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Kraft Heinz is Selling Its Coffee Business. Its Stock is Brewing.
Private equity firm One Rock Capital Partners is buying the operation at an enterprise value of $650 million.
Kraft Heinz to sell coffee business that includes Jacksonville Maxwell House plant for $650M
Kraft Heinz has agreed to sell its North American coffee business to an affiliate of One Rock Capital Partners for an enterprise value of $650 million, while keeping a 30% stake in the business.
CData Software Recognized as Challenger in Gartner's 2026 Magic Quadrant for Data Integration Tools
CData’s platform connects and governs access to hundreds of enterprise systems for people, applications and AI agents CHAPEL HILL, N.C., Nov. 4, 2026 — CData Software today announced that it has been positioned as a Challenger in the 2026 Gartner Magic Quadrant for Data Integration Tools. CData is the only vendor positioned in the Challenger […]
Science Café examines metals and their impact
Davis Science Café is back Wednesday, Nov. 11, from 5:30 to 7 p.m. at G Street WunderBar, 228 G St. in downtown Davis.
Harmony at craft fair
New Harmony Jazz Band will be at the Davis Craft & Vintage Fair in Central Park from 2 to 4 p.m. Sunday, Nov. 14. Enjoy two free sets of big
OpenAI: ChatGPT Search Is About 20% of Google’s, 250 Million People Speak With ChatGPT, and Chat Is Merging With Work
OpenAI says ChatGPT growth is accelerating. The company added 200 million users over just the past two months, jumping from 1 billion to 1.2 billion weekly active users in 60 days. Its search volume, it says, is approximately 20% of Google’s. Its users create 1.5 billion images with it per week. And its voice mode, between dictation and speaking with ChatGPT, now has 250 million combined weekly active users. ChatGPT consumer product lead Adam Fry told me this during a brief fireside chat at an OpenAI-hosted dinner in New York City on Monday night. “The growth is just going big,” he said. During our conversation, Fry also revealed plans to merge ChatGPT’s Chat and Work modes (so that confusing toggle up top will soon go away), agreed with feedback that ChatGPT-created restaurant signage looks too uniform, and addressed the cost to serve its personal assistant Dots. Here’s a look at our full conversation, lightly edited for clarity and length. We also cover image generation, interactive interfaces, advertising, education, and public unease about AI: Alex Kantrowitz: OpenAI has analyzed ChatGPT’s search volume and compared it with Google’s. What did you find? Adam Fry: ChatGPT has been growing quite quickly. ChatGPT’s volume of search-like queries is now roughly one-fifth the volume of queries of Google. It’s a pretty amazing statistic when you think about it, mainly because we started just about a year and a half ago. It’s hard to remember this, but ChatGPT at a time didn’t have any up-to-date information. You’d ask a question, it would say something like, “It’s past my training date,” and nobody had any idea what that meant. You’re saying ChatGPT’s search volume is one-fifth of Google’s. Bing’s share of the search market is around 5%. Does that make you multiple times larger than Bing? To say that more directly, ChatGPT has gone from one billion to 1.2 in just the last two months. That’s roughly 100 million users in 30 days, and another 100 million in another 30 days. The growth is just going big, and we’re staying very focused on how fast ChatGPT is growing. What counts as a search? I might have 20 prompts back and forth in a ChatGPT conversation. Does each one count as a query? Story continues below… A MESSAGE FROM OUR SPONSOR Move upmarket without a rebuild Moving upmarket means saying yes to what enterprise buyers ask for first: SSO, directory sync, and audit logs. WorkOS gives you all three, so your team keeps building the product instead of the checklist. Get enterprise-ready. Continued from above…. Adam Fry: What people came to ChatGPT for to start, if you go back about two years, is really writing help and coding help. Those wouldn’t be things that you really search for. What we’ve seen over the last year is people have grown into all these other topics. Things like you’re looking up a person or people or a place or a thing, and it requires up-to-date information. That’s a key element. Another big part is finance questions or health questions, where you really want to make sure it’s up-to-date information that’s quite factual, and we’ll do a web search for those questions. It’s basically anything that a user would have traditionally gone to a traditional search engine for, but is now deciding to go to ChatGPT for. Does each conversation with a search embedded count as one search, or does every question that requires a web search count? Every time you ask a question and go search the web, that’s a search. You used to work at Google. How would you say the nature of search is changing? One of the things that people really love about ChatGPT is this personalization and this understanding of the broader journey. If you look in the past, people would go for a Q&A box, and you’d ask a one-off question, like how tall is the Eiffel Tower. But there’s so much context in our lives around, “Maybe I’m taking a trip to Paris.” It’s actually helpful for ChatGPT to respond, “Here’s how tall the Eiffel Tower is, but I know you’re going on a trip to Paris.” It’s that ability for people to actually maintain context over time that has led them to start using ChatGPT in this way. You’ve also announced 250 million weekly active users of voice input, including dictation and conversations with voice mode. We are at 250 million weekly active users. What’s amazing about this is, if you look at those 250 million, what we’re seeing is it’s actually also incremental to the product. It’s no longer just a novelty. People aren’t just trying out voice. We’re seeing them use voice input day to day in their daily life, and it’s grown so quickly. Those 250 million users are using voice input, and that could just be a quick question or a long conversation. We’re seeing both behaviors. We’re seeing people just not want to type. You just hold it and start talking to it, or it turns into a longer conversation where people just sit with it. The big reason for this is the frontier capabilities of our models that we’ve shipped. We shipped what we call GPT Live 1, and then we shipped GPT Live 1.1. The big change with this is that it’s much more natural to speak with. It’s something we call backchanneling and interruptibility. Mhhhm… What you just did there is what the model does, because it’s really good at having a bidirectional conversation. That push to the frontier—we were the first to really release this at scale—has made it so much more natural for people to chat. That’s still only about 20% of the user base. From the outside, that looks small. Why is it exciting from the inside? It’s very exciting for a few reasons. We see from the data that when people start using voice, they stay around using voice. One of the things, transparently, we can do a better job of is bringing more people into discovering it. We see that the number of people who discover it could be a lot higher. But once they do, it’s a really new way for people to interact with AI. We’ve made a lot of improvements to it too, where we’re just going to see the number go up. You have background mode, so now by default, if you close the app, it’ll show, “Hey, the conversation’s still going.” If you want to walk around the house or you’re putting away the groceries, you can still have a chat. That kind of continuity has also changed how much people use it. Dots launched on September 29 and is about a month old. How’s it doing? It’s doing great. We talk to people about their Dot, and the first thing that everyone says is, “I love my Dot.” One of the reasons we’re seeing this is the proactivity, its ability to reach out to you and figure out things. The biggest use case I see all the time is, “Did I forget something today that I was supposed to do?” You can just say to your Dot, “Remind me of things at the end of the day that I may have forgotten. Somebody emailed me or messaged me,” and it’ll do that. This Dot changes the paradigm of the relationship with AI, where it’s actually helping you and giving you time back. You’re more conservative with permissions than some competitors. I tried to give my Dot my credit card, and it wouldn’t take it. With the creator of OpenClaw in-house, why are Dots’ permissions more limited? This is a space where we want to be very thoughtful and conservative because it’s a new space where you’re entrusting your Dot to take care of things on behalf of you that matter and are meaningful. We’ve just talked about how you go to this 1.2 billion user growth and asking questions. Now we’re asking people, “Can you ask ChatGPT or your Dot to help get things done?” But when you ask it to help get things done, it’s a whole new level of trust. We’ve built up a tremendous amount of trust in giving the right answers to your questions, and we want to make sure that when we build this new product, it has a high degree of trust. It’s a long game. We think this is going to be a new market for a very long time, and we want to make sure that we’re being this trusted player in the market to start. I initially thought Dots would be available on my $20 plan, then realized I had to spend $100 a month to get it. I upgraded, but I’d like to downgrade at some point…. We hope to keep earning your business and make the value good enough. It’s a really good point. ChatGPT’s goal more broadly, which I think is unique for us in the market, is we are focused on bringing intelligence to everyone safely across the entire world. For Dots in particular, there’s no difference. We don’t have anything to share tonight about the date of when Dots will go to a broader set of users. But you can rest assured we’re working very hard, and there are a couple things we have to get right. Over time we’re going to work on more efficient, agentic models that are able and capable of doing things for you. The first one is, right now we wanted to make sure that your Dot is actually really helpful. We started with some of our best models, but over time we’re going to work on more efficient, agentic models that are able and capable of doing things for you. The second thing is around proactivity. We’re still dialing in: How much do I message you to help you get things done? We can always play around with that to understand how much usage should a user use to have a successful Dot. We’re going to work on both, and our goal and ambition is to bring it out to all users. How much background computing does a Dot require? I’ve read estimates that serving a $100 subscriber might cost OpenAI $3,000 in compute, and mine seems to read every email that arrives. How often is it checking connected data sources? Right now, Dots are on the compute-heavier side, and this is one of the things we want to make sure that we can dial back over time. But the goal is to give you the best product. This is our premium, always-on personal assistant. Once we nail that, we’ll figure out how to dial back the compute needs. The thing we’re seeing also from our models, as we train frontier models, is just how—I can’t even keep up with how quickly we have a new model, and each new model is more efficient. If you looked at 6.1 Sol when it came out relative to Astra, much more efficient. I’m very excited about the next set of models we have coming too that’ll be even more efficient that we can use. Elon Musk said the cost of serving Grok Bot was unsustainably high relative to revenue. Is efficiency the key to winning against competitors, or is there more to it? There are a couple of factors that go into it. One is the cost side, but the other is the revenue side. On ChatGPT and on our consumer business, we’ve been extremely proud of our ability to diversify different revenue streams in a way that’s growing really fast. To give you another stat, we announced several months back that we had passed 50 million subscriptions, and the number has grown considerably since then. On ads, within 200 days, we reached more than a billion in ARR, and that business is growing extremely quickly. We also have credits. Rather than paying for subscriptions, users can buy more credits. Between credits, subscriptions, and ads, I’m confident that the value of a Dot is going to be able to pay for itself. Elon has subscriptions too. This is clearly an expensive product to serve. One thing we continue to bet on at OpenAI and ChatGPT more broadly is that the models will continue to get much better and much cheaper, way faster than any of us think. If you look back at the historicals on it, it continues to be true. From what I’ve seen, I see no slowing down of that. What is Meta doing right with Muse? It has spent a lot of time atop the App Store charts. There are a couple of things they’ve done well. The first is people have been craving simplicity in their products. One of the things we have stated publicly as well is, at times AI products can be too complex. We’ve announced we’re merging ChatGPT’s Chat and Work. We’re making it much more simple in the products. You don’t have as many toggles or sliders between efforts and different model pickers. One of the things they’ve done well is this simplicity. You just go in and you can ask a question. You don’t have to think too much about what you’re doing. That’s one thing that seems to have resonated with users, which we also believe in. Second, there’s something really nice about being able to access your agent across many different channels. We just announced and launched Dots on iMessage. Whether you talk to your Dot on email or iMessage or within the ChatGPT app, the ubiquity in getting your assistant out there is going to be key. Those are two things that, if I had to be nice to our competitors, I would say were two big ones. So Alexandr Wang’s meme-tweeting strategy isn’t something you’re going to emulate? I have a different tweeting style. ChatGPT still asks me to choose between Chat and Work, even though some people call this technology AGI. Will that distinction go away? Couldn’t agree more. We have to solve this. Asking users to choose — we’ve heard repeatedly from all of our users it’s too much to understand. When should you go to Chat? When should you go to Work? It’s solvable. There’s real research to solve to make sure the models can understand what your intent is. Are you asking for a fast, quick reply? Are you asking me to go do a long agentic task? We’re going to solve it, and the plan is to bring Chat and Work together. So one interface will work out whether I’m asking for a conversation or a task. When? Coming soon. You told me the majority of ChatGPT’s 1.2 billion users are using image functionality. What are they doing? Today, 1.5 billion images are created per week. It’s hard to even wrap my head around that number. They’re doing a wide range of things. One of the most interesting things they’ve started to do is really use it for productivity use cases. The first thing it started with—I don’t know if you saw the ’80s trend, but it was quite fun. You could take a photo of yourself and say, “Put me and my family in ’80s outfits.” I did this for my family, and it was a really fun poster. But what we’re also seeing is businesses for their menus, or posters for birthdays. People are using it almost in a productivity-like fashion to create visual diagrams of what they would like to see. We’ve actually brought the latency down on images as well, so it’s gotten a lot faster. It went from a very high number of seconds to getting much faster. As it comes down even further, the number of images people are creating and the number of use cases is going to grow a lot. My feature request: When a restaurant makes a menu or sign, prompt it for more specificity so it doesn’t look like every other AI-generated restaurant sign. Or offer a shuffle button for a different style. I agree with the feedback, and we’ll take it to the team. I’m seeing ChatGPT generate little interactive interfaces within its answers. What’s the direction for Intelligent UI, and how are people using it? I am extremely excited about Intelligent UI. If you go back a couple years, these chat apps were all text, and now that’s changing. They’re going to be visuals. Intelligent UI and our first attempt at this with GPT-6 Intelligent UI is really just the beginning. As you go to the extreme, what you can imagine is, let’s say you’re using voice mode, and you just say, “Show me how offside works.” Immediately it should show you a visual diagram, and you say, “No, I don’t quite understand it.” It should just repopulate. That’s where the future of this technology goes. It’s almost like you’re talking to a canvas that will update and change. People are finding it helpful for a lot of things. My favorite one is—it’s hard to admit that I had no idea how hearts work. The last biology course I took was in high school. I just asked it, “How does the heart work?” and it instantly gave me a beautiful interactive diagram of where blood flows and how it goes through. I’m really, really bullish on this for learning in particular. You’ve described useful applications in finance, health, and learning, and ChatGPT has 1.2 billion users. If people are getting so much value, why is public polling on AI so negative? The reality with AI is it is going to change the nature of how work gets done. For a lot of people, that is something that can feel scary at times, and we’ve all felt that. But I remain confident that when people actually use the product and they use AI, it very quickly changes how they perceive it. We’re at 1.2 billion, but there are still a lot of people who haven’t used it. The more people use it, get familiar with it, how it can actually help you in your life, it’s going to feel a lot less scary. Big Technology is a reader-supported publication. To receive new posts and support our work, please consider becoming a paid subscriber. Thanks!! Subscribe
Who Controls Enterprise AI Agents? Data Platform Vendors Race to Provide the Answer
AI agents are everywhere. Every other news story is related somehow to AI agents. As more companies are starting to use AI agents, keeping track of what they’re doing isn’t so straightforward. Dataiku launched Agent Management in September, and Oracle spent part of its AI World conference in October talking about how businesses can keep […]
Snowflake Helps Enterprises Deploy AI Agents with Trusted Business Context and Built-In Controls
Business Ontology, a part of Snowflake Horizon Catalog, grounds enterprise AI agents in trusted, pre-approved definitions, so every answer is consistent...
Deloitte Forms US Oracle Business Group to Power End-to-End Enterprise Transformation
Deloitte today announced an expansion of its alliance with Oracle with the formation of the Deloitte Oracle business group, bringing together Deloitte's Oracle-focused capabilities across AI, applications, cloud infrastructure, data, cyber and managed services. The new group is designed to help clients modernize their Oracle environments, explore and scale agentic AI deployments — and draw on Deloitte's AI-infused service delivery platform Ascend™ and Deloitte Forward Deployed Engineering (FDE)
The Token Trap: Why AI Costs Spiral at Scale
Most enterprise AI teams discover the token cost problem somewhere between the demo and production, when the first real invoice arrives, and nobody can quite explain it. The query was straightforward, the prompt was short, but the bill reflects something much larger. That’s because the prompt is only a fraction of what gets billed. A […]
Attackers Hunt for Gaps, Enterprises Demand Proof: Regula’s 2027 Identity Verification Predictions
RESTON, Va., Nov. 02, 2026 (GLOBE NEWSWIRE) -- Regula, a global developer of identity verification solutions, today released its 2027 identity ...
Buy Zee Entertainment Enterprises; target of Rs 101: Prabhudas Lilladher
Prabhudas Lilladher's research report on Zee Entertainment EnterprisesWe cut our EPS estimates by 4%/2% for FY28E/FY29E as we fine-tune our content cost and A&P spend assumptions. Z IN reported weak operational performance with EBITDA margin of 3.2% (PLe 3.4%) primarily due to an adverse advertisin…
‘Wildwood’: An imaginative masterpiece
Fantasy adventures simply don’t get better than this
Brandy Lefsyk to blend science and holistic wellness in November
TOWNSEND — Imagine settling into a quiet room, letting the stresses of the day fall away as soothing sounds and gentle vibrations create space for stillness and reflection.
People on the move in Indian Country
November’s People on the Move highlights appointments and honors across Native business, finance, health care, education and tribal enterprises.
Mondavi packs November with entertainment
A widely praised novelist from Northern California, a touring chamber orchestra with an acclaimed British pianist, a stylish and highly accomplished saxophone quartet from Germany, and an unusual piano-and-flute duo
Patrick Stewart found 'Star Trek' fame but always returned to Shakespeare and the stage
Before he captained the Starship Enterprise, Patrick Stewart commanded the Shakespearean stage | WBBM Newsradio 780 AM & 105.9 FM
Patrick Stewart Found 'Star Trek' Fame but Always Returned to Shakespeare and the Stage
LONDON (AP) — Before he captained the Starship Enterprise, Patrick Stewart commanded the Shakespearean stage. And it was the stage to which he returned time and again, even after “Star Trek: The Next Generation” and “X-Men” made him a Hollywood star. The theater was where Stewart felt at home, and ...
SLOPAGANDA! How to combat MAGA’s AI manipulation POISONING politics
Slopaganda has spread far and wide in the midterm elections, and there’s only one question: Can it be stopped? Brandy Zadrozny, a senior enterprise reporter for MS NOW, provides answers in the latest episode of The Deep End, a digital video series about how disinformation is changing your world — from politics to health to culture. Her investigation covers the rise of AI-generated propaganda and President Trump’s enthusiastic embrace of it, the shadowy operatives who used it to swing an election in Florida, and Brandy’s own slopaganda experiment that shows why AI technology is in desperate need of guardrails that protect voters and democracy itself.
Oxford Science Enterprises targets UK’s first trillion-pound deep-tech company
Recent landmark exits in quantum computing and biotech show that the OSE’s model of building companies around university research, recruiting entrepreneurial leaders and providing patient capital produces results. The next step is taking the model global.
Zee Entertainment Enterprises Q2 2027 Earnings Call Is Live
Zee Entertainment Enterprises's quarterly earnings call has just begun.Live earnings calls are not yet supported in the mobile app. To listen and follow along in real time, open TradingView website in your browser.
America's Enduring Strength is Bigger Than Politics
On Election Day on Tuesday, Americans will cast their final ballots in the 2026 midterm elections. Regardless of who wins, free enterprise is what will keep America moving forward.
World Conference on Traditional Medicine 2026 delivers landmark outcomes for global health
Expert Committee Meeting members at the World Conference on Traditional Medicine 2026© WHOThe World Conference on Traditional Medicine 2026 concluded in Beijing on 18 October with several key outcomes aimed at strengthening global cooperation for health and well-being. These included the adoption of the Beijing Initiative on the Conservation and Sustainable Use of Traditional Medicinal Plant Resources, the promotion of the New-Era Shennong Herbal Project, and the publication of the Report on artificial intelligence empowering global traditional medicine development (2026). The conference also marked the establishment of the Global Alliance for Traditional and Integrative Medicine (GATIM) to foster international scientific collaboration.The biennial conference, held on 17–18 October at the China National Convention Center in Beijing, was co-hosted by the People's Government of Beijing Municipality, the National Health Commission, the National Administration of Traditional Chinese Medicine, and the National Medical Products Administration. WHO joined the Conference as co-sponsor, aligning with the country’s Healthy China initiative, which is overseen by President Xi Jinping. The initiative seeks to expand inclusive, high-quality health services, drive innovation in traditional medicine, and reinforce the principle that a healthy population is fundamental to national prosperity and strength. H.E. Li Qiang, Premier of the State Council of the People’s Republic of China, addressed the opening ceremony, emphasizing the critical role of traditional medicine as a unique force in safeguarding human health and advancing civilization. "Traditional medicine has followed a distinctive path of development through long-term practice," Li stated. He called on the international community to strengthen cooperation, make better use of global traditional medicine resources, and jointly address challenges to human health. Premier Li also highlighted the necessity of harnessing science and technology to accelerate the innovative development of traditional medicine. He announced that China would promote the digital and intelligent transformation of Traditional Chinese Medicine (TCM) and encourage active participation from both Chinese and foreign research institutions and enterprises. Furthermore, he expressed China's willingness to expand pilot programs to open up the medical service sector and work with all parties to advance the development of Belt and Road medicinal resources conservation centre.Addressing the Conference participants via a video message, Dr Tedros Adhanom Ghebreyesus, WHO Director-General, said, "This is not a choice between tradition and science. It is about bringing knowledge systems together through research, innovation, regulation and quality assurance. We need stronger evidence on what works, for whom, and under what conditions."Dr Saia Ma'u Piukala, WHO Regional Director for the Western Pacific, addressed the opening session, underscoring the importance of integrating traditional medicine into mainstream health systems in line with the call of the WHO Global Strategy on Traditional Medicine 2025–2034. In the closing session, Dr Shyama Kuruvilla, Director of the WHO Global Traditional Medicine Centre, expressed appreciation for the achievements of the conference, where different world views and scientific and programmatic advances were exchanged with a clear focus on practical action to advance traditional medicine for the health and well-being of people and the planet.The conference, held under the theme Technology Empowerment and Integrated Development: Advancing Traditional Medicine for All, featured a government forum, ministerial round table and eight parallel forums to advance all four objectives of the WHO Global Traditional Medicine Strategy 2025–2034: strengthening evidence, ensuring safety through regulation, integrating traditional, complementary and integrative medicine into health systems, and realizing its value through action across sectors.Over the two-day event, nearly 2000 participants, experts and scholars from 103 countries and areas, including 16 ministerial-level health officials, delivered over 150 high-level speeches and reports. Discussions covered key areas such as the integration of traditional medicine into international health systems, evidence-based development, drug regulation and the application of artificial intelligence in traditional medicine.
‘This can’t keep happening’: How divorced military spouses get trapped in foreign countries
Christina Fuller is an American former military spouse living without legal residency in southern Spain, where a custody fight has kept her and her son for years.
Leaders’ Impact on Health Is Often Overlooked
By Daniel Butcher Leaders influence not only how organizations perform but also the health and well-being of the people who work in them. That holds true for small companies, medium-sized enterprises,...
EDB Previews Horizontal Scaling for Postgres AI Distributed
As 86% of enterprise leaders expect an AI data system to be critical within three years, horizontal scaling gives the data layer room to grow, without sacrificing availability or control enterprises already trust. WILMINGTON, Del., Oct. 30, 2026 — EnterpriseDB (EDB) has announced a preview of horizontal scaling for EDB Postgres AI Distributed (PG AI […]
Longtime Autodesk Lawyer Takes GC Post at Business Software Alliance
Dana Steele joins BSA after nearly two decades at Autodesk, taking a legal leadership role at an influential trade association representing enterprise software companies as the industry navigates rapidly evolving AI and cybersecurity policy, amongst other risks.
Enterprise AI with a Consumer Funnel: What Anthropic’s S-1 Reveals About the AI IPO Era
Anthropic’s S-1 shows that its revenue model is predicated on wide consumer adoption of its products, while recognizing that the long-term effects of AI on users are not yet fully understood.
Monte Carlo Launches Bayes, an AI Teammate That Fixes Production AI Agents and Their Data
The agent trust platform delivers self-improving agents, so enterprises can scale trust at the speed of AI SAN FRANCISCO, Oct. 29, 2026 — Monte Carlo has launched Bayes, an AI teammate that brings its platform capabilities into a single system to autonomously detect, troubleshoot, and fix issues across agents and the data they run on. […]
Reflex raises $14M to help enterprises replace generic third-party software with custom business apps
Reflex raises $14M to help enterprises replace generic third-party software with custom business apps - SiliconANGLE
Attainable Luxury at Scale: ZLINE Kitchen and Bath Keeps Operations Moving With Spectrum Business
Spectrum Business’s Dedicated Fiber Internet and Cisco-powered Managed Network Services give ZLINE Kitchen and Bath the reliable, enterprise-grade connectivity it needs for same-day fulfillment and cloud operations, without adding IT headcount.
Why Is Automatic Data Processing (ADP) Expanding Its Small Business Payroll Reach?
Automatic Data Processing (NasdaqGS:ADP) and PNC Bank announced a new integrated payroll and HR solution for small businesses. The partnership embeds ADP payroll and HR tools directly into PNC’s digital banking platform for business clients. Small enterprises using PNC’s online banking are expected to access payroll, HR and cash management functions within a single interface. The ADP and PNC embedded payroll launch highlights how integrated finance and HR platforms are reshaping small...
Advancing SAP Lakehouse and New Data Fabric Innovations in SAP Business Data Cloud for the Autonomous Enterprise
Explore the new lakehouse and business data fabric capabilities that will help enterprises build AI agents act with greater autonomy.
Iraqi court hands down prison terms to 2 politicians and an oil official in graft case
BAGHDAD (AP) — An Iraqi court sentenced two prominent politicians and the head of a state-run enterprise responsible for distributing oil products to prison sentences in a corruption case, officials announced Thursday.
Tyler approves zoning change for proposed downtown entertainment area
The Tyler City Council on Wednesday approved a zoning change for a proposed downtown community-oriented retail and entertainment area and an agreement with AXON Enterprise for new police technology equipment. […]
Surf Air Mobility Provides SurfOS Business Update, Highlighting OperatorOS Commercial Launch and Enterprise Growth Priorities
LOS ANGELES, October 29, 2026--Surf Air Mobility Inc. (NYSE: SRFM) ("Surf Air Mobility" or "the Company") today provided an update on recent achievements and priorities for SurfOS, the Company’s AI-enabled software operating system powered by Palantir Technologies (NASDAQ: PLTR) ("Palantir").
China's Pinghu Strengthens Business Ties with Italy
PINGHU, China, Oct. 29, 2026 (GLOBE NEWSWIRE) -- Pinghu, a city in Zhejiang Province near Shanghai, is looking to expand its business links with Italy, with a focus on the luggage and apparel markets and the development of overseas warehouses for local enterprises. Pinghu Economic Development Zones Map The initiative is intended to help businesses in Pinghu explore opportunities in Italy and support their international trade activities. Fashion and related manufacturing industries are among Ping
GUEST COLUMN: Rebecca Bextel’s baseball bat has no place in Wyoming politics
Last week, I attended Rebecca Bextel’s town hall meeting in Lovell with a fairly simple purpose: I was there to listen, take a few notes and write an article for
Anthropic just launched tools to show companies what their AI spending is buying
The frontier lab is lifting the curtain on how users spend money on its models ahead of a planned IPO.
Local officials dig into new Trump claims about California voters
Election officials from across California questioned the accuracy of the federal government's methodology for finding noncitizen voters after the Trump administration threatened them with criminal charges last week.
Aggie B.A.T.S. gets ready for Halloween party
Aggie B.A.T.S., an inclusive alternative goth club, will co-host with KDVS this year’s Halloween Goth Gala at Watermelon Music’s Melon Ball, an all-ages, open-to-the-public, pay-what-you-can party.This year, the festivities feature
PENN Entertainment Appoints Gary Hunter Chief Information Security Officer
PENN Entertainment appoints Gary Hunter as Chief Information Security Officer to lead enterprise cybersecurity across its gaming, technology, and digital experiences.
UWO business students debut brand new coffee shop
UW-Oshkosh School of Business students debuted their Titan Gold Coffee enterprise and a coffee cart that provided students with free coffee sponsored by Chancellor Manohar Singh on Wednesday, Oct. 21. “At UWO, we want students to graduate with more than knowledge. We want them to have the confidence and experience to put that knowledge to...
Vocal Art Ensemble spins fairytale with ‘Bluebird’
This December, the Davis-based adult a capella choir Vocal Art Ensemble, will present a weekend of concerts designed to immerse audiences in an enchanted fairy tale.
UCD presents weekend of music at Mondavi Center
The UC Davis Symphony Orchestra and Concert Band kick off their 2026–27 seasons in a single weekend at the Robert and Margrit Mondavi Center for the Performing Arts.
Vanderbilt Health appoints new leaders for Office of News & Communications
Rebecca Warren has been named Chief Communications Officer, and Craig Boerner has been named Director of Enterprise News & Communications.
Contrary Collective Receives Women's Business Enterprise Certification
The Missouri Office of Administration has certified Contrary Collective, a woman-owned creative partner for healthcare and life sciences brands, as a Women's Business Enterprise (WBE). The certification formally recognizes Contrary Collective as a woman-owned business and may help the agency qualify for opportunities with organizations that prioritize supplier diversity.
'Star Trek' legend and sci-fi luminary Walter Koenig dies at 90
The man who portrayed the U.S.S. Enterprise’s Pavel Chekov has left us after a 60-year stage and screen career
What Anthropic’s potential IPO reveals about its business model, growth trajectory, customer base and path to profitability
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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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SPECIAL REPORT: Tough Business
A string of vacant restaurant buildings shows that many restaurants in the region are struggling — and several are closing By Stefan Yablonski [caption id=attachment_11132 align=alignright width=401] Smokey Bones Bar & Fire Grill on Route 31 in Clay closed its doors in April. It had been in operation since at least 2008.[/caption] By their nature, most restaurants have a limited life. An astonishing 60% go out of business within three years of opening, largely due to fundamental flaws in the planning of the operation. But even restaurants that experience years of success almost always face eventual closure. The restaurant business is very hard and because of both personal factors and external factors beyond anyone’s control, restaurants don’t last forever. For many restaurants, age is a big factor, according to Kenneth Walsleben, professor of practice, entrepreneurship and emerging enterprises at Syracuse University. “The owners have been at it for 20 or 25 years, if not longer, they want some time to themselves,” he said. Such was the case for Jocko’s Famous Ritz Diner in Oswego. Jocko Reitz bought the building in the late 1970s from Robert Shapiro. However, when he stepped away from the business, it eventually closed. [caption id=attachment_11142 align=alignright width=402] For nearly 80 years, Vona’s Restaurant passed through three generations of family in Oswego. It closed its doors on Dec. 31, 2025.[/caption] For nearly 80 years, Vona’s passed through three generations of family in Oswego. Vona’s Restaurant officially closed its doors on Dec. 31, 2025, when no family member wanted to take over. It is on the market. The Ruby Tuesday in Oswego operated for about two decades before permanently closing in April 2026. The restaurant faced multiple temporary health department closures in 2024 and 2025 due to persistent fruit fly and foundation pest issues. Management posted a final closure notice on the doors in mid-April 2026 and the building was put up for sale. The same pattern has been happening in Onondaga County. The big building once used by Smokey Bones Bar & Fire Grill on Route 31 in Clay remains empty, more than six months after the restaurant closed its doors in April. It had been in operation since at least 2008. [caption id=attachment_11130 align=alignright width=401] Ruby Tuesday in Oswego operated for about two decades before permanently closing in April 2026.[/caption] Just down the road from Smokey Bones, the popular Outback Steakhouse closed in August 2024. Another restaurant took its place, La Cocina Mexican Restaurant, but it closed shortly after. The building sits empty. Other very popular restaurants in the northern suburbs of Syracuse have recently closed. Among them, Fireside by the River in Baldwinsville and Primo Nestico’s Bistro Bar in North Syracuse. “I haven’t really paid attention to the Syracuse area. There has always been some turnover, but there probably has never been a tougher time to be a restauranter than now. It’s just brutal,” Walsleben said. In the first year, roughly 20% to 25% of restaurants close or change hands, according to the National Restaurant Association. [caption id=attachment_11122 align=alignright width=401] Outback Steakhouse closed in August 2024. Another restaurant took its place, La Cocina Mexican Restaurant, but it closed shortly after. The building sits empty.[/caption] “Depending on what statistics you look at, you’ll find that any business has a high mortality rate in the first year. That is just the nature of entrepreneurship,” Walsleben said. “There are certain ones that are getting hit hard while others are more fruitful. “And when you look at the restaurant industry you have to factor in labor which is a large part — typically a third of your expenses — and those costs are going up. And there is always turnover which means investing money to train people. Then you’ve got food costs, which is also a third of the typical restaurant budget. Since the pandemic labor has gone up 41%, food costs have gone up 35%. That’s a big tight squeeze righty there. That’s two-thirds of your budget that has gone up 35% to 40% in the last few years. And then the only way you can make that work is to raise the prices.” The National Restaurant Association reports menu prices are up 36% since February of 2020. In a survey released by the association, more than eight in 10 restaurant owners reported that their food, beverage and labor costs are now higher than before the pandemic. You have to deal with the reality of are the customers willing to pay for that? Walsleben added. Restaurants historically have very thin margins; their profit margin is about 5%. “You have a third that goes into food, a third that goes into labor and about 28%, 29% that goes into everything else — overhead, insurance etc. So that brings you down to your 5% leftover,” he said. “Everything is going up. Customer expectations are going up and people aren’t going to spend that much more. So, you have a tight squeeze here,” Walsleben continued. “Restaurants who use delivery apps, they pay a fee to those guys. Those guys don’t work for free. So, you can kind of see where the squeeze comes from.” Stuck in the middle There are pockets of opportunity; the two extremes of the market can make a profit. But the middle gets squeezed out. “If you are a low-end fast-food kind of place, there is room for that. People have changed their budgets. They are still going out, but they are not spending more,” according to Walsleben. “The high end remains positive. If you have a restaurant that brings a specific experience … a great food product or you are catering to high end customers who aren’t so budget conscious, those patrons are going to expect a high-end experience. They expect excellent food every time. They are expecting excellent service. If you can meet those expectations there is room for you at the top. It’s just the guys in the middle are getting the squeeze from both ends. Tough competition, customer expectations, costs are up. Menu items, you can’t raise the prices as much as you need to. That is why you are seeing a lot of restaurants baling out.” The ones that can adapt quickly are the ones who are doing OK. “Success is heavily dependent on the strength of a restaurant’s concept development and the planning of its execution. Eventually things aren’t always new. Things change. So, if you are in the restaurant business you have got to change your menu — keep things new, fresh and update your meals. It is very fickle industry. One year carbs are out, the next year berries are out. Everybody’s diet changes — constantly chasing the latest phase. You have got to adjust your menu and move with those modifications. If you have a static menu that you have used the last couple years that hasn’t changed except for the pricing, you’ve got a problem,” he said. A lot of times these buildings are singular purpose, he added. “You have a commercially viable kitchen and you got a seating area. There is not a lot of other businesses that cater to that type of a layout. So, it’s pretty common to see another restaurant slide in,” he said. One of the things a banker learns early on is you don’t lend money to restaurants … because they fail so quickly. It is very hard to predict who the winners will be. So, if you are a restaurant in addition to all the other challenges, it is very difficult to get loans, according to Walsleben. “You might work really well in the kitchen. But that doesn’t mean you are a great businessperson,” he said. “Restaurants can fail because the owner didn’t know how to manage things properly. There are a lot of challenges. “There is opportunity at the high end and the low end. But in the middle, that’s the death valley. There are just so many things working against you. You really need to have something that will pull people in and continue to pull people in because you to constantly have to change. Think about a theme and a product that is unique to the area people don’t travel that far these days you have to be able to deliver it in an innovative fashion and keep updating to keep people coming in the door.” Out of Business? How Fast? Do nine out of 10 restaurants fail in their first year, as commonly claimed? No. Survival analysis of 1.9 million longitudinal microdata for 81,000 full-service restaurants in a 20-year U.S. Bureau of Labor Statistics non public census of business establishments in the western US shows that only 17% of independently owned full-service restaurant startups failed in their first year, compared with 19% for all other service-providing startups, according to ResearchGate. The median lifespan of restaurants is about 4.5 years, slightly longer than that of other service businesses (4.25 years). However, the median lifespan of a restaurant startup with 5 or fewer employees is 3.75 years, slightly shorter than that of other service businesses of the same startup size (4.0 years). What Makes a Restaurant Successful? Opening and maintaining a successful restaurant is not as easy as creating a great menu and serving excellent food. It takes more than that, according to local restaurant owners who have been in business for decades in the region. They all agree that there are some guidelines to running a successful restaurant. • Quality food: Successful restaurants know exactly what they serve and who they serve it to. Delivering the same great taste every single time builds loyal customers. • Smooth operations: Friendly greetings and attentive staff make guests feel welcome from the moment they walk in. Hiring staff for personality and training for skill ensures reliable, caring service. • Smart marketing: Exceptional food and experiences naturally get people talking and sharing online. Word of mouth can help entice customers. Consistent social media and targeted advertising brings in new and repeat guests also. The menu is what keeps patrons coming back to Mimi’s Diner in Fulton, located at 201 N. Second St. “We locally source our produce and our meats. Our chicken and biscuits is a popular, popular special,” said Richard Tagliareni, the third-generation owner and general manager. “It’s all homemade. We have consistently served quality food.” His grandfather started the business more than 55 years ago. Mimi’s is engrained in the community. They cater to the community and are very involved in everything from the schools to local events. The first Mimi’s Drive-In opened in Mexico. Then a second in Oswego and then Fulton. Fulton’s Mimi’s is the only one left. “The last couple of weeks have been kind of slower than normal. October is usually a busier month for us People will start coming back around again. Also, the price of gas is affecting some things,” Tagliareni added. “We try to keep our prices in line. You go out to eat, you’re going to spend about a hundred bucks or so for two people for dinner. You come here to Mimi’s you are probably for two people for dinner it’s between $50 and $60. We are trying to keep our prices in line. We did have to increase our prices a little bit but things are looking OK.” For the Press Box, 29 E. First St., Oswego, it’s also about great food and a family atmosphere. “Our sports bar and restaurant was established in 1984,” said Alison Canale Scanlon, manager. “I think putting the time into everything makes a big difference and treating people like family when they walk into your restaurant. That’s how we have always operated since 1984.” “It’s the family oriented aspect,” she added. “Consistency, quality and presentation of our food — that’s the secret to a successful restaurant. We try to be very consistent with it. We treat people like family when they come in; because we know how we want to be treated when we go to a restaurant. We treat people the same or better.”
ECONOMIC TRENDS: Oswego County Launches Micro-Enterprise Grant Program
Small businesses will soon be able to apply for grants of up to $35,000 through a new program aimed at supporting local growth by Austin Wheelock | ooc@oswegocounty.org A strong, small business ecosystem is essential to a thriving local economy. Small businesses in Oswego County provide critical goods and services, create jobs and bring investment […]
Mom-and-Pop Business Owners Grapple with Harsh Times
Report shows small business owners in NYS less optimistic about the economy. Taxes, inflation, labor costs and competition from larger businesses are major concerns right now, they say By Aaron Gifford [caption id=attachment_11067 align=alignright width=300] Ashley Ranslow is director for New York state at The National Federation of Independent Business (NFIB).[/caption] Owners of mom-and-pop businesses in New York state have been less optimistic lately than their peers in other parts of the country, a recent report indicates. The National Federation of Independent Business (NFIB), based on a survey of 11,000 of its members in the Empire State, reported that taxes, inflation, labor costs and competition from larger businesses are major concerns right now. “Indeed, while taxes are a major problem in New York and the United States overall, New York small businesses notably are struggling more with the state’s onerous, multi-level tax burden,” Ashley Ranslow, NFIB’s director for New York state, said in the July report. Compared with surveys of business owners in other states, far fewer New York respondents rated their businesses as in excellent or good health. The report also said labor costs here are about 25% higher than the national average and are the “single most important problem” facing businesses. One respondent to the New York-specific survey complained that too much red tape, taxes and laws that restrict high-yielding companies have stifled their operation’s growth. Others said high disability and workers’ compensation insurance costs, alarming increases in utility rates and excessive building regulations are discouraging. Statewide, New York has a gross domestic product of $2.53 trillion (third in the nation, followed by Texas, $2.90 trillion; and California, $4.25 trillion), a per capita income of $90,500 (sixth) and an unemployment rate of 4.6% (34th). There are 2.4 million small businesses that employ 3.9 million people. [caption id=attachment_11112 align=alignright width=451] Member of the Greater Liverpool Chamber of Commerce gather at one of the several functions the chamber organizes monthly. “Everyone in this business community encourages each other to shop local. Everyone just wants to see each other succeed,” says Megan Wilmot, the chamber director[/caption] “New York state boasts one of the largest, wealthiest and most diverse cities in the world — and that’s still only about half the state’s population,” the report said. “In other words, the state is both its iconic city and so much more — geographically, demographically, economically. But New York is not without its challenges, challenges that include notably high taxes and other weaknesses that impact the small business environment,” it said. The report includes an optimism index that compares responses from New York (NFIB) members with those of their peers in other states across several categories. This ranges from plans to increase employment to expectations for higher sales, to plans to increase inventory or expand. The scores for Empire State business owners were lower in most categories, but they did score higher than the national average in noting that they have current employment openings, and that they are hopeful that the economy will improve. “The metrics so far paint a picture of a state with a series of challenges for small businesses, from a slightly below national average Optimism Index to a more seriously below national business health to very substantially below national Employment Index. What is going on with businesses that are creating these differences?” the report stated. In Central New York, the regional labor force comprises nearly 398,000 workers. The median household income here is $71,463, and the gross domestic product for the region last year totaled $61.3 billion, according to the CenterState CEO economic development and research organization. About half of the region’s labor force works for small and mid-sized businesses, although the number of people employed in that sector has decreased by 7% since 2010, according to CenterState’s 2026 economic forecast report. “While record-high employment in large-scale enterprises provides a strong foundation for Central New York,” the report says, “the long-term health of communities depends on a thriving small business sector to serve as a stabilizer.” Area employers identify several barriers to Central New York’s anticipated growth, including lack of specialized or skilled workers, government regulations, unaffordable housing options and long-term construction disruptions. In the city of Syracuse, the number of jobs in retail trade decreased by 1,500 or 4.7% between July 2025 and this past July. By contrast, the number of jobs in the leisure and hospitality sector increased by 2.5% or 700 jobs, in the same annual period, according to the New York State Department of Labor. Still, there’s plenty of interest for new businesses across Central New York. U.S. Census figures show that the number of applications for new businesses in all four counties increased significantly in the past 20 years. In Cayuga County, there were 324 applications in 2005 compared to 470 last year. In Madison County, the number increased from 385 to 480; Onondaga County, from 2411 to 4132; and Oswego County, from 553 to 836. Downtown Cazenovia is exemplary of Madison County’s trend: In the past year, the village welcomed a bait shop, a thrift store, a vitamin infusion center, a pizzeria, a Pilates studio and an Italian restaurant. A candy store is scheduled to open on the main drag in the months ahead. Oswego’s list of interesting new businesses in the past year includes a bubble tea shop, a hot dog eatery in Fulton, a specialty grocery store that features New York state products in Mexico, a beauty and esthetics studio in Hannibal and a hardware and farm supply store in Sandy Creek. In Onondaga County, the Liverpool area has also enjoyed a steady stream of new shops and eateries in recent years. That suburban community is unique in that, unlike neighboring communities, most of the restaurants are family-owned and not part of a national chain. [caption id=attachment_11116 align=alignright width=300] Megan Wilmot is the executive director of the Greater Liverpool’s Chamber of Commerce.[/caption] Megan Wilmot, executive director of the Greater Liverpool Chamber of Commerce, said independent business owners in her community maintain a strong sense of pride in holding their own against national companies. The chamber helps boost morale with red carpet events, ribbon cuttings, coffee hours and five-year anniversary celebrations for participating businesses. “We have built such a strong community,” Wilmot said. “Everyone in this business community encourages each other to shop local. Everyone just wants to see each other succeed.” In Syracuse, the downtown retail occupancy rate last year was about 82%, a slight improvement from 2024, according to the Downtown Syracuse Committee’s most recent annual report. Buildings with the largest amount of vacant space included The Galleries, One Park Place, and Equitable Towers, though not all of those spaces are designated for retail use. New businesses that opened in downtown Syracuse last year: Better with Time Clothing, Dakshin Curry & Biriyani, Havana Tattoo Society, Milano Bean Café, Miss Daisy, Pausa Coffee, Sweets for Babe, The Society CNY and Yafah Beauty Studio. The Destiny USA mall’s occupancy rate decreased from 80% in 2023 to 72% by the end of 2024, according to Integra Realty Resources. That leaves more than a quarter of the mall’s retail space vacant. “Looking ahead, the retail market is expected to see minimal rent growth, with vacancy rates likely remaining stable in community and neighborhood centers but continuing to rise in enclosed malls,” Integra’s report said. “New construction activity is low and redevelopment plans for former malls like Shoppingtown and Great Northern are still in the planning stages. The proposed Micron chip plant may spur development, but challenges remain in finding co-developers for large-scale projects.” Nationally, the U.S. Chamber of Commerce expects that small businesses will remain resilient and see their sales and revenues eventually improve. That organization, in a recent national survey, found that 25% of small business owners expect the economy to improve in 2027, while 45% indicated that they plan to increase employment in the next 12 months. And 69% said they believe their small business is in good shape and 70% said they are comfortable with their current cash flow. Thirty-one percent of small businesses reported raising their prices in July and 28% are planning to raise their prices within the next three to four months, the report said. Twelve percent indicated that this is a good time to expand their business. “Small business owners voice optimism for future revenues and hiring,” the report said. “High costs continue to be a wet blanket on reinvestment.” The NFIB reported in July that Main Street, despite gas price hikes, “is OK … for now.” Its small business economics trend report said sales across the country have been strong compared to last year, but continued inflation and higher prices from mom-and-pop establishments are causing some “cracks” to show. “If costs stay this high for much longer, reduced investment will have a tangible economic impact,” the report said. “The status quo is OK, but the outlook? The outlook is uncertain.”
OLE Health opens Community Clinic Garden
OLE Health has opened a new community garden at the Davis Community Clinic, expanding access to fresh food, nutrition education and wellness resources for patients and completing a network of
AFP.com
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