.There were good days and difficult ones, but one thing I know for certain is that every one of those moments has shaped who I am today.I want to express my sincere gratitude to everyone at JYP who has been by my side and helped me grow over the years.I will always cherish the time we shared and the memories we made together. To me, independence is not so much a conclusion about the time that has passed, but a choice about how I want to live going forward.As the first step in this new chapter, I have established my own company, EMITHAUS.Just as “EMIT” means to “express or release,” I hope this will be a place where I can freely explore and bring to life even the possibilities within me that I have yet to discover.As I step away from a familiar environment and begin working in new ways, I will approach every decision and every endeavor with even greater thoughtfulness and responsibility. I also want to make it clear that this decision does not mean saying goodbye to the team I’ve been part of for so long.TWICE is an irreplaceable part of my life.Just as I cherish all the years we’ve shared, I look forward to all the moments still ahead of us.I will continue to stand on stage with my members and keep building more memories together for many years to come. Above all, I want to thank ONCE for believing in me and standing by my side for the past 11 years.I know that watching someone grow and change through so many stages of life and continuing to support them along the way is never something to be taken for granted.Thank you for giving me the courage to keep moving forward through your unwavering trust, love, and support.I will continue to fill the years ahead with choices and efforts that stay true to who I am and keep growing as an artist who lives up to all the love and support you’ve given me. Thank you. https://www.instagram.com/p/DevZGTkmTD2/ Jihyo is the third TWICE member to officially leave JYP Entertainment following Jeongyeon and Chaeyoung. Wishing Jihyo all the best on her new start!
UAB opens Shelby Biosciences Research Building to advance health
UAB has opened the Shelby Biosciences Research Building, an eight-story facility named after former U.S. Sen. Richard Shelby, aimed at supporting health research and creating new jobs.
Bickerstaff Gives the Pistons Crowd Credit for the Comeback
Detroit's 3 p.m. crowd packed the building, and J.B. Bickerstaff felt it in the second half. #Pistons
Healthcare and Life Sciences Leaders Build on NVIDIA to Advance Drug Discovery and Expand Patient Care
NVIDIA today announced collaborations with leading global healthcare and research organizations to advance protein design — including through a newly released open model, RFD4-Proteina — accelerate drug discovery and bring greater precision to cancer care.
New Richland Lab Could Transform How Scientists Study Microbes and Boost Regional Jobs
The BriefGroundbreaking held Tuesday: PNNL officially began construction on the M2PC lab, a 30,800-square-foot facility funded by the U.S. Department of Energy's Office of Science that will study soil microbes to improve crop productivity and develop new biotechnology applications. The facility will be open to researchers from around the nation and the world.Research timelines could shrink dramatically: The facility's automation and AI capabilities could reduce experiments that currently take six months to just 72 hours, allowing scientists to explore more possibilities faster than ever before.New jobs coming to the Tri-Cities: The project is expected to create positions for automation engineers, AI experts, roboticists, technicians, and skilled craftspeople, with the facility opening in 2029.RICHLAND, Wash. — Pacific Northwest National Laboratory broke ground Tuesday on a first-of-its-kind facility that could accelerate scientific discoveries about the microscopic organisms living in soil—organisms that may hold the key to growing more food and developing new energy technologies.The Microbial Molecular Phenotyping Capability, or M2PC, represents a significant investment in automation and artificial intelligence to speed up research that traditionally takes years to complete. The 30,800-square-foot facility will house more than 100 connected automated instruments designed to study microbes at a pace and scale never before possible.Reshaping Agriculture's FutureThe M2PC facility will not put a new tool directly into a farmer's hands tomorrow morning, but it is actively reshaping the commercial pipeline to solve agriculture's biggest headache with biologicals: inconsistent field performance. For years, PNNL researchers have explored how microbes work and how they might help produce useful materials, advance energy technologies, and address challenges involving critical materials and minerals. But those experiments have been limited by what researchers could accomplish by hand."They can be used to provide nutrients to a plant so that the plant would grow more. So, like increasing your crop productivity, for example," said Douglas Mans, PNNL's Associate Laboratory Director for Integrated Discovery Sciences.PNNL's own research shows soil microbes can help plants access nutrients and withstand drought—benefits that could prove crucial as farmers face growing environmental pressures. The M2PC facility will allow scientists to identify and optimize useful microbes faster than ever before, accelerating the development of biological solutions that actually work consistently in the field.What Makes M2PC UniqueThe Microbial Molecular Phenotyping Capability differs from traditional research labs because it operates as a first-of-its-kind, AI-enabled autonomous laboratory designed to shrink experimental timelines from years down to months or weeks. The M2PC lab will connect more than 100 automated instruments to grow microbes, prepare samples, measure their behavior, and link observations to the molecular processes behind them. Artificial intelligence will help analyze results and guide the next experiments, allowing scientists to explore more questions faster.Deb Gracio, PNNL Director, emphasized the transformative potential during Tuesday's groundbreaking ceremony: "Research that has taken years will become possible in months and hopefully in weeks."That acceleration is already being demonstrated. PNNL's smaller automated lab, called the Anaerobic Microbial Phenotyping Platform or AMP2, completed three experimental cycles in just 72 hours—a process that normally would have taken about six months."That normally would have taken us about six months … and we were able to do that in 72 hours," Mans said.The AMP2 laboratory is not being closed or replaced. Instead, the current 1,800-square-foot laboratory serves as an active prototype and precursor for the much larger M2PC facility. AMP2 will continue operating as a separate lab designed to run anaerobic experiments—those conducted in the absence of oxygen—while M2PC will focus on aerobic research.Broader Applications Beyond AgricultureWhile improving crop productivity is one important application, the M2PC facility is designed to support research into multiple areas critical to national priorities. The lab will advance research into biofuels, manufacturing materials, and energy technologies. It will also help researchers understand how microbes respond to environmental changes and how to design biological systems for biotechnology applications.As a flagship component of the Department of Energy's Genesis Mission, M2PC represents a significant investment in using artificial intelligence and automation to accelerate U.S. scientific discovery. Dorothy Koch, Associate Director of the DOE Office of Science Biological and Environmental Research program, highlighted the facility's importance during the groundbreaking."M2PC will accelerate biological discovery and design," Koch said, noting that the facility is expected to conduct a minimum of 500 strain experiments per week, 100 microbiome experiments per week, and take a million measurements per month.Economic Opportunity for the RegionBeyond the scientific breakthroughs, the M2PC project represents significant economic opportunity for the Tri-Cities region. The facility will require hiring automation engineers, AI experts, technicians skilled in operating robotics, and specialized craftspeople to build and maintain the sophisticated equipment."We're anticipating that type of hiring," Mans said when asked about job creation.PNNL has already begun recruiting talent nationally and internationally for positions related to the smaller AMP2 lab, bringing automation engineers from cities like Boston and San Francisco to work in the region. The M2PC facility is expected to accelerate that trend."This capability won't really exist anywhere else in the world," Mans said, suggesting the facility could become a draw for scientific talent seeking to work on cutting-edge biotechnology research.Timeline and Next StepsThe M2PC facility is expected to open in 2029. Between now and then, construction crews will level and prepare the ground, while the building takes shape. Simultaneously, Ginkgo Bio Works, the automation contractor, will build the facility's automation components off-site so they can be installed as the building is completed.In the interim, PNNL researchers and the broader scientific community will begin planning the first experiments to be conducted in the facility, ensuring research is lined up and ready to begin as soon as the doors open.The groundbreaking ceremony included representatives from the Department of Energy, PNNL leadership, and elected officials at the federal, state, and local levels, underscoring the project's significance to the region and the nation's biotechnology future. News The U.S. Department of Energy Secretary tours Pacific Northwest National Laboratory Dan Hanson, Apple Valley News Now News Beyond DNA: Scientists Explore New Frontiers in Biology Research Dan Hanson, Apple Valley News Now News TRIDEC optimistic that Hanford, PNNL will see funding in national budget Robert Desaulniers News Big picture science: monitoring the Yakima River Basin News PNNL research could shape the future of fighting fentanyl COPYRIGHT 2026 BY APPLE VALLEY NEWS NOW. ALL RIGHTS RESERVED. THIS MATERIAL MAY NOT BE PUBLISHED, BROADCAST, REWRITTEN OR REDISTRIBUTED.
Woodside Health adds Phoenix-area medical office building to its portfolio
Healthcare real estate firm purchases Grand Professional Plaza in Surprise, Arizona
People Are Vibe Coding the Ads Out of Their Smart TVs: Here's How
A viral Claude Code prompt lets Android smart TV owners switch off sponsored rows and tracking software and build their own home screens.
How governments worldwide are shaping what AI can say about politics
With the U.S. midterms approaching, about one in five voters has asked AI chatbots about elections and politics, a recent survey found.
October 22 Vallejo/Vacaville Arts-Entertainment Source: Faces and Places
“Building APAPA with you has been one of the greatest honors of our lives. We are proud of these past 25 years, and we are excited to see what this generation and future generations will do next,” C.C. Yin proudly said.
Apple CEO John Ternus says design still means everything & includes whimsey
"Design is how it works" rings true at Apple today, and John Ternus wants to assure everyone that respect for the user and building products that are beneficial is "job one."
A community health initiative in low-income areas may reduce hospital admission rates
In this longitudinal cross-sectional RCT, 30 low-income apartment buildings in Ontario received visits from the community paramedicine clinic, resulting in…
Opero Relaunches as a Firm That Designs, Builds, and Operates Custom Business Systems
MIAMI, October 20, 2026--Opero (opero.com) has relaunched as a services firm that designs, builds, and operates custom business systems that replace SaaS platforms like Salesforce. The firm designs how a business should work, including the process and the experience for staff and customers, then architects, builds, and runs the system.
Creator Economy Minor Builds the Business Skills Behind the Content
The first academic pathway into the creator economy pairs Newhouse and Whitman expertise to help students master both the creative and business sides of digital content.
Supermicro Provides First Quarter of Fiscal Year 2027 Preliminary Business Update
SAN JOSE, Calif., October 20, 2026--Super Micro Computer, Inc. (NASDAQ: SMCI) ("Supermicro" or the "Company"), an AI, Enterprise, Storage, and 5G/Edge IT Total Solution Provider, featuring Data Center Building Block Solutions® (DCBBS), today is providing a preliminary business update for the first quarter of fiscal year 2027 (Q1’27), ended September 30, 2026, and schedules earnings call for November 3rd at 5pm EST.
Phoenix owner Mat Ishbia: "Building a sports empire" doesn't always work
Private equity firms are pouring billions into professional sports as franchise valuations soar.
University of Maryland expands key reproductive health program
The school is using more than $16 million in state grant funds over five years to build on previous work that already trained more than 100 clinicians, students and other health professionals in abortion care.
Democrats fear slippage with Black voters makes Michigan Senate race feel ‘far closer than it should’
Abdul El-Sayed often talks about building a new and broad coalition of Michigan voters. A looming question in the state’s pivotal Senate race is whether he can keep the old one intact — particularly with the Black voters who are pivotal to any Democratic victory.
Big software firm is moving headquarters from Chicago to downtown New Orleans. Here's why.
"Talented people shouldn’t have to leave Louisiana to build careers at the forefront of that transformation.”
La Mesa baker turns a family passion into a full-time business
La Mesa baker Megan Loney turned a sourdough hobby into Gemini Twins Bakery. Rising at 2 a.m. while raising four children, she’s building a thriving family business one loaf at a time.
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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A note to readers: Science, accountability and elections
Dear readers, As early voting begins, I wanted to share some news — and why it connects to the decisions we make at the ballot box. I’ve been selected for the inaugural cohort of the South Atlantic Climate Journalism Hub mentorship program, hosted by Covering Climate Now. I’m excited to join this group, learn from scientists and fellow journalists, and expand my science reporting. Science directly ties to governance. Local officials make decisions about where development goes, how infrastructure is maintained, what emergency preparations receive funding, and how communities rebuild after disasters. Understanding the evidence behind those decisions helps us evaluate whether our government is serving us well. Here in western North Carolina, those connections are all around us, in Lake Lure and beyond. Flood maps inform decisions about property and development. Engineering assessments help identify risks at dams and bridges. Rainfall forecasts guide emergency preparations. Geological information helps explain landslide hazards. Water testing gives communities information they need to assess conditions. Meteorologists’ knowledge and public perception of weather events shape public safety. Each involves scientific or technical knowledge. Each also raises questions about public responsibility: What did officials know? How did they use that information? What did they tell the public? What did taxpayers receive for their money? A study can identify a problem. Elected officials still have to decide what to do about it, how to pay for it, and how to explain their choices. Reporting should examine both the evidence and the response. That is where I want to strengthen my work. My reporting on Helene recovery, infrastructure, flooding, public safety, and public spending has repeatedly brought me to questions that require scientific expertise alongside public records. This mentorship may help me better understand the research, ask more precise questions, and explain the answers clearly. I also bring the perspective of someone living with these concerns. I live downstream of Lake Lure Dam, and landslides affected my property during Helene. Those experiences bring urgency to my questions. Careful reporting helps establish the answers. Readers deserve to know what the evidence shows, where uncertainty remains, and whether officials accurately describe the information guiding their decisions. You also deserve scrutiny of proposed solutions: what they cost, what they are expected to accomplish, and what risks remain. Access to that information matters. As a mostly deaf journalist who relies on written communication, I will continue pressing for written public warnings, records, and explanations that people can read and use in real time. As you consider the candidates seeking your vote, consider how they approach evidence, preparedness, and transparency. Do they support local journalism, even when it’s not parroting a press release? Do they explain weather events clearly in plain English and explain their decisions after them? Make supporting records available? Acknowledge uncertainty? Follow through when a report identifies a risk? Those are practical questions about governing. Thank you for supporting Cops & Congress and the work that makes these questions part of the public conversation. I’m grateful to David Dickson and the CC Now team for this opportunity, and I look forward to bringing what I learn back to you. Annie DanceEditor & Publisher, Cops & Congress — Learn more about this newsletter, ethics policy, how you can help shape this work, and support it. Follow on X and Facebook. Send constructive criticism, fan mail, and tips with public documents for future stories: CopsandCongress@gmail.com ICYMI: View the Cops & Congress archive — Annie Dance is the publisher of Cops & Congress, a newsletter that analyzes what happens when crime, courts, disaster, democracy, and small-town policies collide. Views expressed here are covered by the First Amendment. Dance has a Bachelor of Arts from Manhattan University in Communication with a focus in Journalism and Government. She has been a journalist for over 20 years. Share Upgrade now or give a gift subscription
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Toppenish School District receives $7.5 million federal grant to expand mental health services for students
The BriefThe Toppenish School District has been awarded up to $7.5 million through Project AWARE (Advancing Wellness and Resiliency in Education), a federal grant administered by the Substance Abuse and Mental Health Services Administration (SAMHSA).The grant will provide up to $1.5 million annually over five years to expand mental health services, strengthen substance use prevention and intervention, and improve access to support for students.District officials say the funding will help address identified gaps in services, particularly drug and alcohol counseling at the high school level, and will allow the district to build capacity for long-term mental health support.TOPPENISH, WASHINGTON — The Toppenish School District has been awarded up to $7.5 million through Project AWARE (Advancing Wellness and Resiliency in Education), a federal grant administered by the Substance Abuse and Mental Health Services Administration (SAMHSA), to expand mental health services and substance use prevention for students.District officials said access to mental health resources has been limited, making it difficult for some students and families to get the support they need. The federal Project AWARE grant will help address those challenges by bringing schools and local healthcare providers together to better support students.The grant will provide up to $1.5 million annually over five years to expand mental health services, strengthen substance use prevention and intervention, and improve access to support for Toppenish students. Deputy Superintendent Dr. Jeff Camero said the district is focused on coordinating with service providers in the area to work as a unified team."We made the awareness with the grant. But looking at all the service providers in the area and how can we all together work as a team?" Camero said.Camero said the district wants to use those resources to reach students earlier and provide more support for those struggling with their mental health. The district plans to address a range of mental health challenges, from anxiety and depression to youth suicide risk. Camero emphasized the importance of supporting students in grades eight through twelve, where suicide rates are a particular concern."Making sure from anxiety to depression, making sure that we can help support our students at those levels, but also the youth suicide risk, looking at that as a top in this area, in our grades, you know, eight, for example, eight through 12, looking at suicide rate and looking at how whether we look at the ACES or whatever program we're looking at, that's federal, how that connects and how we can better serve our students with this extra funding," Camero said.The funding will allow the district to bring in additional staff, including mental health and substance use specialists, to work directly with students and connect families with community resources. The district is already posting positions, including a director role, with additional positions expected to follow.District officials are also thinking beyond the grant's five-year timeline. Brittany Kaple, Director of Public Relations for the Toppenish School District, said the intent is to build capacity and establish connections that will sustain mental health services even after the grant funding ends."We do have the director position already posted, with some of our other positions following really close behind that. But the intent is to, you know, it's a five-year grant, so those positions would be funded for that five years. But there's also the intent to build capacity and make those connections so that at the end of the grant, when that money, you know, if that money is not renewed," Kaple said.As student mental health needs continue to evolve, access to drug and alcohol counseling has become an important priority for the district. Kaple said teachers and staff have been raising concerns about the need for more support, especially at the high school level."And that was something that was also an identified need by our high school staff when the superintendent met with them last school year. They said that that was a really great need, something that they felt was a gap in services that we were providing for our students. And so this is going to be one way to help support that need," Kaple said.The Toppenish School District says its goal is to ensure students and families have access to the support they need, both now and in the years ahead. Additional positions, including drug and alcohol counselors and family engagement specialists, are expected to be posted in the coming weeks. News Sunnyside City Council navigates 2027 budget planning Monique Garcia News "Dancing with the Stars" champion J.R. Martinez shares message of resilience during Central Washington visit Tyler Wargo News Toppenish, Mattawa educators honored at state Educator of the Year Awards Erin Wencl News Kennewick educator named 2027 Washington Teacher of the Year Erin Wencl News Voters to decide the next Yakima County Sheriff Monique Garcia COPYRIGHT 2026 BY APPLE VALLEY NEWS NOW. ALL RIGHTS RESERVED. THIS MATERIAL MAY NOT BE PUBLISHED, BROADCAST, REWRITTEN OR REDISTRIBUTED.
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Colleges raced to build massive computer-science departments. Now the boom is turning to bust.
“Computer science isn’t the ticket to the American dream like people thought it was.”
Utah Democrats have been out of power for 50 years. As the state changes, here’s how they think they can win.
Utah seems poised to send its first Democrat to Congress in six years. Democrats and others say the state is nearing a potential turning point — and that outcry over data centers could be a sign of how to build progressive power in this longtime GOP stronghold.
13 Organizations Building Health and Community in Philadelphia
These Philadelphia organizations are improving food and nutrition security and advancing health-forward solutions rooted in community.