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The unspoken workplace rules every Gen Z new hire should know
A career coach breaks down the unspoken workplace rules every Gen Z new hire should know, including how not to casually Slack message the CEO.
Contract approved to move forward on Van Buren slackwater harbor
The Western Arkansas Intermodal Authority (WAIA) Board of Directors on Wednesday (Oct. 14) approved a step toward building a slackwater harbor in Van Buren, but not before a board member...
From tax to slack: this World Mental Health Day, reclaim cognitive space in the era of machine speed
The Project Healthy Minds Workforce Lab, a first of its kind coalition of employers and Harvard Business School, is tackling what works in mental health.
Washington Commanders Running Backs Looking to Pick Up Production
Though the Washington Commanders rank among the best rushing attacks in the NFL, can the running back room pick up more of the slack in 2026?
Apple Announces iPhone Duo Apps Can Now Be Submitted to App Store
Apple today announced that apps optimized for the iPhone Duo can now be submitted for App Store approval, ahead of the foldable device launching on Friday, October 23. While existing App Store apps will automatically run on the iPhone Duo, only apps built with the iOS 27.1 SDK or later can dynamically resize to fill the entire space of the inner display, whereas unoptimized apps will have black borders.
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
ChatGPT Space Is A Shared Hub For Work Projects And Personal AI Agents
ChatGPT is coming to Slack and Microsoft Teams too.
Meta is expanding its Muse AI agent to target small businesses
The new Muse for Small Business connects to tools including Canva, Slack, and Intuit, and links to Meta ad accounts and business profiles
Health Tech Keeps Choosing Violence
Last week was an absolute dump of health tech litigation mayhem, with enough new filings to make my wife seriously question my bedtime reading. Here’s what’s inside: OpenEvidence v. Doximity: Doximity didn’t wait for the deadline. It wants OpenEvidence’s case thrown out entirely, and its motion adds some awkward details about vanished Slack data and borrowed NPIs. Plus, Epic v. Apple offers a look at what a normal discovery fight looks like. Texas v. Epic: Epic took another shot at the State’s antitrust pleadings, asking the court to make Texas spell out how its employment restrictions harm competition and why Texas law reaches a Wisconsin company’s noncompetes. Veeva v. Epic: The two Wisconsin law professors finally weighed in on whether a would-be employer can challenge someone else’s noncompete. Audacious Inquiry v. CRISP: Our sleepy patent case just evolved into a much more interesting form, with CRISP firing back with attempted monopolization and information blocking counterclaims. Cognizant v. Infosys: After weeks of emails and phone calls, I finally have Judge Starr’s sealed ruling on Infosys’s antitrust counterclaims. Some survived, offering clues about where the Epic (and other system of record) antitrust cases stand their best chance OpenEvidence v. Doximity
Who Needs to Step Up Without Buccaneers' Top Rookies?
The Tampa Bay Buccaneers will be without Josiah Trotter and Rueben Bain Jr. in Sunday's pivotal home matchup. With these rookies sidelined, who will pick up the slack for head coach Todd Bowles' unit.
Who Needs to Step Up Without Buccaneers' Top Rookies?
The Tampa Bay Buccaneers will be without Josiah Trotter and Rueben Bain Jr. in Sunday's pivotal home matchup. With these rookies sidelined, who will pick up the slack for head coach Todd Bowles' unit.
Slack can now vibe-code interactive charts and reports inside chats
It’s even available for free users.
Meta's Slack migration
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Adobe brings 70+ tools from Photoshop, Illustrator and more to Slack
Adobe added dozens of tools from its creative apps like Illustrator and Premiere Pro into Slack, allowing you to ask Slackbot to do the Photoshopping for you.
Adobe is making its tools available in Slack
Users will be able to access Express, Premiere, and Acrobat in Slack
Meta is switching from Google Chat to Slack for AI agents
Meta is moving employees from Google Chat to Slack, saying Salesforce's product is better suited for an ecosystem of AI agents.
NanoClaw comes to Slack, letting you create persistent AI agent teams and colleagues from a single message
The NanoClaw agents can work together in channels and shared Slack Canvases, and can be even messaged outside of Slack on other platforms like Telegram or WhatsApp, letting their human colleagues ping them across platforms.
AI needs science’s search history
“Actually, that’s where the gold is,” said Alasdair Russell, my graduate school friend who leads a pre-clinical genome editing group at Cambridge. He was talking about the winding road of science that is omitted from published papers. “When you’re discussing how to do the experiment, and why this way is better than another way, and what does the data really mean? I know what it shows, but what does it mean?” At RAAIS 2026, he described how his group has begun logging the twisting path of discovery as it happens, recording the verbal and written exchanges that normally disappear. Ideas become nodes in a living graph: they branch when a meeting produces two plausible experiments, merge when separate lines of evidence converge, and go dark when someone quietly stops pursuing them. In his implementation, one agent scores novelty, while another tries to learn “how scientists think and how they navigate through a complex world of data,” so that high-potential nodes can trigger deeper investigation. As frontier AI labs deploy agents toward scientific discovery, giving AI authentic scientific taste remains a trillion-dollar dilemma. The bottleneck is that the record we have kept for centuries of science might be insufficient to get us there. The experiments that never make the paper Peter Medawar, 1960 Nobel laureate and “father of transplantation,” asked in 1963 whether the scientific paper was a fraud, and answered yes: the form of the paper misrepresents the thinking that produced it. Sixty years on, the diagnosis is unchanged. A paper presents a clean progression from hypothesis to result to conclusion. Lost along the way are the unconventional theories, the abandoned or unaffordable methods, and the underwhelming and inconclusive data. It reads like a browser history with every dead end deleted: the ten open tabs, the four rephrased queries, the wrong turn down a subforum. All scrubbed, leaving one clean path from question to answer as the canonical path. What has changed since then is that the discarded material is now worth something. No high-impact journal wants these artifacts, but raw trial and error is the most likely source of the training data required to develop scientific intuition, or what researchers call taste. Earlier attempts to capture the discards were motivated by scientific integrity. The Journal of Negative Results in Biomedicine launched in 2002 to publish rigorous studies that disputed established models or exposed ineffective treatments. Its archive preserved negative conclusions after they had become papers, rather than the live alternatives and arguments that produced them. BioMed Central closed it in 2017, saying the mission had been served now that other journals publish null results. A less generous reading is that in fifteen years it published around 200 papers because almost nobody wants to read a negative result, let alone write one up when it will not count toward academic tenure. AI models are different. Even an uninteresting negative result can be useful, provided it is labeled. Earlier this year, Anthropic put a version of this to the test. The company pulled 129 decision points from real Claude Code sessions between January and March 2026, showed models the work up to a human detour, and asked what should happen next. Claude Mythos Preview beat the human choice 64% of the time, while Opus 4.5 managed 51%. The comparison was tilted toward the models because Anthropic deliberately chose moments where the human decision had room for improvement. On 127 further scenarios where the human action was already strong, the models improved on it only about 20% of the time. The study was possible because Anthropic’s researchers work inside a tool that logs by default. The reasoning, detours and outcome are produced in the same working environment. Biology has no equivalent. Its reasoning happens in hallways, at benches, in Slack threads and on whiteboards, while the outcome arrives weeks later somewhere else. The record has to emerge from the work itself. Ask scientists to reconstruct it afterwards and we’ll create another polished account. Subscribe A log is not a label Before any of this becomes training data, a negative result has to say what failed. The first paper published in the Journal of Negative Results in Biomedicine examined 234 negative studies across five leading medical journals. Only 30% discussed statistical power, and half clearly defined a primary outcome. Tell a model an experiment failed, without telling it whether the assay was underpowered, a reagent had degraded, or the hypothesis was simply wrong, and it will learn noise with confidence. Decision histories have a second missing label too. When a lab considers five experiments and runs one, only the chosen branch returns an outcome. The other four are experimental counterfactuals. Researchers call this the selective labels problem: the data reveal results only for the actions someone chose to take. Such a record can teach a model to imitate a lab’s taste, but it cannot establish that the taste was good. It also smuggles local constraints into general lessons. A lab that never ran cryo-EM because it did not own a microscope teaches a model that cryo-EM is rarely the right call. Alasdair’s nodes preserve the candidate set, which is the necessary first step. To be useful, each decision record needs six fields: The evidence available at that moment, and nothing that arrived later. The candidates considered, including the ones dismissed in a sentence. For each candidate: the expected result, the confidence attached to it, and the cost in time and money. The route chosen, and the reason. What happened next. How the evidence changed the scientist’s view. These must be timestamped before the outcome, because hindsight turns uncertainty into inevitability. Disagreement also has to survive. Averaging three scientists into one clean rationale reproduces exactly the information loss we are trying to fix. But there is an obvious failure mode here. Once decisions are logged and scored, people log for the record post-facto. Anyone who has watched an electronic lab notebook fill up with retrospective tidying knows how quickly a research tool becomes a compliance exercise. A record that costs a scientist ten minutes of honest reflection per decision is worth far more than one that costs an hour of performance. A publication initiative called Registered Reports offers a useful starting point. Here, researchers submit their rationale, methods and analysis plan for peer review before the data exist, and the journal commits in principle to publish if they follow the approved plan. Nature has now expanded the format across every field it covers. This approach to paper writing timestamps intent before the outcome, but it freezes one plan. A useful search history must also preserve how the plan changed, which alternatives were rejected, when, and on what evidence. Subscribe Run the runner-up Autonomous labs show what happens when decisions and outcomes are connected in a loop. Liverpool’s mobile robotic chemist ran 688 experiments over eight days in a ten-variable formulation space. A batched Bayesian search used each result to choose the next experiments and found photocatalyst mixtures six times more active than the starting formulations. Every completed experiment changed what the system did next. The robot optimized within a goal and search space that humans had already chosen. It did not decide which scientific question mattered. So what this work demonstrates is narrower, but still useful: a search history pays off when the options return standardized outcomes quickly. Open-ended biology is harder because branches can take weeks and the discarded alternatives may never be run. Some exploration therefore has to be bought. Where two branches are plausible and the stakes justify the cost, a lab should sometimes run the runner-up. Otherwise the record captures what today’s scientists usually chose and stays silent on what they systematically overlooked. A funder could ring-fence a small fraction of a grant for the branch not taken, provided that the decision record and the outcome are both deposited. That costs money, but so does having every lab rediscover the same abandoned path. Test whether taste transfers When it comes time to evaluate if our new AI system exhibits taste, the comparison should run across laboratories and fields. At selected decision points in a live research campaign, we should freeze the six fields: the evidence, the candidates, expected results, confidence, costs and the choice made. Experts then rank the options before the outcomes are known, and those outcomes are checked independently later. We could give models one of two diets - papers alone, or papers plus decision histories - and ask them to rank the next experiment on unfamiliar projects. Then, we score information gained per dollar and week, calibration, and how quickly weak branches are abandoned. If histories improve choices only inside the lab that produced them, they amount to useful organizational memory. If they improve choices on unfamiliar problems elsewhere, Alasdair’s group will have captured something science has never managed to write down: a transferable record of taste. Until that happens, a scientific search history is a promising record, not yet a training set.
New court docs reveal how MrBeast pitches brands like Slack, Walmart
We dug through court documents to reveal MrBeast's ad rates and details of his pitches to Walmart, Slack, and Sony.
Google and Epic Abandon Settlement, Clearing the Way for Rival Android App Stores
Google and Epic Games this week withdrew their joint settlement agreement after it became clear the court was unlikely to allow it. With the settlement out, Google is bound by a permanent injunction issued in October 2024 requiring it to allow alternative app stores on Android devices. In a court filing [PDF], Google said that it plans to begin supporting alternative app stores on July 22. In a statement to The Verge, Google said it decided to withdraw the motion to avoid a prolonged legal fight.
Ben Johnson already getting slack for Bears offseason move
The Chicago Bears could regret this decision.
3 fashion choices I saw at Wimbledon again and again
Tennis players must wear white at Wimbledon, but spectators have their own unofficial uniform featuring hats, slacks, and strawberries.
Exclusive: Integral Ad Science hires Lidiane Jones as CEO
The former CEO of Bumble and Slack will succeed Lisa Utzschneider.
Price of San Diego: Rising cost of youth sports leaving some kids on the sideline
A recent study by the Aspen Institute’s Project Play shows that family spending on youth sports has increased by 46% since 2019. Making it out of reach for many low-income families.
Signal Veterans Want to Encrypt Slack, Google Docs, and Basically Every Other App
Encrypted Spaces provides "verifiable, encrypted, untrusted storage.”
Small Business Tech News This Week: Google, Ramp, Slack, Anthropic, Microsoft
Google is warning of fake IT workers, Payables management company Ramp unveils a new product, Slack has more workflow capabilities and more news.
OpenAI’s Revenue Chief Barnstorms for Business Customers
Before former Slack CEO Denise Dresser joined OpenAI in December as its chief revenue officer, the company’s efforts to sell its products to business customers were sometimes clunky. Earlier in 2025, for example, the company had struck an agreement with Databricks, which would sell OpenAI ...
2027 NFL draft: Quarterback prospect watch list
The 2026 quarterback class was supposed to be elite but fell short. Can 2027 pick up the slack and be one of the best ever?
Marc Benioff said Salesforce will spend $300M on Anthropic tokens
Salesforce CEO Marc Benioff said he's able to work faster with AI agents and that the company is working on tech to make coding easier at Slack.
Discord is back after a major outage.
For more than an hour on Friday, many people were having trouble connecting to Discord, with the platform showing a message saying that there were “increased API errors.” Discord confirmed it was investigating issues at 3:08PM ET, and by 6:38PM ET, it reported that all “critical functionalities have recovered for all users.” Updates: Discord says the issues are resolved. [Image: https://platform.theverge.com/wp-content/uploads/sites/2/2026/05/slack-upload-1778269131728.png?quality=90&strip=all]
ChatGPT maker OpenAI shifts its focus to business users amid Anthropic pressure
The same ChatGPT chatbot that gave OpenAI’s chief financial officer Sarah Friar a tilapia recipe for a recent Sunday night dinner at home is also now doing her most mundane tasks at work like summarizing her emails and Slack messages.
Microsoft Teams is finally fixing those awkward "can you hear me?" moments
A mic test is coming soon.
Alibaba launches agentic AI tool for businesses with Slack, Teams integration plans
Alibaba unveiled a new enterprise artificial intelligence tool on Tuesday amid a series of other developments in the company's AI space.
Summit High School science teacher wins award
The National Association of Geoscience Teachers announced in a recent news release that Summit High School teacher Mary Slack has been awarded the Outstanding Earth Science Teacher Award for the Rocky Mountain section. This award...
Microsoft says you should build next-gen Xbox games by building them for PC.
We’re in line for Microsoft’s keynote, but look what we spotted at its booth at GDC! “Cross-platform is the future of the Xbox ecosystem,” it writes. “Build for Xbox on PC.” Again, the future of Xbox is W. [Image: https://platform.theverge.com/wp-content/uploads/sites/2/2026/03/20260311_085610.jpg?quality=90&strip=all] [Image: https://platform.theverge.com/wp-content/uploads/sites/2/2026/03/slack-upload-1773247555310.jpeg?quality=90&strip=all] [Image: https://platform.theverge.com/wp-content/uploads/sites/2/2026/03/slack-upload-1773247563110.jpeg?quality=90&strip=all]
Transparent Tribe Uses AI to Mass-Produce Malware Implants in Campaign Targeting India
Transparent Tribe uses AI tools to mass-produce polyglot malware targeting India using Slack, Discord, and Google Sheets C2.
Laid-off Block staff commiserate in 'Square Mafia'
Former Block employees congregate in an unaffiliated Slack group to share support, find new jobs, and trade memes. It's grown since recent layoffs.
Why Slack is my favorite tool for keeping teams on track
Discover why the Slack Pro plan is the best affordable tool for startups to manage chaos and keep growing teams on the same page.
Salesforce CEO Marc Benioff made ICE jokes. Some staff aren't happy.
Salesforce employees took to Slack to express anger and disappointment in CEO Marc Benioff's comments.
Anthropic extends MCP with a UI framework
Anthropic is turning Claude into an app platform, with interactive widgets from Slack, Figma, Asana, and others.
Anthropic embeds Slack, Figma and Asana inside Claude, turning AI chat into a workplace command center
Anthropic is turning Claude into an interactive enterprise workspace by embedding business apps like Slack, Asana, Figma, and Amplitude—powered by its open Model Context Protocol (MCP)—so teams can create projects, send messages, and analyze data without switching tabs.
Anthropic launches interactive Claude apps, including Slack and other workplace tools
Claude users will now be able to call up interactive apps inside the chatbot interface, with Cowork integration coming soon.
The CTO of Slack says this is how he makes time for deep work
Slack CTO Parker Harris said he limits distractions when he's doing focused work. "We all need to find a way to concentrate," he said.
Slack CTO explains how he makes time for deep work
Slack CTO Parker Harris said he limits distractions when he's doing focused work. "We all need to find a way to concentrate," he said.
Key Galaxy S26, S26+, and S26 Ultra strengths have leaked—and it looks like Samsung is slacking
Key Galaxy S26 upgrades appear to be underwhelming.
The risks of 'ghost vacationing' over the holidays
Ghost vacationing and quiet quitting on Slack during the holidays can harm trust, team morale, and long-term workplace relationships.
Why Has OpenAI Hired Slack's CEO as Chief Revenue Officer?
OpenAI has hired Slack CEO Denise Holland Dresser to help more businesses put AI to work in their operations and oversee global revenue strategy
Claude Code is coming to Slack, and that's a bigger deal than it sounds
Anthropic launches Claude Code in Slack, letting developers delegate coding tasks from chat threads. It's part of a shift toward AI-embedded collaboration that could reshape software workflows.
China’s entertainment industry is booming but needs some slack
The Communist Party is in a quandary
From micro-dramas to video games, Chinese entertainment is booming
But how much slack will the Communist Party give creators?
AI is letting some workers quietly slack off — until their bosses catch on
Some employees are keeping mum about how the technology is helping them get their jobs done in a fraction of the time it used to take.