SCROLL NEWS / DISCOVERY
Search headlines
Find the stories shaping the conversation.
Results for " earnin " 2,076 found 🔀 AI-powered Shuffle
Q3: Omnicom’s Media Business Is Growing, But Is It Agent-Proof?
If AI agents can plan and buy media, who needs a holding company? Good question. It came up during Omnicom's Q3 earnings on Thursday.
AMC Entertainment Holdings, Inc. to Announce Third Quarter 2026 Results and Host Earnings Webcast
LEAWOOD, Kan., October 22, 2026--AMC Entertainment Holdings, Inc. (NYSE: AMC) ("AMC" or "the Company"), the largest theatrical exhibition company in the world, announced today that it will report its results for the third quarter ended September 30, 2026, on Wednesday, November 4, 2026.
The One Chart That Explains Why Netflix Cleaned House
(Welcome to my weekly streaming ratings report, the single best guide to what’s popular in streaming TV and what isn’t. I’m the Entertainment Strategy Guy, a former streaming executive who now analyzes business strategy in the entertainment industry. If you were forwarded this email, please subscribe to get these insights each week.) Yeah, I’ll be honest: I went with a clickbait-y headline today. One chart? That explains everything? That’s as clickbait-y as it gets. But let’s be real. I’m analyzing a dataset that I’ve built over six years, and c’mon, I never write articles which feature just one chart! If you think this article—which includes a level of data detail unheard of in journalism twenty years ago—is clickbait, fine by me. Really, what I’m doing is using data to explain Netflix’s recent strategy changes, since the story of the month is the turbulence at Netflix. First, head of content Bela Bajaria was fired. Then head of film Dan Lin followed her to the unemployment ranks. (Along with, sadly, 1,000 other Netflix workers.) And then Netflix delivered a “sub-optimal” earnings report, which continued their year-long stock price slide. Then came a flood of articles explaining why all this is happening. (Mine’s coming shortly, rest assured.) I realized I had the perfect chart to explain Netflix’s woes. Specifically, Nielsen’s weekly top ten charts. Usually I focus on one or two weeks in my Streaming Ratings Reports, but sometimes it’s worth stepping back to look at the larger story. And hoo boy, what a story. This article is my annual (plus three months) follow-up to one of my most popular articles of last year. (And a topic I’ve been visualizing for the last half decade.) Subscribe Netflix’s Share of The Nielsen Charts Continues to Decline
Health Sciences and Marine & Environmental Sciences Programs Launch In
A new University of New Haven initiative brings together Health Sciences and Marine & Environmental Sciences faculty to advance accessible science education, inclusive learning, and community-engaged
Pullup Entertainment Q2 2027 Earnings Call Is Live
Pullup Entertainment's quarterly earnings call has just begun.Live earnings calls are not yet supported in the mobile app. To listen and follow along in real time, open TradingView website in your browser.
How Pittsfield’s Reid Middle School is making STEM learning hands-on
At Reid Middle School, students built scissor lifts as Education Secretary Stephen Zrike Jr. visited during STEM Week,
Selective partnerships define Scottie Scheffler’s off-course business strategy
Scottie Scheffler’s endorsement strategy prioritizes select, values-aligned partners over volume, resulting in $30M annually off the course versus $50M in PGA Tour earnings, a rare split among elite athletes.
Nasdaq Revenue Rises 14% as Financial Technology Business Expands
Nasdaq reported higher third-quarter revenue and earnings Thursday (Oct. 22), supported by growth in its financial technology and capital markets
USA TODAY Sports Top IX flag football players of Week 9
These nine flag football players made their mark across the country this week, earning a spot among USA TODAY Sports Top IX.
UTA Science Learning Center sets up laboratory-themed escape rooms
The event aimed to highlight resources for students and incorporated anatomy models, chemistry model sets and more.
What International Business Machines (IBM) Said on Its Q3 Earnings Call
International Business Machines (NYSE:IBM) reported third-quarter 2026 revenue growth of 6% at constant currency, led by accelerating software sales, infrastructure demand and modest consulting growth. The company said operating pre-tax margin expanded 70 basis points and diluted operating earnings
Tracking tsunamis triggered by extreme weather
As much of Western Europe faced record-breaking temperatures and extended drought this summer, Croatia experienced another weather event that could also set a worrisome precedent.Over the course of two weeks, a series of meteorological tsunamis (meteotsunamis) struck Croatia’s Adriatic coast, alarming both residents and tourists. Social media posts showed flooded seaside promenades and people walking through knee-deep water. Fortunately, no deaths or major damage were reported.In a world where natural disasters seem to be increasing, meteotsunamis — tsunamis caused by rapid weather changes – rarely make headline news. But warming sea temperatures and changing atmospheric conditions may help explain why these phenomena could become more common, especially in shallower seas and inland lakes with wide coastal shelves.“We have definitely become more aware of them, and there have been a lot more reports of these events in the last 10 years,” says Jadranka Šepić, an associate professor of environmental physics at the University of Split whose research focuses on efforts to track meteotsunamis in real time. She is also one of Croatia’s ambassadors for Science Comes to Town (SCTT), a European Commission-funded programme aimed at making research more accessible to the public.Šepić sees two possible reasons for the apparent increase in meteotsunamis. One is that photos and videos shared on social media are providing more empirical evidence, while rising air and sea temperatures could also play a role. The geophysicist “cannot say with certainty” that warming is a contributing factor because research is still ongoing. “But I can say that previously in Croatia we might have had one exceptionally strong event every 10 or 15 years, and one strong event every five years, and within 15 days this summer we had five strong events,” Šepić notes. “This is not typical.”‘A fist against the sea surface’Unlike tsunamis that are triggered by underwater earthquakes or volcanoes, meteotsunamis are caused by sudden changes in atmospheric pressure combined with other rapidly developing weather events, such as thunderstorms. The effect “is like pushing a fist against the sea surface,” Šepić explains. The resulting oscillation intensifies as it reaches shallower water, and “can be far more destructive than a wind-driven wave because meteotsunamis are accompanied by very strong currents than can penetrate much deeper inland.” The meteotsunami, she continues, “then behaves the same as a tsunami — they slow down and grow as the sea shallows, and then grow further in places like harbours due to further shallowing and narrowing. When they come ashore, they can be very destructive — taking everything with them out to sea and then taking it back.”Croatian research institutions have tracked such sea oscillations since the 1930s because the relatively shallow Adriatic Sea is prone to meteotsunamis. The strongest recorded so far was in June 1978, according to the Adriatic Meteotsunami Catalogue, which is supported by the European Research Council (ERC), Croatian Science Foundation and the country’s leading research institutions. During that event, six-metre-high waves flooded the coastal town of Vela Luka on Korčula Island, causing major damage.Other meteotsunami “hotspots” in Europe include the Mediterranean Sea as well the Atlantic coastal shelves off France, Portugal and Spain. In June 2006, a meteotsunami with five-metre-high waves swept through the harbour of Ciutadella in Spain’s Balearic Islands, causing widespread damage to boats. Several less powerful events were reported in the Balearics and off the coast of Spain this summer, leading to some beach closures.Forecasting is challenging because of how quickly meteotsunamis can develop and their uncertain trajectory. Šepić is involved in two ERC-funded research projects — SHExtreme and MeD-Track — aimed in part at strengthening monitoring and real-time data collection. Access to accurate and immediate information is essential for early-warning systems.Early exposure to meteotsunamisŠepić first learned about meteotsunamis from her parents while growing up in Croatia. She later had the opportunity to investigate these events during her master and doctoral studies in geophysics at the University of Zagreb. The geophysicist has also conducted research at the Institute of Oceanography and Fisheries in Split, the University of the Balearic Islands in Palma de Mallorca and the Institute of Ocean Science in the Canadian province of British Columbia.Projects like SCTT are important to raise awareness about research and inspiring young people to pursue studies and careers in science, notes Šepić. She credits her colleagues at the University of Split and the Institute of Oceanography and Fisheries for their community outreach and engagement in the European project, which includes partner universities and institutions in Brest (France) and Kiel (Germany). As an example of town-gown collaboration, Šepić highlights her own university’s ‘Oceanographers on the Island’ programme. This initiative offers workshops and hands-on learning for children living on numerous Croatian islands.“It is a great privilege for Split to be involved in a project like Science Comes to Town, which is the first of its kind in the European Union," Šepić says. As for encouraging new generations of scientists, “This is a great effort, and I hope that we will see an effect in a few years.”Science|Business, which connects policymakers, academics and industry through its news reporting, analysis and events, is an SCTT partner.
Science of Learning Should Guide AI Use Decisions (opinion)
AI tools may be evolving quickly, but we have a deep research base we can draw on to determine how they help meet—or undermine—any particular learning goal.
Federal report shows wage growth well below rate of inflation
New federal data shows that median weekly earnings among full-time workers in the third quarter of 2026 rose 1.5% compared with the same period in 2025. The gain was below...
Meta earnings: Mark Zuckerberg says Muse AI app hits over 10M users
CEO Mark Zuckerberg announces 10M users for Meta's Muse AI app since September. Meta's stock was up after its third-quarter earnings report.
Christina Applegate’s Health Journey, From Early MS Symptoms to Learning She was Misdiagnosed
After years of treatment, hospitalizations and pain, the actor says her misdiagnosis isn’t welcome news.
Bank of America (BAC): Is Its Wealth Business More Valuable Than the Headline Bank Suggests?
Bank of America Corporation (NYSE:BAC) has a wealth franchise that deserves attention beyond lending spreads. Second-quarter 2026 Global Wealth and Investment Management net income reached $1.41 billion, roughly 16% of group earnings. That contribution matters when comparing bank stocks favored by billionaires: advisory fees diversify revenue, although rising markets still influence their value. Bank of […]
Baidu (BIDU) Expands Its AI Business, but the Core Revenue Recovery Remains Uncertain
Baidu, Inc. (NASDAQ:BIDU) is expanding autonomous driving and AI services while its traditional business stays under pressure. That raises a hard valuation question: can the new activities grow fast enough, and profitably enough, to replace what the established business is losing? At roughly 19 times forward earnings, investors pay for that transition to work. They […]
Elevance Health Shares Rise as Third-Quarter Earnings Beat Estimates and 2026 Guidance Increases
Elevance Health Inc. (NYSE:ELV) shares advanced 1.
Misericordia University Announces New Partnership with Northeast College of Health Sciences
Misericordia University recently announced a new educational partnership with Northeast College of Health Sciences designed to provide students with a streamlined pathway toward earning a Doctor of Chiropractic degree.
UTC computer science team’s AI research paper accepted to NeurIPS 2026
A research team in the University of Tennessee at Chattanooga Department of Computer Science and Engineering has had a paper accepted to the main track of NeurIPS 2026, one of the world’s leading conferences in artificial intelligence and machine learning.
Finding his way: Caleb Bonemer adds another route to Chicago
After a 37-homer season, the organization’s No. 2 prospect is learning the outfield to give the White Sox more ways to fit his bat into the lineup
When Should AI Be Used in the Classroom? Learning Science Offers a Guide -- THE Journal
District and state policies run the gamut from embracing to banning AI. This raises a key question: When does AI accelerate student learning and when does it interfere?
Philip Morris Says Global Wars Have Disrupted Its Business and Clouded Earnings Outlook
Tobacco giant Philip Morris says it anticipates the global conflicts will impact operating income this year.
Elevance Health: Q3 Earnings Snapshot
INDIANAPOLIS (AP) — INDIANAPOLIS (AP) — Elevance Health Inc. (ELV) on Wednesday reported third-quarter earnings of $1.
How Investors May Respond To PENN Entertainment (PENN) Massachusetts Slot Debate
PENN Entertainment has opposed proposed legislation in Massachusetts that would permit historical horse racing devices that function like slot machines. The company argues these terminals could shift up to US$216 million in annual gaming revenue and affect an estimated 1,074 casino jobs across the state. The company has recently reported earnings that exceeded consensus estimates, with an average surprise of 72.86% over the last two quarters. This highlights an operating profile where...
How Small Pharmacy Expansion Will Impact CVS Health (CVS) Investors
CVS Health has been rolling out smaller pharmacy focused stores, expanding MinuteClinic sites and raising its 2026 revenue and earnings outlook, alongside new efforts in benefit transparency and women’s midlife health research. The push into underserved neighborhoods with compact pharmacies and clinics points to a tighter focus on access, operating efficiency and aligning physical sites with where prescription demand actually shows up. This article examines how CVS Health’s investment...
Science Hill advances as four local teams fall in state volleyball tournament
Five local teams began their bids for state volleyball titles Tuesday in Murfreesboro, with Science Hill earning a five-set win to advance to the Class 3-A semi
SpaceX’s Musk Lauds Its Soaring Cloud Business and Possible Tesla Merger
SpaceX put on a bit of a show for shareholders today—and I’m not referring to the sizzle reel of rocket and space videos it showed on its earnings call. No, the big attention grabber was the update from CEO Elon Musk on the progress of SpaceX’s contemplated merger with Tesla and just how ...
SpaceX touts possible Tesla merger after profits soar
After a stellar SpaceX earnings announcement, chief executive Elon Musk said the rocket company is considering a merger with Tesla, the electric car company he also helms.
AMC Entertainment Holdings (AMC) Shares Climbed, What Is Driving Attention Now?
AMC Entertainment Holdings (AMC) reported a strong Q2 earnings surprise, with revenue up 14.2% year on year and the stock climbing 48.7% since the report. AMC Entertainment Holdings has leaned into this momentum, with a 30-day share price return of 14.07% and a 90-day move of 36.89%, supported by the recent debt refinancing and the launch of its AMC Movie Trivia Game Show mobile app. The year-to-date share price return of 91.30% contrasts sharply with a 3-year total shareholder return that...
Netflix has stopped talking about plans for video games and podcasts
When Netflix released its third-quarter earnings on Tuesday, the streamer had nothing to say about its games or video podcasts.
SpaceX revenue soars 161% as AI business grows
Elon Musk-led SpaceX issued its second-ever quarterly earnings report on Tuesday.
Experts Reveal How MS Can Be Misdiagnosed Amid Christina Applegate’s Surprising Health Update
Christina Applegate is searching for answers after learning that she was misdiagnosed with multiple sclerosis (MS) five years ago — and medical experts say several conditions can be mistaken for MS, m...
SpaceX earnings soar past expectations as AI business surges
Elon Musk's company is one of the most powerful companies in the AI economy.
SpaceX Swings to a Profit, Even as A.I. Spending Soars
Elon Musk’s rocket company also said its revenue had more than doubled, driven by its Starlink internet satellite service and artificial intelligence products.
Supermicro Provides First Quarter of Fiscal Year 2027 Preliminary Business Update
SAN JOSE, Calif., October 20, 2026--Super Micro Computer, Inc. (NASDAQ: SMCI) ("Supermicro" or the "Company"), an AI, Enterprise, Storage, and 5G/Edge IT Total Solution Provider, featuring Data Center Building Block Solutions® (DCBBS), today is providing a preliminary business update for the first quarter of fiscal year 2027 (Q1’27), ended September 30, 2026, and schedules earnings call for November 3rd at 5pm EST.
Nonpartisan coalition of religious leaders plans to counter voter intimidation on Election Day
The diverse, multifaith group is training all the way through the end of October online and in person learning de-escalation techniques and equipping themselves with knowledge of local laws and resources.
Former Ohio State standout emerging as potential NFL rookie starter
Former Ohio State cornerback Davison Igbinosun is earning high praise from the Buffalo Bills coaching staff after his recent play.
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.
Kenny Atkinson Makes Candid Admission About Mario Hezonja’s Cavaliers Role
Kenny Atkinson says Cleveland is still learning how Mario Hezonja fits and does not want to put the returning NBA veteran in a box.
More Than Athletes: How UT Health Sciences Is Preparing the Next Generation of Sports Pharmacists
As the sports pharmacy field grows, UT Health Sciences College of Pharmacy students are learning to explore this career path.
More Than Athletes: How UT Health Sciences Is Preparing the Next Generation of Sports Pharmacists
As the sports pharmacy field grows, UT Health Sciences College of Pharmacy students are learning to explore this career path.
Will PENN Entertainment (PENN) Beat Estimates Again in Its Next Earnings Report?
PENN Entertainment (PENN) has an impressive earnings surprise history and currently possesses the right combination of the two key ingredients for a likely beat in its next quarterly report.
Jauan Jennings Trade: Raiders, Vikings Connected In Rumor
Jauan Jennings has not lived up to expectations with the Minnesota Vikings, and the team could part ways with the veteran receiver before the trade deadline. A seventh-round pick in the 2020 NFL Draft, the Tennessee product spent his early years in a supporting role before earning more snaps later in his career. He first …
Mississippi Gulf Coast Community College students use AI to solve business problems
Students at the Harrison County campus are learning ways to solve real-world problems using artificial intelligence.
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.
AI is Changing Science: Here’s What Journalists Need to Know
Researchers are rapidly adopting AI for everything from data analysis to planning and executing entire research studies. Journalists will need to keep up. That means learning the basic principles, strengths, and weaknesses of the diverse technologies labeled as “AI”—and how to tell when using AI in science is actually noteworthy. Luckily for science reporters, knowing your beat well can help you cut through the hype.
Scientists discover learning and memory formation in model membranes
A decades-long collaboration between two Department of Energy Oak Ridge National Laboratory scientists is reshaping how we understand
GM’s core profit rises 22% on strength of pickup-truck business
By Kalea Hall Oct 20 (Reuters) - General Motors’ third-quarter results easily beat analyst expectations on the back of resolute shoppers who continue to spring for pricey pickups and SUVs. The company on Tuesday said quarterly earnings before interes...
SpaceX earnings put Elon Musk's Starlink cash cow to the test
Elon Musk is taking a big swing in his bet to turn Starlink into a mobile carrier just in time for earnings.
Review: Castlevania: Belmont's Curse (Switch) - A Pro-Grade Metroidvania With A Stiff Learning Curve
This time it's war
Caesars Entertainment (CZR) Projected to Release Quarterly Earnings on Tuesday
Caesars Entertainment (NASDAQ:CZR) will be releasing its Q3 2026 earnings after the market closes on Tuesday, October 27. (View Earnings Report at https://www.marketbeat.com/earnings/reports/2026-10-27-caesars-entertainment-inc-stock/)
Earnings To Watch: Elevance Health (ELV) Reports Q3 Results Tomorrow
Health insurance provider Elevance Health (NYSE:ELV) will be reporting results this Wednesday before market hours. Here’s what investors should know.
Lil Jon recalls learning man who raised him isn’t his biological father
The rapper writes about the experience in his new memoir, “I Only Shout So You Can Hear Me.”
ABB says data centre business booming, Q3 figures in line with forecasts
ABB is continuing to see a boom in spending on data centres used to power artificial intelligence, the engineering group said on Tuesday, as it reported its latest earnings.
MTSU group selected for prestigious Berkeley Lab learning opportunity
MURFREESBORO, Tenn. — Five students from Middle Tennessee State University will travel to California this November for an immersive “mini-semester” at Lawrence Berkeley National Laboratory, also known as Berkeley Lab. Nyah Bentley, Addison Berry, Tomy Chet, Sarah A. Holzmann, Gavin Liles and Gloria Silva will join groups from two other universities, Spelman College and the University of […]
Kingston Flemings Reveals What He’s Learning From Hawks’ Elite Defenders
Kingston Flemings says Dyson Daniels, Nickeil Alexander-Walker and Luguentz Dort are teaching him different defensive habits before his NBA debut.
Rural Health, Inc. to hold 5th annual Night of the Living Health Fair on Friday
Rural Health, Inc. will hold its annual Night of the Living Health Fair on Friday, inviting the community to trick or treat while also learning about Southern Illinois healthcare services
Deep learning model demonstrates potential to generate an interpretable brain health biomarker from sleep electroencephalography
Ganglberger and colleagues assessed a deep learning model’s ability to derive brain health scores from electroencephalography data.
Bluey's Happy Snaps launches with an unobtainable Xbox achievement
After launching into Xbox Game Pass last week, players have found a broken achievement in Bluey's Happy Snaps that prevents them from earning the Mythic.
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.
New Episode “The Science Fair Disaster” Inspires Children to Embrace Science, Creativity, and Learning from
— Keisha and Alexis’ Grand Adventures, an educational animated YouTube series for children ages 5–10, introduces its latest episode, “The Science Fair
DK Metcalf very busy in Week 6 OT win
DK Metcalf tied his career high in targets, earning 15 - and catching 11 - in Week 6 against the Buccaneers.
Revenue And Earnings Growth Could Be A Game Changer For agilon health (AGL)
agilon health has reported strong annual revenue and earnings growth from its model of partnering with primary care physicians to deliver value-based care for Medicare patients through long-term, globally capitated contracts. The combination of accelerating financial performance and the scaling of its value-based primary care network indicates that agilon health is gaining share where payers and physicians seek partners willing to take on population-level risk. We will now look at how agilon...
Kaia Gerber pens heartbreaking tribute to late brother Presley: ‘This party sucks so bad without you, Prez’
“I am learning how to love you when I cannot see you,” the model wrote in a letter addressed to her brother, who died on Sept. 20.
Utah Tech University receives National Institutes of Health flagship research grant
Utah Tech University has received its first National Institutes of Health research grant, worth more than $1 million, creating more opportunities for student learning, workforce development and scientific discovery in
Hundreds of Families Turn Out for Celebrate Science Indiana Festival
The October 10th event allowed children and parents the opportunity to conduct science experiments, learn about robotics, and more. The 15th annual Celebrate Science Indiana Festival brought together thousands of students, families, educators, and science enthusiasts to the Indiana State Fairgrounds for a day of hands-on learning and exploration. Organized by the Science Education Foundation […]
Box Office: Elizabeth Holmes movie ‘You Can See Everything’ is now a hit in theaters too
Paramount's “Street Fighter” leads the box office this weekend, earning $31 million from 3,575 theaters in the U.S. and Canada | WBBM Newsradio 780 AM & 105.9 FM
Box Office: Elizabeth Holmes movie ‘You Can See Everything’ is now a hit in theaters too
Paramount's “Street Fighter” leads the box office this weekend, earning $31 million from 3,575 theaters in the U.S. and Canada. However, the spotlight is on the Elizabeth Holmes documentary “You
Box Office: Elizabeth Holmes movie ‘You Can See Everything’ is now a hit in theaters too
Paramount's “Street Fighter” leads the box office this weekend, earning $31 million from 3,575 theaters in the U.S. and Canada | KNX News 1070 AM
'Street Fighter' is 1st, but 'You Can See Everything' stuns in 2nd
Paramount's “Street Fighter” leads the box office this weekend, earning $31 million from 3,575 theaters in the U.S. and Canada.
Box Office: Elizabeth Holmes movie ‘You Can See Everything’ is now a hit in theaters too
Paramount's “Street Fighter” leads the box office this weekend, earning $31 million from 3,575 theaters in the U.S. and Canada.
Why Buffett's Berkshire is betting nearly $1 billion on Bending Spoons
Warren Buffett's storied company has historically avoided tech stocks, but Bending Spoons is a long-term acquirer that prizes ownership and learning.
Children learn about nuclear science as they trick-or-treat through Fall Fission Fest
AIKEN — Children dressed in Halloween costumes filled a downtown parkway Oct. 17, learning about nuclear science and even wielding Geiger counters at the SRS Heritage Foundation’s fourth Fall Fission ...
At latest No Kings rally in Seattle, thousands say, ‘Your vote matters’
Thousands filled Seattle Center on Saturday in protest of President Donald Trump, while also learning about voting rights and more ahead of the 2026 midterms.
The Surprising Reason Some Children Struggle With Math, According to Science
Language and reasoning skills help predict math performance, offering clues to the learning difficulties that a test score alone may miss. Why do some students grasp mathematical concepts with ease while others struggle, even after repeated instruction? The answer may lie in abilities that extend far beyond working with numbers. Mathematics requires students to recognize
Nvidia vs. AMD: Which AI Business Has More Room for Margins to Fall?
What separates earnings resilience between NVIDIA Corporation (NASDAQ:NVDA) and Advanced Micro Devices, Inc. (NASDAQ:AMD)? Both sell AI compute, but a dollar of lost margin has a very different effect on their current profits. The stocks rank first and fifth in our 10 Best AI Infrastructure Stocks to Buy for the Long Term, respectively. See which […]
Quin Hillyer: Louisiana is earning praise for business-friendly climate. Here’s what experts see.
A reputable business journal has ranked Louisiana near the top of the country for its business atmosphere. With some help from experts, columnist Quin Hillyer takes a look at what Louisiana is doing well and why it’s on the verge of doing even better.
Young Entrepreneurs Get Their Earliest Business Experiences in Northeast Ohio Schools
Forget the hypothetical business plan. At schools across Northeast Ohio, students are making products, finding customers and learning what it costs to be wrong.
Long Beach student advances to national science competition finals
Long Beach student Hanna Heitefuss is the only New Yorker among 30 finalists in the 2026 Thermo Fisher Scientific Junior Innovators Challenge, earning national recognition for her research on saltwater intrusion and its effects on plants and aquatic life.
Travelers earnings rise as commercial insurance pricing stabilizes
Travelers reported higher third-quarter earnings Friday as commercial insurance pricing stayed largely stable and investment income rose.
Angine de Poitrine is weird. That may be exactly what your brain craves.
Québécois rock duo Angine de Poitrine has gone viral for its bizarre costumes and unconventional music, earning praise from rock legends. A cognitive neuroscientist explains the science behind its app...
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.
Pat McAfee Net Worth in 2026: ESPN Salary, NFL Earnings and Business Ventures
Pat McAfee has turned a seventh-round punting career with the Indianapolis Colts into a sports media fortune, and his next ESPN contract could double what he al
Joe Romano brings the magic of science to West Hazleton Elementary
On Oct. 6, fourth- and fifth-grade students and their families at West Hazleton Elementary/Middle School enjoyed an engaging and educational presentation by Joe Romano, who combined science and magic to create an unforgettable learning…
J.B. Hunt third-quarter earnings rise narrowly, revenue up 20%
J.B. Hunt Transport Services Inc., a Lowell-based transportation services company, posted gains in earnings and revenue in the third quarter of 2026 as freight demand and costs rise. After markets...
Seaport Entertainment Group Announces Third Quarter Earnings Release and Conference Call Dates
NEW YORK, October 15, 2026--Seaport Entertainment Group Inc. (NYSE: SEG) ("Seaport Entertainment Group" or the "Company") today announced it will release its third quarter financial results after the market closes on Wednesday, November 4, 2026. The Company will host a conference call and audio webcast to discuss the results on Thursday, November 5, 2026 at 8:30 AM ET.
Hungry for Scale, Wary of Reimbursement: The Behavioral Health M&A Dilemma
To sell or not to sell, that is the question facing private equity and behavioral health operators today. Timing the market has rarely felt this
California students post gains in math, science and English in 2025-26
SACRAMENTO, Calif. — California students made gains across key academic and success measures during the 2025-26 school year, with test scores rising in English, math and science while the statewide graduation rate reached a record high of 87.9 percent. For the first time, the state released assessment results and California School Dashboard data together to give families and educators a more complete picture of student performance.English language arts scores increased 0.5 percentage points to 49.3 percent of students scoring proficient or advanced, while math scores rose 1.1 percentage points to 38.4 percent. Science showed the strongest improvement, jumping 3.3 percentage points to 36 percent of students scoring proficient or advanced.The statewide chronic absenteeism rate dropped 1.1 percentage points to 18.3 percent. The suspension rate declined to 2.8 percent, marking the third consecutive year of improvement."At a time when California continues to focus on accelerating learning and closing opportunity gaps, these results provide important evidence that our sustained investments are making a difference," Gov. Gavin Newsom said. "The continued progress we are seeing is a testament to the hard work of students, families and educators across the state—and we will continue working to build on these gains."The percentage of students prepared for college and career increased to 55.2 percent, up 2 percentage points from the previous year. More than 54 percent of graduates completed coursework required for admission to University of California and California State University systems, an increase of 0.9 percentage points."California has made important strides in expanding student supports and opportunities, but the pace of academic improvement reminds us that our work is far from finished," State Superintendent of Public Instruction Tony Thurmond said.Eighth grade students posted the strongest score trends in both English language arts and math. Science performance improved across all tested grades, with the strongest gains at the high school level.African American students demonstrated larger-than-average improvements across English, math and science. Hispanic or Latino students showed larger-than-average improvements in English and math, with positive math score trends across all grades.Students who were socioeconomically disadvantaged made gains across all 3 subjects, including larger-than-average improvements in English and math. Students who were homeless continued to demonstrate gains across grades, with particularly strong improvements in math."We are encouraged to see students making gains across all 3 major assessments and are especially encouraged by the progress of African American students, Hispanic or Latino students, socioeconomically disadvantaged students and homeless youth," said Linda Darling-Hammond, president of the California State Board of Education.The progress comes as California's public school system undergoes significant demographic change. Statewide school enrollment declined to approximately 5.73 million students in 2025-26, nearly 500-thousand fewer students over the past decade.The number of students with disabilities increased approximately 25 percent over the same period, from about 680-thousand to more than 850-thousand students. Graduation rates increased across nearly all student groups, including notable increases for American Indian or Alaskan Native students at 4.3 percentage points and students with disabilities at 3.7 percentage points.In Downey Unified School District, the rate of students demonstrating proficient or advanced grade-level knowledge increased by 2.1 percentage points in English, 2.8 percentage points in math and 4.7 percentage points in science. The district aligned graduation requirements with college admission expectations and invested in inclusive special education practices, expanded career technical education and expanded learning opportunities."The gains Downey Unified is seeing in student assessment results and on the Dashboard are the result of years of focused, consistent work across the district," Superintendent Roger Brossmer said.In Exeter Unified School District, proficiency rates increased by 4.6 percentage points in English, 2.3 percentage points in math and 3.6 percentage points in science. The district placed a strong focus on phonics and the science of reading, particularly in kindergarten through second grade."The gains Exeter Unified is seeing in student assessment results and on the Dashboard are the result of having great people who are focused on the right work, and great students who want to do well," Superintendent Melanie Dorough said.Union Elementary School District saw proficiency rates increase by 1.5 percentage points in English, 2 percentage points in math and 4 percentage points in science. Teachers regularly analyze state and local assessment data to guide instruction, supported by strong core instruction and early literacy strategies."Union Elementary School District's achievement gains reflect a focused, data-driven approach to meeting the needs of every student while fostering a strong sense of belonging, safety and connection," Superintendent Carrie Andrews said.The California Department of Education is examining local results to better understand strategies and conditions associated with stronger student outcomes. The state has made significant investments in recent years, including literacy and math coaching, tutoring, expanded learning opportunities, community schools and universal transitional kindergarten.
STC Honors Inaugural Staff of the Year Recipient
Norine Bardo joined the South Texas College team in 2020, amid a global pandemic, when everyday life was uncertain. Over the years, the one thing that remained steadfast was her dedication and commitment to the college, earning her the inaugural 2026 Staff of the Year Award for Pecan campus.
What Chinese viewers are learning from America’s political chaos
What many Chinese viewers see is not a nation falling apart, but a freedom they have never been allowed to have at home.
Science Wizard David Hagerman to perform extreme science at Knollwood School
Renowned science wizard David Hagerman brings magic to learning at Knollwood School
Companies pledge free software and computing for AI in science
The European Commission has announced that a group of companies and foundations will offer free services, such as software or access to supercomputers, to European scientists using AI in their research.Unveiled on October 15 at a conference in Dublin, the initiative is the latest step by the Commission to try to help researchers use the technology. Scientists have used forms of AI, such as machine learning, for decades. But advances in deep learning in the past decade, and the wider interest in large language models since the release of ChatGPT in 2022, have spurred governments to invest in new AI tools that could help the scientific process.In July, the US announced it is spending $5 billion on the Genesis Mission, which it describes as a “national effort to harness AI for science,” funding 278 projects across areas such as autonomous labs or new AI tools in astronomy. The Commission has also identified AI in science as a priority, but the €107 million it pledged from Horizon Europe in 2025 does not come close to US spending levels. That said, the vast majority of public research spending in the EU comes from national funds. Today’s announcement at the European AI in Science Summit doesn’t commit any new public money. Instead, it launches the AI in Science Enablers Initiative, a set of voluntary contributions from companies and foundations. The idea is that the companies also benefit by getting access to scientific ecosystems, and feedback on how their tools work. Google, for example, has put up €3 million of cloud computing credits to European researchers. The Novo Nordisk Foundation intends to make its supercomputer, Gefion, available to European researchers, according to the Commission statement. The chipmaker Nvidia said it would provide access to tools, compute, training and collaborative projects.The publisher Elsevier also offered complementary licenses to some of its AI tools, plus AI training for PhD, postdoctoral and master’s students. The French AI firm Mistral will provide the European research community with access to its open-weight models, Vibe seats and application programming interface credits, according to the Commission’s statement. Vibe is one of the firm’s chatbot models. The idea is that more firms and foundations will come on board in the future as the initiative grows.
NVIDIA Expands Advanced Technology Access for Europe’s Scientific Community Through Open Learning Resources, Collaborations and Compute
NVIDIA’s participation in the European Commission’s AI in Science Enablers Initiative deepens its commitment to supporting the pursuit of scientific progress across the region.
Lakeland receives $1 million to boost science, health care learning
A $1 million estate gift to Lakeland University will fund science scholarships and expand science and health care programs.
The secret to learning from failure may be what you do next
The timing and framing of failure can be critical for future success. A setback, says one researcher, can actually propel a person forward.
Different measures of what learning looks like
Colorado voters face some big propositions — Amendment 87, Proposition 136 and Proposition NN — about money. Nothing like a fight over dollars to get everyone’s hackles up. If Amendment 87 and Proposition NN pass and Proposition 136 fails, a chunk of money will go to our public schools to help make up for years […]
Campus Creamery’s new owners are learning business in real time
Campus Creamery is a South 40 favorite, a classic midnight snack for WashU’s underclassmen. Three sophomores took over the well-loved ice cream shop last January as first-years.
Quarterly income up almost 5% for Centennial Bank parent company
Conway-based Home BancShares on Wednesday (Oct. 14) reported third-quarter net income of $129.451 million, up 4.7% compared with the same period in 2025. The per share earnings of 65 cents...