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NCMIC names Dickinson executive vice president of enterprise growth
NCMIC has promoted Tony Dickinson to executive vice president of enterprise growth, where he will lead the Clive-based company’s strategy to diversify its business and identify new growth opportunities. Dickinson will continue serving as president of NCMIC Finance Corp. and supporting the NCMIC Insurance Agency. The company said in a news release Dickinson will explore…
The Academy of Natural Sciences of Philadelphia: “A Glorious Enterprise” comes to a sad end
by Greg Mayer The Academy of Natural Sciences of Philadelphia, the oldest natural history museum in the United States, is closing. Drexel University, with which the Academy became affiliated in 201…
Tenet Adds First U.S. Exclusive Commercial Lender to Business Hub and Welcomes New West Coast Business Development Manager
Toronto, Ontario--(Newsfile Corp. - October 1, 2026) - Tenet Fintech Group Inc. (CSE: PKK) (OTCID: PKKFF) (FSE: P0T) ("Tenet" or the "Company"), an innovative analytics service provider, owner and operator of the Cubeler Business Hub, today announced that New York based commercial lender Premium Merchant Funding ("PMF") has signed on to be the first commercial lender on the Business Hub exclusively dedicated to lending and extending credit to U.S. based small and medium-sized enterprises.While..
Global Health & WASH: October 2026 Funding Opportunities (26 new opportunities)
41 opportunities on the Global Health & WASH page this cycle, 26 of them new. The health money on this page is mostly research money, and much of it is aimed at people early in their careers. Funder after funder, from the TANGO2 Research Foundation’s Research Pathways grants to the South African Medical Research Council’s Early Investigators Programme to the National Ataxia Foundation and Alex’s Lemonade Stand Foundation, is funding early-career investigators and the institutions that host them, with a clear tilt toward researchers based in or from the Global South, from AMBSO in Uganda to Kenya’s CONNECT-VAX network to Ersilia’s AI Incubator for African drug discovery. The money is organized by disease as much as by need: narrow foundations, the Parkinson’s Foundation, NTAP for neurofibromatosis, the RUNX1 Research Program for an inherited blood disorder, each run their own grant, so the question for an applicant is less which health problem you work on than which foundation owns your disease. The largest European cheques go to consortia only, with the European Innovation Council putting up to EUR €4 million behind a single healthy-ageing project and UNITE up to EUR €1 million behind each cross-border digital health team. Water sits apart, almost entirely in applied utility research: the Water Research Foundation’s cluster of USD $250,000 to $500,000 projects, each built around a utility problem from sewer laterals to reuse treatment. And the biggest single pot is public: HRSA is renewing community health center service areas with awards of up to USD $10 million each. This post is for paid subscribers. This helps support the time and effort it takes to curate and organize these opportunities. Subscribe To keep this accessible to everyone who needs it, we’re happy to offer pay what you can rates. You can find more details here. Open Opportunities 2027 Building the Field of Health Advocacy Grant, Georgia Health Initiative. *New!* *Closing soon!* Georgia Health Initiative, a nonprofit private foundation focused on health equity, is opening its 2027 Building the Field of Health Advocacy Grant to strengthen the organizations that push for healthier systems across the state. The Initiative treats advocacy as infrastructure, backing one-year projects that range from urgent responses to shifting federal policy to longer arc campaigns on housing, behavioral health, care access, and food security. It wants coalitions that elevate community voice, apply an equity lens, and arrive ready to deploy concrete strategies, and it deliberately seeks variety in issues, communities, and organizational size. The optional webinar and required lobbying training signal a funder investing in a durable field, not one grant cycle. The strongest fits are Georgia nonprofits and public agencies ready to turn advocacy readiness into systems change. Geographies: United States. Who can apply: Tax-exempt 501(c)(3) public charities, state or local government agencies, or coalitions/collaboratives using a 501(c)(3) fiscal sponsor, that work in Georgia on behalf of Georgians and align with the mission, vision, and values of Georgia Health Initiative. Only one application per organization, though an organization may be listed as a partner or subcontractor on multiple applications. Funding amount: Organizations can apply for up to USD $80,000 per project; the Initiative anticipates investing a total of USD $1.36 million. Targeted Sectors / SDGs: Governance, Policy & Advocacy · SDG3; SDG10. Deadline: October 2, 2026. Learn more and apply here. TDD Research Pathways Grant, TANGO2 Research Foundation. *New!* *Closing soon!* The TANGO2 Research Foundation, working with a founding gift from Tango2UK, is opening its TDD Research Pathways Grant to fund early-career investigators anywhere in the world who study TANGO2 Deficiency Disorder. The foundation is using this money to seed pilot work and to build a research community around a rare disorder that few labs currently study. It wants to back emerging scientists, clinicians, and trainees who will stay with this field, not one-off projects, which is why it requires a committed mentor and real institutional support and asks each applicant for a plan for future contributions. The design rewards promise and persistence over track record. The strongest fits are students, residents, postdoctoral fellows, and new investigators ready to commit to TANGO2 research. Geographies: Global. Who can apply: Early-career investigators worldwide, including undergraduate, graduate, and medical trainees, postdoctoral fellows, residents, and clinical or research fellows. Early-career investigators must hold a PhD, MD, or equivalent doctoral degree and be within 10 years of that degree or within 5 years of initiating rare disease research, engaged in postdoctoral research at an academic institution, teaching hospital, or nonprofit research institute. Currently enrolled trainees and transitional PhD candidates beginning a postdoctoral appointment at a nonprofit institution by July 1, 2026 are also eligible. All applicants must identify a qualified mentor with relevant TDD or rare disease research experience and demonstrate institutional support. Funding amount: Up to USD $15,000. Targeted Sectors / SDGs: Innovation, Science & Technology. Deadline: October 2, 2026. Learn more and apply here. Call for Expression of Interest (EOI): AMBSO Impact Research Initiative, Africa Medical and Behavioral Sciences Organization (AMBSO). *Closing soon!* The Africa Medical and Behavioral Sciences Organization is inviting expressions of interest for its Impact Research Initiative, which funds early-stage pilot studies and proof of concept work on priority health challenges. AMBSO is a Ugandan research organization backing bold ideas that can grow into larger studies, and its tracks span antimicrobial resistance, epidemic preparedness, artificial intelligence for diagnostics, HIV prevention, climate and health, cancer, maternal and child health, and non-communicable diseases. The small award size and direct-cost-only rule point to a funder that wants evidence rather than overhead, and that favors projects able to attract follow-on money or use AMBSO’s own research infrastructure. Eligibility runs worldwide, welcoming researchers and institutions inside and outside Africa. The strongest fits are researchers with a feasible pilot that generates policy-ready evidence. Geographies: Global. Who can apply: Open worldwide to researchers, academic institutions, and research organizations whose work aligns with generating high-impact health evidence. Independent researchers are eligible if affiliated with an academic or research institution. Doctoral students are encouraged to apply as part of a research team led by a faculty Principal Investigator. Community-based organizations and other eligible entities may apply. Projects may be implemented inside or outside Uganda. Funding amount: Up to USD $10,000 per project, with no minimum funding threshold. Targeted Sectors / SDGs: SDG3. Deadline: October 2, 2026. Learn more and apply here. Entrepreneurs for Resilience 2027 (E4R27), Swiss Re Foundation. *Closing soon!* Swiss Re Foundation is opening the tenth edition of Entrepreneurs for Resilience, which backs healthcare social enterprises expanding affordable, quality primary care for low-income communities across low- and middle-income countries. The Foundation is using catalytic, blended funding plus multi-year advisory to take risk out of scaling, helping proven models reach more people sustainably rather than stay stuck at pilot size. It looks to back brick-and-click enterprises that pair physical care with digital tools and build affordability through savings, payments, or microinsurance, ideally integrated with public health systems. Requiring earned revenue, real customer scale, and gender-inclusive teams signals that this is growth capital for commercially serious ventures, not seed money. The strongest fits are established, revenue-generating healthcare enterprises ready to scale access for underserved populations. Geographies: Global. Who can apply: For-profit and hybrid healthcare social enterprises serving low-income and underserved populations in low- and middle-income countries, using combined physical and digital (brick-and-click) healthcare delivery models. Applicants must demonstrate measurable social impact, generate at least 50% of income through earned revenue, have been established no later than December 2023, already serve at least 50,000 people with potential to scale, and have at least 30% low-income customers. Preference for gender-inclusive enterprises with at least one female founder or at least 30% women in management. Funding amount: Pilot funding of up to USD $45,000 for the 6-8 shortlisted social enterprises; up to USD $1 million in blended funding (up to USD $600,000 unconditional plus up to USD $400,000 conditional) shared among 3-4 finalists over a two-year implementation period; total programme funding approximately USD $1.3 million. Targeted Sectors / SDGs: Innovation, Science & Technology · SDG3; SDG5. Deadline: October 4, 2026. Learn more and apply here. Horizon HealthTech 2026, IIITD Innovation & Incubation Center. *Closing soon!* IIITD Innovation and Incubation Center is opening Horizon HealthTech 2026, a nine-month MedTech incubation cohort run under the aegis of BIRAC EDGE for founders building medical devices, diagnostics, surgical and interventional tools, or remote monitoring. The center is backing teams that already hold a validated proof of concept and want to reach a tested prototype, pairing each founder with a named expert and clinical validation through a hospital partner. What they seek to back is Indian health technology that can survive real clinical scrutiny and regulatory review, not slideware. The structure, with lab access, CDSCO guidance, IP support, and investor connects, signals a program built to make startups ready for follow-on capital. The strongest fits are early-stage MedTech teams with defensible IP and a working path from bench to bedside. Geographies: India. Who can apply: Early-stage teams/startups with a validated idea/proof of concept (TRL 3 onwards) working on medical devices, diagnostics, surgical/interventional technologies, or remote monitoring, holding IP or with potential to generate IP. Funding amount: No cash award amount is stated on the official program page. Benefits are in-kind: prototyping lab and equipment access, clinical/hospital validation (Max Healthcare), expert mentorship, CDSCO regulatory guidance, IP filing support, workspace, cloud credits and tools, and investor connects. Run under the aegis of BIRAC EDGE and builds a path to follow-on Government/VC/Angel funding. Targeted Sectors / SDGs: Innovation, Science & Technology · SDG3; SDG9. Deadline: October 5, 2026. Learn more and apply here. OpenAI AI and Teen Development Research Grant Program, OpenAI. *New!* *Closing soon!* OpenAI is opening its AI and Teen Development Research Grant Program to fund independent studies of how generative AI shapes the lives of young people ages 13 to 17. OpenAI wants a stronger evidence base on how teens actually use these tools and what that use does to their social and emotional development, so that product teams, policymakers, and regulators can act on findings rather than assumptions. It seeks work on emotion regulation, relationships, belonging, and the safeguards that keep teens safer, welcoming interdisciplinary teams and any methodology. That it will fund research whose conclusions may not favor AI providers, and prioritizes studies touching ChatGPT, signals a genuine appetite for credible outside scrutiny. The strongest fits are research groups grounded in adolescent development, well-being, and AI safety. Geographies: Global. Who can apply: Researchers aged 18 or older who are affiliated with a research institution or organization, and/or have significant experience relevant to child or adolescent development, well-being, human-computer interaction, AI impacts, or a closely related field. Multiple institutions may collaborate. OpenAI is seeking to fund research rather than for-profit initiatives and will not prioritize for-profit organizations. Funding amount: Individual research grants up to USD $1 million, totaling up to USD $5 million; maximum 10% of each grant for overhead or indirect costs. Targeted Sectors / SDGs: Social Inclusion & Community Wellbeing; Innovation, Science & Technology. Deadline: October 6, 2026. Learn more and apply here.
Family-run massage businesses fronted California commercial sex operation
Four members of a family-run criminal enterprise that prosecutors say used massage businesses as fronts for commercial sex operations and laundered the proceeds through banks, real estate, casinos …
How to scale AI without runaway inference costs
Learn how tokenomics, on-device AI, and smarter model orchestration can help enterprises scale AI sustainably.
Everywhere Millionaires: The Overlooked Main Street Businesses Behind America’s Economy
Explore “Everywhere Millionaires” and how Main Street business owners in construction, logistics, and food service may build enterprise value over time.
Massive raid on Atlanta area massage businesses leads to six arrests
Police say the investigation also resulted in the seizure of more than $400,000 in cash and eight vehicles believed to be connected to the alleged criminal enterprise.
Arkestro Co-Founder and Procurement Expert Edmund Zagorin Launches Latest Book, The Predictive Enterprise: How Superhuman Supply Chains Transform Global Business
/PRNewswire/ -- Edmund Zagorin, co-founder and Chief Strategy Officer at Arkestro, today announced the launch of his new book, The Predictive Enterprise: How...
OpenClaw slips on a suit to evade widespread business bans
Red Hat, Nvidia, OpenAI and friends are working on an enterprise edition they say is ‘Kubernetes for agents’
Microsoft rewires AI’s context layer for business
Presenting new capabilities for Fabric, Power BI, OneLake, and Azure SQL, the company took the stage in Barcelona to outline how its customers can connect data, business context, and AI to fuel the agentic enterprise.
The Family Business Advantage: Third Quarterly Power Breakfast of 2026 explores how family businesses balance legacy and innovation
Photo by GFBJAnother successful Power Breakfast is in the books. The Greater Fayetteville Business Journal hosted its third quarterly Power Breakfast of 2026 on Tuesday, Sept. 29. Local leaders and decision-makers gathered to network and learn from the panel about how established principles drive long-term stability while allowing for operational evolution. The panel featured Managing Partner of Luigi’s Italian Chophouse & Bar, Nate Ernst; Inside Sales at Hubbard Supplyhouse, Mary Grace Hurley; Chief Operations Officer for Copiers Plus, Drew Smith; and CEO of Holmes Security Systems, Stephen Wheeler. The panel was moderated by Lauren Willets, director of the Family Enterprise Center at UNC’s Kenan-Flagler Business School. Throughout the discussion, the panelists returned to a common idea: family businesses thrive when they preserve the relationships and values at their core while remaining open to change.Each panelist shared personal stories that carried practical lessons. Stephen Wheeler emphasized the role of relationships with customers and employees, saying, “What makes a family business successful today is relationships.” Mary Grace Hurley echoed Wheeler’s sentiment, describing relationships as a lasting inheritance, including a customer connection that began when she was young and continued into her working life. “If something’s given to you, that’s going to cost you too,” added Nate Ernst. He explained this philosophy by sharing that, in his view, earning responsibility builds credibility and confidence.Another hot topic was the idea of tradition versus change. For these businesses that have been around for a century or even more, it can be difficult to escape the “we’ve always done it this way” caveat, but these speakers emphasized how change has been an integral part of their growth and longevity. A family business can honor its history without being bound by it.“Innovation and tradition–they don’t have to be competing with one another,” shared Hurley. She pointed to changes in how businesses operate, including the adoption of computers and new management practices. Ernst stressed that adaptation is essential, while Wheeler described how his family’s electrical contracting business had evolved into a security-focused company. The details of the work may change, but identifying and upholding core values is key to embracing change while maintaining the character of a business. “I think it’s just important to remember why you started in the first place. What was your mission? What are your core values? And to reevaluate those,” shared Drew Smith.In addition to the first-hand accounts and wisdom shared by panelists, Moderator Lauren Willets recommended two novels during the panel for those seeking additional educational resources. Those two novels are “Hug of War: How to Lead a Family Business with both Love and Logic”by Cathy Carroll and “In the Company of Family: How to Thrive When Business Is Personal” by Melissa Mitchell-Blitch. Preparing the next generation requires more than handing over a title or company. Wheeler argued that future leaders need genuine passion and a vested interest in the business. The panelists were in agreement that succession is a process, and there is not one clear answer for how to perfectly prepare for it. Leaders must cultivate readiness, keep communication open and make room for the next generation to earn responsibility while being sure not to neglect the business in the here and now. “Today’s Power Breakfast was one of our best events yet! Between the passion and in-depth knowledge of the panelists, the great audience questions and the guidance and expertise of Mrs. Willets, the conversation was both engaging and informative,” shared GFBJ Publisher Faith Hatton. “A lot of small businesses in Fayetteville are family-owned and grown, and it’s great to be able to spotlight some of the businesses that have stood the test of time by strengthening the next generation of leadership and preparing them for ownership. I hope everyone received some inspiration and ideas that they can bring back to their own businesses and organizations!”We thank everyone who attended this Power Breakfast and hope you’ll all join us for the next Power Breakfast on Dec. 8. Details about the event will be shared on our social media and in future email updates. To learn about becoming a Power Breakfast sponsor, contact the Greater Fayetteville Business Journal at 910.240.9697 or marketing@bizfayetteville.com.
Domino Data Lab and EPAM Partner to Accelerate AI Adoption in Life Sciences
Combines Domino’s enterprise platform with EPAM’s global engineering to scale compliant AI applications and advanced analytics across global biopharma SAN FRANCISCO, Sept. 29, 2026 — Domino Data Lab, provider of the unified platform to build, scale, and govern enterprise AI solutions for the most consequential industries, today announced a strategic partnership with EPAM, a leading […]
NC Wesleyan establishes new school for sports and entertainment
The North Carolina Wesleyan University (NCWU) announces the establishment of a new School of Sports, Entertainment, and Venue Enterprise (SEVE School).
Will Republicans help Democratic underdog unseat longtime congressman?
Congressional hopeful Eric Jones is testing the theory that voters on the far left and far right have more in common with each other than with Democrats or Republicans.
Weight Watchers and Google Health Launch Weight Health Collaboration for Employers and Payers
Weight Watchers and Google Health Enterprise have launched a collaboration combining wearable technology, health insights and behavioral weight management, expanding Weight Watchers’ offering for employers, health plans and other payers. Key Investor TakeawaysWeight Watchers (NASDAQ:WW) is integrating Google Health Enterprise technology into select Weight Watchers for Business client programs.
Montana State University’s annual research spending grows 7% to top $300 million for the first time
MSU’s research enterprise is larger than all other public and private universities in Montana combined.
MediaDailyNews: Meta Forms Business-Facing AI Product Platform
Meta will begin selling its AI tools to businesses and developers with its newly founded "Meta Enterprise Platform."
Meta hires MongoDB CEO CJ Desai to lead new enterprise AI business
Meta hires MongoDB CEO CJ Desai to lead new enterprise AI business - SiliconANGLE
Meta's splashy new business AI hire offers yet another reason to bank on Zuckerberg
By poaching MongoDB's CJ Desai, Mark Zuckerberg shows he's serious about building an enterprise AI business.
Lee Enterprises acquires Argus Leader in 4-newspaper deal
The Argus Leader has a new owner.
NinjaTech AI Launches Enterprise AI Workforce Platform Using Open-Weight Models
Built to end runaway per-token AI costs, the platform deploys into the customer’s own cloud and data centers, so data never leaves their control PALO ALTO, Calif., Sept. 28, 2026 — NinjaTech AI today launched SuperNinja Enterprise, an AI workforce platform that puts AI employees to work around the clock inside the customer’s own cloud, on […]
Meta launches enterprise AI business seeking to cash in on vast spending
Chief executive Mark Zuckerberg opens a new front in his push to turn huge investment in the technology into profits
How to use cybersecurity to increase your business’s value
Strong cybersecurity can also boost business valuations and inspire buyer confidence. Both sides of the transaction should treat cybersecurity as a key factor in building enterprise value.
Space is everyone’s business: Economist Enterprise's 4th annual Space Economy Summit returns to Orlando
Space is everyone’s business: Economist Enterprise's 4th annual Space Economy Summit returns to Orlando
Meta is launching an enterprise AI business, sending MongoDB stock plunging
Chirantan "CJ" Desai stepped down from MongoDB on Monday to become Meta's chief enterprise platform officer, reporting to Mark Zuckerberg
Enterprise Spending Is Up in 2026, According to Emburse Report
Research shows transportation accounts for ‘disproportionate’ share of growth
High Tide Named to Report on Business Ranking of Canada's Top Growing Companies for Sixth Consecutive Year
High Tide Inc. ("High Tide" or the "Company") (Nasdaq: HITI) (TSXV: HITI) (FSE: 2LYA), the high-impact, retail-forward enterprise built to deliver real-world value across every component of cannabis, announced today that it placed No. 315 out of 375 companies listed on the 2026 Report on Business ranking of Canada's Top Growing Companies, with a verified three-year revenue growth rate of 66% over the 2022 to 2025 measurement period. Highlighting the Company's increasing profitability profile, Ad
Steve Sweeney to return to Middleborough for comedy show
Comedian Steve Sweeney brings his observational humor to the Alley Theatre in Middleborough for an October show.
‘Heart of the Beast’: A profound survival drama
Few films have so persuasively conveyed the bond between man and dog
See ‘The Science of Autumn Foliage’
GROTON — As summer fades and cooler temperatures arrive, New England prepares for one of its most spectacular annual displays: the changing of the leaves.
Continental offloads Australian tyre business to Chinese firm Tuhu
The deal is based on an enterprise value of A$403m and remains subject to regulatory approvals.
AI Presents Science with a ‘Ship of Theseus’ Problem
Opinion | AI can replace each part of the scientific process, leaving the enterprise recognizable but devoid of human judgment.
Farm succession stories: You can go home to the farm
An Ord, Neb., native and UNL agribusiness major found an enterprise that adds value to the farming operation and allows him to return to the family farm.
Default Enablement of Copilot Features for Copilot Business and Enterprise
We’re introducing a new global default policy for generally available GitHub Copilot features and supported client capabilities in enterprise and organization Copilot settings. For the next 28 days, you can…
Enterprise AI Wants Your Most Sensitive Data. VAST Says It Can Keep It Safe
Enterprises have plenty of data they would like to use with AI. The problem is that some of their most valuable data is also the hardest to use. Think of all the customer records, financial information, internal research and other sensitive data that can’t always be sent to an outside AI service. There is another […]
Women Inspiring Nevada: Vjollca Tarjan, Market President, Enterprise Bank & Trust
Vjollca Tarjan has built her life around three core principles: strong relationships, integrity and service.
Original 'Star Trek' USS Enterprise heads to MIT after resurfacing on eBay
The 11-inch model was lost for 45 years.
G&F brings science learning to life for Eastside second-graders
Second-grade students at Eastside Elementary recently traded their classroom for a hands-on science experience with the Wyoming Game and Fish Department as part of a new partnership designed to connect
Manetti Shrem Institute hosts two speakers
Quiltmaker Anna Von Mertens, who creates research-based work weaving together science, history, and materiality, and Sophie Weston Chien — an assistant professor of environmental design at the University of Colorado,
Forward Deployed Meteorologists: Bridging deep weather science and bespoke enterprise AI
Discover how Forward Deployed Meteorologists turn complex atmospheric data into rapid, enterprise-grade AI tools.
Florida Chamber’s free-enterprise roadshow rolls into Illinois
Gov. JB Pritzker finishes behind Zohran Mamdani for a tongue-in-cheek economic development honor.
Kayak Clarifies Position in Business Travel Marketplace
Kayak for Business is looking to broaden its appeal beyond its enterprise configuration with Blockskye, targeting SMEs as well as large clients. SVP Eva Fouquet told BTN's Elizabeth West the company also is pursuing a hybrid strategy, developing AI capabilities while maintaining traditional online booking options as traveler trust develops.
Akron launches program meant to expand small business access to city contracts
Akron officials unveiled the Small Business Enterprise program Monday. It's aimed at making it easier to compete and secure contracts for public projects.
Suozzi To Be Recognized as First Democratic Member of Congress To Be Awarded U.S. Chamber’s “Advocate for American Business” Award
GLEN COVE, NY — Congressman Tom Suozzi (NY-03) was recognized today by the U.S. Chamber of Commerce with its “Advocate for American Business” Award during a stop of the Chamber’s national Free Enterprise Express Opportunity Tour at Standard Bots in Glen Cove. U.S.
Trump administration gave firm with ties to ballroom donor the green light to do business with a sanctioned Russian bank
Private equity investor Konstantin Sokolov was also appointed to run a government enterprise fund.
Why NuoData Believes Enterprises Need a Different Way to Connect Data, AI, and Automation — Not Another Place to Store It
NuoData’s leadership team sat down to answer six questions about the platform’s origins, its position alongside Snowflake, Databricks, Microsoft Fabric and Google Cloud, and where they believe enterprise data and AI architecture is headed next. The answers have been lightly edited for length. NuoData describes itself as an end-to-end enterprise Data, AI and Agentic orchestration […]
PPG appoints Alex Lopez vice president, investor relations, operational finance
PPG (NYSE: PPG) today announced that Alex Lopez, currently PPG director, investor relations, has been appointed PPG vice president, investor relations and operational finance, effective Oct. 1. Lopez will continue to report to Jamie Beggs, PPG senior vice president and chief financial officer. Alex Lopez has been appointed PPG vice president, investor relations and operational finance. In this expanded role, Lopez will continue to lead investor relations while assuming responsibility for enterprise operational finance, with a focus on strengthening capital discipline, productivity governance and operational finance effectiveness. Lopez has held a variety of finance roles of increasing responsibility during his 20 years with PPG, including business-specific finance leadership as well as corporate roles. Prior to assuming the investor relations role in 2024, Lopez served as global finance director, Automotive OEM Coatings. He also supported the growth of PPG Comex when he relocated to
Should you trust an AI doctor? Relying on Gemini for health advice could be fatal
A fake disease, complete with absurd clues and a fictional laboratory aboard the USS Enterprise, was enough to fool AI chatbots—and even find its way into the scientific literature. The hoax exposes a deeper problem: AI can sound authoritative without knowing whether the information it has absorbed is true.
Brookfield Business (BBUC) Joins Reliance Deal. What Returns Can it Capture?
Brookfield Business Corporation (NYSE:BBUC) will participate in Brookfield’s proposed acquisition of Reliance Worldwide Corporation, announced September 15. The transaction values the plumbing-products manufacturer at approximately US$2.8 billion in enterprise value, excluding lease liabilities. The investment group plans to acquire 100% ownership. Funding will come through the Brookfield Capital Partners strategy and Brookfield Business Corporation (NYSE:BBUC). […]
Jacob Render heads to Darlington on loan
Leeds United can confirm Academy forward Jacob Render has joined Enterprise National League North side Darlington on a short-term youth loan.The versatile attacker has made seven appearances for Scott...
OpenAI vs. Anthropic: the agent platform gap
69% of enterprises using OpenAI's agent platform make it primary, vs. 38% for Anthropic's, per VB Pulse. Anthropic leads on consideration relative to users.
Who you gonna call? Mon-davi ...
The first two events in the Mondavi Center's all season are coming up in late September, with many more events scheduled in October and November.
Natsoulas Gallery presents two exhibitions
The John Natsoulas Gallery will open two new solo exhibitions this fall, presenting the work of nationally exhibiting artists Joy Stocksdale and Deirdre White.
Acceldata Launches xFactory for Building Governed AI Applications From Business Intent, on Federated Data
Enterprises can now create AI applications and agents — executing natively on open engines including Apache Spark, Trino and Kafka — and connecting to Snowflake and Databricks, so your data stays where it is. LONDON, Sept. 18, 2026 — Acceldata has announced the launch of xFactory, a private AI software factory to build, test and deploy […]
Engrams Embedding Entendre: Codesign for Efficient DRAM/SSD Offloading
Engram extends standard token embeddings with learned multi-token lookups. Recurring local patterns retrieve vectors directly, reducing the need to reconstruct them through attention and feed-forward layers. With Engram model architecture optimization, it allows for lower HBM capacity to be needed for models at the same quality. This does not mean there won’t be an insane demand for HBM but it just means that model architecture will continue to innovate around constraints. This model architecture design is naturally codesigned for parameter offloading: each token accesses a few embedding rows whose addresses depend on token IDs, not hidden states. The runtime can prefetch those rows from host DRAM while earlier layers compute, keeping the table outside HBM without transferring entire weight matrices. Our Memory model contains our latest estimates of quarter by quarter HBM, DRAM, & NAND supply and demand. Offloading frees HBM for model weights and KV cache, potentially supporting larger batches or more concurrent sessions. When DRAM becomes the next constraint, NVMe offers another tier. Recommendation systems already cache frequently or recently accessed embedding rows in faster memory while backing colder rows with SSDs. After NVIDIA roadmap had to change due to massively despec’ing Rubin Ultra from 1024GB to now ~200GB of HBM per chip, model architecture optimizations like emgram maybe helpful. Our DeepSeek-V4.1-Flash configuration uses roughly 189 GiB of memory for Engram. We replace it with a memory-mapped (mmap) file and measure serving performance with offload to SSD. Later on in our report, we will show our Engram offloading experiments along with the official InferenceX agentic inference serving results on Engram models like DeepSeekv4.1 Flash across all 6 NVIDIA GPU SKUs along with MI355X. Unsurprisingly, the CUDA Moat is still mogging MI355X on the ultra popular DeepSeekV4.1 Flash model. We also show how even on high capacity HBM SKUs, offloading emgrams to DRAM could result in even better performance for most of the pareto than keeping the emgram in HBM. Our benchmark has been widely reproduced, validated and/or supported by almost every major buyer of compute from Google Cloud to Microsoft Azure to Oracle, to Meta and many more. Furthermore, it has the support of the ML community including from vLLM, LMCache, SGLang, PyTorch, Huggingface and the support of major labs like OpenAI, MiniMax, ZAI, Qwen, Moonshot Kimi, etc. Star the InferenceX GitHub repository if you find the open-source benchmark and data useful!. InferenceX is the only inference benchmark in the world to have TPUv7, Jalapeño, Nvidia Rubin NVL72, AMD, and soon, SambaNova and Trainium. Due to how realistic AgentX scenario is to real world agentic inference workloads, AMD has committed to collaborating on MI455X UALoE72 too. DeepSeek did not release the original paper’s two trained Engram models. We replicated its setup on fineweb-edu using the released code and training hyperparameters, at an estimated 6E18 FLOPs per run. We observed the same U-shape scaling: Engram improved performance over pure MoE baselines. We also reproduced DeepSeek’s results, where earlier-layer representations with Engram resembled those of later layers. Like the original Engram paper, it is possible to probe Engram’s gate scores to see what n-grams DeepSeek-V4.1-Flash makes the most use of. Our gate scan finds names, code fragments, relational phrasing, and boilerplate. These examples prioritize interesting-ness over gate strength. One unexpected result was Wright : Ace Attorney. These examples suggest learned memory optimizes the training objective, not a judgment of which facts deserve storage. Licenses, bibliography fragments, API scaffolding, and website furniture can provide prediction shortcuts, so the value of additional Engram capacity may depend on what survives data preparation. This does not show that table capacity is “wasted”: the evaluation-corpus scan establishes neither training exposure nor the capacity occupied by each category. For offloading, strong gates do not identify cache-hot rows. Low gates do not automatically save reads either: computing the gate requires the retrieved key and undoes the performance gain of a fused kernel. Skipping reads would require a separate usefulness predictor before retrieval. In the original paper’s inference-time ablation, factual-knowledge benchmarks retained just 29–44% of their original performance, while reading comprehension retained 81–93%. This is due to the training–inference mismatch. The resulting degradation therefore measures this trained model’s dependence on Engram, not the performance difference between models trained with and without it. In our ablations, suppressing Engram worsens token likelihood across all evaluated domains, especially encyclopedia text and several code corpora. Surprisingly, GSM8K accuracy stays within measured run-to-run variation and removing Engram has no effect. Engram is not a detachable dictionary beside an unchanged MoE. Removing it changes downstream features and expert selection. We tested whether rerouting hurts or compensates by holding tokens fixed in a teacher-forced experiment on CRUXEval, a code-reasoning benchmark of small Python functions where the model predicts a function’s output from its code and an input, and scoring the reference answer. Removing Engram raised answer loss from 0.2848 to 0.3093 bits/token. Forcing the ablated model to use the original Engram-on expert choices made it worse still, at 0.3375 bits/token. Rerouting partially compensates for the missing memory. Memory features and expert selection work together, rather than following a clean “memory stores facts; experts reason” division. On the same CRUXeval, removing Engram during either phase reduced accuracy and increased generated tokens; removing it throughout produced the largest changes. Keeping Engram for prefill leads to more correct answers than keeping for decode likely due to semantically richer KV cache transferred to decode workers, allowing it to mitigate some of the performance loss. Engram’s table is large, but each lookup is small. DeepSeek-V4.1-Flash requests 24 rows at each of two Engram layers, about 12.4 KiB per processed token position across the model, or 3.1 KiB per GPU when split across four GPUs. Currently as of Day 7 since Model Release, MI355X is still 2-4x worse performance per dollar compared to B200 even when normalized by Mi355X’s lower TCO. Our full total cost of ownership breakdown comes from our AI Cloud TCO Model along with monthly market surveys of over 100+ gpu clouds & gpu cloud customers. On the Day 0 release of DeepSeekv4.1 Flash, NVIDIA vLLM works out of the box with zero issues across all 6 SKUs: H100, H200, B200, B300, GB200, GB300! This was thanks to the amazing work by the NVIDIA & Interact teams! In comparison, AMD vLLM did not work on day 0 for DeepSeekv4.1 Flash.Source: SemiAnalysis InferenceX AMD’s vLLM documentation points to using vllm/vllm-openai-rocm:deepseekv41-flash-0909, but from hour 0 of the model release to hour 23, AMD has not publicly released the image. AMD claims, “SPEED IS THE MOAT,” yet it has still not released it by the 23rd hour. We wish that, going forward, the AMD team has a better process for hour 0 model releases. Eventually when they did publicly release for “day 0” image support, performance-wise, it is currently up to 14.8x worse perf per dollar than H200 and up to 42x worse perf per dollar than B200/B300. The power of the CUDA MOAT is NVIDIA’s collaboration with its massive 6 million-developer community ecosystem including most of the vLLM & SGLang & Tokenspeed maintainers which means that CUDA is optimized on day 0. Overall, AMD did make significant improvements but the performance per dollar is still currently 2-4x worse than B200. AgentX Engram DRAM Offloading Improving Performance The HBM and DRAM offload use the same GPU kernel to select and dequantize rows. With HBM, it reads GPU memory; with Unified Virtual Addressing (UVA), it reads pinned host memory directly. Both support full decode graphs. Moving the table into HBM accelerates only the sparse lookup, leaving decoder computation and communication unchanged, resulting in little overall benefit while consuming memory otherwise available to KV cache. Another benefit of Engram offloaded to DRAM which means you can reduce the communication overhead by using less HBM GPUs per replica. For example, when enabling Engram offloading on B300, we are able to switch from TP4 to now TP2 which improves the pareto curve by up to 1.6x. When iso-model quality, less HBM is required as the engrams could be offloaded to host DRAM. Thus HBM bandwidth matters way more than HBM capacity. For inference workloads where memory bandwidth matters the most, 4-hi HBM provides the best $/bandwidth and therefore lowest cost per token. If China continues to make more and more revolutionary model architecture innovations, soon it could potentially 0Hi HBM stacks. [ ](https://newsletter.semianalysis.com/p/long-live-the-short-king-why-4-hi) [ Long Live the Short King: Why 4-hi HBM Wins ](https://newsletter.semianalysis.com/p/long-live-the-short-king-why-4-hi) Myron Xie, Bryan Shan, and 3 others · Sep 13 [ Read full story ](https://newsletter.semianalysis.com/p/long-live-the-short-king-why-4-hi) Moreover, on B300 and week-0 stack, moving the Engram table back to HBM did not improve results and stay within run-to-run variance. This is a result of the work optimizing DRAM offload, such as async, and overlap. SSD Offloading On B200, we created a unoptimized vLLM fork and stored the Engram tables in memory-mapped files on local SSDs. File backing lets the OS reclaim table pages when other applications need RAM. Pages already cached in memory can be served without reading the SSD again. Furthermore, note that we were unable to turn on GDS The unoptimized SSD implementation changes how rows reach the GPU. It copies row IDs to the CPU, deduplicates them, gathers the requested rows into pinned buffers, copies those rows back to the GPU and dequantizes them. This work runs between segments of the GPU execution graph. Native UVA performs row selection and dequantization directly on the GPU, avoiding the CPU round trip. A warm filesystem cache removes physical SSD reads, but leaves the coordination, row gathering and transfers. This is why a file already cached in RAM can still perform worse than a pinned DRAM table. The comparison measures the whole serving path; it does not separate the time spent on each of these operations. B200 DRAM dominates both measured SSD serving curves in total tokens per dollar and P90 interactivity. Near 125 tokens/s/user, DRAM delivers 121 million total tokens per dollar versus 52 million for SSD. For production serving, SSD offloading is likely not worth the tradeoff. On the B200 configurations we measured, SSD offloading loses on both measures: every observed SSD point has a DRAM alternative that delivers higher P90 interactivity and more total tokens per dollar. The only points where Cheaper storage does not automatically produce a cheaper inference service. Moving Engram to SSD leaves the same four expensive GPUs and the rest of the server in place. Reclaiming RAM only creates an economic benefit if it enables a cheaper server configuration or additional useful capacity. The current unoptimized path provides neither benefit, and the filesystem cache still consumes RAM when table pages are resident. Next we will look at the mechanisms and specific implementation of ngrams from DeepSeekv4.1 Flash, LongCat, Qwen3.8 Flash Next.
UCD marks Pitzer Center’s 10th year
From concerts to rehearsals, to lectures on musical literature, the Ann E. Pitzer Center is a home for music at UC Davis. On Oct. 1, the center marks its 10th
Microsoft’s AI playbook shows businesses how to turn experiments into results
Microsoft’s new Frontier Playbook outlines how businesses can move beyond AI experimentation and turn artificial intelligence deployments into measurable business results, including greater productivity and time savings, Inc. reports. The guide draws on more than 100 of Microsoft’s internal AI projects across its corporate functions, commercial organization and engineering teams. It comes as enterprise AI […]
Anthropic launches Claude Code Projects, an ‘always-on’ conversation that remembers and delegates your long-running dev work
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The Execution Gap is a Metadata Gap
Enterprises are treating stalled agent projects as a readiness problem. The benchmark evidence points somewhere less comfortable: hold the model constant, change only what surrounds it, and performance on real enterprise data still moves by twenty points. BigDATAwire Managing Editor Ali Azhar’s March 2026 report on Deloitte’s State of AI 2026 closed on a sentence […]
Gering adds zoning restrictions for adult entertainment enterprises
The Gering City Council this week approved a zoning ordinance that would limit where adult entertainment businesses could operate in the community. At the start of a public hearing Monday on the…
Gering adds zoning restrictions for adult entertainment enterprises
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Alation CEO Warns That Smarter AI Agents Can Still Get Your Business Wrong
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Vitality and Google Expand Technology Partnership to Bring AI-Driven Health Platform to the United States to Incentivize Healthier Behaviors
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Assort Health Expands Direct EHR Workflow Automation for Practices Using NextGen® Enterprise EHR
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Gering adds zoning restrictions for adult entertainment enterprises
The Gering City Council this week approved a zoning ordinance that would limit where adult entertainment businesses could operate in the community. At the start of a public hearing Monday on the…
Gering adds zoning restrictions for adult entertainment enterprises
The Gering City Council this week approved a zoning ordinance that would limit where adult entertainment businesses could operate in the community. At the start of a public hearing Monday on the…
Snap targets enterprises with Salesforce, Nvidia AI tools for augmented-reality glasses
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Snap tries to bring AR glasses to enterprise market, partnering with Nvidia, AWS and Salesforce
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Windows 11 KB5124008 update breaks domain trust for some users
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Detroit CIOs and CISOs to Examine AI Governance, Cybersecurity Resilience, Enterprise Transformation and the Rise of the 'CEO of Technology' at HMG Strategy’s September 24 Summit
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Art Farm exhibition opens at The Barn Gallery
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Sinfonia Spirituosa goes for Baroque on Sunday
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EnKore presents delightful ‘Honk’
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Small businesses are putting a premium on predictability. Across more than 6,000 small and medium-sized enterprises (SMEs) surveyed in 18 countries for
Mastercard’s Dreamonomics Report Finds Small Business Owners Are Redefining Growth for a More Demanding Economy: 68% Prioritize Stability Over Speed, 89% Want More Digital Tools and 71% Say Cyber Protection Is a Priority
To support the needs of small businesses, Mastercard Collection for Business launches today bringing together business-focused benefits, protections and experiences Small businesses are looking ahead with ambition — but they are also preparing for the pressure that comes when opportunity arrives. Mastercard today introduced Dreamonomics, a new global view of the forces reshaping small and medium-sized enterprises (SMEs) perceptions and approach to growth. The research shows that SMEs are redefining growth as controlled momentum: 68% prioritize stability and predictability over fast growth, 54% actively avoid unnecessary financial risk and 61% are focused on deepening customer relationships rather than reaching as many customers as possible. Studio Mouvoir Headline Findings from the new Dreamonomics Report Stability is overtaking speed: 68% of SMEs now prioritize stability and predictability over fast growth, while 54% say they actively avoid unnecessary financial risk. Customer depth
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GE HealthCare Announces CareIntellect for Operations, Helping Health Systems Optimize Resources and Expand Access to Care
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Massasoit 'transformed' as new science building opens
Learn how Karolyne Salas, sophomore at Massasoit, is using a lab in the new building to study bees.
Massasoit 'transformed' as new science building opens
Learn how Karolyne Salas, sophomore at Massasoit, is using a lab in the new building to study bees.
DA Khan Demands Financial and Business Records to Unravel Slumlord's Paper Trail
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UC Berkeley welcomes rising stars in math and physics
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Physicist proves famous 'Star Trek' combat strategy works
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Virtuix Provides Business Update Highlighting 3X Omni One Order Growth and Expanding Defense and Enterprise Opportunities
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Stop Automating Old Processes. Design New Ones Instead.
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Kyndryl completes acquisition of Healthcare IT Leaders, LLC
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Physitrack Selected by US Metropolitan Healthcare System for Enterprise-Wide, Epic-Integrated Digital Rehabilitation
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Back up science by adding service for people in need
Residents of Houston’s Fifth Ward live adjacent to documented creosote contamination. The neighborhood is 94 percent non-Hispanic Black. It is a state-designated cancer cluster. Those who live there do not
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William Shatner recalls original “Star Trek” pilot being scrapped and completely recast: ‘That’s really different’
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The politics and possibilities of ‘AI could kill us all’
I found myself fielding a lot of questions from folks who don’t usually talk much about AI this week. They were mostly along the lines of “do you think AI is going to kill us all?” or “how worried should I be about this human extinction stuff?” Motivating this wave of existential anxiety was the highly dramatic resignation of now-former Anthropic employee Jacob Coxon, who quit his job while publicly sharing his concerns about safety practices at the leading AI companies. More specifically, he declared that almost everyone at OpenAI and Anthropic, the leading AI labs, believes that there’s a decent chance the AI systems they’re producing could “kill us all” by the end of the decade, and the companies aren’t “acting responsibly.” Other AI safety researchers, including those still employed at Anthropic and OpenAI, all confirmed that yes, Coxon is correct, they’re all worried that their company’s products might prove fatal for the entire human race as well. Two more AI employees quit and joined the chorus. Now, the warning shot has been covered everywhere from the Wall Street Journal to Fox News to WIRED to the Guardian. I understand why all this sounds scary, but my response to those who have asked, has generally been: No, you don’t need to worry that AI will kill go rogue and kill us all. But that does not mean we shouldn’t worry, period. Far from it. The companies building AI products are now among the wealthiest and most powerful entities in the world. And they very much are building enormous engines of mass surveillance, extraction, and automation. They can and have allowed their AI systems to carry out felony hacks of other companies, provided the government with autonomously generated kill lists, and sold enterprise technology to firms around the world that is explicitly intended to replace jobs. But “AI” has done these things not because they have all-powerful minds of their own but, ultimately, because people have programmed, calibrated, and directed them to. In other words, it’s not AI we need to worry the most about. It’s the people and corporations working to profit from and gain power by deploying it. The technology is sophisticated, sure, and, especially in cybersecurity contexts, potentially disruptive to plenty of existing systems. But if we want to stop this predatory, profiteering, and extractive form of AI—and it’s worth noting that at this point, most people do—we absolutely can. A quick note/plea: I can only do all of this with the support of readers like you, so if you find value in independent, critical tech journalism and analysis, please consider becoming a paid subscriber. I want to keep as much of this un-paywalled as absolutely possible, and I need your support to do so. Many thanks to all who continue to chip in, it’s very much appreciated. Onward. Subscribe First, some context: AI industry folks like Coxon have been discussing the prospect that AI will destroy humanity for years. Even before the beginning of the AI boom, many working in the industry, from the executive staff to the rank and file researchers, have obsessed over ‘x-risk’, or the possibility that AI will become sentient or semi-sentient and move one way or another to exterminate humanity. This is ostensibly why Elon Musk bankrolled OpenAI in the first place, and is the grounds for his lawsuit alleging OpenAI betrayed its charter by abandoning its nonprofit status to become a commercial enterprise. Many AI engineers and startup founders have calculated their own personal p(doom), or the probability that the tech product they are working on will initiate an actual humanity-extinguishing apocalypse. 10-25% p(doom)s are pretty common. (I wrote about a long weekend I spent among these folks at one of their top conferences here, to give you an idea of their ideas and belief systems.) Sam Altman himself drove the narrative of the imminent rise of a super-powerful AI, or artificial general intelligence, to prominence by declaring that the technology he was building posed an existential risk to humanity. This idea is in other words baked into the DNA of modern AI companies and into the products they engineer. It’s also why the industry is routinely accused, by myself and others, of “doom marketing,” ie, using such proclamations and framings to impart the sheer power of the technology behind your product onto investors, partners, consumers, and the state. Some ambient understanding of this tendency may have helped prevent the press from repeating the claim every time one of the x-risk folks made it over the years, including when they quit their jobs at AI companies while doing so. Yet Coxon’s AI x-risk alarm has broken containment, as they say, and has exposed the idea to the mainstream media once again. This has happened, I think, for a number of reasons. First, when AI CEOs were going around saying AI might kill everyone in 2023, their companies were well-capitalized, but not nearly to the extent they are today. They were more easily dismissed as eccentric geeks of the sort that Silicon Valley is supposed to produce. Now, not only do their products have much greater market saturation, but people are more aware of a) the often unethical ways the executives and companies comport themselves b) the other adverse impacts of AI that have already arrived, and c) the physical cost of building these systems, particularly when it comes to data centers. Finally, toss in the constant stream of headlines in 2026 about AI models going rogue or potentially upending the world’s infrastructure. [ ](https://www.bloodinthemachine.com/p/with-the-backlash-to-data-centers) [ With the backlash to data centers, Flock and AI glasses, a mass opposition to big tech is underway. Silicon Valley is in denial. ](https://www.bloodinthemachine.com/p/with-the-backlash-to-data-centers) Brian Merchant · Aug 27 [ Read full story ](https://www.bloodinthemachine.com/p/with-the-backlash-to-data-centers) As a result, general sentiment was already overwhelmingly skeptical of AI and its overlords, so the table was pretty well set for someone to come along and say ‘just a reminder, the companies that are building the product that promises to take your job and leave a data center in your neighborhood also think that it might exterminate the human race’ and get a strong reaction from the media and the public. The question is: Should we understand this stuff as hype, strategically fanned to feed already swelling valuations? Is it doom marketing? Genuine cause for alarm that the infrastructure that undergirds modern life is facing a novel threat vector? Or reason to be sincerely worried that AI companies are amassing too much power, and that their products are genuinely dangerous? The answer, I’m afraid, is “yes.” Let me try to untangle all of this a bit, because arguments over how to navigate this moment are extremely heated right now, as they are essentially arguments over how to approach the politics of AI at a moment where there may be a unique opening for action. Those sympathetic to AI alignment concerns and x risk arguments—which increasingly includes a faction on the left who want to shut down AI over safety concerns—argue that people who dismiss AI as all hype have their heads in the sand. Meanwhile, critics of the x-risk narrative—which I might note includes a cadre of investors and tech folks on the right, too—argue that it is hype and can be used to further inflate valuations or for pursuing regulatory capture. The challenge is that many feel that dismissing AI as just hype or purely marketing also diminishes the urgency of taking on the AI industry as the novel and threat to labor, civil society, and the public sphere it is; others that by accepting the industry’s own terms, we imbue it with undue power and enable it. But let’s be clear: Declarations that AI is so powerful it might end the world are a kind of marketing, and anyone who says otherwise is just as off base as those who say that’s all that it is. If you don’t think that these sub-trillion dollar companies have higher-ups who noticed that when their founders talked about super-powerful dangerous AI they got spikes in media interest and phone calls from investors, or that those founders didn’t notice that themselves, and lean into certain narratives to advantage their products, then I don’t know what to tell you. Not all marketing is a Pepsi ad campaign with a celebrity spokesperson. Yet confronting the AI industry should certainly be considered an urgent project. Do I share the x-riskers’ fear that out-of-control, super-intelligent AI agents might end the world? I do not. I’ve read a good deal of AI extinction literature over the last couple of years and I have not come across a credible, step-by-step documentation of how exactly AI might move from self-recursively improving AI to killing every single human on the planet. Most of what I’ve read seems predicated on a sort of reverse Ian Malcolmian logic: Eventually, it becomes smart enough and AI, uh, finds a way (to exterminate humanity). Are the AI companies also overstating and dramatizing what their products can do? Yes, pretty much all the time. They’re in a knife fight for market share and are trying to win customers and government contracts before their investors come knocking. And yet. They have concentrated enormous amounts of compute, have extensive data collection and surveillance capacities, have inserted themselves into the state in numerous capacities, including military kill chains, and they are being run by egomaniacal billionaires who are rushing to monopolize an entire new market. The way I think about their most recent frightening-seeming exploits is not as a “swarm of rogue AI agents building a new civilization” or whatever, but as corporations with a hitherto-unimaginable amount of compute at their disposal recklessly experimenting with automation programs, completely unafraid of any repercussions because we have been unwilling or unable to impose any on them. So I think we should welcome any newfound imperative to hold them accountable. I also think that ultimately, the AI critics, Pause AI folks, leftists, doomers, effective altruists, and, honestly, most of the public, want a lot of the same things: legitimate checks and limits on AI companies’ power, actual transparency into what the companies are doing, and for more of AI to be under public control. (Ultimately, a lot of what animates the x-risk fears are rooted in just that: a fear of losing control.) How we move towards all this, exactly, is the question of the day, and while there’s much to be argued over in terms of building a viable political platform to challenge the AI industry’s power, I do want to cast a vote against one particular approach. Not to pick on Chris here, as there are a lot of folks out there proposing stuff like this, and the policy ideas actually stem from AI safety groups. But not only would this be challenging to land politically (I can already hear the ‘China will beat us to AGI’ calls) and all but unworkable in practice, this approach is a) far too limiting, b) fails to address the current harms caused by AI and c) would likely only wind up serving Anthropic and OpenAI; it’s what regulatory capture looks like in action. Full model transparency is the floor for what should be on offer here. If these companies believe their products will kill us, the very least we deserve is to know how. It’s in the public interest. I would also argue we might get a lot of the way to stopping any currently envisioned robot apocalypse simply by forcing AI companies to assume liability, and to submit to the full brunt of the law. If Sam Altman were liable to be charged with a felony for approving the hack on Hugging Face1, if Google was forced to pay defamation fines each time it published a false and injurious AI Overviews, these companies might suddenly find cause to restrain their models’ output, and we might hear less about rogue AI. We would need to introduce new frameworks and available tools for tracking automated lawbreaking, to be sure, but I’d wager that little would frighten the AI companies more than actually being held accountable for what their products enable. To that end, Illinois has passed an AI liability law, which the industry fought tooth and nail, and Florida is considering one. The next steps would be towards moving AI under public control; again, it’s only reasonable, since everyone, not just AI insiders, should get a say over how a technology whose developers say might kill us is developed and deployed. Dismantling the whole industrial project as currently structured should be on the table, too, pending democratic input. But that’s for another post. For now, suffice to say that while I won’t be losing any sleep about an AI-enabled extinction event, Mr. Coxon and co. have given us an opportunity to underscore the urgency of the clear and present damage AI companies are doing, the extreme power they wield and the extent to which they hold themselves unaccountable, and the abundance of political capital there is out there for taking them on. Subscribe 1 Purely speculative! I do not know if he did or not.
Bhutan business bets on hazelnuts for farming future
Farmer Pema Dema had never even heard of hazelnuts when she was first recruited to begin growing them on her land in Bhutan's Thimphu region.Pema is one of thousands of Bhutanese growing hazelnuts as part of a social enterprise hoping to help subsistence farmers develop a high-value crop.
Performers’ Circle features Putah Creek Crawdads
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Multi-generational business expertise: How legacies in local businesses find sustained success
Join us Sept. 29 for our third Power Breakfast of 2026 as business leaders share how they leverage decades of institutional wisdom. The Greater Fayetteville Business Journal invites you to join us for our third quarterly Power Breakfast, The Family Business Advantage: How Third-Generation Leaders Drive Longevity and Innovation, where business owners, executives and community leaders will come together to explore how multi-generational leadership creates lasting success. We are proud to welcome CEO of Holmes Security Systems, Stephen Wheeler; Director of Communications for Copiers Plus, Drew Smith; Inside Sales at Hubbard Supplyhouse, Mary Grace Hurley; and Managing Partner of Luigi’s Italian Chophouse & Bar, Nate Ernst, as our featured panelists. Representing the third generation of leadership within their family businesses, each brings a unique perspective on honoring decades of tradition while embracing new ideas, technologies and strategies that drive long-term growth. Together, with moderator Lauren Willets, Director of the Family Enterprise Center at UNC’s Kenan-Flagler Business School, they will share the challenges, opportunities and lessons learned from leading established organizations into the future.“Growing up in a family business gave me a unique perspective on what business can be. I saw the pride my grandfather and father took in knowing someone was a Copiers Plus customer, and the deep responsibility they felt to support our employees and the families who depended on the business. Seeing that sense of connection firsthand is what drew me to the business, and the legacy they built continues to drive me today. I’m excited to be part of the conversation about how family businesses can honor what previous generations built while continuing to grow and evolve for the future,” shared panelist Drew Smith. “We are so excited to welcome our panelists highlighting long-standing Fayetteville family businesses. This theme has certainly piqued the interest of the business community even beyond Fayetteville. I’m excited to pass the moderator baton over to Lauren Willets. With her background and expertise in the subject, she’s sure to unlock some great talking points and perspectives that will keep the conversation fresh and interesting to our guests. “We are so excited to welcome our panelists highlighting long-standing Fayetteville family businesses. This theme has certainly piqued the interest of the business community A third-generation family business is quite an impressive accomplishment, and we look forward to examining their secrets to a successful succession at this upcoming Power Breakfast!” shared Greater Fayetteville Business Journal Publisher Faith Hatton. Join us at the Cape Fear Botanical Garden for an inspiring morning of networking, thought-provoking discussion and actionable insights into the power of continuity, strategic evolution and visionary leadership. Whether your organization is family-owned or simply focused on creating a lasting legacy, you’ll leave with ideas that can strengthen your business for generations to come.To learn about becoming a Power Breakfast sponsor, contact the Greater Fayetteville Business Journal at 910.240.9697 or marketing@bizfayetteville.com. Tickets are on sale now. Reserve your seat by going to fayettevillepowerbreakfast.com.
Tribal Launches Campfire, Letting Business and Technical Teams Build on Salesforce Together
NEW YORK, Sept. 10, 2026 (GLOBE NEWSWIRE) -- Tribal’s Campfire is a shared canvas that lets enterprises build and change their own Salesforce or...
Build business apps with Copilot Cowork and Copilot Studio
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