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HOMETOWN HEALTH: ADHD in women often overlooked, experts say
ADHD affects executive functions such as focus, self-control and emotional management.
This Overlooked Part Of Your Stress Hormones May Affect Metabolic Health
How the body stores fat goes way beyond calories and macros.
Rafael Flores Jr. Has Earned the Pirates’ Starting Catcher Role
Many were critical of the Pittsburgh Pirates when they traded All-Star closer David Bednar to the New York Yankees at the 2025 trade deadline. Not only was Bednar a fan favorite, but a quality closer, and the return looked light compared to other relievers who were traded at the time. However, the headliner of the …
Popular weight loss drugs linked to a surprising fingernail problem
Popular GLP-1 weight loss drugs, such as Ozempic and Wegovy, have been linked to unexpectedly high rates of nail detachment, hair loss, and scalp inflammation, with some problems occurring several times more frequently among users. Researchers found that weight loss alone could not fully explain the differences, suggesting there may be more to these overlooked symptoms.
Nick Sirianni’s kickoff decision against the Jaguars wasn’t as dumb as it looked. Here’s why
Webb finds a surprising atmosphere on a scorching lava world
The James Webb Space Telescope has found strong evidence that the rocky lava world HD 3167 b has an atmosphere, despite circling its star every 24 hours under extreme heat. The surprising discovery could help scientists understand how rocky planets retain atmospheres and what the young, molten Earth may once have looked like.
Science Highlights Six Overlooked Pioneers Who Missed the Nobel Prize in Medicine
The international journal Science has spotlighted six groundbreaking achievements in the life sciences that never received Nobel Prize recognition.…
Domestic violence research highlights overlooked links between head injuries and mental health
Domestic violence can leave a lasting injury that cannot always be seen: damage to the brain. Strangulation or choking and blows to the skull—some of the most common forms of this abuse—can cause physical ...
Tennis star Emma Navarro reveals harrowing yearslong health battle — and how she 'gained my life back'
As the tennis calendar is in its final few months, Emma Navarro is speaking out about her health and revealing to all what the last three years have looked like for her.
Daldrop Opens for Business in Southern Oswego County
$10 Million Facility in the L. Michael Treadwell Oswego County Industrial Park marks the largest expansion outside of Germany in the company’s 73-year history By Stefan Yablonski [caption id=attachment_11076 align=alignright width=450] Daldrop SBB CEO Jens Daldrop addresses attendees at the 2025 groundbreaking for the project. Daldrop also chairs the advisory board of Germany-based Daldrop Group.[/caption] A new era of cleanroom technology is underway in Central New York. The Daldrop Group’s advanced manufacturing facility and U.S. headquarters is physically built within the L. Michael Treadwell Oswego County Industrial Park. This industrial park is located in the town of Schroeppel. It marks the largest expansion outside of Germany in the company’s 73-year history. Daldrop SBB is based in Neckartailfingen, Germany. It is a global supplier of cleanroom technology, primarily to the pharmaceutical industry. It designs and builds advanced cleanroom environments for the pharmaceutical, biotechnology and medical technology industries. It nvested $10 million in the new project. “We broke ground in 2025; we were under construction all winter. We just opened this spring, early spring,” said Benjamin Morrow, operations manager and control. The company consolidated sites in Salina and DeWitt into the industrial park in Schroeppel, Morrow added. “The next move here is to maximize every square inch of this facility and then we are already looking at the expansion. So, it is more capital investment on equipment — definitely higher-end automation in additional equipment so we can produce more components and then to support the ever-growing base in North America,” Morrow continued. “We are the headquarters for service, maintenance and spare parts. So as Daldrop has more and more installations, they need more and more service, maintenance and spare parts. So that will come out of this facility as well — it already is.” “As a global leader in GMP (global manufacturing support) pharmaceutical cleanrooms for decades, I am very proud to bring manufacturing jobs to Upstate New York,” said Mike Sullivan, president of Daldrop US operations. Key to choosing Southern Oswego County [caption id=attachment_11077 align=alignright width=450] Daldrop SBB at the L. Michael Treadwell Oswego County Industrial Park when the company announced the start of construction.[/caption] Sullivan said that the selection of the Schroeppel industrial park was mainly due to the help of Operation Oswego County and two people in the organization. “Prior to being purchased by Daldrop International from the Stuttgart region of Germany, Vince Bongio was a founding partner in SBB Inc. as well as our head of engineering. We based out of Syracuse due to Vince’s skills in HVAC and the manufacturing capabilities found in Syracuse,” said Sullivan. Bongio moved to Syracuse from California in the 1970s to work in Carrier’s Industrial Division of Large-Scale Petrochemical Refrigeration. Next, he advanced to General Electric’s TV Tube Plant where he got into cleanrooms ,leading to his role of head of engineering for Clestra Cleanrooms where he met Sullivan, their New England distributor. “Vince Bongio is a phenomenal engineer. Formerly of Carrier, he grew up in California and went to Cal Poly,” Sullivan explained. “Carrier hired him right out of college and he moved to Syracuse. He is the reason we are in Syracuse today. He is retiring this year. We are very proud and his legacy is having brought Daldrop to Syracuse.” In 2000, Sullivan, Bazinet, Bongio Inc (SBB) was formed with engineering and manufacturing, based in Syracuse, and sales and construction based in Massachusetts as it is today. “SBB Inc. started in Syracuse. I had a design–build contracting firm out of Massachusetts that was primarily doing all the new technologies coming out of MIT,” Sullivan said. “I started a manufacturing side. A big thing for cleanrooms is the HVAC. Most cleanroom suppliers are architecturally focused people. The strength in Syracuse is HVAC. So, SBB developed with me running sales and construction out of Massachusetts and manufacturing out of Syracuse.” “Daldrop wanted to have a relationship in the States and of those who approached us, they were the only ones who really understood HVAC. So, we were the right fit for them. We did a joint venture focused out of Massachusetts from 2012 to 2018 leveraging their technologies,” Sullivan explained. “The commitment was if we brought their product to the States, we would do that if they built it here. “The pieces that had to be in place to make the investment, they wanted to acquire us, we were great with that. If you looked at business recommendations the general guidance was to build in a low labor area — something like North Carolina — but Syracuse had a strong background in HVAC and we chose Syracuse and Oswego County to be our headquarters in the States. So, it is built off of history, technology and the existing supply chain — bringing jobs back to the area.” During the initial discussions with Daldrop about coming to the U.S., SBB agreed to sell under the conditions Daldrop would manufacture in the U.S. There are many areas that offer incentives and economic packages, but the strength of HVAC expertise and skilled manufacturing was a big part of the discussions for site selection. Coming home [caption id=attachment_11078 align=alignright width=451] Construction moves forward in March at the L. Michael Treadwell Oswego County Industrial Park.[/caption] The second key person to building in Oswego County is Ben Morrow, Sullivan added. “Ben has been working with Daldrop SBB for more than 12 years and has advanced to COO of manufacturing and engineering. Ben grew up in Phoenix, so building a factory for the Germany company in Phoenix is a strong success for both his community and the appreciation of Ben’s skills as a team leader,” Sullivan said. “I went to high school in Phoenix. So, this is like full circle for me. It’s a small world,” Morrow said. “I hadn’t been back to Phoenix since graduation. This is one of the properties that John Trimble of C&S, he is the former president of C&S, he just retired, suggested. He and I were very good personal friends. John was from Mexico and I was from Phoenix. We knew each other from high school. And the architect of this building, Ed Smart of smartDESIGN Architecture in Batavia — I went to high school with him. So, this was a project that’s full circle a coming home kind of thing. The three of us knew each other — kind of like it was meant to be. Very serendipitous.” Schroeppel was one option for Daldrop to consider; the original intent was just to get a warehouse to store some product, he added. The facility is Daldrop’s largest outside of their native country. Total payroll at the facility will be approximately $2.4 million once fully staffed. “Here is 32,000 square feet and we plan to expand and put in an additional 10,000 square feet,” Morrow said. “We have 17.5 acres. We can put at least three more facilities here, just on this property. The master plan submitted for the current building is the first of possible three buildings on the campus.” “If we can find the right people and advance the production according to the plan, we should be able to grow for the next decade. One of the first jobs we filled was our new HR manager, with a primary focus posting and filling new positions,” Sullivan said. Stop the exodus, start hiring [caption id=attachment_11080 align=alignright width=452] Principals at the local Daldrop SBB headquarters, from left: Ben Morrow, Mike Sullivan and Jens Daldrop.[/caption] “I have been coming to Syracuse for 30 years. One of the things I had a hard time watching was the exodus of factories. One of the toughest things is to watch it with my partners’ kids who had to move away for jobs. It is important for us to give opportunity where people’s kids don’t have to leave the area to get work,” Sullivan said. “My responsibility is to find people who have skill sets that want to work and then I have to build opportunity for that work to happen. “After years of watching companies and Vince’s three sons all move out of the areas to get jobs, it is important to us to provide opportunities for the Syracuse region and help grow our company. We have been hiring for our new factory and will continue for the next few years.” “We are hiring and will continue to hire. Currently we have about 19 on staff right now,” Morrow said. “We expect to grow that by about 10 to 15 in the next 12 to 18 months or so. We are at 19 currently — one in the wings. It’s been great being able to hire locally. All these folks that we’ve been hiring, they all live within a few miles from here.” “We hired someone this past week (end of August). She grew up in the area, raised a family and is working down in Florida. She just took a job with us so she can move back and be with her family. We will be moving her back and she should be starting in October. We are very happy to see this happen,” Sullivan said. “I feel strongly about having a spot for the kids to not have to move out of the area. It is better to have people moving into the area.” Currently, Daldrop SBB has openings for finance manager, COO of construction and delivery, as well as mechanical, electrical designers and Revit modelers, construction managers, commissioning agents and many other skills that are needed. Along with Daldrop’s reputation in life science cleanrooms, there is a strong history in semiconductor, electronics, glass, photonics, aerospace and other markets. This may be helpful with any new technologies building in the market such as the Micron expansion and the support network, Sullivan said. “We acquired this property and closed on it two months before any announcement from Micron. It is serendipitous that they’re right down the street from us,” Morrow added. “Everybody started thinking ‘you guys are supporting Micron.’ We were here first. That is not a goal of ours. We may or may not … they are talking to us; it is an opportunity.” The long run [caption id=attachment_11079 align=alignright width=450] Benjamin Morrow, operations manager and control at Daldlrop, speaks during a recent ribbon-cutting event in Schroeppel.[/caption] “Long term, we will expand the Phoenix facility,” Sullivan said. “We built our facility with a campus approach. Sustainability is big. We designed our rooms to be more sustainable. Our building has no gas lines for heat. We put geothermal wells in the ground. We put heat pumps in for heating and cooling out of those wells and we put a large layer of solar panels up on the roof. We worked with National Grid for metering. Our building is a high efficiency model. We upgraded all the instillation and the glass filtering. So, it is a very green building. We will have a very minimal carbon footprint. It also adheres to LEED (Leadership in Energy and Environmental Design) construction standards.” “We are a bunch of HVAC engineers. We did a large scale geothermal and spent the money up front because we knew it made sense in the business sense in the environmental sense and sustainability,” Morrow said. “We have insulated metal panels on walls and roof; we are an envelope from the exterior.” Daldrop, as a global player, has a strong culture of sustainability that is found in all its products including the new facility. The building has been designed with (sixteen) 400-foot deep geothermal wells, high efficiency construction methods, approximately 70 kilowatt solar photovoltaic panels, electric vehicle chargers and 26% recycled content. “Daldrop thinks of long-term investing,” Sullivan said. “On the roof, photovoltaic panels supplement our power. Over half the energy that I use is coming from the sun. We have chargers up front for employee electric vehicles. This place is built to last. This slab that we are walking on, normal buildings are four inches, some go to six inches, we are nine inches all the way through — except where the heavy equipment is — that is 10 to 12 inches thick, solid concrete. It allows us to reconfigure for whatever type of equipment we want to bring in,” Morrow said. “We are authorized by Underwriters Laboratory to self-certify so we don’t need to have an inspector come out and recertify. We get audited often, but we certify our own electronics. The control system in this building is rather high-end. Our thermostat in every room is zoned, independent. We analyze the data; incorporate it with our solar panels.” “There is a lot of competition for people to work. It’s not just about how much salary they are going to make — it’s about the work environment, the ability for stability. We want to make sure our employees have the best environment to work in,” Morrow added. Similarities “One of the reasons I believe why Daldrop chose this area, Phoenix in particular, is because it is a village, a river-based village. Neckartailfingen in Germany where Daldrop is based is also a river-based village, manufacturing community. So, there is a lot of similarities — that smalltown feel,” Morrow said. “We have a lot of connections through multiple employees that lead back to Carrier, also. Everything came together, the timing everything.” “We are thankful for all the economic development support. Everyone has been helping make this happen. So, keep it up, it is working, that is all I got to say, Sullivan said. “If you look at historical industrial manufacturing, this region has skills that have been un-utilized. The northern industrial region has a lot of skills that if we can tap before they go away, we can leverage them. That is what we are trying to do. You’d be surprised at the supply chain left behind from Carrier — that supply chain is still there.” “Operation Oswego County has been fantastic,” Morrow added. “I can’t say enough good things about that group.” What Is Cleanroom Technology Cleanroom technology is a system of specialized engineering, filtration and operational controls used to maintain an extremely low concentration of airborne particles, microbes and chemical vapors. How It Works • Air Filtration: Uses HEPA or ULPA filters to remove 99.97% of tiny particles down to 0.3 microns. • Airflow Control: Directs air in a steady, unidirectional (laminar) or filtered turbulent pattern to push dust away from work areas. • Environmental Regulation: Maintains precise control over temperature, humidity and positive air pressure to block outside air leaks. • Specialized Attire: Requires personnel to wear full-body garments (“bunny suits”), gloves and masks to stop human shedding
Black and Gold take care of business in Conway
App State football traveled down to Conway, South Carolina Friday. The Black and Gold looked to bounce back after a heartbreaking loss to Old Dominion University in a back and forth shootout with rival Coastal Carolina University. The first quarter was off to a shaky start. App State, who let penalties rule it last week...
David Krumholtz explains absence from “10 Things I Hate About You” reunion, Heath Ledger tribute on“ DWTS”
“Everyone looked so amazing.”
This founder built the RV he wanted for ski trips. It led to a $20 million business
Jim Ritchie felt that RVs looked like ‘1980s Vegas.’ His hybrid vehicle company, AEONrv, grew 4,231 percent in three years.
The Beach Boys' Mike Love Facing 'Health Challenges,' John Stamos Says
Beach Boys fans grew concerned after Love looked weak during a seated performance at Saturday's Cincinnati, Ohio, show.
This ancient fruit tree thrives with little water—and hides surprising health benefits - Futura-Sciences
An Overlooked Mediterranean Classic This fruit tree yields small “apples” that ripen from yellow to red in September, yet it’s been off the horticultural radar for a long time. That tree is the azarole (Crataegus azarolus), sometimes called the Spanish thorn or azarolier. Rare and seldom noticed, it’s high time...
Aaron Rodgers Dealing With Frustrating Stat From Steelers WRs
Pittsburgh Steelers quarterback Aaron Rodgers looked like his vintage self Sunday in a 30-27 victory over the Cincinnati Bengals. The veteran found nine different pass-catchers in the game and the offense was humming.Yet one game does not change the overall product put on the field by the Steelers offense through three games. One stat highlights […] The post Aaron Rodgers Dealing With Frustrating Stat From Steelers WRs appeared first on HEAVY.
Share markets choppy in Asia as earnings loom, oil slips
By Wayne Cole SYDNEY, Oct 12 (Reuters) - Stock markets got off to an erratic start on Monday as earnings season looked set to test high tech valuations, while oil
Tales of Eternia Remastered Review
Tales of Eternia Remastered gives an overlooked entry in the franchise a new lease on life with a remarkable and thoughtful remaster.
Debt service and the Pentagon. Private equity and the politics of the US housing market. The return of black lung disease & the Franco-Prussian War in color.
Thank you for opening your Chartbook email. RALPH BALSON. 1890—1964. Oil and enamel, signed. Source: Gavekal This going to hurt - the two 7s in the US: diesel and mortgage rates Source: Gavekal In the US housing market, costs are soaring and the role of corporate, private equity-backed buyers is high on the mid-term election agenda. HEY READERS, THANK YOU for opening the Chartbook email. I hope it brightens your day. I enjoy putting out the newsletter, but tbh, what keeps this flow going is the generosity of those readers who clicked the subscription button. If you are persuaded to click, please consider the annual subscription of $60. It is both better value for you and a much better deal for me, as it involves only one credit card charge. Why feed the payments companies if we don’t have to. Subscribe It is striking how, since 2020, big banks have dropped out of the political spotlight in the US. For contributing subscribers only. Subscribe Rates of the lung disease pneumoconiosis among working US coal miners have risen to levels not seen in nearly 40 years Source: Bloomberg Chinese Clean Technology Exports For contributing subscribers only. Subscribe Ralph Balson (1939) Portrait of Grace Crowley Cole, G. O. & Haseman, S. M., (2023) “‘The Substance of Paint’: Class and Materiality in the Work of Ralph Balson”, Open Library of Humanities 9(2). Ralph Balson (1890–1964) was an English plumber and house painter who emigrated to Australia in 1913 and subsequently became a key member of Sydney’s artistic avant-garde. He is credited with having the first solo exhibition of purely abstract painting in Australia in 1941. Despite his role in developing Australian non-objective painting, Balson remained principally a house painter, working on his art practice at weekends. In 1955 he retired on a state pension and became a full-time artist. Balson’s artistic education and methods were critically shaped by his working-class background. He did not travel abroad until 1960 and was an avid auto-didact. His materials, palette, techniques and compositional strategies were likewise informed by his trade. Balson’s profession as a painter-decorator made him conspicuous within the predominantly middle-class Sydney art scene, though his painting partner Grace Crowley considered it an advantage in their pursuit of constructive painting. This paper explores the impact of Balson’s trade on his trajectory towards pure abstraction. While his art was at odds with the predominantly figurative mode of class-conscious art in Australian Modernism, we argue that it is embedded in the experience of class through its creative adaptation of labour into aesthetics. Source: OLH Svetlana Alexievich, The Art of Oral History No. 1 Paris Review Issue 257, Fall 2026 Interviewed by Elena Kostyuchenko INTERVIEWER How were you able to go to Chernobyl? Did you need special papers? ALEXIEVICH It was a time of chaos. They let me right into the zone. … More than anything, there was confusion. Adamovich [Ales Adamovich, the Soviet Belarusian writer], I remember, persuaded Gorbachev to send in the scientists, who showed up without even bringing their shaving kits. They were told that there had been an explosion at a nuclear power plant, but for some reason they thought that they’d be there for only a day or two. The first time I went was several months later, and people kept telling me about things they didn’t understand—how the fishermen couldn’t find worms, because they’d burrowed deep into the earth, how the milk wouldn’t curdle at the cheese factories. The honeybees wouldn’t come out of their hives. The evacuations started, I think, in the first month. The old women hid, they wouldn’t leave. I mentioned radiation to one of them and she said, “I’ve seen that radiation, all right! It’s yellow with green in it. I saw puddles of it in my garden, and I told the other women, and we ran and looked, and she had it in her garden, and the other one, too!” God, it was wild, the way the mind made sense of it. There was a story going around about Gorbachev telling the scientists to show him the radiation. “We can’t, it’s invisible.” “But I want to see it!” I also ran into the soldiers who’d been flown in on helicopters from Afghanistan. I asked them, “What are you doing here with your machine guns?” They said, “We’re collecting the radiation, that’s what.” So you had some of them running around with their guns, others out in the village washing off firewood or burying soil in the soil. These were the kinds of things that exploded our worldview. They made you realize that culture was just a chest filled with old manuscripts. There were no books in there that could help me. Our philosophers turned out to be useless when faced with the unprecedented. Derrida, Baudrillard—philosophy fell silent. What was happening? How would we live with it? That’s when I decided it simply needed to be witnessed. Which is what I did. INTERVIEWER I wanted to ask about how you talk to people. … ALEXIEVICH Yes, we sit and we talk—about what interests me and about life in general. About love, about everything in the world. That way, what comes out is three-dimensional. If you cut straight to the part you need, which is what journalists do, it won’t be interesting, and it won’t be the truth, either. Not the whole truth. INTERVIEWER Do people always open up when you ask questions, or can questions get in the way? ALEXIEVICH You have to ask questions, of course. Your job is to scour away the banality and return people to their true selves, to make them face what they rarely tap into. With every new person, you have to find a new way to do it. When you ask an interesting question or you share what happened to you, you help people really think about what they’re saying and not just repeat whatever they’ve picked up from the newspaper. But not everybody is capable of it, not everyone wants to put themselves through that. Either the chemistry starts to kick in or it doesn’t. A person might be wonderful, but you can tell that the conversation just isn’t going to happen. You can try to push it, but it will be a product of your own intellect, rather than of that mysterious connection. Life doesn’t come from the mind. Some people I can call two years after our last conversation, and they’ll say, “Oh, Svetochka! I think of you all the time,” and we’ll start talking again. With others, that won’t happen. That doesn’t mean they’re not extraordinary people, just that you can’t connect with them. They might have some insight, but you don’t have the right antenna to pick up their signal. Source: The Paris Review Colorized Franco-Prussian war … the ruins of Strasbourg with a French photographer and his mobile dark room. Ralph Balson (1961) Matter Painting If you’ve scrolled this far, you know you want to click: Subscribe
Stanford's Caroline Birkel Hasn't Allowed a Goal This Season
With Birkel back in net, the Cardinal have looked more like themselves
Aspirus highlights overlooked key to bone health for women
Aspirus Health is bringing attention to a common bone health mistake it wants women to avoid making.
Parkinson's speakers series to feature neurologists
CLINTON — Community Wellness Partners will welcome neurologists Dr. Evan Nelson and Dr. Krystal Ramsamooj of University of Rochester Medicine, who will explore the often-overlooked non-motor symptoms associated with Parkinson’s
Harms of Public Health Measures Overlooked in COVID-19 Policy Reviews
Investigators link oversight with eroding trust in health authorities and call on future pandemic inquiries to weigh trade-offs.
Winnipeg Jets’ Blowout Loss Comes With Bizarre Statistical Twist
The Winnipeg Jets suffered a blowout loss on Friday night to the Anaheim Ducks in a game that, on paper, looked like it would be closer.When a team loses 5-1, the assumption is that they allowed a lot of shots on goal and didn’t generate many themselves. In Friday night’s loss to Anaheim, the Jets […] The post Winnipeg Jets’ Blowout Loss Comes With Bizarre Statistical Twist appeared first on HEAVY.
Arsenal star’s father insists his son is world-class
Mikel Merino continues to prove his value at Arsenal, with the midfielder delivering important performances for club and country despite often being overlooked when discussions turn to the best player...
What is Going on With Brewers' Jacob Misiorowski?
Milwaukee Brewers ace right-hander Jacob Misiorowski has looked like a superstar all season long. But in the playoffs, he has been average.
Difficult Afternoon for Chivas, Who Fell to Querétaro
Despite the fact that Chivas took the initiative, created chances and constantly looked for the opponent's goal, they could not overcome the deficit and fell 2-0 to Querétaro this afternoon at Estadi...
Tyson Bagent Injury Update: Bears QB Receives Unfortunate Update
Tyson Bagent has looked like one of the league's better backups since entering the league as an undrafted free agent, but the quarterback may not be able to fill in for the injured Caleb Williams. Originally joining the Bears following the 2023 NFL Draft, the Shepherd product has made a few starts over the years …
'Why not?' - Germany sporting director Völler gives Füllkrug hope
Germany sporting director Rudi Völler has boosted Werder Bremen striker Niclas Füllkrug's hopes of a return to the national team. The 33-year-old, overlooked in Jürgen Klopp's first squads for the recent Nations League games, scored for a fourth Bundesliga game in a row in Friday's 2-2 draw at Borussia Dortmund.
Key stats that contributed to Penn State’s loss to USC
Penn State couldn’t get a win against USC on Saturday night, but the offense finally looked like a professional unit again.
Healthwatch: Why oral health is often overlooked
October is National Dental Hygiene Month. Taking care of your teeth is just as important as taking care of the rest of your body.
What You Can Learn From WEBTOON Entertainment's 39% Drop
WEBTOON Entertainment’s Q1 2026 report looked mixed on the surface, with revenue slightly weaker than expected but earnings per share comfortably ahead of forecasts. Investors who held WEBTOON Entertainment over the past year are down 39.3%, including dividends. If you had invested just after analysts set out sharply different fair values and earnings paths in late 2025, how should you now interpret that decline in light of WEBTOON’s push into Disney-backed content, AI tools, and a growing IP...
Penguins Goalie Pulls Off Rare NHL Feat in Season Opener
The Pittsburgh Penguins looked unstoppable in Wednesday night’s 7-0 win. Goalie Arturs Silovs was a big part of that. The last time the two teams met, the Philadelphia Flyers sent the Penguins packing and back home for the summer. Pittsburgh clearly didn’t forget, putting on an incredible display of offense from its scorers and goaltending […] The post Penguins Goalie Pulls Off Rare NHL Feat in Season Opener appeared first on HEAVY.
China home car sales downturn continues, exports retain momentum
BEIJING, Oct 12 (Reuters) - China's domestic car sales extended their decline for a 12th successive month, while exports remained a key growth driver as automakers looked overseas to cushion
Gasperini: “The match vs Verona the most exciting of all.”
Gian Piero Gasperini answered a barrage of questions from La Gazzetta dello Sport. The Roma coach looked back on some of his time with the Giallorossi, starting with the most emotional match: “I’d...
Dolph Lundgren recalls sending Sylvester Stallone to hospital during ‘Rocky IV’ filming after hitting him too hard
In his new memoir, Dolph Lundgren looked back on the injury that hospitalized his ‘Rocky IV’ costar Sylvester Stallone: ‘A streetcar named Drago’ hit him.
Alessandro
Composure, confidence and vision. At just 20 years old, Alessandro Bastoni already looked rock-solid. It was the start of the 2019/20 season and Inter were facing back-to-back away fixtures, with a tr...
Politics, Religion Experts Argue in Favor of Creativity Amid AI Employment Anxieties
Panelists looked to Catholic social teachings on how to find dignity and purpose in work amid the rise of AI in the workplace
Deals: here are the best tablet and smartwatch deals from Amazon's Prime Big Deal Days
We already looked at phones in a separate post. Here we're also including a number of Amazon devices that don't quite fall in the "tablet" category.
Duke Dominates First Half against #8 Tennessee
Duke at half is currently up 54-30 against #8 Tennessee. They dominated the first half from start to finish, including a 15-0 run after it was tied 2-2. The Blue Devils have looked like the much better team. Tennessee attempted a run late in the half but couldn’t get closer than 20 points. If the […] The post Duke Dominates First Half against #8 Tennessee appeared first on HEAVY.
Everywhere Millionaires: The Overlooked Main Street Businesses Behind America’s Economy
Explore “Everywhere Millionaires” and how Main Street business owners in construction, logistics, and food service may build enterprise value over time.
Brooklyn Store Says Kelly Clarkson Wanted To Buy Something That Wasn't For Sale
Kelly Clarkson blasted the retail shop on X, saying the employees looked at her like she couldn’t afford the pieces.
Madonna Sparks Health Concerns After VMAs as Sources Claim She Was ‘Wobbling Back and Forth’—‘Everything Seemed to Unravel’
The singer also reportedly "looked flushed and fuzzy."
The Cornell Case Raises An Overlooked Health Question
Sexual assault can affect physical and mental health for months or years. Here’s what survivors may face—and what good healthcare should provide.
Pleasant Grove’s unique business model combining pizza and rural atmosphere stands tall
Emily Knudsen looked out from her barnyard door into the emerald-green clover lawn. Two alpacas laze around near a wooden stage for outdoor performances, and smoke billows from inside the
Overlooked: Black Women’s Heart Health
Rhonda Poe has always held a job. From Church’s Chicken to more than a decade in the jewelry industry to working as a script supervisor in the film industry, her daughter, Lily Poe, describes her as a hardworking and determined woman. That all changed on Super Bowl Sunday, February 9, 2025, in New Orleans. Rhonda...
Duke Disrespected as Undefeated College Football Team; Upset Predicted
Despite a dominant ground game and an unblemished record, the Blue Devils remain overlooked by critics. Now, an impending clash with Georgia Tech threatens their bid for national respect.
“Traitors ”star reveals scalp partially fell off during “DWTS” live show: ‘I looked like a lizard’
“I look down, and I see a little chunk of skin.”
Gina Hinojosa Has Managed to Make Greg Abbott’s Reelection Bid a Real Race
The Austin Democrat’s campaign to unseat the three-term governor looked like a long shot. But she’s been able to capitalize on Texans’ anger on two major issues: data centers and schools.
Kelly Clarkson claims she had a ‘Pretty Woman’ shopping moment, store responds
Kelly Clarkson claimed a sales associate looked at her ‘as if I couldn’t afford’ anything in the store, making her feel like Julia Roberts in ‘Pretty Woman.’ The next day, the store responded.
Neil 'a real leader' says Ferguson
Former Rangers captain and interim manager has spoken about the "true leader" he believes Dan Neil can be for the Ibrox club. Ferguson spoke to the former Sunderland captain and his father as part of his role as Rangers ambassador when the Glasgow club were looked to bring in the 24-year-old. Neil has been a recent standout for Rangers, particularly in the back-to-back wins over Celtic.
‘Standing on Business,’ ‘Squabble on Day 1’ — NBA World Reacts As LeBron James Snaps Back at Knicks Heckler in 76ers Debut
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'The players looked at me with such disgust'
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Jays Edge Reds 6-5
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Four Tiny Snail Species New to Science Found on Limestone Karsts of Laos
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Packers Reveal Brutal Edgerrin Cooper Update After Big Win
The Green Bay Packers entered Week 4 NFL action badly needing a win on the road against the Tampa Bay Buccaneers. When all was said and done, they were able to get that win by a final score of 17-14. Once again, nothing looked pretty for the Packers. They struggled at times on both sides […] The post Packers Reveal Brutal Edgerrin Cooper Update After Big Win appeared first on Gridiron Heroics.
A week of politics, preaching and personalities
Students at UW-Whitewater know what they’ll see as they walk across campus. A couple oversized squirrels in the grass, students shuffling from classes and, if you’re lucky, a few spaced out tables handing out fun prizes. But for students, the week of Sept. 28 looked a little different. As the 2026 Wisconsin governor’s race continues...
Razorback Report Card: Texas A&M
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Not the GPUs. This Overlooked Piece of Nvidia's Business Could Matter Most for the Stock's Next Leg Up.
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AI Is Only as Smart as the Data Behind It
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The Math Singularity Is Here, and Science May Be Next
OpenAI has released an extraordinary body of mathematical work produced by an unreleased frontier model: 722 manuscripts spanning 372 research families across fields including number theory, complexity theory, and mathematical physics. Each result required, on average, the equivalent of roughly three hours of ChatGPT Pro reasoning. A New Era of Discovery We may be witnessing the beginnings of a “math singularity”: a point at which machine-generated discovery accelerates beyond humanity’s ability to independently reproduce, verify, or fully absorb it. If frontier models can generate hundreds of meaningful results in the time it takes a human researcher to investigate one, the constraint will no longer be producing new mathematics. It will be our capacity to validate, interpret, and integrate it. This does not make mathematicians obsolete. It changes their role. They may increasingly serve as guides, critics, and meaning-makers. Increasingly, they will decide which questions matter, determining which results can be trusted, and explaining why they are important. Mathematical insight may become abundant, while human judgment becomes more valuable than ever. Mathematics May Be Only the Beginning Every scientific discipline could eventually experience a similar acceleration. AI systems could generate and test hypotheses, connect findings across specialized fields, and explore possibilities at a scale no human research community could match. In medicine, imagine models identifying overlooked disease mechanisms, designing drugs and clinical trials, personalizing treatments, or discovering cures in months rather than decades. In materials science, AI could help create better batteries and cleaner industrial processes. In climate science, it could accelerate advances in energy, forecasting, and carbon removal. In biology, it could uncover relationships hidden across enormous genomic and molecular datasets. The result would not simply be faster research. It could expand the frontier of what is scientifically possible. The New Bottleneck Scientific discovery, however, is not the same as scientific progress. A medical breakthrough must still survive laboratory testing, clinical trials, regulatory scrutiny, manufacturing constraints, and real-world deployment. As machine-generated ideas multiply, the bottleneck may shift from producing breakthroughs to validating them safely and translating them into practice. We may soon have more hypotheses than laboratories can test, more drugs than clinical trials can evaluate, and more mathematical results than experts can review. That imbalance will require better systems for automated verification, reproducible research, prioritization, peer review, and collaboration between AI and domain experts. The importance of OpenAI’s work is not merely the number of manuscripts produced. It offers a glimpse of a world in which intelligence can explore thousands of intellectual paths in parallel. If ideas cease to be scarce, humanity’s defining challenge will be deciding which are true, which matter, and how to turn them into progress. The math singularity is not the end of human inquiry. It is the beginning of a new kind—one in which machines expand the frontier of knowledge and humans decide where it should lead. Subscribe Share Leave a comment
SMU Is Winning Ugly at the Right Time
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Two Overlooked Stars Keeping Packers Alive
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Scientists Examine 5,000-Year-Old Skulls and Uncover a Disturbing Secret of Egypt’s First Kings
Serving Egypt’s earliest kings may have carried a deadly cost, and overlooked skull injuries are giving a century-old suspicion new weight. Some of Egypt’s earliest royal tombs at Abydos are surrounded by hundreds of smaller graves. When Flinders Petrie excavated the site in the 1920s, he suspected that so many people could not have died
Sundar Pichai: Google’s Frontier Imperative, Compute Scarcity Dilemmas, Future AI Products and Businesses
Alphabet CEO Sundar Pichai has little patience for doubts about Google’s willingness or capacity to compete at the frontier of AI. His company’s latest Gemini 4 Argon model — long-promised and recently delivered — beats OpenAI and Anthropic’s latest public models on coding, math, science, and knowledge-work benchmarks and has placed Google’s AI back among the world’s best. Amid chatter that Google was fine with good-enough lightweight ‘Flash’ models, Pichai pushed back hard against any suggestion that company is limiting its research ambitions. “We won’t do it any other way,” he told me in a Big Technology Podcast interview recorded this week at Google’s Mountain View headquarters. Pursuing cutting-edge research is costly for Google, requiring compute and chips that otherwise could be sold at a high markup by its cloud business. But Pichai said allocating resources to frontier AI development is “ground zero” for Google. “Our cloud business is at any given moment in time forgoing short-term revenues because we are making compute trade-offs to support frontier AI development,” Pichai told me. In our conversation, we discussed Argon (which Pichai says processed three times as many tokens as Gemini 3 in the 72 hours after launch), AI’s role in developing better models, the AI interface of the future, competition with OpenAI, Google’s partnerships with Anthropic and Apple, data centers in space, and the nature of his optimism. You can read the full conversation, lightly edited for length and clarity, below, or listen to it on Apple Podcasts, Spotify, YouTube, or your podcast app of choice. Alex Kantrowitz: Google is back at the frontier with Gemini 4 Argon, which beats OpenAI’s and Anthropic’s public models on benchmarks spanning coding, math, science, and knowledge work. The conventional wisdom was that Google had given up on the frontier to focus on fast, good-enough models for its products. That was wrong? Sundar Pichai: Very wrong. Look, we are so committed to being at the frontier. It’s in our DNA. We won’t do it any other way. We’ve been thinking about the AI frontier for well over a decade now. The frontier is very dynamic. It’s very competitive. It’s very exciting. I couldn’t be more pleased with how Argon has come together. We took our time with it. We made sure we tested it safely and deployed it carefully. We took a bit longer than our other models, given its capabilities. Across the board, be it for agentic work, knowledge work, coding, creative tasks, Argon is one of the really good frontier models. The first 72 hours since we launched, it’s almost up to 25 trillion tokens used, which is about three times what Gemini 3.0 had in the first 72 hours. And we are capacity constrained as we are serving it. Excited, but there are always areas….. You know, the frontier is very dynamic, and you have to keep evolving the models. There are areas which we can see we need to improve as well. We’ll be at work on all of that as well. Which areas? On any given model, Argon would be across the board better at everything if you just look even two months back. But the space is so evolving. Even on coding, for example, there are pockets where we know we need to do better, and there’s clear feedback. We’ll make it better. The argument for standard models is that they’re already good enough to build great products, with the frontier valuable only for certain tasks. Meta built Muse with good models rather than the best, and Google could put standard models into Maps, Gmail, and Search. Why isn’t that sufficient? It’s definitely not how I have thought about it at all. We are deeply committed to driving the state of the art and actually pushing where this technology can go, all the way from transformers. That’s a journey we’ve been on. You will see us continue to do that. When you’re at the frontier, you get an earlier look into the emerging capabilities, earlier than others, which helps you better prepare for the future. We are fortunate to have a wide set of opportunities across consumer and enterprise. Some of our cloud customers, for sure, want the model at the frontier. The frontier models will be better at developing the next set of models in an era of recursive self-improvement. I would argue it matters there. Internally, we have definitely seen a steep point of inflection by deploying Argon to our developers. It definitely tackles problems which our previous models could not do. Being at the frontier puts you at the innovation frontier and helps you drive that as well. There is room for models of all sizes and capabilities. That’s why we did Flash, Flash-Lite, etc. I agree with you that you can develop very good product experiences with not necessarily the most frontier model, because they tend to be slower and more expensive too. But we care about the Pareto frontier, and we’re committed to doing all of that. You said developing frontier models gives you a look at what’s coming. What do you see on the horizon? What makes this moment so exciting is you build something which you think is a culmination of months of work, and you put it out. You already see clear headroom ahead. We’ve all been working on these agentic, long-horizon capabilities, but clearly the frontier is going to have multiple of these agents working together to do things. That’s an example of an exciting paradigm underway. It’s also clear to me that users, both in consumer and enterprise, will have access to some multi-agent framework for them, working all the time doing things. It feels like a moment of infinite possibilities. Sergey Brin said one of Argon’s core innovations was relying more on the model to help develop the model. Yet incidents involving OpenAI’s bots breaking containment and Google’s bots accessing a site they shouldn’t have suggest these systems still aren’t perfectly aligned. Isn’t there reasonable cause for concern about accelerating toward recursive self-improvement? There are three parts to your question. Let’s first talk about RSI itself. You’re right, Sergey mentioned RSI being a critical contributor as we are developing Argon. But to be very clear, today, in a continuum, we are pretty far from the end state of RSI or something like that. The right way to describe it is you have RSI loops along with AI researchers in various aspects of model development. You almost have agents helping AI researchers in some automated way work together to build these models. It’s good to at least understand where we are today, and it’s super exciting. I expect that continuum to keep making progress as we go into next year. The second question is around safety. Security comes from defense in depth. You’re talking about alignment, obviously. We all are doing a lot of work to make sure the models are as aligned as possible. But it’s an active area of research, and there are clear gaps. That’s not the only thing we rely on. You have the work you do on alignment, but beyond that, we put a lot of effort into real-time monitoring as these models are working. Making sure you have good telemetry into what’s happening so that you can intervene in real time if you see unexpected behaviors. How you do that, the architecture with which you do that, how you make sure it’s all sandboxed and isolated in a way that it can continue doing its job during real-time monitoring — these are all areas of investment. Obviously, when we deploy these models, giving customers, enterprises, control, both with real-time monitoring, but their ability to decide where they deploy, what type of data which models ever have access to, etc. All that work is very, very important, and we are doing a lot of that. As an industry, we need to constantly up our game and take the time to do all this stuff, including dedicating the compute required to make sure you can safely deploy these models. The third part is: Is it all enough? This is why there are a lot of conversations in the industry, and I think it’s reasonable to be worried. The right way to approach something you worry about is early on thinking about what more we can do. As an industry, you’re definitely seeing increased levels of work on alignment, testing for safety, etc., as we deploy these models. The next step would be developing better standards so there are cross-industry standards of how we do these things, including the ability to evaluate using independent evaluators. If you look at areas like financial controls, we have accounting standards, we have independent auditors. Those are all the next natural steps for us as an industry to work toward, and regulation will end up playing a role as we go through all of that as well. Google pursues both language models and world models, while some other AI companies like OpenAI have focused more heavily on LLMs as the path to AGI. Why is world-model research important to you? As humans, you obviously perceive the world around you, and you’re taking all those inputs. Making sure these models are able to understand the laws of physics, simulate the world in high fidelity. All that, I think, are key enabling blocks for intelligence. We are working across all possible applications of this. Take an area like robotics. It’s not an accident: If you look at embodied reasoning benchmarks, Argon is state of the art. That all comes from our experience building world models. Inherently, I would expect there will be architectures which will converge all of this in the future. But for us, we view this as, today, this jagged frontier that is intelligence. We want to be at the frontier of all the possible approaches, and that will help us both drive better research, better insights, and develop a much better AGI model, is how we think about it. Some people argue Google should focus on selling its computing resources rather than using them for AI research. Cloud wants to sell compute at a high markup, while researchers need a very big computer to build the best models. How do you balance those demands? Ground zero for us is making sure we are investing in the compute that’s needed to be at the AI frontier. In 2015, I set the company to be AI-first. AI is that key horizontal ingredient across everything we do, all the way from Search to Cloud to Waymo. That is ground zero for us, making sure both for research and developing the models that we have enough compute needed. Beyond that, we have these independent businesses which each have their own long-range plans. They’re using those long-range plans to project forward, and we plan for compute for all of them. The cloud team, they have a business and they have a projection and they have demand signals. They have committed contracts. With that help, we can plan on a long-term compute trajectory for them. We’re fortunate to have this wide set of opportunities. There’s no company in the world which isn’t making trade-offs at any given moment in time. But the first principles we operate on is making sure we have enough compute to invest in the frontier, and that’s non-negotiable, and everything else works on top. Remember, we are building our own compute, our own data centers. There are long lead times. The compute we have today is a function of decisions I made in 2024. Even if you think back to a year from today, last year the agentic coding takeoff hadn’t happened. Today, obviously, when you sit and look at anything, everyone is short—not just us, other companies—and everyone wishes you had two times what you had planned for. That comes with the territory. At any given moment in time, we are planning for what we would need two to three years out in the future. You’re going to find some decisions you make may look suboptimal two years out, depending on where the state of the art is. I don’t spend too much time thinking about it. The way I think about compute allocation is making sure Google DeepMind, both for research and frontier model development, is cutting edge in terms of compute access. After that, we plan for all our businesses. It’s great we can provide our compute to other people too, like we have done. It allows us to scale that up, get real tests for it in the widest application set possible, test it in the real world, and make sure we are at the cutting edge of technology at every layer of our AI stack as well. Ben Horowitz relayed on a podcast that Andy Jassy had said compute was sold out until 2028. Are you seeing the same thing? If today a customer is coming out and asking us for compute in ’27, that is incredibly difficult to do. Even last year we went out and leased some short-term compute to accommodate some customers and help them out. But yes, we are all dealing with similar timelines. Every major technology shift seems to involve overbuilding, from railroads to fiber. Do you think that’s happening here? It depends on the time frames you’re looking at. This level of build, if I take a long enough time frame, it makes complete sense to me. We are at early stages of the most consequential technology ever, and this is not like fiber. It’s not dark. We are using it. We are capacity constrained on a daily basis. The applications, the underlying technology is improving rapidly. But running a company, the way I work through the moment is you look at your demand signals. You look at your committed revenue opportunities that you’re getting in the form of contracts. You balance that with the underlying technical capability, or internally you balance how we are using it internally, the model trajectories. Based on all that, you take a disciplined approach—a confident, aggressive, but disciplined approach—to plan out compute. But when you talk about the broader economy as a whole, you’re having people operate with various levels of risk. I focus on what I can control as a company and plan through it. If your question is, can there be an overbuild? Yes, because you can have some constrained components. Remember, what matters is a set of everything you need to build out that compute. Memory, electricity, electricians…. Land. Like 2,000 components or more. You could get constrained at some point. There could be things which cause bottlenecks, and then you could have overbuilds. There could be external shocks to the economy. There are macro risks. All that is possible at any given time. But am I confident that the compute we are planning for, we will have uses for it given enough time? Absolutely, yes. I was in the room when you said AI would be as profound as fire and electricity. If you believe that, shouldn’t you give researchers the biggest possible computer, even at the expense of today’s cloud profits? We’re all doing some form of that. Our cloud business is at any given moment in time forgoing short-term revenues because we are making compute trade-offs to support frontier AI development. What you’re seeing is true already. But you want to be thoughtful. Even our AI researchers have some constraints, which are also good. That’s what inspires creativity. That’s what helps you come up with a more efficient algorithmic breakthrough, maybe to use less memory. What we are committed to is to invest what’s needed to stay at the frontier. OpenAI President Greg Brockman told me a few months ago that the ideal AI product might have no interface at all—just as natural as conversation. What do you think the interface looks like in the age of AI? Computing historically has been humans adapting to computing. With AI, it’ll be the other way around. The technology will adapt seamlessly to how humans live and go about their day-to-day life. You want to be able to speak to that AI when you want to. It has context. It can be persistently running somewhere, give you continuity. You’re not dealing with a lot of complexity. It’s natural. All that makes sense to me. That doesn’t mean it won’t have any interface, however. Nowadays, even on my phone, Gemini voice models are so good. I can just press the microphone button. I can just ramble. That’s why we call it Rambler. I can ramble. It intelligently corrects with my personal context. Even my friends’ names, weird names, it gets it right, even if it first guesses it wrong. It’s amazing. I’m not going in, backspacing, editing once I finish saying it. It’s remarkable how good it’s gotten. But there are going to be moments you will need an interface. You may want to entertain yourself. You may want to watch a video. You may ask your AI to create something, and you want to watch it, consume it. The way I think about it is, you want it to be as seamless and as natural as possible, and that you are not doing the hard work adapting to whatever the interface is. The technology is adapting to how you’re working at any given moment in time. When I asked Sam Altman about competition from Google, he argued that OpenAI was building AI-native products and implied Google was bolting AI onto existing ones. Do you accept that framing, and can a “bolt-on” compete with an AI-native product? First of all, it’s a very dynamic moment. We are all pushing each other. OpenAI has pushed us as a company too. This is not just we are doing something to them. Far from it. Yes, Google went into its own version of a code red too. In the AI moment, all of us have to respond with varying levels of urgency at any given moment in time. We are constantly building new products as well. Gemini was built from the ground up as a product—the Gemini app I’m talking about. Or tomorrow, as all of us are adapting to agents, are you bolting agents onto ChatGPT, or are they building it natively? How would you think about that? You can always put these questions back. I don’t think of it that way. I think of it as you want to build world-class product experiences that are AI-native and they are winning. Some of it is adapting products, some of it is rethinking new experiences. They will all be part of how you approach this moment. How do you expect to make money from these AI interfaces? If an agent recommends a product and I buy it, should it take a cut of the sale, even if that’s disclosed? I’m going to put enterprise aside. Consumers are going to increasingly value this technology. Take software developers today. Developers are willing to pay for these coding models because it really helps make them more productive. Nobody would want to code the way they were coding three years ago, or even the same time last year. When you’re delivering value, there’s value to be had. I’ve never seen examples where consumer products really scale to billions of users, where people are using it intensely, and haven’t had monetization to go along with it. If you’re providing value to people, there is inherent value to be had. The nature of it may change. You’re asking a scenario in which agents are doing stuff for you. At the end of the day, you will have commercial needs. The agents need to fulfill those commercial needs. The providers on the other side are going to see value in that. There’s going to be some mechanism by which it gets fleshed out. That’s what an efficient system does. But what matters is that you’re building those world-class consumer experiences. I promised myself one product feature request: Can you make Gemini-powered search in Gmail as good as searching Gmail through ChatGPT? What’s going on here? One of the exciting things we announced recently is the unified Gemini agent for enterprise, and we’re bringing that to consumers. These are persistent agents which run 24/7 in the cloud. We’re spinning up a micro VM effectively for every query, and from the runtime, the harness, the model—it’s all a headless service. It’ll work everywhere, and it has your context with you. You can address this agent whether you’re in Workspace, in Search, in Gemini. Agents are going to drive this unification from a customer experience, which people are looking for. When you have a broad product portfolio and you’re moving forward fast, there are always areas where you’re moving forward faster than some other areas. That’s valid feedback. But we are putting a lot of time and effort into making sure, as we build out our agentic experience, that unification and that capability works well across all these services. People have asked where Google’s equivalent of Muse or Dots is. Do you anticipate creating a new product to compete with them? Our goal with Gemini is to be a personal, proactive, and powerful assistant. That’s what we are working toward. You saw us describe the early versions of it at Google I/O this year with Spark. Effectively, already, if you open the Gemini app as a Pro or an Ultra user, you see Chat and Task, and they start giving you that agentic experience. With Argon now, that capability is dramatically accelerated. What we announced recently in our enterprise event, we are bringing that to consumers as well. Soon in Gemini, you will be able to ask something, and it’s a continuum. You don’t need to think about whether you’re asking a chat or an agentic task. It’ll just automatically do the right thing, and it can work persistently in the background securely and get things done for you. Already, empirically, when I look at what’s coming into Gemini in our app, last year you would have tagged them and most of them would have been chats. But a steadily growing percentage is already agentic tasks in Gemini. Yes, we are going to bring personal agents to our consumers. It’ll work in the Gemini app. It’ll work in Google Search. It’ll work in Gmail. You can address it, call it, etc. We want to make sure we’re getting it right. It’ll be powered by Argon, and we are very excited to bring it to our users. Google has invested and committed tens of billions of dollars to Anthropic. What do you see in Dario Amodei that makes you want such a deep investment and partnership? Very early on, when we looked at the founding team of Anthropic, it was very clear to us this was a world-class team which was involved in some of the earliest GPT models. We were quickly able to assess that they would be at the frontier. We’ve always tried to identify and partner with companies which would be at the cutting edge of technology. We’ve done that with SpaceX. We’ve done that with Anthropic. That’s what we saw, and we had a chance to partner. Is your partnership with Apple to license Gemini for Siri expanding, contracting, or standing still? For both us and Apple, that partnership was about translating the capabilities of AI into better experiences for users. I thought Apple has done a phenomenal job of incorporating—they customize these models and build it into Siri—and it’s been great to see the reception. We are committed to doing more. You’re going to do more with them? There’s nothing specific to comment, but it’s a partnership. It’s working well. What have you learned so far about the feasibility of data centers in space? It’s a very exciting project. Projects like this remind me—I still recall that moment in the desert for the DARPA Grand Challenge, watching the Stanley car compete in it, which ended up being the basis for Waymo. With all these technologies, you’re at a moment in time where it looks a bit like sci-fi, but 10 to 20 years down the line, it’s actually working in a meaningful way. I feel the same in space. We’ve always believed in betting big on these technologies. Quantum has been a great example of it. We’re probably 10 years into the journey. Waymo, we are almost 20 years into the journey. Space, we are two to three years into the journey. It’s clear to me that it’s an approach which will make a lot of sense in the future. Being in sub-synchronous orbits with 24/7 access to the most abundant form of energy we have access to will make a lot of sense for this exponential increase in compute that we are going to need. Having said that, this is a challenging project. The team has disciplined milestones. It was a super exciting milestone to send the TPUs up to space. Sometime, as we are speaking, we are expecting a “hello world” moment from them. I look forward to seeing that happen, and we’ll continue investing here too. You previously said 25% of the code written within Google was written by AI. What’s the number today? That number in our world today is meaningless in the sense that every part of what we now touch is influenced by AI deeply. What we are tracking with Argon, for example, it’s been a point of inflection. People are using Argon to really go tackle complex projects, including projects which affect millions of lines of code. In the four weeks since we have launched Argon, we have seen a 30% increase in CLs, and more importantly, almost a similar increase—a one-third decrease in rollbacks. People are writing code more productively and better code with it. We are tracking it with newer metrics now. How are you dealing with opposition to data centers? If you can’t build in the U.S. the way you want to, where else do you go? We’re very committed to building our data centers very responsibly. When I look at our largest data centers in some of the communities where we have been the longest, I visit them, I talk to people. There are people who come and tell us their kids have gone to college because of our investments in these communities, and we’ve grown in those communities. To me, this is about doing it right. Engaging with the communities early, doing it transparently. We are committed to making sure we are bringing incremental power, and we cover 100% of the cost of our power needs for these projects. It’s understanding the impact on neighborhoods and making sure you’re working thoroughly to address them. Done rightly, you can continue making progress. But we are constantly taking feedback into account. I do worry not everyone operates the same way. People have been surprised by data centers showing up in their backyard. Those are all important. As an industry, we should continue to do better. But part of the reason, in a 20-year time frame, we are thinking about things like data centers in space is making sure we are able to put these data centers where maybe the trade-offs will be different. What unproven area of AI is Google working hardest to crack? Is it continual learning—getting models to keep updating after release—or something else? There are multiple parallel paths. You saw with Argon we have a million output tokens. With our Gemini models early on, we had a one-million context window on the input side. These are all examples of breakthroughs we are constantly working on. How do you think about synthetic data? How do you think about continual learning? How do you think about more efficient architectures? We do dedicate a meaningful percentage of our compute to these research bets too. It always goes hand in hand, including our world models. Those are all bets we are placing. Sometimes, as part of these bets, there are ideas that emerge which just make their way into the mainline models. Maybe we don’t fully talk about it, but we have multiple steps in these areas. Working in technology requires optimism that building something will improve the world, but those bets can leave real consequences when they fail. I recently returned to a town in El Salvador where enthusiasm for Bitcoin had given way to unfinished construction and something resembling a ghost town. How do you maintain the optimism you spoke about in your Stanford commencement address while accounting for those risks? I genuinely have a deep conviction that improving technology and improving access to technology makes people’s lives better. It’s been my personal experience in my life, out of which comes that deep conviction, optimism. But with that, I’ve always felt humanity’s journey is always about working hard to harness that technology to make it work well for society. The optimism is not an optimism that you just build whatever you want, whenever. You work hard to make sure you’re building technology in the service of humanity, to make the human condition better. That’s got to be the defining goal as we are approaching it. With that framework, I’m very, very optimistic. We are in very early stages of the kind of progress that we are going to see on many areas. We’re all talking about areas like healthcare. A lot of the progress is ahead. The ability to make things in a fundamentally cheaper way on many things where things have been getting expensive for a long, long time, discovering new materials, etc., which really bend the curve—it’s tough to step today and understand the impact of all that, but they’re going to be very profound. I’m very optimistic, but we have to be rightfully concerned about all the ways this technology can go wrong. Sundar, I know you don’t do many of these. Thank you. Thanks, Alex. Appreciate it.
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