Author: Lee Keybum

Lee Keybum covers the companies that call themselves open while hiding the key under the doormat and billing users for the mat. His work tracks tech platforms, media companies, streaming empires, social networks, search engines, creator economies, and the corporate machinery that decides what people see before they know they are choosing. Keybum is fascinated by the gap between innovation language and extraction behavior. He writes about algorithmic incentives, platform dependence, digital monopolies, ad-tech fog machines, AI hype cycles, corporate media consolidation, and the strange new ways ordinary people become unpaid infrastructure for billion-dollar systems. His voice is skeptical, nimble, and allergic to press-release futurism. The future may be arriving, but Keybum wants to know who owns the tollbooth, who copied the key, and why the lock now requires a monthly subscription. Categories: Tech, Media, Business, Culture, U.S.
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    Ahold Delhaize Took Grocery Apps Offline; Shoppers Get the Human-Powered Backup Plan

    The grocery stores were open. Their digital front doors were having a less productive week. After Ahold Delhaize reported a cybersecurity issue and took some systems offline as a precaution, websites and apps for its U.S. grocery businesses were reported unavailable. The result was a familiar modern contradiction: the building is right there, but the app that helps you plan the trip has left the chat.

    What the company said about the incident

    In an October 13 update, Ahold Delhaize said it had taken some systems offline as a precaution after a cybersecurity issue in its network. The company said its investigation was ongoing and that, at that time, it had no evidence that customer or associate data had been taken. That is a limited update about what investigators knew then—not a final finding that no data was affected, and certainly not proof that data was stolen. Cybersecurity statements are not fortune-telling; they describe the evidence available at a particular point in an investigation.

    The practical disruption was clearer. Grocery Dive reported on October 14 that the websites and apps for the company’s five U.S. grocery banners remained unavailable. It also reported that stores and pharmacies were operating and described customer notices about online orders, including refunds for unfulfilled orders. The outage did not mean every service or location worked the same way, but it did leave digital grocery errands harder to manage for customers relying on those services.

    Open stores, missing digital errands

    CBS Philadelphia reported on October 15 that Giant Food’s website and app were still unavailable, while its stores and gas stations remained open. The report said customers with unfulfilled online orders would receive refunds. That is useful, but a refund is not the same thing as getting the planned groceries at the planned time. A family’s dinner schedule does not automatically accept “transaction reversed” as a side dish.

    This is the quiet dependence built into app-based convenience: when the digital layer fails, people may still be able to walk into a store, but they lose tools that can help organize an errand or place an online order. A missing digital front door can mean checking what is available in another way, changing plans, or making a trip that the app was supposed to help avoid. Those are ordinary inconveniences, not evidence of a wider data impact.

    Ahold Delhaize presented taking systems offline as a precaution in response to a cybersecurity issue. Its October 13 update did not establish a final data-impact finding; the dated reports documented unavailable services and the customer consequences they described. For shoppers, the immediate takeaway is modest but useful: stores being open does not mean every online service is working, and the company’s data statement was a snapshot of an ongoing investigation.

    The backup plan, for now, may involve checking with a store and doing grocery logistics with actual human legs. They remain reliable technology, though they have never once remembered the shopping list without help.

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    Apple and Epic Are Still Fighting Over the App Store Fee Math

    An October 9 joint status report in the Apple-Epic dispute records a disagreement over Apple’s production of documents concerning proposed commissions on purchases made through external links. 9to5Mac reported on the filing October 12. The report captures the parties’ competing accounts; it is not a decision on the fees or a finding about which account of the document search is correct.

    Two accounts of the document search

    Epic says Apple’s document production is inadequate and asks the court to set a November 1 deadline for production. That is Epic’s request, not a deadline the court has ordered. Apple disputes Epic’s characterization. According to Apple’s account, it agreed to broaden its searches and expects to make a substantial production later. The filing does not establish either party’s description as the definitive account, and it does not provide a specific later completion date.

    The parties do agree on one procedural point: Epic’s 60-day response period has not yet begun. That does not mean the commission dispute has been resolved or that the court has accepted either side’s position on the documents. It means the report describes an ongoing process, with the timing of the response period still ahead. The filing is a progress update, not a ruling wearing a tiny judge’s robe.

    Why the paperwork reaches users

    Records about how a platform sets fees can help clarify the rules developers must navigate when they offer ways to buy outside an app store. Those rules may affect which options developers choose to offer and, in turn, which choices users see. That is a reason the underlying documents matter. It is not proof that developers will pass a particular fee on to customers, or that prices will change.

    The immediate question in this report is narrower than the larger fight over app distribution and payments: what documents Apple will produce about the proposed external-link commissions, and when. Developers have an interest in understanding the terms of doing business on a major platform. Users have an interest in knowing what purchase routes are available and what rules shape them. Neither point tells us what the documents will show; the filing itself does not answer that.

    For now, the useful takeaway is modest. Epic wants a November 1 production deadline. Apple disputes Epic’s account, says it agreed to broaden its searches, and expects substantial production later. The parties say Epic’s 60-day response clock has not started. The proposed commissions remain undecided in this update, as does the dispute over the paperwork. The corporate maze is still open, now with two sets of annotations and no final map.

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    The Public Helped Take AI’s Early Risk. It Deserves a Dividend.

    When public grants, labs, universities, or taxpayer-funded research help shoulder AI’s early risk, it’s odd to treat the upside as an investors-only boarding pass. I read the terms: innovation deserves a reward, but the public shouldn’t be the silent partner that helped build the runway and got left at the gate.

    An American dividend is a proposal, not an existing policy or settled funding plan. Still, if the public helped pay for takeoff, it deserves more than a thank-you and an in-flight safety card while private investors get the view from first class. Big Tech can call that innovation; ordinary people might ask who picked up the tab—and why they weren’t invited to share the return.

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    The Internet’s Public Tab and Meta’s Private Receipt

    ARPANET, UCLA research, and DARPA belong in the internet’s origin story. Public and university work helped establish the foundations; Facebook arrived later as a private platform, and Meta built an advertising economy on top of the digital world people use. That isn’t the same as saying the public owned the whole internet or Meta took it over. It is a reason not to tell the platform’s success story as if every useful connection began with a company logo.

    Here’s my user-dividend audit: advertising and platform wealth on one side; ordinary people supplying attention, logging in, and accepting terms on the other. No legal claim to Meta’s profits is needed to ask why the rewards look so concentrated. The public helped lay some of the road. Our payout is access, a password reset, and another “agree” button. Somewhere, the tollbooth has a very good ad business.

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    Google’s Public Starter Kit, Private Jackpot

    Lee Keybum here, reporting from the Terms of Surrender: Google grew inside a publicly supported scientific and technological ecosystem, then turned that runway into a private empire. That does not mean one company invented nothing. It means Big Tech loves treating public research, public infrastructure, and shared knowledge like a free starter kit while presenting concentrated wealth as the natural ending.

    Meanwhile, the ordinary user gets search results, targeted ads, another service agreement, and a privacy bargain written in font size suitable for ants. Google’s checkout screen should include a tip jar labeled “Taxpayer contribution.” The question is not whether private companies can build useful things. It is whether the public that helped make the conditions possible should receive more than the privilege of paying with attention, data, and an afternoon clicking “Agree.”

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    Meta Wants Rent for the AI in Your Apps

    Meta’s latest definition of “free” is simple: Facebook, Instagram, WhatsApp, and Meta AI still let you walk in without paying, but the better chairs are increasingly behind a monthly desk. In its September 15 announcement, Meta introduced Meta One plans beginning at $2.99, including a $7.99 Core bundle and a $19.99 Premium tier. The apps remain open; the useful upgrades are waiting at the platform toll booth.

    Meta says those paid tiers will bring expanded AI usage along with additional expression, creator, business, and personalization features. That is not the same as saying every useful feature is disappearing from the free version. It is more precise—and somehow more irritating. The company is keeping the front door unlocked while building a growing hallway of doors marked “more capable,” “more expressive,” and “please confirm your payment method.”

    This is the corporate meaning of free: admission costs nothing, but convenience is itemized. Meta is not charging you to enter the mall. It is charging separately for the escalator, the fitting room, the comfortable bench, the shopping assistant, and the chatbot explaining why the escalator improves your lifestyle. TechCrunch described the move as part of Meta’s expanding subscription push, while TechRadar captured the user reaction that some people might prefer paying for less AI rather than more of it.

    For ordinary users, the issue is not that Meta is allowed to sell subscriptions. Companies can charge for premium services. The issue is the steady relocation of the attractive parts into a paid layer while “free” remains the friendly label on the front gate. Lee reads the terms so you do not have to, and this one comes with a subscription barnacle: the platform is free to enter, but the richer experience increasingly arrives with monthly rent attached.

    Meta may call this a free core with optional upgrades. Users may call it an airport: free entry, separate charges for the seat, Wi-Fi, luggage, gate access, and the chatbot explaining why all four fees are reasonable. At some point, “free” stops describing what the service costs and starts describing how carefully the company avoids saying what it wants to sell you next.

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    X Terms Update: Your Post, Its Texas Courtroom

    I read X’s new terms so you do not have to, and the workplace arrangement is magnificent: you create the content, supervise the autonomous coworker, accept responsibility for the coworker’s behavior, and waive the jury if the office catches fire. X’s September 9 terms-update notice says the changes take effect October 9, while the current Terms of Service preserve users’ ownership of their posts. That sounds empowering until the rest of the paragraph arrives wearing a necktie.

    Under the agreement, X receives broad rights to process user content, including language covering the use of posts to train AI. The user keeps the deed to the house but gives the platform a very generous key, a remodeling permit, and permission to teach the robots where the bathroom is. This is the modern platform bargain: your words remain yours in the sentimental sense, while the company gets practical permission to turn them into fuel for systems you did not build and cannot inspect.

    The responsibility clause is where the unpaid internship begins. X’s updated language addresses autonomous features and places responsibility for actions connected to those features on the user under the contract. That does not mean every user has already been found legally liable for every automated mistake. It means the paperwork is preparing the user to stand beside the robot when the robot says something reckless, breaks something expensive, or starts a small diplomatic incident in the group chat.

    Then comes the courtroom-shaped furniture. The terms direct disputes toward Texas in applicable circumstances and use arbitration, class-action waivers, and jury-trial waivers where permitted. The trade reporting around the update focused on the new anti-lawsuit provision, because apparently the platform wants a social network with the legal posture of a gated industrial park. You may still have rights depending on the dispute and the law that applies, but the agreement is plainly designed to reduce the ordinary user’s leverage before the argument begins.

    So here is the fine-print version of user power: you provide the material, supervise the machine, accept the risk, travel through the Texas-and-arbitration maze, and possibly arrive without a jury or fellow users beside you. X keeps the data rights and the courtroom advantage, while you receive no wages, no benefits, and not even a decent grievance department. Still, the button says “Agree,” which is apparently how a platform turns unpaid machine supervision into empowerment.

    Sources

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    ChatGPT’s Work Mode Took a Sick Day

    OpenAI presents Work Mode as the digital coworker who handles tasks, tools, and files, but on September 14 some ChatGPT Plus users could not reliably start or resume work. OpenAI’s status report described task errors and limited access to workspace tools and files before the company applied a mitigation, monitored the service, and reported full recovery. It was the oldest office problem in America: the person holding the assignment was unavailable.

    The outage was not described as a total ChatGPT shutdown, and it did not mean every user lost everything. That distinction matters. It also does not change the ordinary-user experience of opening a workplace tool and discovering that the workplace has temporarily become a waiting room. The cloud owns cab fare, but apparently it still needs someone to call in sick.

    This is the awkward gap in the AI workplace pitch. Companies want people to treat these systems like dependable infrastructure while the systems are still capable of turning a routine task into a small séance. A tool that organizes your workspace becomes infrastructure the moment your afternoon depends on it—not when the marketing department finishes adding a friendly gradient.

    So ChatGPT arrived late, misplaced the shared drive, and offered no useful explanation beyond the digital equivalent of “have you tried refreshing?” The problem is not that software can ever fail. Every system fails. The problem is selling an assistant as the coworker who keeps the office moving, then discovering that the coworker is unavailable when the meeting starts.

    Work Mode recovered, according to OpenAI’s status page. Good. But users are still allowed to notice the lesson: convenience software becomes workplace infrastructure when people depend on it, and infrastructure deserves more than a cheerful promise that the tab will probably come back. ChatGPT took a sick day, misplaced the shared drive, and still expects a performance review.

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    Blizzard Workers Just Unionized the Robot Boss

    Lee reads the terms so you do not have to, and Blizzard’s workers have apparently read them too. Nearly 1,900 employees ratified contracts that give them bargaining rights over workplace AI, 14 months of recall protection after layoffs, four additional weeks of severance, and continued hybrid-work provisions, according to the Communications Workers of America. That is a remarkable development in an industry where management can announce automation before anyone has explained which human is supposed to pay the mortgage afterward.

    Microsoft-owned Blizzard has now turned AI from an executive slideshow into a labor issue. Workers are not demanding that every server remain powered by a guy named Dave with a wrench; they are demanding a say before software changes their jobs, schedules, or bargaining position. The difference matters. “Efficiency” usually arrives wearing a company badge while the risk gets mailed to the employee’s house.

    The timing is especially tidy. GamesRadar reported that Microsoft’s gaming division was planning another 1,600 layoffs while Blizzard workers secured protections that do not prevent every future cut, but do make the consequences less one-sided. Recall rights, extra severance, and hybrid-work language are not a force field against corporate spreadsheets. They are the small legal umbrella workers carry while the platform cloud owns cab fare.

    Corporate AI culture often treats automation as weather: inevitable, impersonal, and somehow nobody’s responsibility. But weather does not schedule a meeting to decide whether your position is redundant. People do that, usually after describing the decision as a “transformation” and asking everyone to remain flexible while the floor disappears.

    So the robot boss arrived expecting to replace the staff and discovered that the staff had already negotiated its employment terms. Its first assignment is not firing everyone. It is attending a bargaining session with a calendar invite titled, “Discuss Your Future.” Somewhere in the cloud, an algorithm is refreshing its résumé and learning the oldest workplace lesson of all: the humans may not own the software, but they can still demand a vote before it becomes their boss.

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    ChatGPT’s Free Tier Just Found a Billion-Dollar Roommate

    OpenAI opened ChatGPT as a helpful conversation, then apparently discovered the spare room could produce a billion dollars a year. In its August 31 advertising announcement, the company said ChatGPT Ads reached a $1 billion annualized revenue run rate in under 200 days, with tens of thousands of advertisers already involved and more expansion planned. Lee Keybum has read enough terms of service to recognize the floor plan: the free assistant is becoming commercial real estate.

    That changes the ordinary-user bargain. You arrive with a homework question, a health worry, a breakup draft, or the desperate late-night search for a printer that does not require an app, and the platform sees a useful environment for advertising. OpenAI is not merely putting a billboard beside the chatbot. It is building a media business around the questions people ask when they think they are having a private-feeling conversation with software.

    OpenAI’s position is carefully drawn. Its advertising materials say ads may use conversation context to make them relevant, while advertisers cannot access private chats. The company’s ad policies also say advertising will not influence ChatGPT’s answers. Those are meaningful boundaries, and they are not the same as saying advertisers are reading everybody’s secrets or secretly rewriting every response. But privacy can be protected from direct sale while the conversation still helps organize the commercial neighborhood around the user.

    That is the part users are expected to accept with the serene confidence of someone placing a “do not touch” sign on a vending machine. The answer remains separate from the ad, OpenAI says, but the question has become valuable territory. Ask about running shoes and the platform may understand the aisle. Ask about dinner, anxiety, rent, software, or a birthday gift, and suddenly your emotional life has zoning potential.

    ChatGPT may not be selling your secrets to advertisers, but it has learned that every personal question is also a possible aisle in the digital supermarket. The chatbot insists the billboard in the kitchen is not part of dinner. Fine. Lee will still be reading the fine print before asking who gets the security deposit.

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