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Trump returning to Georgia as political heavyweights flood state ahead of election
Just over a week after rallying supporters in northwest Georgia, President Donald Trump will return to Georgia on Saturday for an appearance in Macon.
Here's What Apple's Apps Look Like on the iPhone Duo
With just three days to go until the iPhone Duo is released, Apple is getting ready for the launch. Behind the scenes, the App Store now has screenshots of Apple's built-in apps running on the Duo. We've seen some apps in marketing materials, but images of the ones we haven't seen give us an idea of what it will be like using the iPhone Duo day to day.
Stocks try for back-to-back gains — plus, Qnity gets iPhone business from Apple
Every weekday, the Investing Club releases the Homestretch; an actionable afternoon update just in time for the last hour of trading.
Exclusive | Christina Applegate's next steps towards finding cause of worsening health issues revealed after incorrect MS diagnosis
The Secret to Life on Earth Was What Made It Stop Being a Poisonous Ice Ball
Ancient South African rocks expose the chain reaction behind life’s first real growth spurt.
AP Entertainment SummaryBrief at 1:50 p.m. EDT
Christina Applegate says her doctor told her she was misdiagnosed with MS
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.
ID@XBOX x IGN Showcase Recap: All the News and Announcements
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Nigeria records first Ebola case, health authorities say
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Parents usually do anything they can to get their kids to take a break from playing video games. Emily Sorger’s parents took a different approach. “When I was younger, my dad would say, ‘No, you can't go outside and play until you finish this level’ or ‘You can't do your homework until you play this game and tell me if you like it or...
Apple explains why HomeView couldn’t launch until now
Apple’s HomeView was reportedly delayed significantly from its initial launch target, here’s why it couldn’t launch until now per Apple.
You Should Probably Check Your Google Home Speaker’s Data Usage
Google Home Speakers have been absolutely ripping through data—mine included.
Scientists left in the dark by National Science Foundation grant application delays
The Major Research Instrumentation program offers grants of up to $4 million to scientists buying research equipment
Mandy Moore, Emmy Rossum among A-list speakers at WME's inaugural Women’s Health Summit in Malibu
Katie Couric — whose upcoming documentary “Hormonal!” covers a crisis in women’s health — made an appearance via video to reveal a stat that drew gasps.
Lions Named Trade Fit for Chargers’ Young Defender
The Los Angeles Chargers are sitting at 0-6 and likely to be sellers at the trade deadline. After Dave Birkett of the Detroit Free Press suggested the team call the Chargers for cornerback Tarheeb Still or Donte Jackson, Mike Payton of A to Z Sports suggests the Chargers’ other cornerback is the best fit of […] The post Lions Named Trade Fit for Chargers’ Young Defender appeared first on HEAVY.
Yahoo Sports midseason awards: Biggest surprises, disappointments, Heisman picks, title predictions and more
New Apple TV 4K Features 'Whole Room Audio' With Four HomePods
The new fourth-generation Apple TV 4K announced last week can connect to up to four HomePods in front-left, front-right, rear-left, and rear-right positions, enabling an all-Apple surround sound system for home theater setups. There is also a related new feature that has not received as much attention: Whole Room Audio. Apple says the Whole Room Audio feature spreads sound evenly across four HomePods in a room.
Christina Applegate feels ‘hollow’ and ‘scared’ after MS misdiagnosis
“I’m still in this.”
John Turturro, thief of New York characters, adds a capstone in 'The Last Pickpocket in New York'
John Turturro grew up in Hollis, Queens, and has lived in Park Slope, Brooklyn, since 1988
Christina Applegate says she’s ‘scared’ after MS misdiagnosis: ‘I feel lost’
Christina Applegate said on Tuesday’s episode of her ‘MeSsy’ podcast that she is feeling ‘lost’ after being misdiagnosed with multiple sclerosis for years.
tvOS 27.2 adds three new features to your Apple TV 4K
tvOS 27.2 is coming next week, bringing several new features—including screen saver upgrades—to Apple TV 4K users. Here’s what’s new.
Codie Sanchez Says a 2-Week Vacation Reveals Whether You Own a Business or Just Work for One. I Disappeared for a Year. Here's What Happened
Two weeks tells you about your systems. A year tells you about your people.
Amazon Prime comes with an Alexa upgrade you should know about
Alexa+ is now free for all Amazon Prime members, and they can access the upgrade via their Echo Show and Dot devices, their tablets, the app and on the web.
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 […]
Trumbull Health Department Holding Walk-in Flu Clinics This Week
The Trumbull Health Department will be having walk-in flu clinics this week:TODAY, 10/20/27: 10-12pm and 2-4pmWednesday, 10/21/26: 6-8pm 335 White Plains Road No appointment required!We will
Perceptions of science and scientists shape partisan views on common vaccines
How Americans view science and scientists is strongly associated with whether they think vaccines are safe and effective - and helps explain partisan differences in perceptions of some vaccines, according to a new study led by a team from the Annenberg Public Policy Center (APPC) of the University of Pennsylvania.
Christina Applegate Says She Was Misdiagnosed With MS After Yearslong Battle
Years after Christina Applegate shared that she was battling multiple sclerosis, the actress said she is "back at square one" after learning she had been misdiagnosed.
Making Science Appoints AdTech Pioneer Sharon Park as US Managing Director
Appointment coincides with Deborah Slabodsky, ex-Google Head of Measurement for Latam, joining as Making Science Deepens America’s Footprint.
Christina Applegate Tearfully Shares She Was Misdiagnosed With MS: ‘Back at Square One’
The actor shared the stunning news that five years after she was given a diagnosis of multiple sclerosis, her doctor told her she does not have the disease.
SRS names former Allianz exec to alternative risk role
Strategic Risk Solutions said Tuesday it has appointed former Allianz Commercial executive Chris Terry as managing director and head of alternative risk transfer and risk strategy, effective April 19…
Antigravity just halved the price of its drone — by swapping its headset for wristwatch control
$800 now buys you a follow-me drone instead of an FPV flight experience.
Christin Applegate reveals doctors misdiagnosed her with multiple sclerosis 5 years ago
Christina Applegate revealed she was misdiagnosed with multiple sclerosis, breaking down in tears as she explained that “something else is going on” after doctors said she actually didn’t have MS.
Law & Order: College Basketball — How the NCAA's eligibility rules have created chaos before the season's even begun
As the college basketball season quickly approaches, many schools are still trying to fill out their rosters as they navigate legal challenges to NCAA eligibility rules.
Zapata Quantum Adds Peter Shor and Three Scientists to Advisory Board
Zapata Quantum has appointed Peter Shor and three researchers to its advisory board, adding expertise in quantum algorithms, error correction
Christina Applegate reveals MS misdiagnosis in shocking health update: 'I lost everything'
Garmin launches Edge 1060 bike computer with voice control, alongside new Edge Explore computers and Tacx Nēra smart trainer
New Edge 1060 heads up trio of new computers and trainer refresh from Garmin
This institute could get $4 billion from a ballot measure. With just three workers, is it ready?
If California voters approve it, Prop. 38 will direct $4 billion to one research institute. Only one institute currently qualifies for the money.
Christina Applegate Reveals She Was Misdiagnosed With MS: ‘I’m Back at Square One’ and It’s a ‘Mindf—’
Christina Applegate returned to her podcast, “MeSsy,” on Tuesday with some shocking news: She was misdiagnosed with multiple sclerosis. After taking a break from the podcast for seven months due to he...
'DWTS' Dedication Night: What each couple will dance to Tuesday night
Dancing with the Stars returns Tuesday night, with the 10 remaining couples participating in the always emotional Dedication Night. The evening allows the celebrity dancers to perform for someone or something important to them, often featuring guest appearances.
Woman Indicted In Alleged $612,000 Theft Scheme From Great Mills Business
GREAT MILLS, Md. — An Odenton woman has been indicted on six theft charges after prosecutors alleged she stole approximately $612,758.92 from a Great Mills business through unauthorized payments and credit card transactions spanning several years. Heather Lynne Payton, 50, was indicted by a St. Mary’s County grand jury on September 28, 2026, in connection […]
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
“Young Sheldon” director recalls his ‘worst run-in’ with Iain Armitage in new book
The young star was apparently “pissed,” per Alex Reid.
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.
GTA 6 is so detailed no single Rockstar employee has seen it all - which is exactly how we got shrinking horse testicles in Red Dead Redemption 2
The infamous Red Dead Redemption 2 horse testicles were an unplanned feature because Rockstar staff apparently work autonomously, which bodes well for GTA 6.
iPhone Duo orders limited to two per customer as Apple tackles scalping
Apple is limiting iPhone Duo orders to a maximum of two per customer in the US, UK, and elsewhere after...
Yankees' Aaron Boone Decision Isn't What it Appears
The New York Yankees have decided to keep Aaron Boone, but it isn't what it appears.
Knicks’ OG Anunoby Drops Unexpected Photo Featuring Anne Hathaway
For Knicks fans, this week feels like Christmas came early.After 53 years of waiting, the championship banner finally goes up at Madison Square Garden, and the players get their rings in front of a crowd that has earned it.The players have spent the last few days at practice, getting ready for LeBron James and the […] The post Knicks’ OG Anunoby Drops Unexpected Photo Featuring Anne Hathaway appeared first on HEAVY.
Revolut and other banking apps go down as Google Cloud suffers outage
Google Cloud is experiencing service disruptions in London, along with multiple banking apps including Revolut.
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
Bill Nye "The Science Guy" makes surprise appearance in Rutherford County
Nashville News, Weather, and Sports
'We recreate the Big Bang here on Earth' – scientists know what happened during the first few seconds of the Universe | BBC Sky at Night Magazine
What happened after the Big Bang? How much do scientists know about the formation of the first stars and galaxies during those first seconds?
I’ve used the Pixel 11 Pro XL and iPhone 18 Pro Max, and Apple’s ecosystem isn’t enough anymore
I've used iPhones for almost two decades, and much of what made Apple's devices an easy choice has eroded.
How an acclaimed opera singer became Providence’s Bride of Cthulhu
What happens when an opera singer/organist/conductor meets Lovecraft? You get Gigi Mitchell-Velasco, a consummate performer and Bride of Cthulhu.
Names in the News: People shaping the future of Lake Area business
Sowela appoints vice chancellors Sowela Technical Community College is pleased to announce the promotion of two distinguished members of its leadership team, Allison Dering and Dr. David LaFargue, from executive […]
Would Trump accept GOP midterm losses? 7 in 10 Americans doubt it.
A Post-ABC News-Ipsos poll finds broad confidence that votes will be counted accurately, but deep doubt that the president would accept the results if Republicans lost.
Here’s what happens when a $10,000 healthcare premium meets a tick-borne sickness
A Monroeville therapist’s premium is rising to $887 a month. Pittsburgh’s Public Source asked health care experts why costs keep climbing.
What Is Culinary Medicine? Bridging Nutrition, Cooking, and Health
Culinary medicine combines nutrition science with practical cooking education to help patients apply dietary advice and train healthcare professionals in nutrition counseling. Studies report improvements in cooking confidence and dietary behaviors, but evidence for sustained clinical benefits remains limited.
A key climate report was scrapped under Trump. Scientists plowed ahead with the research.
Some of the ousted climate scientists have just published their own research paper, identifying changes in the research field.
Scientists think they've worked out why anything exists at all. Is this the answer to the oldest problem in the Universe? | BBC Sky at Night Magazine
Could scientists have finally found the particle that explains why matter triumphed over antimatter and why anything exists at all?
Sources: Fabian Hurzeler's stance on Brighton exit revealed
Fabian Hurzeler walking on pitch with Michael Carrick clapping fans right inset
Tasteless Democratic ads highlight need for civility in politics
Give voters the information they need and leave the inappropriate theatrics out of it.
Tasteless Democratic ads highlight need for civility in politics
Give voters the information they need and leave the inappropriate theatrics out of it.
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.
Pfizer makes ‘business decision’ to end phase 2 trial of autoimmune drug as program’s future uncertain
Pfizer has called time on a phase 2 trial of its CXCR5 antibody in an autoimmune blood disorder, with the company tight-lipped on whether this marks the end of the road for the asset. The Big Pharma had been evaluating the therapy, dubbed PF-06835375, in a phase 2 study of 61 patients with primary immune thrombocytopenia (ITP) that kicked off in 2022, according to the federal trials register. However, Pfizer confirmed to Fierce on Monday that this study had been terminated “due to a business decision.” “The decision to terminate the trial was not based on any safety concerns,” a spokesperson pointed out. At time of publication, PF-06835375 remained listed on Pfizer’s website for both ITP and lupus. A phase 1 study in lupus wrapped up in 2022, according to the trials database. ITP is an autoimmune disorder characterized by a low platelet count. Novartis was at one point evaluating its B-cell-depleting antibody ianalumab—recently approved as Fabhalta to treat immunoglobulin A nephropathy—as a potential treatment ITP. But the therapy struggled to demonstrate a benefit in the clinic for this indication. When contacted by Fierce, Pfizer wouldn’t confirm whether all work on PF-06835375 has been halted, and whether the company has any other plans to explore C-X-C chemokine receptor type 5 (CXCR5) as a mechanism. CXCR5 is found in blood cancers such as diffuse large B-cell lymphoma and mantle cell lymphoma chemokine receptor. However, there is little expression in normal tissue, which has led some drug developers to explore its potential. Vincerx Pharma had at one point been planning to take an anti-CXCR5 ADC into the clinic to treat B-cell malignancies, but that ambition was scrapped due to cash constraints. Where Big Pharma is placing its bets is one of the hot topics being discussed at Fierce Biotech's high-impact event in London next month. Find out more information and register by clicking on the banner below: [ ](https://qtxasset.com/quartz/qcloud5/media/image/where_big_pharma_is_placing_its_bets.png?VersionId=B8JrRbJ.pFUSK1pJgjeWHLGm_18RdLAy)
Texas Football Prediction Has Longhorns Making $50 Million Steve Sarkisian Decision
Texas has gone from No. 1 to two straight defeats, and one college football analyst believes another disappointing finish could be bad news for Steve Sarkisian. The post Texas Football Prediction Has Longhorns Making $50 Million Steve Sarkisian Decision appeared first on HEAVY.
Whither Vladimir? (Part 1)
It’s no secret that a big part of the Blue Jays’ disappointing 2026 was the result of a disastrous season by superstar first baseman Vladimir Guerrero jr. Vlad’s offensive production cratered, from an average wRC+ of 139 from 2023-2025 to 95 this past season. If the team’s going to get back into contention in 2027 […]
Penguins Make Brutal Injury Announcement Against Mammoth
The Pittsburgh Penguins were in action on Monday against the Utah Mammoth, making a visit to Salt Lake City to take on their hosts at Delta Center. Unfortunately, they were defeated by a 5-4 final score – but that wasn’t the only loss they suffered.Not only did they lose the game, but the Penguins also […] The post Penguins Make Brutal Injury Announcement Against Mammoth appeared first on HEAVY.
Trump’s Approval Rating Plunges to Historic Low Ahead of Midterm Elections
68% of Americans disapprove of Trump's handling of the economy, including 37% of respondents who identify as Republicans.
Apple explains new Safari ad tracking privacy restrictions
Apple's latest privacy crackdown is rattling the online ad industry. And it isn't backing down.
49ers, Jaguars Floated Trade Idea Involving $14.6 Million Player
The San Francisco 49ers appear to be one of the buyers ahead of the Nov. 10 trade deadline. So far this 2026 NFL season, the Niners have established themselves as a Super Bowl contender. Despite the impressive start to the campaign, San Francisco does have areas of concern such as the wide receiver position. During […] The post 49ers, Jaguars Floated Trade Idea Involving $14.6 Million Player appeared first on HEAVY.
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.