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Google Maps on CarPlay rolling out Gemini when navigating
Google Maps in CarPlay now lets you access Gemini when using navigation for a conversational driving experience.
Jalen Hurts' Blood Clot Diagnosis: Revisiting Deion Sanders' Health Journey
With Jalen Hurts sidelined by pulmonary blood clots, Deion Sanders’ grueling history of surgeries and hospitalizations offers a sobering roadmap for the Eagles quarterback’s high-stakes recovery process.
Scientists Found a Way to Upgrade the Powerhouses of Our Cells Without Shutting Them Down
Scientists have developed a new way to coat mitochondria, the tiny structures that power our cells, while preserving much of their function. Researchers at two Italian institutions found that coated m...
Huge Warhammer 40,000: Dawn of War IV game overview trailer revealed
Discover the factions, missions, maps, and more for the video game.
Could the Big Bang theory be wrong? Some of the biggest questions remain unresolved
The Big Bang explains a great deal, but some of its deepest questions remain unanswered. Future discoveries could change far more of the story than many people realize.
What's the most popular pro sports team in your state? See the map
Google Trends reveals the top pro sports teams in all 50 states. Explore the winners, plus the second- and third-ranked NFL, MLB, NBA and NHL teams.
GTA 6 Leak Reveals Collector’s Map Reportedly Coming With Every Physical Copy
A new GTA 6 leak has revealed Rockstar Games is planning a collector's map coming with every physical copy of the game.
Which NFL games are Fox, CBS broadcasting? Week 6 coverage maps
Which NFL games will be broadcast in your region in Week 6? Here are the coverage maps for Sunday's action.
Can science prove the Earth is round? Every major test points to the same conclusion
Earth's shape can be tested in surprisingly simple ways without relying on space photographs. The strongest part of the evidence is how many independent observations lead to the same answer.
Google is bringing a more personal version of its Gemini AI assistant to your car
Google is bringing Gemini's Personal Intelligence feature to cars, allowing its AI assistant to draw on information from Gmail, Calendar, Maps, YouTube, and other Google services to deliver more personalized responses while driving.
Gemini app expands Google Maps Personal Intelligence, replacing Deep Think
Besides coming to Android Auto this week, Personal Intelligence in the Gemini app is also expanding its Google Maps integration.
“There is life after death.” Why science has no theory that can prove it
Science has studied people who came remarkably close to death, but the hardest question still remains beyond direct measurement. That gap is exactly where the debate becomes most interesting.
Did human beings evolve from apes? Here’s what science can and can’t prove
The familiar claim about humans evolving from apes leaves out an important part of the story. Fossils and DNA reveal a much more complicated family history than the popular version suggests.
Kustom Entertainment CEO to Present at LD Micro Main Event, Highlighting Video Solutions Divestiture and Live Entertainment Strategy
CEO Stanton E. Ross will discuss Kustom Entertainment's video divestiture and entertainment roadmap at LD Micro Main Event.Quiver AI SummaryKustom Entertainment, Inc. announced that its CEO, Stanton E. Ross, will present at the 20th Annual LD Micro Main Event in Los Angeles from October 19-21, 2026. The conference will cover several key topics, including the recent divestiture of its video solutions business for $6.1 million to Cycurion, Inc., ma
Penguins’ Nick Robertson Decision Confounds After Maple Leafs Trade
The Pittsburgh Penguins made it a point this offseason to acquire Nick Robertson from the Toronto Maple Leafs. And early in the year, the Penguins showed how much they like Robertson — they gave him time on the first line with Sidney Crosby. Now, though, Robertson has apparently been demoted in recent games. His minutes […] The post Penguins’ Nick Robertson Decision Confounds After Maple Leafs Trade appeared first on HEAVY.
Jonesboro MAPC Denies Commercial Rezoning Next to Math and Science Magnet School
The Jonesboro Metropolitan Area Planning Commission (MAPC) voted against a rezoning request Tuesday night that would have allowed commercial development on property adjacent to the Jonesboro Math and Science Magnet School.
Pellegrini and Lulli confirmed to start vs Slovan
Roma are back in the hunt for a Champions League victory, with Malen ready to reclaim the center of attack. After the draw against Fenerbahce and the bitter defeat against Real Madrid, the Giallorossi...
‘Categorical Exclusion’ Simplifies NPRA Winter Exploration Permits
BLM says previous environmental assessments found that exploration activities in NPRA resulted in no significant impacts.
Can AI solve our mental health access problem?
Last week I asked you what worries you most about AI in health. It was close, but your top answer was “AI giving bad health advice.” Last week’s poll results: You’re in good company. This concern was top of mind at a conference I joined at Stanford last week, where researchers, clinicians, and people who build AI systems spent a day debating trust and safety in health AI. Stepping back, I’m also hearing your emerging concerns about AI’s impact on our well-being generally. I see this as a matter of public health, and we’ll take it in pieces as we learn together. Today we’ll focus on AI chatbots used for therapy for mental health. Early this month, Governor Newsom vetoed Senate Bill 903, California’s most ambitious attempt to regulate AI use for mental health. It’s at the center of active debate, and raises the questions patients, family members, citizens, and voters will face as AI moves deeper into health care. Let’s work through it. What is “AI-based therapy”? It’s really two things: purpose-built mental health apps designed to deliver structured support, and general chatbots like ChatGPT, Claude, and Gemini that people increasingly use for emotional support—even if they weren’t built for it. Spoiler alert: I don’t know whether the shift toward AI therapy is good or bad. The evidence isn’t there yet. But I do know it’s already happening, and I have some ideas about how we can roll it out with safety in mind. The therapy dilemma, in a nutshell Mental health challenges are common, and strain health and well-being across populations. Therapy (interactive dialogue with a trained, empathetic practitioner) helps many people heal. The demand for licensed therapists far exceeds the supply in California, and AI-based therapy can narrow that gap. AI-based therapy remains novel, unproven, and not well tested. Right off the bat, we can see we’re dealing with trade-offs here. Since the main driver of demand for therapy from a robot is lack of access to therapy from a human, we’ll start there. It’s too hard to find and afford a human therapist California is short roughly 55,000 licensed, non-prescribing therapists and counselors, about 40% of what we need. Psychiatrists, who rely on talk therapy as a complement to prescribed medications, are even more scarce. Eight counties have none, and density ranges from 1.7 per 100,000 residents in San Benito County, to 68.1 in Marin County. My wife is a psychiatrist in Marin, and even here access is tight. If it’s hard in the best-supplied county, imagine rural Sierra County, or the San Joaquin Valley. In 2024, more than half of Californians who tried to make a mental health appointment struggled to find a provider who took their insurance, compared with 14% for physical health care. When Senate staff posed as “secret shopper” patients and called 120 mental health providers in Medicare Advantage networks, they landed an appointment less than once for every five tries. Insurers pay behavioral health clinicians about 22% less than medical and surgical clinicians for comparable office visits. On top of that, billing denials and prior authorizations hit hardest at the solo and small practices common in mental health. Psychiatrists opt out of Medicare at the highest rate of any specialty. In many places, a cash practice for therapy fills quickly with patients paying $250 or more an hour, with no insurance paperwork at all. Families who can pay cash find providers more easily. Those who rely on insurance, including Medi-Cal enrollees, older adults, rural residents, and non-English speakers, compete for what’s left. So we can’t pretend the human system works, and we can’t blame people for turning to AI for support when they’re in distress. AI is filling the gap It’s estimated that roughly a quarter of AI users use it for mental health support. If you have internet, it’s available 24/7, it’s cheap, and it speaks your language. Uninsured adults are about twice as likely as insured adults to do it (30% vs. 14%). It feels anonymous in ways that may enable people to ask things they’re unsure or embarrassed about. The largely hidden, personal use makes it hard to study whether it’s actually helping people with their mental health issues, but researchers are trying. Does AI therapy work? A 2026 analysis of nearly 40 randomized trials found chatbots showed a real but small reduction in depression symptoms. But most of these trials were compared to an alternative of no therapy, not a human therapist. So the benefit of AI therapy is probably real, but modest, and mostly untested against the alternative of human contact. We need more studies. Serious concerns OpenAI’s own estimate is that more than a million ChatGPT users each week show signs of suicidal planning or intent. These are high stakes encounters, and AI doesn’t always get it right. That’s partly because a chatbot can sound like a therapist, but it has no license, no duty of care, and it’s not clear who to hold accountable when it gets things wrong. AI is also designed to help users in whatever task they’re seeking to accomplish. People may feel like they’re getting therapy, but they’re mainly getting a convincing conversation. It’s easy for an AI companion to wander into gray areas, like playing along with “creative writing” that may be about the user’s own suicidal intent. Courts are driving safety conversations A wave of lawsuits have been filed on behalf of families claiming that chatbots pushed people they loved toward self-harm, including teens who died by suicide. The first settlements came this year. OpenAI is headquartered in San Francisco, and dozens of cases alleging that ChatGPT drove users to suicide or self-harm are now before a San Francisco judge. Character.ai has filed for bankruptcy after several states brought lawsuits accusing the chatbot of pushing dangerous content to kids. But the technology seems to be improving. Last month, an independent evaluation found that newer AI models “almost never endorse suicide.” That’s progress, but our societal appetite for even one preventable death is very low. So how do we move forward? Finding a middle ground Earlier this month the governor vetoed Senate Bill 903, a bill designed to place guardrails on the use of AI for therapy. The bill would have prohibited any AI-based platform from being advertised as psychotherapy, and would have required a licensed professional to review and approve each encounter where AI was used to support therapeutic decisions. Newsom called it overly broad, since even routine screening questions would have needed clinician sign-off. Knowing we’re already short on mental health providers, requiring human review of AI encounters may not relieve our access problems. Still, the answer isn’t no oversight. Here’s one feasible short term solution. Rather than reviewing each encounter, a licensed clinician can design the guardrails: what counts as a crisis, what triggers an immediate handoff to a human, and what gets sampled for audit each month. The AI runs inside that structure. Conversations get checked, failures get reported, and a real clinician owns the framework. Medicine already has models to learn from. The FDA process for rolling out newly approved medications is an example. After a product reaches patients, we keep watching for adverse events. Patient-facing AI needs the same “digital pharmacovigilance”: systematic tracking of harms, near misses, and the types of groups that get hurt and why. It’s also critical that users know that they can reach a human if they’re in crisis. Most chatbots now include messages like these: Bottom line The rush to use unproven AI tools for mental health support is mostly a workaround, a sign of a health system people can’t get into. We need better access to proven care from licensed clinicians. That takes reimbursement that makes accepting insurance viable, and a bigger workforce. But, built and tested well, AI could be part of the answer. It could be the 2 a.m. check-in when no one else is awake, or a way for patients to practice skills their therapist taught them. It could be the first step to get someone the right level of care, and take paperwork off clinicians’ plates so they spend more time with patients. None of this is simple. The SB 903 veto doesn’t end the debate, and the legislature will be back. In the meantime, those of us using these tools need to stay informed, ask hard questions, and hold the companies building them accountable. I’ll try to do my part, and we’ll keep learning together. Love,Matt P.S. If you or someone you know is struggling with mental health challenges, emotional distress, substance use problems, or just needs to talk, call or text 988- you’ll reach a real person— or chat at 988lifeline.org 24/7. Dr. Matt Willis is the author of Your Local Epidemiologist in California. A California native, he’s served as a primary care physician, CDC epidemiologist, and public health officer for Marin County, where he guided the pandemic response. He lives in Marin with his family and their dogs, Teddy and Ramona. Thank you Cynthia He, MD, PhD, and Parnika Saxena, MD, for their guidance in preparing this article. Cynthia works in an outpatient mental health clinic, treating patients who have Medi-Cal or, sometimes, no insurance. Parnika works in an inpatient psychiatric unit, treating patients with public or private insurance or self-pay ability. All opinions are their own and do not represent their employers.
Creemee Tours Add Sweetness To Fall Foliage Tours
MONTPELIER- Both the Vermont Agency of Agriculture, Food, and Markets (AAFM), and the Vermont Maple Sugar Maker’s Association (VMSMA) offer creemee-based promotions. The promotions are most popular in the summer
How do scientists know the Earth is billions of years old? The proof may surprise you
Scientists did not arrive at Earth’s age from one clue. Several very different measurements keep pointing toward the same ancient timeline.
Duke Endowment makes big investment in NC Children’s hospital
By Anne Blythe Key Takeaways: On a heavily wooded tract near the intersection of U.S. 1 and N.C. 540 — a 220-acre spot in southern Apex so void of infrastructure it shows up only as GPS coordinates on a map, the Duke Endowment announced a transformative $100 million grant Tuesday morning. The investment will help […]
Do human beings have only 5 senses? Science is challenging what you know
The five senses you learned in school are only the beginning. Your body is detecting far more than you consciously realize.
Islanders 4 (EN), Maple Leafs 1: Costly but gritty win
The Islanders pulled off an impressive 4-1 win in Toronto despite losing two forwards for most of the game, with both Cal Ritchie and Matias Maccelli limping off to destinations unknown in the first period. Ritchie was the first to leave, on his first shift, but he was at least able to skate off after […]
What’s on the Sun’s hidden side? Scientists uncover new clues
A new study reveals how scientists can identify previously unseen solar activity and build more accurate models of the Sun's magnetic field.
Are UFOs evidence of alien technology? Here’s what science actually says
Some UFO cases remain difficult to explain, but that is only the beginning of the scientific question. The evidence needed to connect them to alien technology is much stronger than mystery alone.
Turning to AI for Health Answers May Signal Anxiety or Depression in Young Adults
A national survey of nearly 100,000 college students revealed that young adults using generative AI for health questions have roughly 50% greater odds of screening positive for anxiety and depression. While conversational bots offer quick, cost-free answers, repeated symptom searches often fuel rumination loops, underscoring the need for digital health literacy and accessible medical care.
Carson College student consultants move regional businesses forward
Regional businesses can receive a semester of consulting support from WSU Vancouver business students, guided by faculty and experienced business leaders, at no cost.
Use This Emergency Brake On Climate Change And Air Pollution, Experts Urge Finance Ministers
They are urging climate negotiators at the upcoming Climate Change Conference in Antalya, COP 31, to create a formal roadmap to tackle air pollution and
Pellegrini expected to remain out for several weeks
Roma enjoyed a 4-0 victory over Slovan Bratislava, which earned the Giallorossi their first win in this season’s Champions League. Gian Piero Gasperini’s team delivered a convincing performance, b...
2026 Health Care Congressional Voter Guide
At NC Health News, we care about you and your family’s health and we think our elected officials should too. We started in September to reach out to all of North Carolina’s Congressional candidates asking them to answer a series of questions about health care issues that you care about: Social Security, Medicare and Medicaid, […]
CaroMont and Duke Health plan two new hospitals in Mecklenburg County
CaroMont Health and Duke Health are seeking state approval to jointly build two hospitals in Mecklenburg County.
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.
‘The little thieves and the bigger thieves’
During the 1950s, on one wall of each classroom at Holy Rosary Elementary School in Idaho Falls a huge pre-World War II map was posted. All the British Commonwealth holdings appeared in pink and seemed to cover nearly half the globe. Their Mercator projection made Canada appear immense, as well as Alaska. Tucked into Central […]
Soule favored to start alongside Dybala and Malen vs Real
Gian Piero Gasperini won’t limit the quality of his players out of fear of Real Madrid. Los Blancos have a team of phenomenal players, but the Giallorossi coach has no intention of focusing solely o...
Matias Soule tipped to start against Real Madrid
After a 0-0 draw at Como, Roma, who had been down since the 53rd minute, are ready to make their Champions League debut at the Stadio Olimpico. Wednesday’s fixture is a huge one: Mourinho’s Real M...
KUSTOM ENTERTAINMENT TO PRESENT AT THE 20th ANNUAL LD MICRO MAIN EVENT
CEO Stanton E. Ross to discuss the completed video solutions divestiture, and the company's live entertainment roadmap OLATHE, KS, Oct. 13, 2026 (GLOBE...
Are babies conscious in the womb before birth? Here’s what science can and can’t prove
The fetal brain is doing far more before birth than scientists once understood. The difficult question is where complex brain activity ends and conscious experience begins.
Maple Leafs’ Kirill Marchenko Makes Unexpected Claim After Sabres Loss
One of the few bright spots for the Toronto Maple Leafs in their loss to the Buffalo Sabres on Thursday, October 15, was Kirill Marchenko’s performance.The 26-year-old forward scored his first hat trick with the Toronto franchise, helping the Leafs take a 4-2 lead.However, Jim Hiller’s team let their guard down, and following John Tavares’ […] The post Maple Leafs’ Kirill Marchenko Makes Unexpected Claim After Sabres Loss appeared first on HEAVY.
Plague is stoppable. The next health threat may not be.
The word plague is scary. Centuries ago, the Black Death killed tens of millions of people and changed the course of history. Plague still kills people around the world, and the word still evokes catastrophe. New fears of plague surfaced on October 2, when a lab worker in Irkutsk, Russia, died of pneumonia. Reports suggested that she may have contracted plague through a laboratory exposure. Understandably, people were alarmed. On October 7, the World Health Organization called for the Russian Federation to be transparent about what it knew. WHO issued an update on October 10. Russian authorities told WHO that testing did not identify plague and that investigations found no laboratory release. WHO said confidence in its risk assessment remained limited and that further clinical, epidemiological, and laboratory information was needed. The cause of the woman’s illness remains unknown, and WHO says a laboratory-associated exposure cannot be excluded. As I explained in a recent interview, this incident is very unlikely to lead to a pandemic. Plague is still active, including in the U.S., which sees a handful of cases each year. But it is a disease we can prevent and treat. Plague doesn’t spread readily, and it responds to antibiotics. The standard response—isolate the patient, trace contacts, and administer antibiotics and monitor for symptoms among contacts for seven days—works. We have even planned for antibiotic-resistant plague. At CDC, we developed a playbook for antibiotic-resistant plague and ran exercises on how to find and stop it. CDC guidance anticipates engineered resistance and recommends two different classes of antibiotics if there’s reason to suspect it. There is no evidence that resistance—or even confirmed plague—is involved in this incident. We have thought through how to address plague, but we’re not ready for the next major health threat that emerges from a lab or from animal spillover to humans. What should concern people is how little stands between the world and the next pathogen to get loose. Since peak COVID, epidemic preparedness has fallen off the political agenda, but the risk is greater than ever. More labs handle dangerous pathogens with more ways to make those pathogens deadlier, and more people live and work in close contact with animals. There are actions we can take now: We need better lab safety in every country. The number of labs that work with dangerous pathogens has increased worldwide over two decades, but there’s no enforceable international standard and no inspection regime; the Biological Weapons Convention, fifty years on, still has no verification mechanism. Labs that study dangerous germs need strong safety systems, training, and oversight. We need to reduce spillover events. Three in four emerging human infections start in animals, and there’s a lot we can do to reduce spillover risk, but the world is doing very little of it. Live-animal markets are one place to act. For instance, closing live-bird markets helped control H7N9 influenza in China. Reducing opportunities for people to encounter infected animals can prevent infections before they become outbreaks. In The Formula for Better Health, which is now out in paperback along with the hardcover, Kindle, and audiobook versions, I argue that labs do too many risky experiments with too many dangerous pathogens in too many institutions, and that every experiment should first answer one basic question: Is the likely benefit greater than the risk? Spillover risk can also be reduced: In the book, I discuss how Brazil cut its deforestation rate by 70% from 2004 to 2012 while increasing agricultural production and reducing risky contact between people and forest animals. We need faster detection and response. Delay costs lives. Strong surveillance, good labs, and trained responders can turn a single case into a small cluster of infections instead of an epidemic. Resolve to Save Lives has worked for nearly a decade to help countries find and stop outbreaks faster. The 7-1-7 target, which Resolve to Save Lives developed with partners in Uganda and elsewhere, provides a clear standard: detect within 7 days, notify within 1 day and complete all essential early response actions within 7 days. In Uganda’s Kasese district, for example, a review of a measles outbreak using 7-1-7 identified shortages of accessible funds, fuel, and vehicles that delayed the response. District leaders established funds they could access quickly. When, a few months later, the Crimean-Congo hemorrhagic fever appeared, the district detected it in three days, notified authorities in one, and mounted an effective response in two. Only one case was confirmed, and the patient survived. Because funds were available before the emergency, authorities were prepared and able to act. This kind of preparation can’t wait until the next crisis begins. Plague is an old disease we that know how to stop. The next threat may be harder to recognize, harder to treat, and easier to spread. Safer labs, less risk of spillover, and faster outbreak detection and response need sustained investment now, while we still have time to prevent the next emergency. Share
Cristante’s condition improves
Bryan Cristante was forced to sit out after Roma-Inter (2-2). The Giallorossi number 4 was unable to return to the Italy squad due to lumbago, but in the following days he developed knee inflammation ...
Ghilardi: “I’m trying to play with more consistency.”
He plays little, but when he does, he’s always among the best. Ghilardi—even today—proved he’s worthy of playing for this Roma side. He defends, attacks, and even creates assists. He even scor...
Brain scans reveal 'number line' that's used to mentally compare values
Although whole numbers and fractions are processed differently in the brain, when you compare their values, a single "mental map" akin to a number line lights up.
A Man Was Scrolling Google Maps—Then He Noticed Google Maps Staring Back at Him
The physical forces beneath this eerie floating “eye” in Argentina are even stranger than the shape itself.
Wesley: “I’m not happy, we deserved to win.”
Roma suffered their first defeat of the season against Real Madrid in their second Champions League match. After the match, Roma full-back Wesley spoke to TNT Sports. Among the topics discussed was th...
Epic Games shifts to automation-first development: Tim Sweeney sees a “golden age of gaming”
Epic Games is moving teams toward automation-first development. Tim Sweeney says generative tools could speed up production, lower costs, and open wha
Cardinals vs. Rams Week 6 TV Map
Map of the U.S. to see which states can view the Cardinals/Rams contest
Mapping the genetic diversity of Antarctic life
Antarctica is home to organisms that have evolved to survive months of darkness, frigid temperatures and some of the harshest conditions on Earth. Hidden within their genetic material are clues to how life adapts and persists in extreme environments.
Is death a black hole with no escape? Science and religion draw very different conclusions
Sporting Judge to determine Malen’s suspension
Donyell Malen is preparing as best he can for tomorrow’s match at the Stadio Olimpico (9:00 PM) against José Mourinho’s Real Madrid. The Dutch striker is looking to shake off the disappointment o...
Scientists uncover a hidden map of the brain with 539 distinct regions
Scientists have uncovered a hidden layer of organization in the brain by creating the first detailed 3D map of its lipids, the fatty molecules essential for brain structure and communication. By analyzing millions of measurements from mouse brains, researchers identified 539 distinct chemical zones, revealing patterns and boundaries that traditional brain maps have missed. Surprisingly, even white matter, once thought to be relatively uniform, contains a complex patchwork of chemically distinct regions.
Here’s How Matthew Knies Is Doing Since Maple Leafs Trade
The Toronto Maple Leafs traded Matthew Knies to the Columbus Blue Jackets the day before the Leafs played their season opener. It was the kind of setup that was bound to draw maximum attention, and it meant Knies had tons of immediate eyes following him to see how he’d do as he got rolling with […] The post Here’s How Matthew Knies Is Doing Since Maple Leafs Trade appeared first on HEAVY.
Trump says he called Google to rename Atlantic Ocean
President Donald Trump continues to raise renaming various bodies of water to include “America.” While at a rally in South Carolina, he said he called Google CEO Sundar Pichai to rename the Atlantic Ocean because they were “really great with the lake,” referencing when Google Maps relabelled the Gulf of Mexico to “Gulf of America.”
“The Earth is 6,000 years old.” How science debunks this religious view
The 6,000-year claim faces evidence from several places that have little to do with one another. What those independent clocks reveal is difficult to reconcile with the familiar young-Earth timeline.
Ryan Reaves Pulls Curtain Back On Time With Maple Leafs
Former Toronto Maple Leafs enforcer Ryan Reaves announced his retirement from the NHL last month, ending his career that spanned 16 total season and multiple clubs, including a stop with the Maple Leafs.Reaves, who accumulated over 1,000 penalty minutes during his career, is now pulling the curtain back on his time while with the Maple […] The post Ryan Reaves Pulls Curtain Back On Time With Maple Leafs appeared first on HEAVY.
Scientists map faces to unravel secrets behind a beautiful smile
Findings may lead to better aesthetic treatments for South East Asians
Celebrating Scholars for Mental Health
SUNY Chancellor John B. King Jr. today celebrated five Scholars for Mental Health who have demonstrated leadership and a steadfast commitment to bolstering the mental health field. Through funding...
Vanderbilt Health-led team maps gene variants that can cause sudden death
Vanderbilt Health researchers have created a “map” of 1,757 genetic variations that can trigger a life-threatening heart rhythm disorder called long QT syndrome.
Gavin McKenna Slays Slow Start
The Toronto Maple Leafs earned an emphatic 6-3 victory over the Colorado Avalanche Saturday night, and Gavin McKenna once again […]
Darren Soto laps Dan Green in CD 9, even with Republican's $700K in self-funding
But every election prognosticator till sees the incumbent at a disadvantage thanks to Florida's new congressional map.
A new tool makes mapping the ocean easier
UCSB marine scientists have developed a new, open-source software package that makes it faster and simpler to find, organize and map data about the world’s oceans.
Vanilla Could Hold the Key to New Wound Treatments, Scientists Say
Vanilla is best known for its place in kitchens, desserts, and fragrances. But scientists at Australia’s Flinders University are exploring whether vanillin, the compound responsible for vanilla’s fami...
Kirill Marchenko Sends Message to Blue Jackets Fans Booing Him
Toronto Maple Leafs winger Kirill Marchenko sent a clear message to the Columbus Blue Jackets fans for booing him.For the first time since he was traded the day before the season began, Marchenko played in Nationwide Arena in Columbus as a member of the Maple Leafs. Marchenko was traded to Toronto in exchange for Matthew […] The post Kirill Marchenko Sends Message to Blue Jackets Fans Booing Him appeared first on HEAVY.
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
Grimes growth surges behind residential, commercial development
The city of Grimes’ population now stands at just under 18,000 following a special census last year, and that growth is representative in the number of building permits being issued, both residential and commercial, which for the year to date have already surpassed the previous high number by 32%. As of Oct. 1, the city…
Scientists map faces to find key to beautiful smile
Findings may lead to better aesthetic treatments for South East Asians
Jen torches GOP’s ‘vile brand of politics’
MS NOW's Jen Psaki breaks down how Democrats are looking to expand the map while Republicans are falling back on personal attacks.
Maple Leafs Handed Roster Boost Before Mammoth Game
The Toronto Maple Leafs have received a boost ahead of Tuesday’s October 13 game against the Utah Mammoth in the final game of their Western road trip.Toronto defeated the Colorado Avalanche 6-3 during the weekend, but without John Tavares. The forward had been absent since October 9 for personal reasons, specifically the birth of his […] The post Maple Leafs Handed Roster Boost Before Mammoth Game appeared first on HEAVY.
Maple Leafs’ Blue Line Plans Come Into Focus, Friedman Says
The Toronto Maple Leafs blueline plans come into focus, as Elliotte Friedman shed light on what the team has in the pipeline. The post Maple Leafs’ Blue Line Plans Come Into Focus, Friedman Says appeared first on HEAVY.
From Nanochemistry to Smart Roads: The Multi-Scale Science Transforming Sustainable Pavements
A new Frontiers in Materials editorial maps how functional additives, multi-scale analysis, and machine learning are turning road construction into a quantifiably sustainable, data-driven discipline.
Roma looking to make two signings in January
Roma is already looking ahead to the January transfer window with the goal of expanding Gian Piero Gasperini’s options. The Giallorossi intend to make the squad more competitive and equipped to tack...
Daily Bean: Maple Leafs Trade Talk; Matt Poitras; Hellebuyck Rumors
The Boston Bruins had the day off yesterday but are back to work today as they look to sweep their […]
Cristante called up for Roma-Slovan clash
A draw against Fenerbahce and a defeat against Real Madrid. Roma’s Champions League tally needs to be increased as soon as possible. To do so, a victory will be crucial in tonight’s match at the O...
Mourinho impressed by Wesley: “I knew he was strong.”
There’s no shortage of talent at Real Madrid. From Mbappé to Diomandé, there’s plenty of quality players. Mourinho’s squad is sensational, including the bench. It was evident against Roma: a t...
Gasperini keen on Bayer Leverkusen’s Ben Seghir
Roma continues to look around to strengthen their attack. According to an exclusive report by calciomercato.it, one of the names being closely followed by sporting director D’Amico is Eliesse Ben Se...
Scientists Use Ancient Rains to Map the Possible Origin Life on Mars
Billions of years ago, rain may have helped shape where the chemistry of life could begin on Mars. A new study maps how formaldehyde, an important prebiotic molecule, may have reached the surface. This map could help guide future missions searching for signs of past life on Mars.
Remembering 1970 Britain — a cautionary tale
Well, if you listen to the polls and the political talking heads these days, in less than a month we will see a blue something sweep across the electoral map. Some say a blue wave and bolder predictors claim a blue tsunami is coming. Heck, I’ve even seen a prediction that Kansas might elect a […]
Immune Cell Map Uncovers How Individual Aging Trajectories Diverge
Researchers created an immune aging map showing that a balance between two immune cell types can predict future health. The findings link immune aging patterns to risks of chronic disease, mortality, and unhealthy aging.
Can science prove that flat Earth theory is wrong? Here’s the evidence
Flat Earth theory can be tested without relying on space photographs or one institution. Several independent observations make the result difficult to escape.
“There are aliens already on Earth.” Does scientific evidence support this?
Claims that aliens are already here are everywhere, but proving them is another matter. The strongest cases become more interesting when you examine what the evidence can actually establish.
The Senate map expands (again): From the Politics Desk
Plus, the secretary of state races to watch.
Texas' gerrymandered congressional map might come up short for GOP
Texas Republicans redrew congressional maps to add five more GOP seats at President Trump's request, but they aren't likely to pick up that many.
Siemens focuses ultrasound business on procedural imaging
As of October 12, 2026, the company no longer offers its Acuson Sequoia, Redwood, Juniper, and Maple systems.
Leafs catch tough break with injury news on Chris Tanev
Latest injury news raises concerns for Maple Leafs blue line.
Thailand's New Political Status Symbol Is A $60 Casio Watch
Nicknamed the "Casio Royale," the retro-futuristic digital watch with a distinctive world-map display has become a badge of proximity to power, earning its wearers the moniker the "Casio Connection."
CaroMont and Duke Health plan two new hospitals in Mecklenburg County
CaroMont Health and Duke Health are seeking state approval to jointly build two hospitals in Mecklenburg County.
State of Texas: Tight races test voters, parties and a new political map
The race for U.S. Senate is the biggest story in Texas politics, and it's getting nationwide attention. Campaign spending between Ken Paxton and James Talarico is on pace to set records, and the race ...
State of Texas: Tight races test voters, parties and a new political map
The race for U.S. Senate is the biggest story in Texas politics, and it’s getting nationwide attention. Campaign spending between Ken Paxton and James Talarico is on pace to set records, and …
Fabregas: “This was our best performance since I’m here.”
Cesc Fabregas spoke to Dazn after the 0-0 draw against Roma. The Como coach commented on the match: “We are two attacking, proactive teams. A 0-0 is unusual; the red card changed the game. To play a...