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David M. Shribman: The key to midterm victory: Being hated less than the other guy
LAMBS GROVE, Iowa — Move over, soccer moms, forget about NASCAR dads and dismiss even the “bunch of childless cat ladies” that JD...
International Business Machines (IBM) Unveils Real Time App Security Collaboration
International Business Machines (NYSE: IBM) announced a new collaboration with Zscaler and Red Hat to tighten application security for enterprise clients. The joint effort combines IBM and Red Hat software platforms with Zscaler threat intelligence to provide real-time protections at the application layer. The partners plan to coordinate vulnerability discovery, automated policy updates, and validated software remediation workflows for shared customers. This IBM, Zscaler and Red Hat security...
Is International Business Machines (IBM) Stock Worth More Than Its Cash Flow Suggests?
International Business Machines has almost doubled shareholders' money over the past 5 years, yet after a sharp setback this year and fresh headlines around quantum computing and AI, the key issue for you is whether the current share price lines up with the cash the business is expected to generate. With IBM stock now around US$227 a share, the gap between the recent price path and its cash flow story matters more than ever. IBM has delivered a 99.1% total return over 5 years, which puts...
Shribman: Drinking double Haterade in this political climate
LAMBS GROVE, Iowa — Move over, soccer moms, forget about NASCAR dads and dismiss even the “bunch of childless cat ladies” that JD Vance identified — all ...
Open science is compatible with research security, says Canada’s chief science advisor
Open science is “not incompatible” with research security and science leaders and policymakers should “demystify” the false dichotomy between the two, according to Mona Nemer, Canada’s chief science advisor. More than a decade ago, EU policymakers were promoting open science, open innovation and open collaboration across the world. It was a political movement that aimed to make scientific research, data, software, publications and methodologies transparent, accessible and reusable for everyone.But that rhetoric has changed over the past few years. After Russia invaded Ukraine in 2022 and Donald Trump came back to power in 2025, international partnerships have become more pragmatic. Countries are trying to implement protectionist policies and governments are increasingly worried about technology espionage. According to Nemer, science can remain open if the sector can come up with improved security protocols that would protect research data from undue manipulation by foreign actors. “If anybody can fiddle with the with the data, then [open science] is actually quite dangerous and quite useless,” she told Science|Business. Universities and research institutions are increasingly vulnerable to attempted espionage and other types of foreign interference. In September, the UK’s domestic counter-intelligence service MI5 issued a security warning against collaborations with the China General Technology Research Institute. And earlier this year, Germany’s Helmholtz Center for Information Security was criticised by federal research minister Dorothee Bär, who told a parliamentary hearing that “existing rules and systems” at the institute “were not suitable” for preventing leaks to China. According to Nemer, universities and research institutions should perhaps follow the example of the private sector, as companies have been able to safeguard their research while still publishing results. “I think that there is a level of research security hygiene that researchers and institutions need to just adopt,” she said. “You don't have to tell Sanofi or IBM how to safeguard their research, which they end up publishing anyway.”While certain areas of research will not be open for collaboration with certain partners, in other areas cooperation is necessary even with researchers based in adversarial countries. “I stress this because politics change,” she said. “Science and politics don't make for good fellows, and whether we like it or not, politics will influence certain things.”Researchers will play an important role in “protecting the integrity of science,” said Nemer. “I think that it's time that there's a commitment to a certain scientific compact, so that citizens don't think that science is actually an open door for espionage and for anti-nationalism.”New partnershipsNemer spoke with Science|Business on the margins of the Hamburg Science Summit on September 17, the day when Canadian Prime Minister Mark Carney called for increased cooperation with the EU, including in science and technology. Canada is looking to strengthen ties with partners in other corners of the world, after the Trump administration threatened to put tariffs on Canadian goods and services and even openly suggested Canada could become the 51st state. In parallel, the US government has indicated it wants to retreat from international science projects, including US collaboration with Europe’s CERN particle accelerator and other big science labs.Related articlesThe stats we need to better understand R&DCanada looks to deepen research and education links with the EUCan researchers trust that AI models won’t leak their ideas?Nemer said the US is still a science “powerhouse,” but Canada and Europe will have to work closely together on global challenges. “It’s important for both [sides], but I think it's also important for the rest of the world, because the cut in funding for development, in health, in regions like Africa and other places, have dramatic effects.” The Trump administration is also planning a review of the Nelson memo, a Biden-era document that mandated that results of federally funded research would be openly available. With that idea being called into question, Nemer said it could be “very disruptive” to scientific collaborations and could jeopardise research on climate change, the Arctic and global health. “When your collaborator suddenly tells you I'm not going to share the data with you as a researcher, if this happens, I think it's very worrisome,” she said. “I'm certainly hoping that a lot of the Canadian institutions, funders, researchers, have started looking at joining forces on databases and using more European research infrastructures,” Nemer added.
Broome County Mental Health talks BC SAFE and Suicide Prevention
Heidi Mikeska and Brittany Riso from the Broome County Mental Health Department came on to talk about the results of Chalk the Walk and Suicide Prevention Month.
IBM Teams Up with SAP to Help Businesses Modernize Operations and Advance AI-Readiness
/PRNewswire/ -- IBM (NYSE: IBM) today announced IBM Ready for SAP Solutions to help midsize and fast-growing organizations accelerate cloud ERP modernization,...
Pennsylvania lawmakers, advocates to introduce universal health care legislation
Pa. lawmakers, advocates to introduce universal health care legislation
NASA and IBM's open source lunar model turns 17 years of orbiter data into a foundation for lunar science
NASA and IBM have released the Lunar Foundation Model, one of the first open-source AI models for lunar science. Trained on nearly 2 million tile bundles, mostly from 17 years of Lunar Reconnaissance Orbiter data, it cuts the error in predicting polar ice deposits by up to 22 percent compared to the strongest model it was tested against.
Experience Intelligence: 3 Insights on Measuring Business Impact
A new methodology is helping brands like IBM design for what matters most. When an industry standard doesn’t exist, create one. It’s the mentality of a
September Monthly Review: Health MCP Guy?
For all the time I spend talking about APIs and data exchange, this newsletter has had embarrassingly little interoperability of its own. It’s old-school SaaS, baby - UI or bust. Not all of that is my fault! Substack, for all its popularity, is (as mentioned before) really frustrating as my system of record. The primary user it optimizes towards is the reader, whose attention feeds the app, the Notes feed, and the recommendation network that Substack is actually selling. Health API Guy is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe They’re falling into the same trap that Medium once sprinted into, albeit at a much more glacial speed. Younger generations may not remember (or never knew) it, but Medium once lured publications like The Ringer and Signal v. Noise onto its platform, only to lose them as it rebuilt itself around a paywall and an algorithmic feed. Substack’s original pitch circa 2020 was the antidote (you own your list), but every new feed feature chips away at it. I get it: writers are generic supply in the eyes of the Substack product team. Generic supply follows demand, so the consistent pressure on the PMs is to generate demand, which leads to every product cycle going toward discovery (Notes, recommendations, the app, live video). The end result lackluster author tools (laggy and broken analytics are truly crippling) all despite the premium price point. The archive is where it crosses from authorial gripes to actual reader impact, though. Across Substack and LinkedIn, I’ve published 1,218 posts and nearly 900,000 words since 2018. Substack’s native search can see only the 464 posts that live on Substack, and even there it’s woefully inadequate at surfacing relevant content (even for the guy who wrote it)! Readers have the same problem, writ large. Ask the Archive Fixing search (for both my readers and my own use) turned out to be extremely non-trivial, unfortunately: There’s no public API for readers to access content RSS exists for new content notification, but it only carries the 20 most recent posts and cuts paid ones off at the preview The only Substack MCP is an admin tool for analytics The export exists for authors, but it’s painfully awkward and slow. So I built something to work around that: the Health API Guy MCP. It’s a private MCP server holding the full text of everything I’ve written across Substack and LinkedIn. Add it to Claude or ChatGPT as a connector and you can ask things like: It pairs keyword search (for acronyms and case names, of which we have many) with semantic search. Every post is also labeled by topic, form, and court case, so you can pull a lawsuit’s (or multiple cases’) entire docket across Substack and LinkedIn in one query: Hail, Healthapiguyhydra This is also a bit of me eating my own cooking. I’ve spent the year arguing that headless healthcare is arriving and that developers want primitives over abstractions. Last week in Hail, Benihydra, I watched Salesforce plug its platform into Claude and bet that the records underneath outlive whatever interface sits on top: Salesforce must believe that the Hydra’s immortal head is the records, permissions, and business logic (in that they will survive whatever happens to the interface). It felt a bit hypocritical to keep my own archive behind a Substack search bar. The archive is the body. Substack is one head, and now whatever tool you might use is another. Will the EHRs follow my lead? Probably not imminently, but one can hope! Why Founding Members Only The MCP is available to Founding Member subscribers. A few reasons: It costs money and time to run. Hosting, the database, Clerk usage and AI compute for search and labeling are significant operational costs (that increase with usage). Substack gives me no way to automate access. There’s no API to check whether someone is a paid subscriber, so every user is manual operations for now. It’s a beta. We’ll need to improve things and parts will break. I’d rather they break for a small group of dedicated readers who will tell me about it. The Founding tier deserved a real benefit. Until now it was mostly a generous tip. Now it comes with something. If you’re already a Founding Member, reply to this email with the address you’d like provisioned. If you’re not and want in, upgrade here. Larger teams (such as companies) can get access too: group subscriptions at the Founding tier come with the group discount. The admin for the subscription can reply with the list of addresses to provision. Get 20% off a group subscription Pricing Founding membership is now a flat $200 a year, replacing the old suggested $150 that readers could adjust. Existing Founding Members will have access grandfathered in at their previous rate. Month in Review Articles Published Make Networks Dumb Again (Sep 11): AI is making old analog networks cheaper to use and flooding them with machine traffic in the process. A plea for agent-native rails with the intelligence at the endpoints, and for Washington to drag them to ubiquity. Interoperability, Unbuttoned (Sep 29): Interoperability is a series of workflows in a trenchcoat, and this post finally takes the trenchcoat off. A color-coded map shows which provider workflows went digital, which are fragmented, and which still run on fax. Video Content Antitrust’s System of Record Problem (Sep 3): The FTC’s investigation into Epic prompted a ninety-minute webinar, now posted with chapters and a smoothed transcript. We get into why market definition, missing B2B share data, and the SSNIP test leave antitrust poorly suited to systems of record, plus why information blocking may be doing more than any pending lawsuit. The Information Exchange: Cerner Milking Edition (Sep 18): This was so fucking fun. Ryan Tucker, Ryan Brickner, Brad Thorson, and I try an Around the Horn format, complete with points, penalties, and a mute button. We debate whether Oracle Health is dead, who would actually buy Cerner (IBM enters the chat), p(Doom), and why the front desk still hands you a clipboard. Regulatory Ask Not What Your Network Can Do (Sep 23): CDC’s RFI on public health data intermediaries lists use cases already served, unevenly, by eCR, lab reporting, IZ Gateway, and syndromic surveillance. The real opportunity sits in one question about AI: a network that can handle the next emergency without another interface project. Court cases Particle v. Epic: The Naughty Schoolteacher (Sep 4): After a summer-long vigil, the answer on Epic’s early summary judgment bid is two paragraphs and a remedial assignment. Particle advances to the next grade, and market definition gets another year of discovery. The Epic Discovery Files (Sep 8): Texas’s motions to compel arrive with a 251-page appendix of requests, objections, and meet-and-confer letters with Cravath. Inside: Epic using generative AI for document review, denied interoperability requests in scope, and Noerr-Pennington raised against lobbying discovery. Epic v. Health Gorilla: “Working as Designed” (Sep 9): Epic wants nothing to do with the data breach MDL, and explaining why puts fresh discovery on the public docket. The spiciest allegation: Health Gorilla told GuardDog to scrub its law firm business from its website instead of cutting off access. Veeva v. Epic: Legal Bypass Surgery (Sep 15): Veeva asks the Wisconsin Supreme Court to skip the Court of Appeals, while law professors and three policy groups line up as amici. Meanwhile, Epic’s lawyers apologize for another round of citation errors, including a quote that never existed. Texas v. Epic: Behind the Black Bars (Sep 17): The court portal served up Epic’s unredacted filings, revealing a $5 million document review budget and the AI workflow behind it. Also inside: the 200-plus company names Texas wants searched, and one very expensive Zoom invitation. OpenEvidence v. Doximity: Consequences Will Follow (Sep 25): OpenEvidence tells the court it will not comply with a discovery order, and its own lawyers at Quinn Emanuel say they won’t defend the choice. Add years of Slack reported unrecoverable, and Rule 37 sanctions come into view. Health Tech Keeps Choosing Violence (Sep 28): Doximity moves to end OpenEvidence’s case, Epic asks Texas to show its work, and a sleepy Audacious Inquiry patent fight sprouts antitrust and information blocking counterclaims. The main event is a long-sealed Cognizant v. Infosys ruling that hints where system of record antitrust claims can survive. EHRs One Verb for Oracle Health (Sep 14): Oracle’s earnings call quantifies every data center to the decimal point, while Oracle Health gets a single verb: “accelerate.” Panning the few healthcare mentions turns up an agentic care management system, a research-to-care ledger play, and the question of whether healthcare gets Larry’s patience. Epic’s Forretress Under Siege (Sep 30): Judy Faulkner tells a panel Epic paused hundreds of projects to harden its software and calls it a “shame,” while a spokesperson insists the roadmap hasn’t changed. Project Glasswing, a Pokémon-branded QAN sprint, and a trove of Jodel grievances reconcile the two Epics and preview the Jevons paradox coming for all software. Industry Analysis Scanning for a Network (Sep 1): Scan.com raises $220M to build the imaging network labs never got, speedrunning Zocdoc’s consumer-to-B2B pivot. Its wedge to network density may be the most American one available: personal injury litigation. The Front Desk Wants the Damn Whole Building (Sep 16): Hello Patient buys Converse Health, pushing its AI front desk into referrals, chart work, and prior auth. The copilot categories keep blurring, and your distribution partner is still your final boss. Cross-industry Comparisons A Different Patchwork Quilt (Sep 10): Healthcare loves to envy open banking, but the US version has no mandate, a toll booth at Chase, and data quality problems of its own. The grass isn’t greener; it’s another American patchwork quilt, and perhaps a worse one. Hail, Benihydra (Sep 21): Salesforce brings its platform into Claude, Slack, and its own agent, inviting the interfaces that might replace it. Cut off one head and more grow back, so long as the records underneath stay put. Living on A Trade Secret Prayer (Sep 22): Six credit unions are suing Fiserv, the Epic of core banking, by claiming their own member records as trade secrets. Banking has no Cures Act, so its lawyers reach for legal alchemy that healthcare has already tried. Other News None this month External Media Nabla Accelerate NYC: I kicked off fall conference season at Nabla’s Accelerate event in New York, where Delphine Groll opened by asking the room to picture the company it wants to become and the one it doesn’t. I liked her framework of bureaucracy, fear, and ego as the blockers. I also love vendor conferences/events in general - different vibe than industry biggies. Healthcare 101 with Nikhil Krishnan: I briefly guest lectured Out-Of-Pocket’s Healthcare 101 class. Appreciated Nikhil’s takeaways cover whether AI doctors can query HIEs, why healthcare’s data-liberation rules beat most industries’, and the hi-res graphic is in the comments. HCN: Epic Probed by the FTC: I joined the HCN guys to talk through the FTC’s investigation into Epic. Cedric’s new hairdo was an unexpected plot twist. The episode also covers MFN drug pricing, healthcare M&A and Eli Lilly’s acquisition streak. Fall Conferences: At eHealth Exchange’s Annual Meeting in Austin on Oct 27, I’ll moderate a panel on the tensions between AI, HIEs, and timely patient access with Jean Ross (Primary Record), Therasa Bell (Kno2), Byron Crowe (Doctronic), and Michael Marchant (Freenome). Here’s the rest of my schedule if you want to meet up: CommonWell (Redwood Shores, CA): Oct 13-14 Will be participating in a fun Jeopardy event Open@Epic (Madison, WI): Oct 20-23 Will be enjoying Verona, Willy Street, and other local adventures eHealth Exchange and Sequoia Project (Austin, TX): Oct 27-29 Yeehaw HLTH (Vegas): Nov 15-18 Groundhog Day, Venetian Edition RSNA (Chicago): Nov 30-Dec 2 See me at “Governing AI in Breast Imaging: What Health Systems Are Actually Doing” Digital Health Counsel 2026 AI Summit (Seattle): December 2-3 Will likely be speaking to a bunch of lawyers about information blocking Posts I Liked ChatGPT’s Epic integration: game changer or nothing burger?: Joshua Liu, MD offers five thoughts on OpenAI’s Epic launch, starting from the point that it rides the same open APIs available to anyone. He argues read-only access leaves ordering to Art and the ambient startups, and asks why HCA is piloting it alongside Commure. He’s sorta a must-follow at this point - consistently excellent, thought-provoking takes. Epic, Lilly, and the Discovery pass: Seth Chaney reads Epic’s first major Discovery deal (with Eli Lilly), as well as its revised developer terms on commercial displays, as the pipe finally opening between EHRs and pharma. Life sciences and health continue to collide. Scott Rossignol on EHR payer platforms and ePA fees: Scott argues the top ambulatory EHR vendors are turning the prior auth mandate into a per-member-per-year toll on payers, for an API whose operating cost has nothing to do with covered lives. His fix is two lines of regulatory text: put the CRD/DTR/PAS certification criteria in the Base EHR definition, and bring payer-facing ePA connectivity under § 170.404’s cost-based fee rules. It’s a good solution. Health API Guy is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber. Subscribe
IBM is Building a Bigger Software Business. Can Its Balance Sheet Keep Up?
On September 24, International Business Machines Corporation (NYSE:IBM) announced two key capabilities designed to strengthen its digital asset infrastructure for tier-one financial institutions, governments, and regulated entities. In a new beta rollout, IBM Digital Asset Haven clients can connect to SWIFT’s blockchain-based shared ledger, linking into a cooperative network of over 12,500 financial institutions across […]
Car seat checks held during National Child Passenger Safety Week
Free car seat checks in Oklahoma City
Novant Health Forsyth Medical Center operating on generator power after outage
A localized power interruption affected Novant Health Forsyth Medical Center earlier this morning. The hospital is operating on generator power, and patient care continues without interruption.
Verizon is investing $70 million in free AI training for job seekers and small businesses
The telecom company is partnering with IBM, Google, Microsoft, Anthropic, and OpenAI to offer no-cost AI courses through community nonprofits
India business activity rebounds in September to 3-month high, PMI shows
India's business growth accelerated in September on stronger demand in both manufacturing and services, a preliminary survey showed, though weaker export momentum and more subdued hiring tempered the upbeat picture.
USRA Contributes Planetary Science Expertise to NASA-IBM Lunar Foundation Model
/PRNewswire/ -- Universities Space Research Association (USRA) contributed planetary science expertise, lunar dataset development, and scientific evaluation to...
USRA Contributes Planetary Science Expertise to NASA-IBM Lunar Foundation Model
Open-source artificial intelligence model combines diverse lunar datasets to support scientific analysis of the MoonThe NASA-IBM model reproduces patterns of lunar ice prospectivity (scaled from blue to yellow), shown at four locations (left) near the Moon’s pole. Top row: reference ice prospectivity map of Mons Mouton near the lunar south pol...
Dun & Bradstreet Brings Verified Business Context to IBM watsonx Orchestrate Through MCP
/PRNewswire/ -- Dun & Bradstreet today announced that the D&B Commercial Graph™ is now available in the IBM watsonx Orchestrate Agent Catalog via Model Context...
Zocdoc CEO: I’ve watched Walmart, IBM, and others try to ‘disrupt’ healthcare. Here’s why they failed
For too long, we have mistaken disruption for progress. Patients still struggle to find a doctor who takes their insurance.
Here is What to Know Beyond Why International Business Machines Corporation (IBM) is a Trending Stock
Recently, Zacks.com users have been paying close attention to IBM (IBM). This makes it worthwhile to examine what the stock has in store.
Baby Gaga is here! Lady Gaga and fiancé Michael Polansky welcome first child
Lady Gaga is a mom! The pop star and fiancé Michael Polansky welcomed their first baby together.
UC Health launches first adult celiac disease center in the region
UC Health has opened a new adult celiac disease center in Cincinnati, offering specialized care, testing and support for patients.
IBM and NASA Release Open-Source AI Model to Support Lunar Exploration
YORKTOWN HEIGHTS, N.Y., Sept. 10, 2026 — IBM and NASA today announced the open-source release of the NASA‑IBM Lunar Foundation Model, one of the first publicly available foundation models for scientific exploration of the Moon, now available. Trained on an extensive lunar observation dataset curated by IBM and NASA researchers, the model can help scientists […]
IBM, NASA launch AI model to help map ice, craters on Moon
IBM and NASA on Thursday released an open-source AI model designed to help scientists analyze decades of lunar observation data and support plans for a sustained human presence on the Moon.
Moon's surface will be mapped in incredible detail using first-of-its-kind AI, NASA and IBM reveal
IBM and NASA have partnered to create the Lunar Foundation Model, a new AI capable of processing decades of lunar data so we can more accurately map the moon's surface.
NASA, IBM Launch AI Foundation Model for Lunar Science
NASA is bringing artificial intelligence to the study of the Moon, helping researchers transform how they analyze the Moon’s surface. In an ongoing
Cleveland Clinic, RIKEN and IBM Team Advance to Finals for 2026 ACM Gordon Bell Prize
Joint research team modeled a 12,635-atom protein, the largest-known to be simulated using quantum computers. Breakthrough was achieved through quantum and classical methods working together, expanding quantum-centric supercomputing’s potential in life sciences research.
Edmond hospital employee charged with stealing fentanyl from OU Health
An Edmond hospital employee is accused of stealing fentanyl waste from OU Health, with surveillance video reportedly capturing the incident.
Cleveland Clinic, RIKEN and IBM Team Advance to Finals for 2026 ACM Gordon Bell Prize
Cleveland Clinic, RIKEN and IBM has been named as a finalist for the 2026 ACM Gordon Bell Prize for simulating the largest biologically meaningful molecules ever modeled with quantum computers, reaching a scale of 12,635 atoms.
Floyd County health officials find more mosquitos infected with West Nile Virus
The latest detections bring the total number of West Nile-positive mosquito pools in Floyd County to eight so far this year.
Airbnb names Pepijn Rijvers chief business officer
The former Tripadvisor and Booking.com leader succeeds Dave Stephenson as Airbnb furthers its hotel strategy.
Measles clarification: Allegheny County Health Department addresses measles after cases reported last month
The Allegheny County Health Department is setting the record straight on measles after two cases were reported at UPMC Children's Hospital last month.
David M. Shribman: Politics fuels a push for separatism in Canada
CALGARY — A wildfire is sweeping the western Canadian province of Alberta. It’s not the one you are thinking of. And a Canadian province...
New Biomedical Sciences Undergraduate Research Program Offers Valuable Lab Experience
The Undergraduate Program for Research Immersion & Scholarly Mentorship will enable undergraduate students in the Institute for Biomedical Sciences to gain meaningful research experiences in the institute’s labs.
IBM Study: Sports Fans Want Streamlined Digital Experiences as Platform Choices Expand
/PRNewswire/ -- New research commissioned by IBM (NYSE: IBM) reveals the digital expectations of surveyed sports fans are rising as they navigate more...
Opinion | In Clancy case, mental health care system is being put on trial
"The sidelining of the therapeutic alliance reflects a system that has lost its bearings," writes one reader, a longtime psychologist.
Ralph C Wilson Jr Centennial Parks promotes youth sports
The Detroit Riverfront Conservancy and Project Play hosted dozens of sports organizations
David M. Shribman: A socialist high-water mark in Maine and the Midwest?
OGUNQUIT, Maine — As Maine goes, so goes the nation? Maybe. But maybe not. That phrase, from the faded past, once was a sturdy political guideline....
Neil Leibman exits Texas Rangers chairman role to pursue new business opportunities
ARLINGTON, Texas (AP) — Neil Leibman stepped down Monday from his role with the Texas Rangers as chairman of the company that oversees local television broadcasts of games, and the MLB team’s sports and entertainment group. The Rangers said Leibman, part of the ownership group that bought the team in 2010, left his position with the club to focus on…
Neil Leibman exits Texas Rangers chairman role to pursue new business opportunities
Neil Leibman has stepped down from his role with the Texas Rangers as chairman of the company that oversees local television broadcasts of games, and the MLB team’s sports and entertainment group.
Neil Leibman steps down as chair of Rangers Sports Media and Entertainment
After a 16-year run with the Texas Rangers, Neil Leibman is stepping down from his position as Chairman of Rangers Sports Media and Entertainment effective immediately, the team announced Monday.
David M. Shribman: The long road of a longshot in New Hampshire
GILFORD, N.H. — Taped on the refrigerator are four pictures of the bear that recently wandered behind Robby Cosgriff’s house. On the opposite...
Thunder Entertainment announces auditions for drummers and Storm Chasers in OKC
Thunder Entertainment is giving fans the chance to join Oklahoma City’s "Loud City" atmosphere by hosting auditions for the Thunder Drummers and Storm Chasers later this month.
Forsyth County Health and Human Services Campus Closed due to Outages
Forsyth County Health and Human Services Campus Closed due to Outages
Mamdani Dismisses Business Leaders Advising NYC’s Mayor’s Fund
New York City Mayor Zohran Mamdani dismissed the business and civic leaders who advised a multimillion-dollar fund that channels private donations into public programs, removing a longstanding group of corporate advisers from City Hall’s philanthropic arm.
Norman Regional Health System no longer in network with Aetna after agreement unable to be reached
Norman Regional Health System is no longer in network with the insurance company Aetna.
Jim Cramer Is Sad About nternational Business Machines Corporation (NYSE:IBM)’s Performance
International Business Machines Corporation (NYSE:IBM) is another stock that Jim Cramer has been quite optimistic about. However, its shares are down by 23% year-to-date and by 12% over the past year. The primary reason behind the weak performance is International Business Machines Corporation (NYSE:IBM)’s preliminary second-quarter earnings report released on July 14th. The results saw […]
UC Health to close assisted living facility on Daniel Drake Campus
UC Health announced Thursday it's closing its assisted living facility on the Daniel Drake Campus.
Novant Health operations impacted from Forsyth County water main break
Novant Health has shifted some clinics to virtual visits and paused elective surgeries after a major Forsyth County water main break.
International Business Machines Corporation (IBM) Survived One AI Scare in February. This One Might Be Different.
International Business Machines Corporation (NYSE:IBM)‘s stock dropped 25% on July 14. That’s the worst single day for the stock since records began in 1968, even worse than its previous record drop on October 19, 1987. By the end of the week, IBM’s total value was just under $200 billion. The drop happened because IBM warned […]
Jim Cramer Discussed A Surprise For International Business Machines Corporation (NYSE:IBM) CEO
International Business Machines Corporation (NYSE:IBM) is another stock that Jim Cramer has continued to stick by, even though the shares have struggled. For more than a year, the CNBC TV host has repeatedly praised the firm for its software business and its quantum computing business. International Business Machines Corporation (NYSE:IBM)’s shares are down by 26% […]
Police believe woman found dead behind NW OKC business died of natural causes
Police officials reported a woman was found dead behind a northwest Oklahoma City business Thursday afternoon.
Harnessing Abundant Electricity From the Sun—and Other CU Boulder Science Tapped for Genesis Mission
Three CU Boulder-led projects and three collaborative projects selected through the U.S. Department of Energy's Genesis Mission. Research will advance artificial intelligence for fusion energy, quantum computing, particle physics and water prediction. Awards recognize CU Boulder's leadership in applying AI to some of the nation's most complex scientific challenges.
IBM Lowers Its Growth Outlook as Sales of Data Center Mainframes Sink 42%
Big Blue’s CEO is expected to face questions from Wall Street about the company’s direction and leadership.
Small Business Technology News Roundup: IBM Shares Crash, ChatGPT To Replace Wall Street Analysts
IBM shares collapse, OpenAI says AI will replace workers, Upwork says AI is reshaping freelancing, Microsoft will let you pause Windows 11 updates, Expensify consolidates travel billing
New dashboard launched to help people find relief in the summer heat
"When temperatures never drop below 70 at night, the body doesn't get the chance to recover, and that's when heat becomes dangerous," said Deputy Health Director, Dr. Justin Frederick.
Summer is winding down: Health tips for parents ahead of the school year
Summer break is wrapping up for students across the Piedmont Triad, and many parents may be wondering how to ensure their children have a good start to the school year. Here's what health experts suggest.
Human West Nile virus case confirmed in Worcester, health officials say
A human case of West Nile virus has been detected in Worcester, the city's Division of Public Health said.
IBM CEO Arvind Krishna is facing a leadership test
Current and former tech leaders say the CEO's candid response to the tech giant's disappointing quarter offers a lesson for handling bad news.
IBM shares plunge as AI spending boom disrupts business
Shares in IBM plunged 24 percent on Tuesday after the US tech giant released disappointing preliminary second-quarter results, blaming a shift in spending by customers due to expected higher prices for memory chips and other AI-related infrastructure.A global rush by tech companies to build out artificial intelligence infrastructure has sent demand for servers, memory chips and storage soaring, driving up prices and creating supply shortages across the industry.
Smart people: IBM's AI warning sparks new Saaspocalypse fears
IBM CEO Arvind Krishna wrote a letter to shareholders about a revenue miss. It's renewing months-old fears about a SaaSpocalypse.
IBM plunges on preliminary Q2 miss, cites weakness in software, infrastructure businesses
CNBC’s Carl Quintanilla, Jim Cramer and David Faber discuss the news of the day.
IBM stock plunges on worse than expected Q2 results
"This quarter we faltered," IBM CEO Arvind Krishna said in a letter to investors released Tuesday after worse than expected quarterly results.
IBM forecasts preliminary Q2 revenue below estimates as spending shifts to AI
IBM's preliminary second-quarter revenue forecast came below Wall Street estimate on Tuesday, as customers prioritized spending on AI infrastructure, including servers, storage and memory purchases, sending its shares slumping 17% in premarket trading.
Luka Dončić Pushed for Lakers’ Move to Acquire Walker Kessler
The superstar point guard prioritized Kessler’s elite rim protection, leading Los Angeles to sacrifice massive future draft capital and $130 million to secure his ideal pick-and-roll partner.
Darline Graham Nordone has little political history beyond praising her brother
Darline Graham Nordone, the late senator Lindsey Graham’s younger sister, has the backing of President Donald Trump and Sen. Tim Scott to serve out the remainder of her brother’s term.
Jim Cramer Is Still Recommending International Business Machines Corporation (IBM)’s Shares
We recently published Jim Cramer Insisted Recent AI Chip Selloff Wasn’t A Bottom & Discussed These 17 Stocks. International Business Machines Corporation (NYSE:IBM) is one of the stocks discussed by Jim Cramer. International Business Machines Corporation (NYSE:IBM) is one of Jim Cramer’s favorite stocks. The shares are up by a modest 1.3% over the past […]
750 million fans and 2.7 million data points: How IBM’s AI powers Wimbledon from hidden ‘Court 19’
The tennis tournament has become a proving ground for IBM’s tech and is helping business executives overcome their AI fears.
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We can create the future of science right now
Paul Litvak is the founder and Executive Director of the Robyn Dawes Institute and a Visiting Scholar at UC Berkeley. He has a PhD in Behavioral Decision Research from Carnegie Mellon where he studied emotions and the sunk cost bias. Over 15 years in industry, he solved a wide range of challenging technical problems. At Meta he created models optimizing the ad review process. At Google he ran experiments to measure social influence. At Airbnb, he was a product manager leading machine learning teams optimizing search ranking and price suggestions. He also co-founded and led product at Rhythmic Health, a venture-backed biosensing startup, creating an accurate low cost system using a color changing strip and a smart phone to measure salivary lactate. The bottleneck At this point, it is uncontroversial to say that science needs to stop using the PDF article as the unit of knowledge and currency. The unbearable slowness of scientific publishing, the profit motive and margins: I’m not saying anything new. The PDF also sucks because it’s hard to extract structured information, which makes it hard to do evidence synthesis. As a result, we do much less evidence synthesis than is needed. And evidence synthesis ultimately undergirds most policy and medical decision-making. I can see second-by-second real-time odds for any sporting or newsworthy event, but a school board can’t see the best evidence on whether their 8th graders should be taught algebra. As a society, we don’t treat this as an important problem. Again, not controversial. Not only is the problem well understood, but the solution has already been laid out. What we need is AI-assisted living evidence synthesis - (1) an open knowledge graph of atomic claims, (2) claims linked to evidence, (3) assessment and synthesis of each piece of evidence, and (4) continuous updating with new data. What few realize (yet) is that the technical capacity to build this vision for a significant portion of science already exists. Not only that, scientists and startup teams are already building many of these components. I know this because I’ve been surveying the space and talking to many of the builders. There are some missing pieces: for example, evaluations of how well some of the components work. But at this point, most of what’s missing is a fully end-to-end working integration of all of these parts. In the rest of this essay, I’m going to lay out all the parts of a working living evidence layer for science and who is working on them, and propose concrete next steps for building this system. What’s now possible The diagram above outlines the components of a living evidence synthesis platform, including some of the teams working on each component1. Scientific PDFs are processed into claims with associated evidence. The evidence is subjected to a forensic audit, methodological evaluation and robustness and reproducibility checks. Finally it’s given a weight in a continuously updating synthesis. What follows is a description and status of each component and a few of the teams working on them. Document understanding The first thing you need to be able to do is turn an article into structured data. Mostly that means parsing PDFs. There are often multicolumn layouts that confuse non-specialized PDF to text processing libraries. For scientific papers, there is the added complexity of parsing formulas and tables and figures. This is a really hot area - there are startups offering APIs, and it seems like a new open source package gets posted to Github every few weeks. What follows isn’t exhaustive. A package called GROBID was the state of the art for a while, they didn’t update their package for nearly two years until very recently. In the meantime reducto.ai released an AI powered PDF extraction API, PaddleOCR became popular, IBM released a model called Docling, and both Mistral and Gemini created models and libraries. I also know of at least one other well-funded psychology research group working on a paper parser. By contrast, there are few open evals in this space, with no extensive evals for complex table comprehension in particular. Nonetheless, I’m confident this will be a solved problem soon, given the combination of LLM advances and developer interest. Hypothesis level extraction There has been increasing interest in comprehending the extracted text of papers and linking information to evidence for each hypothesis. A lot of work has already been done. Trialstreamer (Marshall et al. 2020) and RobotReviewer LIVE (Marshall et al. 2023) demonstrated automated extraction of trial population, intervention, and outcome at scale on clinical RCTs. PaperQA2 (Skarlinski et al. 2024) and Ai2 ScholarQA (2024) extended this to retrieval-augmented question answering with citation grounding. Elicit, Consensus, and SciSpace operationalized claim-level extraction for end users. OpenEval (Booeshaghi et al. 2026) is the most recent and most ambitious: 1.96 million atomic claims extracted from 16,087 eLife manuscripts using Claude Sonnet 4.5, grouped into ~299,000 results, with LLM evaluations showing 81% agreement with human peer review on a 2,487-paper subset. None of these solutions link claims to test-statistics, as you would need to evaluate randomized controlled trials. This is why I built the evidence.guide API - to extract hypotheses and associated test statistics from behavioral science papers. The best public eval of this kind of extraction I’m aware of comes from the recent SCORE project - they had humans code thousands of psychology papers to extract their claims by hand. It would be extremely helpful to the world if all scientific PDFs were available as structured open data. I’ve been working to make this happen, both directly at Berkeley and through coordination with large entities I can’t yet speak of; as hard as it is to do, I think it’s possible2. Forensic audit A lot of work has been done on forensic audit, but some gaps remain. Of course, for biology papers that rely on images for evidence, there are a variety of tools (notably Proofig and ImageTwin) to spot anomalies. These are still well short of what sleuths like Elizabeth Bik can do on her own, but these tools are constant companions among fraud analysts. There’s someone working on auditing Excel files for anomalies, and a number of teams are automating numerical checks like GRIM and SPRITE, including Scrutiny project, the INSPECT-SR team as well as statcheck. The regcheck team is building a way to use AI to compare preregistrations to analyses in papers, to ensure there aren’t significant deviations. Nonetheless, there are many other kinds of anomalies to screen for, both public and less publicly known. And there are no formal evals for anomaly detection that I’m aware of. Still, there’s a lot to draw from in this space and I’m pretty certain we will be able to scan papers for most kinds of obvious anomalies in the near future. Methodological review This area has been white hot, though I fear for many of the startups in this space, because this capability may become commoditized. There are at least six different AI peer review companies, including Refine.ink, Reviewer3, ReviewerZero.ai, Q.E.D. Science, Paper Wizard, and Isitcredible. Coarse (a pun on refine) was also recently created as an open source alternative. These systems provide qualitative feedback on the content of papers, spotting methodological weaknesses and mathematical errors. They seem to work pretty well, and many academics report bitterly that they exceed the average quality of typical peer reviewers. But there are few evals here either. What evals exist so far involve using LLM-as-judge (circularity problems abound) or comparing against human reviews of questionable quality. What you’d ideally want is an eval that measures capturing known errors in papers3. Reproducibility and robustness Another active area has been using AI agents to automate computational reproducibility4 and robustness5 checks in papers that report numerical results. For more recent papers where data and code are available, AI agents can see whether they can re-run the analyses and produce the numbers reported in the published paper. In addition to a handful of individual academics who have been experimenting using Claude Code for this, the Institute for Replication is a leading group working on building an end to end system. The evals related to this problem are the most mature, with CORE-Bench (Siegel, Kapoor, Narayanan 2024) and PaperBench (OpenAI 2025) available to benchmark agents on this task. There is also work on getting AI agents to test alternative ways of analyzing the data to ensure the results are robust to small analytic design choices. Synthesis This is the most underdeveloped area where significant investment is required. Although some automated evidence synthesis systems exist — for example, otto-sr is building an AI agent to write systematic reviews — none of these incorporate the full range of paper level signals to weight evidence appropriately. Nor is there anything like an eval or a gold standard for a good systematic review. Arguably Cochrane reviews are the closest we have to gold standard human systematic reviews, though I’ve heard academics in the know complain about their uneven quality. A key question for a synthesis platform is how to weight anomalies and methodological issues in assessing the quality of a piece of evidence. This is an unsolved problem and one I’m very keen to work on. Continuous updating There are many pieces of basic infrastructure available for monitoring for new research and initiating updates. OpenAlex is the current open citation graph. Retraction Watch integrated into Crossref in October 2023. Scite tracks how citations support, contrast, or mention prior claims. The Living Evidence Network demonstrated continuous-update workflows in clinical guidelines. Engineering this is a relatively straightforward task. When you look over this technical architecture and all the progress being made, it’s hard not to be optimistic that a living guide to scientific evidence will be built. The stakeholders are ready The social infrastructure for this is starting to coalesce — it’s not just a pie in the sky academic exercise to imagine this coming into existence. Institutions like the Center for Open Science, the Institute for Replication, the INSPECT-SR, the Living Evidence Network and more are all working on scaling work to improve research quality. Funders are also aligned. The Sloan Foundation has funded living evidence work through COS. Coefficient Giving supports the Institute for Replication and COS. The Astera Institute and the Institute for Progress have shown interest in this space. NIH has established an Office for Replication and Reproducibility. Although there are (very unfortunately) serious headwinds in science funding generally, there is an active group of funders interested in metascience. A brief word about what I’ve been doing at RDI. First, as a Visiting Scholar at Berkeley I’ve been actively figuring out how a non-profit and a public university can conduct and make public the results of large-scale academic article data mining. With some of the money I raised from donors, I commissioned a legal analysis of recent case law and publisher text data mining (TDM) agreements in order to understand whether a massive open data mining of academic articles is possible (with caveats, it is). I’ve also been working to bring together stakeholders in this space, and identify gaps. I’ve also been doing some software development in this space, with more to come. A pilot proposal The assumption undergirding all of this is that an AI, given all this information, would make the right judgment about a scientific claim with lots of conflicting evidence, weighing all the factors appropriately. That’s the hypothesis we need to test. Randomized control trial research is the best place to focus on first. RCTs are used to make many of the important decisions in society - from medical trials to public policy changes. And they use a relatively uniform set of inferential statistics with lots of known and available diagnostics. Behavioral science experiments, within the broader realm of RCTs, should be first used as a testbed whose results can be generalized. Because behavioral science is at the vanguard of open science practices, replications abound (there are thousands of them) to serve as ground truth training data. Key Hypothesis Therefore the pilot would test, in behavioral RCTs that have been replicated, whether the quality of evidence for a claim can be used to accurately predict whether that claim will replicate. Secondary Hypotheses Compared to claims that replicated, non-replicated claims demonstrate a greater share of forensic anomalies in their source literatures. Hypothesis level claim and statistic extraction is accurate enough to scale living evidence without onerous human review costs. Replication prediction is more accurate than prediction markets6 or journal prestige. If all the different quality signals we gather do accurately predict which studies will replicate, then we can use that model to score evidence to power the living evidence layer. Why this is informative regardless of outcome If the pilot succeeds, the architecture extends to medical RCTs (where Living Evidence already operates and integration is mostly about claim representation), then to slices of basic biology with stable replication structure. If it fails, the field learns which quality signals are load-bearing and which ones metascience has oversold. Either result is a contribution to knowing what the literature supports. Implications for funders Because this burgeoning ecosystem of builders already exists, a well-informed philanthropic or government funder could play a crucial catalyzing role in bringing this future about. They could play at least three roles: creating open structured datasets, publishing open benchmarks and incentivizing the solving of key technical challenges. First, open archives of papers that the government maintains, like PubMed, could be turned into structured data amenable to large scale metascience and claim aggregation. I know the US government already has an interest in doing this, though some key open questions remain unanswered. How do you determine the best models and systems for accurately extracting information from papers? How can you establish a robust way to allow researchers to flag errors and correct them? And finally, how do you create a legal regime in working with publishers to maximize the scope of available papers? For the latter, a university or a private philanthropy may be better positioned to make structured data publicly available under journal subscription terms or fair use. Philanthropists or government funders could also coordinate to create or commission benchmarks that evaluate whether important problems have been solved. For example, an open benchmark for claim extraction from a range of different scientific article types would be extremely helpful. Ensuring the underlying data are accurate is vital for creating these evaluations. I’ve discussed opportunistically using various human-created datasets for this purpose, but a consistent problem is that errors in human data make it difficult for them to serve as a gold standard. Finally, with structured data and benchmarks available, the government or private philanthropy could use them to incentivize groups to develop machine learning systems that meet these benchmarks. Prizes are one potentially valuable tool for this. For example, you could establish a prize for a system that accurately updates a living meta-analysis for a small set of claims. Prizes are particularly useful as signals of problem importance, and can help create vibrant ecosystems of public and private research—see, for example the role the government played in kickstarting the current work on nuclear fusion. Conclusion The drawbacks of the current scientific publishing system are known. Scientists agree, metascientists agree, philanthropists agree: the published PDF plus citation graph isn’t the right substrate for maintaining a representation of the evidence base in science. The pieces needed to build the alternative either already exist or are rapidly taking shape. The community is forming around exactly this problem, with concrete partnerships and shared infrastructure. A pilot should start on behavioral science RCTs because that’s the slice of empirical science most amenable to legibility, where replication ground truth is richest, and where the failure modes are best documented. What’s been missing is the galvanizing mission to assemble these pieces into something that works. That’s what I’m proposing to build. *** 1 I have a broader field map that I’ll release publicly soon. This is me, building in public! 2 If this is something that you are excited about, please reach out and talk to me. 3 More on this very soon too! 4 This tests whether, given the code and the data, you can get the same statistics as reported in the published paper. 5 This tests whether the results are the same as a paper’s given alternative analytical decisions in conducting the analysis (like outlier omission). Closely related is the idea of a “multiverse” where you come up with many different ways of answering the same underlying research question with the same data, and test whether the results hold in all those alternative methods. There’s been work on the latter as well. 6 Some of the replications, e.g. those from the SCORE project, had paired the experiments with forecasts from prediction markets. So we get to look at this for free.
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