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Bam Knight has big day in Arizona Cardinals win over Rams
Bam Knight had a big game for the Cardinals on Sunday.
John M. Williams on hunting rights, wolves and the urban-rural divide
Colorado hunter, angler and founder of Colorado Wolf Tracker, John M. Williams, joins The OpEdge to discuss Amendment 83, wolf reintroduction and the growing divide between urban and rural Colorado. Williams tells host and deputy opinion editor Antonio Olivero why he believes protecting hunting and fishing rights is essential to wildlife conservation, what he sees […]
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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WKTV's Boo-ti-ful Costume Contest 2026 is inviting the community to submit their best kids and pets pictures for a chance to win prizes.
Macron jets out of riot-torn France for Gulf trip as political pressure mounts
French President Emmanuel Macron left for Kuwait energy talks as riots raged, drawing sharp criticism from Marine Le Pen and Jean-Luc Mélenchon.
What Took the Air Out of MSP-Chicago?
It used to be the Twin Cities' top business travel corridor.
Video. Reaching for the Starmus: Science and music festival back in Tenerife
Video. Mixing Nobel prize-winners, astronauts and artists, the Starmus Festival has been uniting key figures over the past decade at one event to spark creativity, curiosity and a greater understanding of the universe. Its co-founder, Garik Israelian says its all about inspiring the next generation.
Dolly Parton's niece now handling Carl Dean's estate
Carl Dean's niece is now handling his estate, following the death of his wife, country icon Dolly Parton.
Nintendo Pays Homage to Original 1998 Commercial for The Legend of Zelda: Ocarina of Time in New Remake Trailer
Nintendo has released a new The Legend of Zelda: Ocarina of Time remake trailer that pays homage to the 1998 commercial for the N64 masterpiece — and we’ve got a comparison video showing just how close it is to the original.
Orlando Magic season preview: Opening schedule, win projection and what to know for 2026-27
Indiana Pacers season preview: Opening schedule, win projection and what to know for 2026-27
Cleveland Cavaliers season preview: Opening schedule, win projection and what to know for 2026-27
Brooklyn Nets season preview: Opening schedule, win projection and what to know for 2026-27
Toronto Raptors season preview: Opening schedule, win projection and what to know for 2026-27
Phoenix Suns season preview: Opening schedule, win projection and what to know for 2026-27
Golden State Warriors preview: Opening schedule, win projection and what to know for 2026-27
Oklahoma City Thunder season preview: Opening schedule, win projection and what to know for 2026-27
Minnesota Timberwolves season preview: Opening schedule, win projection and what to know for 2026-27
Portland Trail Blazers season preview: Opening schedule, win projection and what to know for 2026-27
How Aday Mara's height, weight, wingspan compare to Victor Wembanyama
Aday Mara is being billed as the next Victor Wembanyama stopper, which has led to people comparing their physical traits.
Paxton campaign showing ‘desperation’ with manufactured story: Political commentator
In the final days until election, President Trump is set to hold another rally in Texas for Republican Senate candidate Ken Paxton. MS NOW National Reporter Rosa Flores shares what she is hearing from voters there. MediasTouch Journalist Adam Mockler, Democratic Strategist Basil Smikle, Bloomberg Businessweek Journalist Max Chafkin, and Rolling Stone Magazine Politics Reporter Nikki McCann Ramirez join the Group Chat with Stephanie Ruhle to share their analysis.
Too Lost Music Group Strikes Deal with Xelon Entertainment
Too Lost Music Group strikes a deal with Xelon Entertainment, expanding its footprint and growing its reach for artists across Asia-Pacific.
Meta (META): Can WhatsApp Become a Meaningful Business Beyond Advertising?
Meta Platforms, Inc. (NASDAQ:META) is turning business conversations into revenue. Paid WhatsApp messaging helped Family of Apps other revenue grow 73% to $1.01 billion in the second quarter of 2026, following 74% growth in the first. That category includes subscriptions and other services and represented just 1.7% of group revenue. Expanding messaging alternatives make merchant […]
Review: Nintendo Switch Sports Resort (Switch 2) - A Winning Return To Wuhu
Woohoo Island
Western Way Entertainment brings trick riding, mounted shooting to ABAC PCA Pro Rodeo
When the PCA Pro Rodeo returns to Abraham Baldwin Agricultural College Nov. 13-14, the competition inside the arena won’t be the only thing keeping fans on the edge of their seats.
Alexa Tablet 12 Pro Review: Amazon Comes Out Swinging At The iPad
Amazon's Alexa Tablet 12 Pro is an entirely different beast than the Fire tablet lineup, and its more premium build and specs make it a legit iPad competitor.
KFF Tracking Poll on Health Information and Trust: Fall 2026 Update on Vaccine Views
The latest KFF Tracking Poll on Health Information and Trust finds about half of parents mistakenly believe spacing out vaccines is healthier for children, while confidence in many long-standing childhood vaccines is high across partisans. These findings take on new relevance following President Trump's recent executive order calling for changes in U.S. childhood vaccine recommendations, including splitting the measles, mumps, and rubella (MMR) vaccine—currently given as a single combined shot—into three separate vaccines across multiple visits.
Bill Clinton and David Jolly to hold campaign event in Hollywood
They will hold the campaign event at 6:30 p.m. on Tuesday.
No-party voters to decide high-stakes midterms, political expert says
A political expert says no-party voters play a major role in who wins the midterm elections.
GE Stock Slides Despite Higher Guidance As Costs Rise, Insurance Business Swings To A Loss: CEO Says Company Continues To 'Build Momentum'
GE Aerospace reported third-quarter EPS of $2.25 and revenue of $13.3 billion, beating Wall Street’s estimates.
Titans Win May Have Inadvertently Helped Colts
Tennessee's dramatic comeback win triggered a long-overdue housecleaning in Indianapolis, finally forcing the franchise to fire General Manager Chris Ballard following years of mediocre quarterback carousels.
AI is Changing Science: Here’s What Journalists Need to Know
Researchers are rapidly adopting AI for everything from data analysis to planning and executing entire research studies. Journalists will need to keep up. That means learning the basic principles, strengths, and weaknesses of the diverse technologies labeled as “AI”—and how to tell when using AI in science is actually noteworthy. Luckily for science reporters, knowing your beat well can help you cut through the hype.
Is this America's most normal congressional race? San Diego candidates run on classic platforms
Democrat Marni von Wilpert and Republican Jim Desmond are vying for the 48th Congressional District’s swing voters with moderate, establishment politics
NC State a touchdown favorite at Stanford
NC State is making its first trip to Stanford since the Cardinal joined the ACC, which is to say that we’re in for a very late night of who-knows-what. Should be fun. The Wolfpack is a seven-point favorite to win this one, and if there’s any sort of turnaround on the horizon for this group, […]
The Romans Brings Sports & Entertainment Offering to MENA
The Romans brings its globally award-winning Sports & Entertainment offering to MENA, appoints Sam Buckett as managing director
Shipping dates for the iPhone Duo have been pulled forward for many users
Shipping estimates for the Duo are showing as January 22, but some people who pre-ordered have seen the initial date be pulled forward by weeks or even months.
ESPN moves Florida up in bowl projections after Texas upset
ESPN’s latest bowl projections have Florida facing Pitt in the Gator Bowl or Nebraska in the ReliaQuest Bowl after its win at Texas.
How Much Of Cisco Stock's Rise Did The Business Earn?
Cisco Systems (CSCO) supplies businesses and the hyperscalers building AI infrastructure with networking and security products, along with services. The company's stock climbed 92% between late July 2021 and mid-October 2026, before dividends. A rally of that magnitude makes it natural to credit a growing business. So take a guess: how much of that rise came from Cisco selling more.
UFC power rankings following Fight Night 291 in Edmonton
Top men's fighters in the UFC after Fight Night 291.
Tennessee Titans news: Moving forward after win vs. Colts
The Tennessee Titans are 1-5 after their win against the Indianapolis Colts.
Betterworks Named an Inc. Power Partner for Second Consecutive Year
Betterworks, a leading enterprise performance management platform, has been named a 2026 Inc. Power Partner Awards winner, recognizing the company among the ...
‘The Simpsons’ revives Apu following years of controversy
Across 38 seasons of “The Simpsons,” the Halloween-themed “Treehouse of Horror” episodes have always been a treat of spooky stand-alone storylines. On Sunday, the show surprised viewers with a majo…
SpaceX earnings put Elon Musk's Starlink cash cow to the test
Elon Musk is taking a big swing in his bet to turn Starlink into a mobile carrier just in time for earnings.
Uzbekistan's $12bn business drive gathers pace during Rubio visit
The package covers railways, critical minerals, finance and technology, with major US firms involved. Uzbek President Mirziyoyev outlined measures to attract investors, while business executives told Euronews that commercial activity is growing.
Honeywell forecasts nearly 10,000 new business jets by 2035
Honeywell forecasts 9,950 new business jets by 2035, with global business aviation fleets growing 29% and flight hours increasing 34%.
Can Browns take care of business on road? 3 questions from Ravens win
The Browns go on the road to Tennessee to face a bad Titans team trying to carry momentum forward from Ravens win. Here are 3 big questions though.
What to know about the two candidates in Wisconsin's 7th District
Republican Michael Alfonso and Democrat Fred Clark are squaring off in the 7th Congressional District. The winner will succeed Tom Tiffany.
Envelope Insiders Live: See stars of 'Furious,' 'Love Story' and more
The creatives behind 'Furious,' 'Love Story,' 'The Only Living Pickpocket in New York' and 'Tenzing' joined us for a day of food, wine and great conversations. Take a look inside.
List of DVD release dates for Oct. 20 and beyond
Following is a partial schedule of coming movies on DVD. Release dates are subject to change: OCTOBER 20: Masters of the Universe 20: Hadestown: The Musical 20: One Night Only
Baptist to add 40 beds, PAM Health to build new rehab hospital
Baptist and PAM Health are partnering to add 40 acute care beds and build a new 60-bed rehabilitation hospital to meet growing regional demand.
Republicans in competitive Pa. races are tying themselves to Josh Shapiro. What does that mean for the midterms?
Republicans in competitive swing district races are featuring Gov. Josh Shapiro in ads. It's "quite telling," one political science professor said.
Vivek Ramaswamy gets a political education in a grueling Ohio governor’s race
Vivek is attempting a rare route in politics, going from national notoriety as a presidential candidate to running for state office, eschewing his hard-charging and provocative tone during his presidential campaign. He’s making his pivot during an election cycle where headwinds are blowing against all kinds of Republicans. It hasn’t been easy.
PREVIEW: Wolves face Portsmouth for the first time since 2010
Portsmouth will travel to Molineux on Tuesday evening for the first time in 17 years to face Wolves in a rescheduled Championship fixture.With a game in hand, a win for Cesar Peixoto’s side will see...
As midterm tensions mount, here's how to have civil disagreement
My friend had the wisdom to see being flexible and pragmatic was more effective in real-world situations than following preapproved talking points.
Banijay Confirms Senior Leadership Structure
The newly-minted Banijay Entertainment has set out its senior leadership team following the merger with All3Media.
Arkansas football commitments excited about win over Vanderbilt
Several Arkansas football commitments liked what they saw of the Razorbacks’ 31-21 road victory over Vanderbilt while ending a 14-game SEC losing streak.
Auburn Linebacker Xavier Atkins Dismissed From Football Program
Auburn linebacker Xavier Atkins has reportedly been dismissed from the football program following a disciplinary issue that sidelined him against Georgia. With Atkins no longer on the roster, Alex Golesh and DJ Durkin must rely on Elijah Melendez, Bryce Deas and De'Marcus Riddick against LSU.
James Maddison marks first Tottenham start in nearly 18 months with stunning goal in first Premier League win of season
Tottenham playmaker struck opener in 3-1 win over Coventry which moved side off foot of Premier League; the 29-year-old was making his first start following torrid long lay-off after suffering an ACL injury
Jacobe Smith Accepts Short Notice Fight for UFC Vegas 123
After a quick win earlier this month against Bruce Whitehead, Jacobe Smith already has his next fight booked. The undefeated welterweight takes on Randy Brown at UFC Vegas 123 in Las Vegas on October 31st. Brown was without an opponent after Carlos Leal pulled out due to an injury. Multiple sources have confirmed the fight […] The post Jacobe Smith Accepts Short Notice Fight for UFC Vegas 123 appeared first on HEAVY.
Scene
In this week’s scene, we find this skeletal fellow who has found a garbage can of toxic waste recently spotted in front of a Winchester home.
The rapidly growing business of solar grazing
Solar grazing offers developers a cost-effective solution to land stewardship and vegetation management, with many other tangible benefits as a bonus.
Rangers Find Their Offensive Rhythm In Win Over Ducks
The New York Rangers’ offense came alive on Monday night at Madison Square Garden, en route to a decisive 5-2 victory over the Anaheim Ducks.
Here's how Central District Health plans to spend over $200k on the Treasure Valley's growing rat population
Here's how Central District Health plans to spend over $200k on the Treasure Valley's growing rat population
The Human Fingerprint on Earth’s Water Cycle
Human activities have become intertwined with how water is distributed across the continents. A new study brings their effects into sharper focus.
Proposed New Visa for Home Health Aides and Nursing Assistants: What Healthcare Staffing Companies Need to Know
A new policy proposal published by the Brookings Institution recommends creating a temporary work visa that would let US employers sponsor foreign home health aides, personal care aides, and nursing assistants to help ease a growing shortage of caregivers. The September 29 proposal, authored by Brookings scholar Tara Watson through the Hamilton Project, would create an “H-1D” visa category built specifically for the direct-care workforce, launching as a pilot program of 30,000 visas per year. It would require employers to pay wages near the top of the local market, guarantee workers a minimum number of weekly hours, and contemplate a potential pathway to permanent residence after six years, although implementing that pathway would require additional changes to immigration law. The H-1D is only a proposal at this point. No H-1D legislation has been enacted, and employers cannot currently sponsor workers under this proposed classification. But if the idea gains traction, healthcare staffing companies could find themselves with both a significant recruiting opportunity and a new set of compliance obligations. This Insight walks through the proposal’s general immigration and employment requirements, then turns to the specific opportunities and challenges it could create for staffing firms.
Three Free Agent Relievers Who Could Fix Tigers’ Bullpen
The free agent relievers class is both strong and deep this off-season. That's great news for a Detroit Tigers team that struggled in high-leverage situations late in games, blowing 68 leads en route to a disappointing fourth-place finish in the American League Central. Those 68 blown leads are both a franchise and Major League Baseball …
Are the Houston Texans Finally Back?
After dropping their first four games, Houston has responded with back-to-back wins.
Mike LaFleur: Jacoby Brissett's accuracy has been 'dynamite'
While Jacoby Brissett's box score doesn't look the flashiest, head coach Mike LaFleur was impressed with his performance in the Cardinals' win.