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Hispanic business owners weigh in on Paxton vs Talarico Texas race
A new survey of Texas Hispanic business owners offers a window into the Senate race and the issues driving them as early voting nears.
*POSTPONED* Behind the Science with Paleontologist and Curator of Dinosauria Dr. Matthew Carrano
***Due to speaker illness, this event has been postponed. A new date will be announced in two weeks. If you registered for this program, please check your email for more information. We apologize for the inconvenience.*** Is the 21st Century the real Age of Dinosaurs? Today, more paleontologists are discovering more dinosaur fossils from more places in the world than ever before. Our understanding of these amazing creatures has leapt forward while their popularity has surged. Museums sit at the junction of these phenomena. The Smithsonian has been a center for dinosaur research for more than a century, and its collections include many iconic and scientifically important specimens. Today, Smithsonian researchers continue to discover new dinosaurs, but they are also uncovering more information about the ones we already know and love. New techniques and approaches allow them to investigate aspects of dinosaur biology, ecology, and evolution in ways that would have been inconceivable to early paleontologists. The result is an ever-improving understanding of dinosaurs as living, breathing, and thriving animals. This month, go behind the science with paleontologist Dr. Matthew Carrano, Curator of Dinosauria at the National Museum of Natural History as he discusses new discoveries at home and abroad, in the field and in the museum. Registration is encouraged. Space is filled on a first come first served basis. ---------------- About the Series: Behind the Science A monthly after-hours series featuring NMNH scientists and researchers Each month, join the National Museum of Natural History for the new series, Behind the Science, where NMNH researchers share insights into their latest discoveries and explore the fascinating questions driving their work—from the origins of life to the future of our planet. Come learn what’s happening behind the scenes and how science shapes our understanding of the natural world. Programs take place in Q?rius, the Coralyn W. Whitney Science Education Center. Topics and speakers announced on a rolling basis, but save the dates now!
Tampa General Hospital’s Melissa Golombek Honored With 2026 Apogee Award by Tampa Bay Business & Wealth
Executive vice president and president of Tampa General Hospital recognized for driving organizational excellence, innovation and community impact. Sept. 29, 2026 – Tampa General Hospital (TGH) announced today that Melissa Golombek, executive vice president and president, Tampa General Hospital, has been honored with the 2026 Apogee Award in the President category for large organizations by […]
UA Little Rock students explore the future through new artificial intelligence degree
From asking a chatbot a question to encountering facial recognition technology or riding in a self-driving car, today’s students are interacting with artificial intelligence in more ways than ever before. Students in the University of Arkansas at Little Rock’s new Bachelor of Science in Artificial Intelligence want to do more than simply use AI. They ... UA Little Rock students explore the future through new artificial intelligence degree
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...
What is driving Ohio voters in 2026?
Ohio was once one of the nation's most closely watched political battlegrounds. A UC political scientist and voting advocate explain how the state has changed and what could shape voters in 2026.
Huntington startup creates landmark-inspired pajamas and gifts
Huntington-based Oyster and Arrow creates hand-illustrated pajamas and gifts inspired by Long Island landmarks. Founded by Emily Greany, the company emphasizes local coastal motifs and has grown to 25 retail partners, with wholesale driving most of its revenue. The brand aims to expand along the East Coast while maintaining personal connections.
Hall Pass: Your Ticket to Understanding School Board Politics, Edition #228
Welcome to Hall Pass, a newsletter written to keep you plugged into the conversations driving school board governance, the politics surrounding it, and education policy. In today’s edition, you’ll find: On the issues: The debate over Iowa’s education savings account program In this section, we curate reporting, analysis, and commentary on the issues school board […]
Biketoberfest brings safety patrols, business boost to Daytona Beach
With thousands of people coming in for the event, deputies will patrol for unsafe driving, and businesses will see a key offseason revenue boost.
Sen. Dornink: Democrats misguided health care policies driving another year of higher health insurance rates as the ACA fails to deliver on its promise
Senate Republicans sounded the alarm on another round of double-digit health insurance rate increases announced by the Department of Commerce, saying state Democrats raised costs and taxes, drained the Health Care Access Fund that was supposed to hold premiums down, and opposed one of the most successful tools to lower premiums through the reinsurance program....
Hall Pass: Your Ticket to Understanding School Board Politics, Edition #225
Welcome to Hall Pass, a newsletter written to keep you plugged into the conversations driving school board governance, the politics surrounding it, and education policy. In today’s edition, you’ll find: On the issues: The debate over AI in the classroom In this section, we curate reporting, analysis, and commentary on the issues school board members deliberate […]
Argonne Uses AI Agents to Get Closer to Self-Driving Microscopes
Scientists often wait months to get their hands on some of the world’s most powerful research instruments, such as state-of-the-art microscopes. At facilities like Argonne National Laboratory’s Advanced Photon Source, these machines allow researchers to use extremely bright X-rays to study materials at microscopic scales. Once they get access to such instruments, every hour counts. […]
How The Golden State Valkyries Built A WNBA Business Powerhouse
The Golden State Valkyries built a WNBA business powerhouse in two seasons, driving record attendance, 12,000+ season ticket holders and a No. 2 playoff seed.
Driving Community Health: Bristol Myers Squibb, Emirates Thalassemia Society and Dubai Science Park Host the 6th 'Help Save a Life' Blood Donation Drive
/PRNewswire/ -- For patients living with chronic blood disorders, access to safe and reliable blood supplies is fundamental to their care journey. Marking the...
Tony Romo will not return to CBS Sports in wake of drunk driving arrest
The former Dallas Cowboys star quarterback and the network mutually agreed to part ways after his July arrest for operating a vehicle under the influence
New Orleans business owner says Palm Street potholes are damaging cars and driving customers away
A business owner in Uptown New Orleans says potholes and flooding on Palm Street are damaging vehicles and affecting local businesses.
Real wages set to fall in major European economies, except Germany
Italy, Spain, France and the UK are projected to see declines in real wages between the first quarters of 2026 and 2027, while Germany is expected to record growth. Euronews Business looks at what is driving the divide.
Rockstar Mods Real Life Vehicles to Look Like GTA 6 Cars Before Driving Them Through Miami
Rockstar’s wild marketing push for GTA 6 is well underway, with the latest seeing modded cars cruising around Miami.
Autos Driver Assist Systems
In this image from video, Maureen August, General Motors Research Development senior manager, discusses a driving simulation with a colleague inside a control room at the automaker's Global Technical Center
Some young men are moving away from Trump & Republicans
Polls show a stunning shift happening with young men, who were a key part of President Trump’s coalition in 2024, ahead of the November midterm elections. CNN’s Steve Contorno speaks with young men about the issues driving the shift in Michigan, where a critical Senate race is playing out.
The business case for pro bono: indirect benefits with social impact
Pro bono work has evolved into a driving force within Argentina’s legal profession, expanding access to justice while strengthening law firms, lawyers and civil society organisations. Through collaboration and institutional commitment, it has become a powerful tool for talent development, reputation building and long-term impact.
The Streamers Tried To Conquer Labor Day…and Whiffed
(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.) What? Another Streaming Ratings Report already? You betcha. Nielsen has moved up the release of their Streaming Ratings data by two weeks, which means I’ve got two extra issues to get out. But I love this change because it will make this report more timely and easier to publish regularly. This week—with the viewership data for the week of 31-Aug—we’ve got some huge, huge topics to discuss. On the film side, two theatrical films (The Mandalorian and Grogu on Disney+ and Scary Movie on Paramount+) contend with two non-Netflix straight-to-streaming films (Mayday on Apple TV and The Runner on Prime Video). The streamers went all in to win Labor Day weekend in America. And we have a bunch of TV shows to analyze, both new shows (Netflix’s The Gentleman, Hulu’s Chad Powers, and an Alix Earle reality show) and weekly shows like Reacher, Ted Lasso, House of the Dragon and Lioness. All that, plus nepotism in Hollywood, some eye-popping fantasy football stats, all the flops, bombs and misses, and a whole lot more. Let’s dive right in! (Reminder: The streaming ratings report focuses on the U.S. market and compiles data from Nielsen’s weekly top ten viewership ranks, Luminate’s Top Ten Data, JustWatch and Reelgood interest data, Samba TV household viewership, company datecdotes, Netflix hours viewed data, Google Trends, and IMDb to determine the most popular content. While most data points are current, Nielsen’s data covers the weeks of August 31st to September 6th, 2026. You can find a link to my terminology here.) Subscribe Film - A Slew of Labor Day Disappointments? A lot of streamers released big new films this week, why? My theory is that the streamers know that four-day weekends can propel streaming films to glory. But if you’ve been reading more over the last two years, you know that big holiday weekends aren’t driving big viewership numbers the way they did post-Covid. And interestingly enough, Netflix didn’t put out a big new film this week. But four other streamers did, trying to take advantage of the holiday with some (not cheap) swings, including… The Mandalorian and Grogu on Disney+ (a Star Wars film that cost $165 million and made $177 million at the US domestic box office) Mayday on Apple TV (rumored $100 million budget, no theatrical release) The Runner on Prime Video (at least a $40 million budget, but likely $50 to $80 million, no theatrical release). Scary Movie on Paramount+ ($30 million budget, made $108 million domestically). (Paramount+ also released a made-for-streaming film based on the Thundermans IP, and I’ll discuss that later.) So…how’d they do? The Mandalorian and Grogu Leads The Way (But That Isn’t Enough) Let’s start with The Mandalorian and Grogu (which I’ll abbreviate to Mando for most of this article). We’re just getting started with this issue, but the rest is for paid subscribers of the Entertainment Strategy Guy, so if you’d like to find out… How Mando, Mayday, The Runner and Scary Movie performed on streaming... How the powerhouse weekly released shows (Reacher, Ted Lasso and Lioness) have accumulate a LOT of viewership… How House of the Dragon finished its run… The latest Netflix show to have a sophomore slump… Whether top creators can drive viewers to their shows… Nepotism in Hollywood and the music business... All the flops, bombs and misses for the week… And more… ...please subscribe! We can only keep doing this great work with your support. Coming Soon! Since Nielsen has accelerated their streaming data release schedule, I’ve got a lot of Streaming Ratings Reports coming your way! Next issue, I’ll be looking at the second season of Peacock’s The Paper, the latest season of Hulu’s The Secret Lives of Mormon Wives, and a very, very expensive Daily Wire fantasy series that’s now on Prime Video. Plus Crew Girl and Dang! on Netflix, a new Tyler Perry film, and one of the biggest bombs of the summer, Supergirl. In the next two issues, I’ll take a look at the return of the NFL to streaming, Toy Story 5 on Disney+, Backrooms on HBO Max, and The Breadwinner on Netflix. On the TV side, we’ve got Netflix’s Monster: The Lizzie Borden Story, Dancing with the Stars on Disney+, Apple TV’s Slow Horses, a Reacher spinoff on Prime Video, and Paramount+’s MobLand, a Woody Harrelson and Matthew McConaughey comedy on Apple TV, a sequel to a Cosby Show spinoff on Netflix, The Great British Baking Show, and the Unabomber film. And while doing all that, I want to take a look at adult animated shows, Ride or Die’s cancellation, and Netflix’s summer films. So much great stuff! Long term, two bits of comic book news. The X-Men cast has been announced, and go ahead and color me bull-ish, if not very, very bull-ish on this bit of comic book IP. In weirder news, HBO Max ordered a “true crime” show by Jimmy Olsen about Gorilla Grodd being falsely convicted of murder. I mean, what? I don’t know, let’s see what happens.
Interactive: Could the No Surprises Act be driving up health insurance costs?
The No Surprises Act ended many unexpected medical bills, but critics say costly arbitration awards may be adding pressure to insurance premiums.
‘BUSINESS EXODUS’: What’s driving businesses out of Seattle?
FOX Business' Gerri Willis reports on Seattle's $22.14 minimum wage hike as restaurant closures rise and new businesses emerge outside the city.
Tom Brady driving record numbers for Fox Sports social channels
Tom Brady is proving to be just as much a needle mover at Fox as he was during his playing days. According to Austin Karp at Sports Business Journal, Fox Sports is on pace for its best season ever in NFL content views across social media platforms, and the seven-time Super Bowl-winning quarterback has driven…
Rising costs, health insurance, abortion: The issues driving Michigan’s Senate election
A look at policy proposals from Democratic nominee Abdul El-Sayed and Republican nominee Mike Rogers.
From Unicorn Frappuccinos to VIP meet-and-greets: How 3 brands are turning buzz into business
As companies fight harder for consumers' attention, marketing is becoming an increasingly important tool for driving growth.
Massachusetts GOP lieutenant governor candidate suspends campaign after arrest in car crash
The Republican candidate for lieutenant governor in Massachusetts has dropped out of the race hours after he was arrested in a suspected drunk driving crash.
'Children of Blood and Bone' cast reveals the family drama at the heart of the fantasy epic
At NYCC, the stars of the upcoming adaptation opened up about the love, betrayal, and grief driving the film's central families.
Lt. Governor candidate Shawn Oliver suspends campaign after being arrested for allegedly drunk driving
Oliver, a 42-year-old Republican, struck five parked cars along Dartmouth Street in New Bedford just before midnight on Saturday.
NWA C-Suite: Brett Amerine
Since 2014, Amerine has been the key leader in driving the growth and success of the Startup Junkie Consulting entrepreneurial support organization. He also launched the 501(c)(3) Startup Junkie Foundation...
Small group health insurance market rates announced
Media Release, Office of Superintendent of Insurance (OSI) Santa Fe, NM – The New Mexico Office of Superintendent of Insurance (OSI) has approved 2027 health insurance premium rates for the small group health insurance market. As of March 2026, over 31,000 New Mexicans were enrolled in a small group plan. The average increase across small group plans is 19.8%. These rates take effect on January 1, 2027. The carriers offering small group coverage in New Mexico in 2027 are: Blue Cross Blue Shield of New Mexico (HealthCare Service Corporation) Presbyterian Health Plan Presbyterian Insurance Company UnitedHealthcare of New Mexico UnitedHealthcare Insurance Company Key Factors Driving the Rate Increases The primary factors that contributed to the 2027 increases are: Claims Experience - Higher than expected 2025 New Mexico claims experience, which is the foundation for the 2027 rate development. Cost Trend - Higher utilization and inflation impacted healthcare costs services, which impacts medical services and pharmaceutical costs nationwide. Risk Pool Changes - Nationwide, businesses with healthier employees are opting for alternative health coverage not under the Affordable Care Act (ACA). This results ina smaller and less healthy small group ACA risk pool. Final approved rates will be posted on the OSI website. To view the carrier rate sheets and rate increase specifics, visit the Office of Superintendent of Insurance website here. The Rate Review Process Conducted by OSI The OSI rate review process focuses on approving rates for health insurance plans that are actuarially sound, not excessive, inadequate, or unfairly discriminatory and ensuring health insurance rates comply with all state and federal laws. For more information, visit the Office of Superintendent of Insurance website at https://osi.state.nm.us/en/. *** About the Office of Superintendent of Insurance The Office of Superintendent of Insurance (OSI) is New Mexico’s regulatory agency responsible for overseeing a wide range of insurance products, including private health and life insurance, auto, home, business, and title insurance. OSI regulates private health plans in the individual, small group, and large group markets, ensuring that premium rates are fair, companies are financially sound, and health care insurance coverage is reliable. While OSI does not have authority over self-funded health plans, where an employer assumes the financial responsibility for paying employee health care claims, Medicaid, Medicare, or TRICARE, OSI plays a vital role in protecting consumers by reviewing premium rates, monitoring insurance company conduct, and licensing producers (formerly known as insurance brokers and agents).
AMC Entertainment Holdings (AMC) Shares Just Moved, So What Is Driving Attention Now?
AMC Entertainment Holdings (AMC) has just refinanced about $3.97b of existing borrowings, rolling them into new first and second lien facilities and notes that run out to 2031 and beyond. The refinancing arrives after a volatile stretch for AMC Entertainment Holdings, with the share price at $2.95 and a 90-day share price return of 54.45%, alongside an 83.23% year-to-date gain that points to building short-term momentum, despite a weaker 3-year total shareholder return of 70.26% and a 5-year...
North Dakota health insurance premiums set to rise in 2027
Insurance commissioner says rising health care costs are driving the increases
Cut screen time in classrooms to avoid long-term health issues, government urged
A group of clinicians warns technology use in English schools is driving a rise in health problems like short-sightedness.
Google Maps on CarPlay rolling out Gemini when navigating
Google Maps in CarPlay now lets you access Gemini when using navigation for a conversational driving experience.
Autosport Business Exchange New York Examines the Forces Driving Racing’s Next Era of Growth in America
Christian Horner headlines ABX in New York as leaders from motorsport, business and brands convene in Manhattan
Test Driving an iPhone Duo? 6 Things to Try at the Apple Store
Apple's first foldable has a lot going for it, but there may be some compromises you aren't expecting. See for yourself if the Duo is for you.
Why Halloween is now bigger than Christmas for some attractions
From scare parks to pumpkin patches, Halloween is driving huge crowds and spending.
AI Driving Game Demo Already Putting Developers Into Debt
Hoping to launch next year, Teach My Little Sister How To Drive is prematurely sending its creators into the red over exhaustive token use
Michigan's small businesses are stagnating, says head of industry group
The head of the Small Business Association of Michigan says regulations, tariffs, and energy costs are driving local shops into the ground.
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.
US grants Aurora exemption for self-driving trucks safety feature
The U.S. Transportation Department said late Wednesday it approved a five-year exemption for Aurora and other self-driving trucking companies from rules that require drivers to place warning devices around a stopped truck.
NYC business leader says Mamdani rhetoric risks driving companies, jobs out of city
Partnership for New York City CEO Steven Fulop says Mayor Zohran Mamdani’s office denied reports of a planned campaign targeting CEOs but warns anti-business rhetoric, taxes and public safety concerns could push employers to leave New York.
Scientists just made a superconductor stronger using “empty space”
Researchers have demonstrated that quantum fluctuations in supposedly empty space can strengthen superconductivity, raising the transition temperature of an ultrathin material by as much as 5.4%. The discovery opens the possibility of using specially engineered vacuum environments to control quantum materials without direct contact or external driving.
Tony Romo, CBS Sports agree to part after ex-QB's DWI arrest
Tony Romo will not return as an NFL game analyst for CBS Sports, the network announced, after he was arrested in July for driving while intoxicated.
How the Legend of Sleepy Hollow is driving business growth in the Hudson Valley
Comparing Off-World Rover Driving Distances
This infographic illustrates the distances driven by various rovers on the surface of Earth’s Moon and Mars. Of the vehicles shown, the NASA Mars rovers
Mundelein resident chosen as finalist in Advocate Health Has Talent competition
Mundelein resident Gerardo Ocampo was driving his wife and child home from the airport when he received a call from his supervisor at Advocate Condell Medical Center.
‘Godly leadership’: Lisa Demuth’s Pentecostal faith is a driving force behind her politics
Lisa Demuth asked God whether she should run for Minnesota House minority leader. On the morning Minnesota House Republicans were electing a new leader after a bitterly disappointing 2022 election, Demuth read the Bible verse 1 Peter 4:10: “God has given each of you a gift from his great variety of spiritual gifts. Use them […]
Retiring from Farming
Start now to ensure your farm passes to the next generation Deborah Jeanne Post [caption id=attachment_11062 align=alignright width=405] Adam C. Howell, outreach director at Cornell’s NY FarmNet: “Retirement from farming is atypical planning,” he says.[/caption] Roughly 70% of family-owned farms will transfer ownership withing the next two decades, according to data from to the USDA census. Only 30% of those will remain in the family. The number of farms in New York is shrinking as the size of farms increases. In other words, there are fewer farms in the state, but they’re much larger. This is why succession planning is so important for family farms. A farm represents not only a way to make a living but a legacy and family tradition. Many families want to preserve the small farm segment of agriculture and the values it represents. Passing the family farm to the next generation can’t be left to chance. And it shouldn’t be left for “the kids to figure out” after the older generation dies. Succession planning in agriculture isn’t like other types of business retirement planning or personal final planning. “Retirement from farming is atypical planning,” said Adam C. Howell, outreach director at Cornell’s NY FarmNet. “Most farmers, their assets and the way they live and survive in retirement is tied up in the equity in the farm. Those conversations must take place a lot earlier than they think. They’re dealing with something asset-heavy that may require a trust and tax planning.” NY FarmNet offers farmers free, confidential consultation services regarding financial and business management, and family, and mental health support for farmers in New York state. It’s a program of Cornell University in Ithaca. Howell urges farmers to begin the conversation early. Most family farms are run by generations with the oldest generation most involved and typically with fewer of the middle-aged adults and young adults involved. Some of the younger generation may have off-farm jobs and not live on the homestead. “Different people have different expectations on their legacy,” Howell said. “Intergenerational conflict and discussions can be difficult. It may be good to check with NY FarmNet or Ag Mediation to help mediate these conversations with a third party. A lot of farms have broken up because people can’t decide how to divide things.” New York State Agricultural Mediation Program is a USDA‑certified, free or low‑cost service for farmers. Fair is not always equal. A sole owner simply stating that he wants to divide things equally among his children may leave one-quarter of the farm operation to an adult child who moved away and hasn’t sat in a tractor for decades. The three adult children who have toiled on the farm for 30 years may need to buy out the fourth, non-farming sibling but cannot because all of their money is tied up in the equipment, land and stock that supports their livelihood. Their payrate may not allow them to set aside much to buy out the non-farming sibling. As a result, they may need to sell parts of the farm off in order to keep it. However, doing so may limit their ability to sufficiently support their families. The farm owner may need to bequeath more assets to the farming siblings because their efforts have kept the farm going and without those assets and their work, the farm will cease operations. Howell advises seeking professional help on tax and legal issues. Without it, families can be exposed to expensive problems and infighting. A third-party expert can help farm families navigate what is truly fair in the family’s succession plans. Beyond the practical aspects of inheritance, succession also relies upon planning who will operate the farm and how. “I think it’s important that farmers understand the means and methods of farming are always changing,” Howell said. For example, many young adult farmers earn a degree at a school such as Cornell, SUNY Cobleskill or Morrisville, work on a different farm for a while and then return to their family farm with big ideas on how to improve the farm — if only their dad and uncles will agree. Intergenerational conflict is often centered on newer ideas such agritourism, online marketing and shipping goods. “It causes conflict,” Howell said. “A lot of it comes down to communication and respect within the family. If no one in the family wants to take on farming, what we’ll see is older farmers start to help trusted managers buy into the farm.” The middle-aged generation, now in their 40s and 50s, often struggle with wresting the helm from their parents. Howell said that many older farmers don’t discuss with their grown children their vital business information such as vendors, ordering supplies, pricing, recordkeeping and farm planning. They even claim that “the kids” aren’t ready yet. These gaps in cross-training may cause significant problems even before the older generation dies, if there’s an illness or injury. Howell urges farmers to document these processes and cross-train others on the farm how to handle these areas “to make sure if one person is incapacitated, the entire operation is not at risk,” he said. Mark Modzeleski, financial adviser, financial planner and president at Legacy Wealth Advisors of NY in Syracuse, advises families to talk sooner than later about who should be operating the farm. “Someone is driving the farm,” he said. “Have you decided who? Be honest when you have that conversation. Who do they turn to when there’s a question? Or who has the potential to be leaders?” Planning for leadership continuity is vital. Unfortunately, talking like this can become fraught with emotions if it’s only the family involved. Modzeleski advised finding a third party who can help drive the conversation. “Invite the right people to the conversation who can get you from point A to point B,” he said. “This is a marathon, not a sprint.” It may take sitting down a few times with an estate planning attorney who specializes in farm transition, along with a tax professional and others who can help moderate and plan. Family members, owners and possibly, integral farm managers should attend the meetings. “Figure out what you want your legacy to be,” Modzeleski added.
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AI as the next political divide
We have a guest post today from our friends at Focaldata, with whom we have done polling before. They have been doing a lot of work on attitudes towards AI and how this is affecting politics on both sides of the Atlantic. In this post, they explore exclusive new polling – with a whole set of fascinating charts on how voters’ views are developing and why. In particular, the authors explore why the debate is currently so much more polarised by party in the US than in the UK, to the benefit of the Democrats. Subscribe Focaldata HQ is located in Shoreditch, east London. To access the office from the Shoreditch High Street Overground station, you have to walk under the bridge at Braithwaite Street. We mention this not as a navigational aid, but because the posters above caught our eye over the summer. Since June, the area has been the centre of a fiercely contested debate around the construction of a data centre on the Truman Brewery estate on Brick Lane, less than 200 metres from our office. It was one of the first ‘US-style’ protest movements around AI data centres the country has seen, and may not be the last. These protests served as the catalyst for our forthcoming report, examining whether AI could become the next political divide on both sides of the Atlantic. We wanted to understand what was driving the emerging politics of AI and whether the dynamics at play in the US offer clues as to how the British debate will evolve. Over the last month, we polled 3,851 people across the UK and US about their views on AI. Our research found striking similarities between the two countries: for instance, both electorates are evenly split on their views towards AI development, with just over a third in favour (37% in each country), a similar number opposed, and the remainder somewhere in the middle or unsure. Statistically speaking, there is no difference in overall sentiment towards AI between the UK and US. Under the hood, demographic patterns also look largely the same in the two countries, with millennials, degree holders, full-time workers and those who describe themselves as financially comfortable more pro-AI than the rest of the country. Despite this convergence in overall attitudes, there is a striking divergence in how much of a politicised issue AI has become. In the US, attitudes are increasingly split by political affiliation and the issue has become the latest front in the seemingly interminable culture war, playing a role in the upcoming midterms. This stark political polarisation of AI has not happened in the UK – at least not yet. In what follows, we test several hypotheses for why the two countries are so far apart on a political basis. Understanding which hypothesis is correct will give us an indication of where the British dynamics go next.
Weekly Recap: Open-science AV partnership and benchmark performance pledge
Valeo SE (EURONEXT:FR) is partnering with KE:SAI to co-develop an open-science autonomous driving system for general vehicles, aiming to match and surpass major public driving benchmarks while committing to reproducible AI research and openly publishing results.Previous Week RecapThis is an AI-gene…
Yale School of Medicine On the Science of Childhood Anxiety, Say, Anxiety Disorders Are the Most Common Mental Health Challenges In Youth
Credit: Matt Bradbury October 5, 2026 - By Isabella Backman - Anxiety disorders are the most common mental health challenges in youth. Left untreated, they can disrupt the lives of both children and their families. The good news is that with intervention, most children will overcome these conditions. Across Yale School of Medicine, scientists are working to understand anxiety at every level, from common anxious behaviors to molecular biomarkers in the brain. They are using their findings to develop and disseminate new evidence-based treatments for childhood anxiety. Today, the go-to treatment for childhood anxiety disorders is cognitive behavioral therapy (CBT). This is a form of psychotherapy that teaches children skills for confronting anxious thoughts and helps them practice managing situations that cause anxiety. While it is the gold-standard treatment backed by considerable scientific evidence, up to 50% of children will not see sufficient benefit from CBT alone. Wendy Silverman, PhD, Alfred A. Messer Professor in the Child Study Center, co-directs the Anxiety and Mood Disorders Program alongside Eli Lebowitz, PhD, associate professor in the Child Study Center. One of their main interests is learning how to improve outcomes beyond CBT. “We’re developing cutting-edge, research-based knowledge that can reduce the suffering that anxiety causes children and their families,” says Silverman. Changing parent behavior YSM experts are investigating how to improve CBT outcomes for children by involving the parents. Silverman’s research has uncovered two main components of parent intervention that improve childhood anxiety: not enabling children to completely avoid the things that make them anxious and taking steps to enhance their autonomy. Parents may unintentionally reinforce their child’s anxiety by allowing them to avoid what makes them anxious. They also may unintentionally limit the children’s sense of autonomy by being overly intrusive. “One of the things that we take pride in is that we’ve focused on trying to understand what parents need to do, and to test our ideas and see if changing the parents’ behaviors is enhancing the effects of CBT,” Silverman says. “Our findings thus far suggest that they do." As much as CBT can be helpful, it can also be challenging to get one’s child to do the necessary steps for CBT to work. This is one important reason why Lebowitz created a novel intervention program for parents named Supportive Parenting for Anxious Childhood Emotions (SPACE). Existing intervention programs often teach parents to act as therapists for their child, such as training them on how to practice breathing exercises. “It makes sense, but this doesn’t work very well in practice,” says Lebowitz. “And part of the reason, I think, is that it’s not easy to get your kid to do things, especially if they’re not excited about doing it.” SPACE is unique because it focuses entirely on parent involvement and changing parental behavior—children are not involved in the sessions. For example, parents learn how to use supportive messages that convey confidence that their child can tolerate and manage distress. “It might sound like a parent saying to a child, ‘I get that this is really hard for you, but I know that you can handle it,’” Lebowitz says. The program also works with parents to identify the ways in which they are accommodating anxious behaviors. “We’ll pick one thing that parents are doing that is an accommodation and help them make a detailed plan for how they’re going to change that,” Lebowitz explains. Treating Anxiety in Children and Adolescents Much of the existing research on SPACE has focused on parents of children under age 14. Ongoing studies are now exploring its use with parents of older teens. “Both anxiety and accommodation can interfere with normative developmental shifts during the teen years, including increased autonomy and individuation from parents,” says Rebecca Etkin, PhD, associate research scientist in the Child Study Center. “In this sense, SPACE may be particularly well-suited for anxious teens and their parents. We want to see whether it is effective during this distinct developmental window.” Unfortunately, many families in need of CBT face barriers, including limited availability of services and geographic constraints. One way to improve access is digital interventions. Silverman and her team are developing an evidence-based digitized intervention program for parents that they can access directly from their computer or smart phone. “The work we’re doing will be one of the very few parent interventions that is digitized and importantly tested for effectiveness,” she says. Creating interventions for anxiety-related challenges Silverman and Lebowitz recently received a generous gift to develop and test other interventions that help parents reduce other child anxiety-related behavioral and emotional difficulties, such as restrictive eating and unexplained somatic symptoms. One of these projects in particular focuses on understanding the risks of social media and its potential benefits, including offering a sense of connection. “A lot of research has focused on the idea that social media is harmful and the less of it the better,” says Lebowitz. “But we actually see is that this is not quite right—there are negatives, but there are also positives. So, we’re trying to get a little bit more nuanced of a picture.” The team is working with teens with social anxiety and their parents over an extended period to better understand their social media habits and how their anxiety levels affect engagement with different platforms. The teens will answer questions sent to an app on their phones about mood and social media usage in an effort to capture emotional responses as they unfold. “We hope to develop interventions that can help make the best of social media while protecting against the more problematic effects,” Lebowitz says. The brain’s role in anxiety Researchers are also testing therapies to address anxiety at the neurological and molecular levels. In collaboration with Dylan Gee, PhD, professor of psychology in Yale's Faculty of Arts and Sciences, and Hilary Blumberg, MD, John and Hope Furth Professor of Psychiatric Neuroscience at Yale School of Medicine, Lebowitz and Silverman are using brain imaging to identify changes in a child’s brain before and after parents enroll in SPACE. In one study, children viewed anxiety-inducing images while undergoing magnetic resonance imaging (MRI); the researchers conducted scans with and without the children’s parents nearby. Before SPACE, children’s brains were better able to activate the regulatory circuitry needed to turn off an anxious response when their parents were nearby. But after SPACE, children could activate this circuitry even without the parent around. “As parents work on gradually reducing some of their accommodations, you can see a child get better at regulating their own fear system in the brain,” Lebowitz says. “It’s remarkable.” Research into the molecular underpinnings of anxiety can also inform new childhood anxiety treatments. In a recent study, Lebowitz, Silverman, and Flora Vaccarino, MD, Harris Professor in the Child Study Center, discovered that a protein known as fibroblast growth factor 2 (FGF2) could be protective from the toxic effects of stress. FGF2 levels in children and their parents were linked to the children’s risk of developing anxiety and depression, the study showed. The findings could help explain why some children who are exposed to early life trauma such as poverty or abuse are more prone to developing mental health disorders. And FGF2 could be a target for treatment. “This is very novel because it starts to give a clue to what is the molecular chain that connects those lived experiences to the actual psychological outcomes,” Lebowitz says. New ways to study and treat childhood anxiety Michael Crowley, PhD, associate professor in the Child Study Center, collaborates with Silverman and Lebowitz to study the role that attention plays in development and maintenance of childhood anxiety. There is a large body of research that shows that anxious children, like anxious adults, are prone to focus on threatening stimuli such as angry faces compared with neutral faces. This has led to innovative interventions that involve attention retraining. The idea is that if experts train children to look away from threatening stimuli, it may reduce their anxiety—especially children with social anxiety who are most prone to attend to threats. The researchers have just completed a clinical trial for attention retraining with 10- to 14-year-olds with social anxiety disorders and are currently analyzing the findings. Besides this innovative attention retraining research, as Crowly notes, “I like to design tasks that are engaging to kids,” Crowley says. “My goal is to assess something without the kids knowing what we are assessing.” With this goal in mind, Crowley has created a virtual game, named Boom, to study threat processing in children with anxiety disorders. The game is similar to that of hot potato—the child and three digital players take turns virtually passing a ball to each other’s gloves. At some point, the ball turns into a bomb, and as the bomb lands in each player’s glove, the outline of the glove turns yellow. The goal is to avoid having the bomb go off in your glove. What isn’t obvious is that the game is designed to measure different types of threatening stimuli, both ambiguous and direct. In the game, the direct threat occurs as the bomb is traveling towards your glove. The ambiguous threat is the yellow outlined glove as it is unknown where the bomb will travel next. While children play the game, Crowley’s team measures their brain activity using electroencephalography (EEG). The researchers have discovered that in kids with anxiety, the brain reacts more strongly to ambiguous threats than it does in their peers, but less strongly to direct threats. They believe that the initial abnormally large brain response to not knowing where the bomb is going impairs the brain's ability to properly respond when the threat is actually traveling the child’s way. “The brains of children with anxiety are unable to differentiate between threats you need to do something about and those that are not your problem.” Michael Crowley, PhD, develops innovative games for studying anxiety in children and adolescents.Credit: Matt Bradbury Based on these insights, Crowley hopes to study whether interventions like attention training could restore appropriate threat processing. Crowley’s team is also working on a test called the Balloon Risk Avoidance Task, which evaluates risk-taking and avoidance behaviors. It features a digital balloon that is full of air and about to burst. Kids have six seconds to let air out of the balloon. The more air they let out, the less risk they face that the balloon will pop. But at the same time, the balloon becomes less valuable as it deflates. “The more air you keep in the balloon, the more points you get,” Crowley explains. So far, the researchers have found that when the balloons pop unexpectedly, teens with social anxiety show distinct brain responses. Studying these responses can help psychologists understand the underlying pathways driving the various manifestations of anxiety. The genetics of anxiety When Thomas Fernandez, MD, associate professor in the Child Study Center and of psychiatry, was still in training, there was a lot of excitement about understanding the genetics associated with autism spectrum disorder. Since then, scientists have identified around 250 genes associated with autism. The genetic contribution to anxiety disorders, on the other hand, has historically received less attention. Anxiety is less heritable than autism, but the genetic contribution for anxiety disorders that emerge in childhood may be higher than for anxiety disorders overall. While scientists estimate the heritability of anxiety disorders in general to be around 30% to 50%, some studies suggest higher heritability for certain childhood-onset anxiety presentations. “I saw firsthand how researchers in the field went about finding vulnerability genes for autism,” Fernandez says. “So, we’re using a very similar playbook for childhood anxiety.” “I saw firsthand how researchers in the field went about finding vulnerability genes for autism. So, we’re using a very similar playbook for childhood anxiety.” Thomas Fernandez, MD Associate Professor In the Child Study Center and in Psychiatry Now, Fernandez and Emily Olfson, MD, PhD, assistant professor in the Child Study Center, are studying children and their parents to identify genetic changes that are present in the child but not the parents, known as “de novo mutations.” “All of us have some de novo mutations—maybe about 50 to 100 sprinkled throughout the genome,” Olfson says. “But when they occur within the coding regions of genes, they can be really disruptive.” Previous research shows that people with autism have higher rates of damaging de novo mutations than the general population. In 2022, Olfson, Lebowitz, Silverman, and Fernandez published a study on 68 children and their families that found that children with anxiety had similarly high levels of these mutations. Studying de novo mutations can help point the researchers to where they should be looking for genes associated with anxiety. “The end game is using the genes to steer us toward the right part of biology that we can then target to come up with better treatments,” Fernandez says. Building on those findings, the team is now studying more families to better understand how these de novo mutations, along with other genetic and environmental factors, shape pediatric anxiety disorders. They recently received a National Institutes of Health grant to enroll 750 new families over the next five years. Olfson is the principal investigator, with co-investigators Lebowitz, Fernandez, Silverman, and Shuangge Steven Ma, PhD, department chair and professor of biostatistics at Yale School of Public Health. Neurodevelopment, Risk Genes, and Mental Health Conditions - The Olfson Lab Joel Gelernter, MD, Foundations Fund Professor of Psychiatry, is interested in how different anxiety disorders differ genomically. “We are studying social phobia, panic disorder, and generalized anxiety disorder, working to understand why people differ in their risk to these specific anxiety disorders and evaluating various risk factors,” he says. Gelernter was recently involved in one of the largest studies to date of the genomics underlying anxiety disorder. The study included around 122,000 people with anxiety disorders and around 730,000 without. It found that some genetic differences associated with anxiety were linked to signaling that helps reduce overactivity in the nervous system. Many anxiety medications available today work by targeting this process. “It’s nice when the biology that you get out of a large genome-wide study ratifies things that we already know because that can help increase confidence in further findings from the study,” Gelernter says. Uncovering the neurobiology of psychiatric disorders John Krystal, MD, Robert L. McNeil, Jr. Professor of Translational Research and chair of the Department of Psychiatry, is interested in the neurobiology of psychiatric disorders, including post-traumatic stress disorder (PTSD), of which anxiety is a major symptom. In the late 1980s, Krystal’s team discovered that the drug yohimbine activated symptoms in patients with PTSD. “This was the first time we could link a specific biological mechanism to the symptoms of PTSD,” Krystal says. At the time, he adds, this finding was highly controversial. “A lot of people felt that PTSD was a purely psychological syndrome that didn’t have an underlying biology.” Since then, Krystal has dived deep into understanding the neurobiology of PTSD to learn how to better treat it. His team is evaluating the use of ketamine and psychedelics. These would be among the first treatments to be developed specifically for PTSD. They may also be applicable for other disorders including anxiety disorders, Krystal adds. An important gap in PTSD treatment is the absence of biological tests that inform how to best help patients manage their PTSD symptoms. A doctor doesn’t diagnose cancer based on how they feel. Rather, they use tests of the biology of the cancer to determine the best course of treatment. “And we can’t do that in any psychiatric disorder other than Alzheimer’s disease,” Krystal says. “But now we are building a foundation for this approach to the treatment of anxiety disorders for the first time.” Source: Yale School of Medicine
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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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A Major Labor Boom in CNY? Not Here Yet
With so many major projects going on — Micron, I-81 viaduct and others — job growth is predicted to increase. But so far the number of jobs in the region has declined By Aaron Gifford [caption id=attachment_11065 align=alignright width=350] Amy Stage, deputy director at the Manufacturers Association of Central New York (MACNY): “For us, the conversation isn’t just about filling jobs. It’s about creating sustainable pathways that help people see a future for themselves in manufacturing.”[/caption] The I-81 viaduct project in Syracuse and Micron facility construction in Clay are expected to create a major labor boom for Central New York. But for the time being, the number of jobs here has actually decreased in the past year. The New York State Department of Labor reported that, for the annual comparison of June 2025 to this past June, private sector jobs decreased by 2,200 or less than 1% to 260,000. Job gains were concentrated in leisure and hospitality (+700), private education and health services (+400) and other services (+300). Job losses for that annual period were reported in the areas of trade, transportation and utilities (-1,500); professional and business services (-1,000); financial activities (-500); mining, logging and construction (-300); manufacturing (-200); and information (-100). The public sector job count rose over 12 months, with most growth concentrated in education, the state Department of Labor reported. Looking ahead, the Central New York economy is expected to benefit from both the Micron and I-81 viaduct projects over a period of several years. Initial job growth is foreseen in construction and computer and electronic manufacturing. Spin-off jobs will be created in the areas of professional and business services, health care and education, the state Department of Labor said in an email response to Oswego County Business magazine. “Population growth tied to the buildout of Micron Technology semiconductor complex in Clay is also expected to bring more workers and residents to the region, increasing demand for transportation services,” the agency said. New York Department of Labor highlighted current or projected job growth trends in various sectors. An increase in defense-related contracts at local high-tech employers has continued to support employment growth in the computer and electronic product manufacturing sector and Micron is expected to generate thousands of direct and indirect jobs as the project progresses. This sector paid an annual average wage of $117,500 in 2025 and employment in the sector is projected to grow by over 60% through 2032, making it the fastest-growing industry in the region. Typical occupations in this industry include electrical, electronic and electromechanical assemblers, software developers and industrial engineers, the state agency reported. Specialty trade contractors include several different types of tradespeople — electricians, plumbers, pipefitters and steamfitters and HVAC (heating, ventilation and air conditioning) mechanics and installers. Many of these positions are trained through apprenticeships, the state Department of Labor reported. The Interstate 81 construction project is generating local jobs, including construction laborers, projected to grow at a 6.4% rate, and operating engineers and other construction equipment operators, projected to grow at a 7.3% rate over the next several years. Construction of the Micron Technology facility is also “creating thousands of job opportunities that will continue over the next two decades,” the state agency reported. The specialty trade contractors sector paid an annual average wage of $86,200 in 2025. For Central New York, the challenge isn’t creating jobs, it’s filling them. Amy Stage, a deputy director at the Manufacturers Association of Central New York (MACNY), said meeting this unprecedented growth is a much larger task than just replacing retirees. “We’re seeing workforce gaps at every experience level,” she said. “Companies need entry-level employees, experienced technicians, supervisors, engineers and skilled trades professionals. The opportunity is tremendous, but we need more people entering these career pathways.” Employers are looking for people who can troubleshoot, read technical information, use computers and learn new processes, not just perform repetitive production work, Stage said. To address this demand, the MACNY created the Manufacturers Talent Institute, which aims to connect students and job seekers with meaningful career pathways while helping employers build their workforce. Twenty-one companies have so far signed up to provide opportunities for more than 800 students. “For us, the conversation isn’t just about filling jobs,” Stage said. “It’s about creating sustainable pathways that help people see a future for themselves in manufacturing.” Several manufacturing facilities in the region are in the midst of expansion: • TTM Technologies, a leading U.S. manufacturer of advanced electronics and interconnect solutions for aerospace, defense and high-technology markets, which has a plant in DeWitt, completed its buildout of an additional facility, adding 400 jobs and expanding production of high-tech circuit boards for defense and critical electronics applications. • In Cortlandville, the Byrne Hollow Crossing Plant, a dairy manufacturing and processing facility, is increasing its operations, creating 100 new jobs. • The Chobani yogurt company is building a 1.4-million square foot dairy processing facility in Oneida County. This will create more than 1,000 good-paying jobs and double Chobani’s New York state workforce, Stage said. Stage noted several ways that local, state and federal governments can help spur manufacturing job growth in this region. Elected leaders and public agencies could work with industry representatives to create pre-apprenticeship and registered apprenticeship programs seeking to upskill workers and improve employee retention. New York state has a variety of grants, tax incentives and financing programs to support site preparation, infrastructure, workforce development and capital investment. The U.S. Department of Labor has a pay-for-performance incentive program that provides employers $3,500 per new apprentice hired and retained for 90 days. MACNY was previously awarded an $87,000 federal grant that will cover 25 apprentices at nine companies. The manufacturing skills gap in the United States, at its current rate, could result in 2.1 million unfilled jobs by 2030, according to a study by Deloitte and The Manufacturing Institute. In New York state, that gap is on pace to exceed 100,000 unfilled positions within six years. Manufacturing companies will be counting on more women to help fill that gap. While women make up half of the overall U.S. workforce, they only account for 29% of the manufacturing workforce in this country, Stage said. “Pre-apprenticeship programs like Real Life Rosies help to bring awareness to the manufacturing industry to fill some of the gaps, but we have a long way to go and it starts with educating people at younger ages about careers in manufacturing and earn-and-learn opportunities,” she said. As for Micron, that $100 billion-plus project, considered the largest private investment in New York state history, is expected to eventually create up to 50,000 jobs throughout the region, factoring in the spin-off opportunities for construction and supply chains. The plant’s foundation was poured on July 9. “As America celebrates its 250th anniversary, data and memory are foundational to the modern economy — and Micron is increasing our U.S. investments to more than $250 billion through 2035 to meet that moment,” the company’s president and CEO, Sanjay Mehrotra, said in a news release. Bechtel, Micon’s construction partner in the project, reported that 4,500 people will be employed to help build the facility, including skilled craft professionals, local union members representing various trades and apprentices. The Syracuse-based CenterState CEO organization tallies the regional labor force at 397,582 workers (Onondaga, Cayuga, Cortland, Madison and Oswego counties). Job growth isn’t limited to the Central New York region. For the larger area covering portions of the Mohawk Valley, the North Country, the Southern tier, and the western part of the state, there are 155,601 employees in the advanced manufacturing sector, and 155,275 construction workers. The agency’s 2026 Economic Forecast report noted that 41% of community and business leaders surveyed said a shortage of skilled workers in this area remains a problem, though 77% shared a positive economic outlook for the year ahead. Beyond the semiconductor and advanced manufacturing areas, local business leaders also see growth in small manufacturing companies, storage businesses, housing, unmanned flight technology and general construction. “Productive reuse of property,” the report said, “will hopefully continue to preserve unique architecture while driving business.” The report identified several challenges for economic growth in the region, including an aging workforce, outdated equipment, the rising cost of raw materials and “the disconnect between the speed of business needs and the pace of talent readiness.”
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Golf driving range proposed for Route 7 in Ridgefield
A vacant lot on Route 7 in Ridgefield could become an outdoor golf driving range under a proposal before the town’s Commission.
Uber driver struggles with gas costs in Southern California
Matthew Guerrero, an Uber driver in Southern California, discusses the financial challenges of driving, impacted by high gas costs and low tips.
AI Agents and the Rise of the Lab-in-the-Loop
Automation and robotics enabled the self-driving lab, but these largely follow pre-defined workflows. In this Q&A, Mark Fish explains how AI agents enable the "Lab-in-the-Loop" approach, which could accelerate life science research.