Voor de eerstejaarsstudenten van ROC Albeda is een van de belangrijkste onderdelen van hun studie aangebroken: de stage. Meestal zonder vergoeding, want kleine werkgevers zien het zo: „Als jij weggaat, heb ik jou iets van waarde gegeven: kennis.”

Jongeren zijn in tien jaar tijd anders naar geld gaan kijken, zegt docent burgerschap Merve Kilic. Ze kopen op afbetaling en laten zich, soms, verleiden door influencers. „Ik hoor vaker dan vroeger: ik wil snel geld verdienen.”

Thomas Hawk posted a photo:

Thomas Hawk posted a photo:

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Soms staan precies de verkeerde ramen op en zit alles zo tegen dat het net lijkt alsof je naar een Raptor engine zit te kijken. Het hellevuur brak uit in district Lat Phrao in het noorden van Bangkok, en volgens hulpdiensten zijn er tot nu toe "minstens 27 doden", volgens autoriteiten 18 vrouwen en 9 mannen. Altijd pijnlijk om dit soort verslagen te lezen: "Toen de brandweer aankwam, zaten nog veel mensen in het gebouw. Het vuur had zich al over de hele locatie verspreid, aldus de woordvoerder. (...) Veel slachtoffers zijn volgens Thaise media aangetroffen in de toiletten, waar zij vermoedelijk hun toevlucht zochten." Meer beeld onderstaand.

Brandende mensen ontnappen uit café

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Toestand

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OPINION In Disney movies, if you wish really, really hard for what you want, it happens. In British courts, not so much. Prince Redmondia really, really wanted to stop the evil barons from reselling on-prem Office and Windows licenses, and made a fairy tale argument in court to make it so. Our hero did not get its wish, not then, and not now with the UK Court of Appeals. The traditional reason companies dislike reseller markets is the obvious one that they don’t get any revenue. The law, however, has an even more traditional take on this: that once you’ve bought something you can do what you like with it. Is this true for software licenses? In Europe, explicitly yes. So Microsoft made the novel argument that its Office's suite's icons and help files made it a creative work that deserved copyright protection. For veterans of the Great Wars Of Software IP, this is arrant nonsense that should be jolly well tossed, and tossed it jolly well has been. This is especially bad news for Microsoft. Not only does the reseller market continue, but the company could be on the hook for billions in damages over its efforts to date to shut things down. By itself, this is bad enough. But wait, there’s more. Microsoft, like any modern blue-blooded software company, would much rather rent you its software than sell it to you. As anyone with the integer math skills of a seven-year-old can tell you, this is a bad deal. Thus, on-premises systems have to die off for this to work, but the sector is alive and well, and Microsoft is stuck with a valuable friend. It can't walk away. This could turn out very badly indeed, due to one of the lost battles of those software wars. That lost IBM, at the peak of its powers, the IBM PC market it had itself invented. Forty years on, it could do the same for on-prem Microsoft. The IP wars were all about what legal protection the law gave software companies. Could the look and feel of software be copyrighted? No. How about programming interfaces? No again, not by copyright or patents. Actual software, as source code or binaries, was copyright and couldn’t be used without permission — which makes Microsoft's claim that text files and clip art confer extra protection so ridiculous. A lot of this was already accepted in 1981, when IBM launched its PC. The hardware was easy to legally clone, it was barely more than Intel data sheets made flesh. The built-in BIOS chip with the software which linked that hardware to software, was safely copyrighted. IBM even published the source code, knowing that anyone who used even a tiny part of it would meet death by a thousand leathery-winged lawyers. The market swiftly rejected anything other than 100 percent IBM compatibility. Job done. It took start-up Compaq a year to blow that assumption apart. Get a team of programmers to affirm they’d only seen the BIOS interface, not the source, and get them to implement the interface in entirely new code. 100 percent compatibility. Zero liability. Just like that, IBM lost control of its own invention. Compatibility is the primary reason people stick with Windows and Office. The UI, behavior, feature set, and file format fidelity matter a lot more than raw function. As every Reg reader knows, there are fantastic FOSS answers for office productivity, ones that obliviate license fees, yet practically nobody wants to know. If only Windows and Office could be cloned with the same degree of fidelity as that PC BIOS. That BIOS was an 8K binary built from around seven thousand lines of 8086 assembler. The whole listing was an appendix in a ring bound manual. Office and Windows, well, who knows. As much as 200 million lines of code and multiple GB of binary. That’s a lot of ring binders. The sheer heft of the monster and the army of data warriors tending to it made it unassailable, and the Redmond tax inescapable. Until now. Any sufficiently advanced AI coder is indistinguishable from open sourcery. Set it loose on a product and ask it to duplicate and test. It would be expensive, and we’re probably not there yet. Once done, though, you have a whole new code base that will plug into an MS-powered organization like a clone BIOS into a motherboard. As with the PC market, you could go beyond compatibility and introduce features that people actually want. It’s not that the sums add up, or that the LLM coding models can demonstrably do this yet. It’s that what was once so clearly impossible it wasn’t worth thinking about is now within the realms of possibility. If someone bet you of a crate of decent malt whisky that this could happen in two years' time, would you take it? Two years ago, who wouldn’t. Now you have to think about it. Now think how big the stakes are for Microsoft. One of the few things finer on the tongue than a fine Islay scotch is the irony of a company using AI like a chainsaw chopping its own legs off. Prince Redmondia, be careful what you wish for. ®

AI discussions have moved past which model to run or which use case to tackle first. Enterprises developing their own private AI now face a more consequential question: where that AI should live. Drifting into public cloud because it feels familiar or delivers quick wins, without asking whether the environment meets AI's specific demands, tends to store up problems that compound with time. AI is not a transient workload. It is persistent, data-hungry, and deeply sensitive, drawing on proprietary information and embedding itself in critical workflows. AI depends on an organization's most valuable data to operate effectively, so control, privacy, and security cannot be treated as secondary considerations. Business systems and intelligence are best safeguarded in an environment the organization owns and governs. Enterprises building AI programs to improve business operations are making that choice, opting for private cloud infrastructure they can architect and evolve on their own terms. They are building AI a home, not checking it into a hotel. Why AI is different from other cloud workloads Most cloud workloads are reasonably portable and can be scaled, moved, or switched off without much consequence. Public cloud suits those portable workloads well, but AI is different. The days of AI serving one-time data analysis and decision support are over ; it now operates as a data-intensive workload driving performance, with security directly linked to where data resides. A well-functioning AI program improves through use, drawing on proprietary data and embedding itself in business processes. That creates real dependencies: on where the data lives, who has access to it, how the model is governed, and how the environment evolves. As Oliver Rowell, solution architect at Xtravirt, notes, the data sovereignty question organizations need to ask themselves is "who has the keys to your data?" Get the infrastructure wrong and the consequences compound. The more deeply AI embeds itself in workflows, the harder and more expensive it becomes to untangle governance issues, address spiraling costs, or move workloads to a more suitable environment. AI needs more than borrowed space As enterprise AI moves from pilot to production, organizations are rethinking where those workloads should run. Broadcom's Private Cloud Outlook 2026 found that 56 percent of enterprises are running or planning to run production AI inferencing in private cloud environments, while public cloud usage for the same workloads has fallen from 56 percent to 41 percent in a single year. The shift reflects a growing recognition that AI places different demands on infrastructure. Public cloud helped accelerate the first wave of AI experimentation, but production AI demands more compute power alongside low-latency connectivity, and generates sensitive data flows and new governance requirements that call for greater control over the environment in which it runs. Data sovereignty remains a central consideration for businesses handling sensitive information. Even when data is stored locally, foreign legal jurisdictions may retain access rights through the cloud provider, which is why organizations are placing greater value on ownership, predictability, and control. As Will Rodbard, master architect at Broadcom, explains: "As soon as you give parts of control away, somebody else has the encryption keys or access to the data, and you lose overall control. You can only control cost if you are in charge and in control over who can do what and when." For organizations running business-critical AI workloads, the benefits of full control extend beyond security and governance. Full control also provides greater visibility into how resources are consumed, which helps create a more predictable cost model as AI adoption scales. The closer AI sits to the systems, data, and policies that govern the business, the easier it becomes to manage risk, maintain compliance, and control long-term operational costs. Building a home for AI Building a home for AI does not mean abandoning cloud strategies; it means applying cloud principles in an environment designed around the organization's requirements. Private cloud, whether in an internal datacenter, a co-location facility, or a managed service provider environment, gives greater influence over how infrastructure is designed, how data is governed, and how AI services evolve over time. Platforms like VMware Cloud Foundation (VCF) make this practical. Automation, self-service provisioning, and policy-driven governance deliver the agility organizations expect from cloud, while retaining visibility and control over the infrastructure underpinning critical AI workloads. Private cloud also creates room for change. AI strategies, models, and use cases will continue to evolve rapidly over the coming years, and the organizations primed for private AI success will be those that build a flexible foundation capable of adapting as requirements shift. Where private AI creates real value The most effective deployments rarely begin with ambition; they begin with a clearly defined problem. "Those companies really succeeding with AI" says Rowell, "are those that identify an actual use case and nail that use case down." One clear starting point is documentation and knowledge search*.* Most organizations sit on vast stores of data that are fragmented across different systems and formats, which makes access difficult. Retrieval Augmented Generation (RAG) offers a useful solution: it is a practical way to unlock internal insights, delivering contextual answers from existing documentation without data leaving the environment. Xtravirt has driven rapid returns through RAG deployments for clients running on VCF. A second strong use case is secure coding environments. Development teams in regulated or air-gapped settings need AI-assisted coding support that stays within the perimeter. Private AI delivers the productivity benefits of AI-assisted development without the compliance risk of routing proprietary code through a public endpoint. The competitive case for acting now Much of the conversation around AI is driven by the fear of being left behind, and the gap between organizations that get their infrastructure right and those that do not will widen quickly. As Rodbard explains: "If you've got two businesses doing roughly the same thing and one has orchestrated and automated a lot of their business processes while another is still using manual labour, they're not going to be as reactive, not going to be as fast, not going to keep pace." IT teams have spent years being asked to do more with less. Private AI is one of the clearest opportunities to deliver on that promise, freeing people from high-volume, repetitive work so they can focus on what moves the business forward. Organizations that apply AI to practical business challenges can respond faster to change, make better use of existing resources, and create capacity for higher-value work. What to do next As AI moves into production, infrastructure becomes a strategic decision. The environment organizations choose today will shape AI's performance, governance, and resilience. Enterprises should assess where AI workloads should run, including the suitability of private cloud, the data they rely on, and whether the chosen environment supports long-term business goals. Working with an experienced partner such as Xtravirt can help organizations identify the environment best suited to their AI ambitions and operational requirements. From AI readiness assessments and cloud strategy development through to deployment, governance, and ongoing optimization, Xtravirt supports enterprises at every stage of AI adoption. Whatever an organization's starting point, the most important step is understanding where AI can create genuine business value and then building the right foundation to support it. AI needs a home, not a hotel. Visit xtravirt.com/own-your-cloud to explore the Own Your Cloud hub or get in touch to discuss where your AI program should call home. Contributed by Xtravirt.

Today's links

• Why aren't AI companies competing directly with their customers? Why sell picks and shovels if you've already struck gold?
• Hey look at this: Delights to delectate.
• Object permanence: Pro-logging Lorax; Anti-DRM picture book; Whose cops did America train? Day on a Device; Theresa May x Fresh Prince; Ratfucking Corbyn supporters; Infosec v W3C DRM; Remix Public Enemy; Hungary's Cold War cartoons; America is unpaving its roads; Olympic overruns are world champions; Vivendi lobbyist is now UN copyright boss; Boris's racism; Facebook's insider stalkers; Semantic drift, ethical drift.
• Upcoming appearances: Edinburgh, Sydney, Melbourne, Brighton, London, South Bend.
• Recent appearances: Where I've been.
• Latest books: You keep readin' em, I'll keep writin' 'em.
• Upcoming books: Like I said, I'll keep writin' 'em.
• Colophon: All the rest.

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Why aren't AI companies competing directly with their customers? (permalink)

"I often wonder what the Vintners buy/One half so precious as the Goods they sell" -The Rubáiyát of Omar Khayyám

I first encountered that quote from someone extolling the virtues of bookstores, and it stuck with me, because for most of my childhood, every bookstore visit ended with me broke and wishing I'd had three times as much to spend.

As a larval hyperlexic, I just didn't understand what a bookseller could possibly buy with my money that was better than the books they already had? Of course, then I became a bookseller and discovered that Sturgeon's Law ("90% of everything is shit") applies to a bookstore's wares as much as it does to anything else. I also acquired a monthly rent obligation and discovered just how important money could be.

Nevertheless, Omar Khayyám's question stuck with me, especially when I fell down a years-long rabbit-hole of learning about scams and the finance sector (but I repeat myself). Every get-rich-quick schemer will tell you that they've found the infinite money hack, which they will sell to you for a remarkably reasonable sum. Likewise, every stock picker claims they can outperform a simple low-load index fund, and all they ask of you is a few hundred basis points in exchange for multiplying your wealth beyond the dreams of Creosote. Neither one has a good answer to Khayyám's question: if you can make all the money with your amazing system, why do you need my money?

This is a question that needs to be forcefully put to AI hucksters. In their more expansive moments, the Altmans and Amodeis of the world will tell you that they're planning to teach the word-guessing program so many words that it will wake up and become god. DOGE's broccoli-haired brownshirts laughed in the faces of the NIH lifers who begged them not to vaporize their long-running cancer research projects: "General AI is around the corner and it's going to cure cancer. Cancer research is a waste of money!"

Which all raises the question: if you've truly incubated a foetal demiurge in your "AI lab," why are you offering to sell it to me? What do the AI hucksters buy/One half so precious as the Gods they sell?"

Of course, they might answer, "We need your money now so we can make god later." That's why they want your boss to fire you and replace you with their chatbots and split your wages with your former employer. But this just raises the same question: if you have a chatbot that can do a doctor's job, why sell it to a hospital? Why not just open your own hospital? If you've got a chatbot that can do a tax accountant's job, why sell it to a tax-prep service? Why not just open a tax-prep service? If you've got a chatbot that can teach my kids, why sell it to my local school district? Why not just open a school?

If the chatbot can do the job, and if the chatbot costs less than the worker who does the job today, then the chatbot company can profitably sell services more cheaply than anyone who presently employs that worker, because the chatbot company already owns the chatbot. If you were really on a glide path to creating an all-powerful deity and just needed cash to keep the venture going until the cancer-curing word-guesser awoke from its long slumber, then wouldn't you want as much cash as possible? Why would you voluntarily split the take with some sucky, washed, non-god-generating business from before 2022?

I think the only reason this question doesn't come up more frequently is that we're stewing in what Douglas Rushkoff calls the "go meta" economy, in which the most respectable and smartest business to operate must be as many abstraction layers away from real work as possible. Don't drive a taxi, own a medallion that you rent to the cab driver. Don't own a medallion, start a "rideshare" company. Don't start a rideshare company, invest in a rideshare company. Don't invest in a rideshare company, buy options to invest in a rideshare company:

https://pluralistic.net/2022/09/13/collapse-porn/#collapse-porn

The inverse relationship between doing something useful and making money is deeply ingrained in our economic wisdom. Take the world of online grifters, who don't just peddle get-rich-quick PDFs, they also peddle tools to generate get-rich-quick PDFs, as well as tools to steal other "wealth influencers'" insta videos and deepfake yourself into their pretend private jets:

https://www.404media.co/how-i-bought-a-private-jet-by-selling-10-subscriptions-to-404-media/

The scam economy boasts a bewildering array of ancillary services, like a $150/month service that lets you produce fake screenshots showing vast monthly income on other scam services (November Kelly calls this "The world's most expensive 'inspect element'"):

https://www.patreon.com/trashfuture/posts/faux-high-level-163443872

It's an old truism that in a gold rush, the only people who come out ahead are the people selling the picks and shovels. But that's not true – there's even more money to be made wholesaling picks and shovels to the retailers who operate the frontier mercantiles. Go meta!

https://commons.wikimedia.org/wiki/File:Alaskan_Gold_Mining_Supplies_(1897)_(ADVERT_277).jpeg

Today's economy is dominated by pick-and-shovel wholesalers. America is a gerontocracy drowning in MBAs, while there's no one to do eldercare:

https://www.msn.com/en-us/news/us/why-recruiters-can-t-find-workers-and-new-grads-can-t-find-jobs-it-s-not-ai/ar-AA27K57y

So it's not surprising that we don't ask why these AI god-botherers need our stupid money while they're immanentizing the eschaton. Why would they operate a hospital if they could go meta and sell the doctorbots to the MBAs running the hospital?

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Hey look at this (permalink)

• Mark Zuckerberg and Meta Deride “Headline-Seeking” Damages Sought By State AGs In Social Media Safety Suit: “Untethered From Reality” https://deadline.com/2026/07/social-media-lawsuit-damages-zuckerberg-1236977447/

• Zohran Mamdani's retro wristwatch is a Casio classic https://boingboing.net/2026/07/08/zohran-mamdanis-retro-wristwatch-is-a-casio-classic.html

• B.O.B. (Birds Over Big Bird) https://www.youtube.com/watch?v=fAXO7SXK0Pc

• A referendum for another development model https://thomaspiketty.wordpress.com/2026/06/23/a-referendum-for-social-justice/

• Introducing the Gap Map v0.1 https://www.currentai.org/blogs/introducing-the-gap-map-v0-1

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Object permanence (permalink)

#25yrsago Pro-lumber industry spoof of The Lorax https://web.archive.org/web/20010721042828/http://www.forestcouncil.org/news/articles/truax1.htm

#25yrsago Remixable vocal tracks from the next Public Enemy release https://web.archive.org/web/20010813195140/http://www.slamjamz.com/slamnews.php?article=7

#20yrsago Wikipedia creates RSS for its posts https://web.archive.org/web/20060718103013/http://www.micropersuasion.com/2006/07/wikipedia_entir.html

#20yrsago Anti-DRM picture-book https://web.archive.org/web/20060721095740/https://dustrunners.blogspot.com/2006/07/pig-and-box.html

#10yrsago The US has spent $122B training foreign cops and soldiers in 150+ countries, but isn’t sure who https://web.archive.org/web/20160713145824/https://theintercept.com/2016/07/13/training/

#10yrsago German free school teaches without grades, timetables or lesson plans https://www.theguardian.com/world/2016/jul/01/no-grades-no-timetable-berlin-school-turns-teaching-upside-down

#10yrsago For the first time, a federal judge has thrown out police surveillance evidence from a “Stingray” device https://www.rawstory.com/2016/07/federal-judge-throws-out-evidence-gathered-with-stingray-cell-phone-tracker/

#10yrsago Day on a Device: art made by screenshotting a multitasker’s screen with each context-switch https://www.theverge.com/2016/7/13/12170526/multitasking-phone-laptop-pierre-buttin-art

#10yrsago Remarkably Normal: the true stories of abortion in America https://web.archive.org/web/20160810092901/http://jezebel.com/the-vagina-monologues-but-for-abortion-1783289270/amp

#10yrsago Theresa May performs the Fresh Prince of Bel-Air theme https://www.youtube.com/watch?v=xv7Jd94bnOI

#10yrsago UK Labour’s dirty trick excludes 130,000 members from leadership vote https://web.archive.org/web/20160712225142/http://www.itv.com/news/2016-07-12/corbyn-opponents-try-to-fix-vote/

#10yrsago Security researchers: the W3C’s DRM needs to be thoroughly audited https://www.eff.org/deeplinks/2016/06/call-security-community-w3cs-drm-must-be-investigated

#10yrsago Help Doctors Without Borders fill in the geodata blanks for vulnerable communities https://missingmaps.org/blog/2016/07/14/mapswipe/

#10yrsago Sign a book of congratulations for America’s new Librarian of Congress https://web.archive.org/web/20160718023555/https://action.everylibrary.org/congratulate_carla_hayden_today

#10yrsago Hungary’s Cold War cartoons were weird and awesome https://globalvoices.org/2016/07/14/the-fascinating-world-of-cold-war-era-hungarian-cartoons/

#10yrsago The ACLU has a roadmap for defeating President Donald Trump’s signature initiatives https://web.archive.org/web/20160715131734/https://action.aclu.org/sites/default/files/pages/trumpmemos.pdf

#10yrsago America’s infrastructure debt is so bad that towns are unpaving roads they can’t afford to fix https://web.archive.org/web/20160713170836/https://www.wired.com/2016/07/cash-strapped-towns-un-paving-roads-cant-afford-fix/

#10yrsago It’s official: the Olympics result in the worst budget overruns of any megaproject https://papers.ssrn.com/sol3/papers.cfm?abstract_id=2804554

#10yrsago Vivendi lobbyist appointed to run copyright for UN agency https://web.archive.org/web/20160717052135/http://keionline.org/node/2614

#10yrsago The long, racist history of Brexiteer Boris Johnson, the new UK Foreign Secretary https://www.bbc.co.uk/news/world-36792746

#5yrsago Facebook employees stalk users https://pluralistic.net/2021/07/14/who-watches-the-zuckmen/#pecksniffs

#5yrsago Semantic drift versus ethical drift https://pluralistic.net/2025/07/14/pole-star/#gnus-not-utilitarian

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Upcoming appearances (permalink)

• Edinburgh International Book Festival with Jimmy Wales, Aug 17
  https://www.edbookfest.co.uk/events/the-front-list-cory-doctorow-and-jimmy-wales

• Sydney: The Festival of Dangerous Ideas, Aug 23-24
  https://festivalofdangerousideas.com/cory-doctorow/

• Melbourne: Enshittification at the Wheeler Centre, Aug 25
  https://www.wheelercentre.com/events-tickets/season-2026/cory-doctorow-enshittification

• Brighton: The Reverse Centaur's Guide to Life After AI with Carole Cadwalladr (Brighton Dome), Sep 8
  https://brightondome.org/whats-on/LSC-cory-doctorow-the-reverse-centaurs-guide-to-life-after-ai/

• London: The Reverse Centaur's Guide to Life After AI with Riley Quinn (Foyle's Picadilly), Sep 9
  https://www.foyles.co.uk/events/enshittification-cory-doctorow-riley-quinn

• South Bend: An Evening With Cory Doctorow (Notre Dame), Oct 6
  https://franco.nd.edu/events/2026/10/06/an-evening-with-cory-doctorow/

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Recent appearances (permalink)

• Who Owns Your Tractor? (Growing the Future)
  https://www.youtube.com/watch?v=IU9eBPUZBI4

• You Bought it, They Break It (What Now? with Trevor Noah)
  https://www.podbean.com/media/share/dir-ir36t-2f4a1ac6

• Can AI be Saved From Capitalism? (Everyday Anarchism)
  https://www.everydayanarchism.com/192-can-ai-be-saved-from-capitalism-cory-doctorow/

• Lawfare Daily
  https://www.youtube.com/watch?v=T1KIwaYRs1g

• How to Think About AI (Organized Money)
  https://www.organizedmoney.fm/p/how-to-think-about-ai-with-cory-doctorow

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Latest books (permalink)

• "The Reverse-Centaur's Guide to AI," a short book about being a better AI critic, Farrar, Straus and Giroux, June 2026
  https://us.macmillan.com/books/9780374621568/thereversecentaursguidetolifeafterai/

• "Canny Valley": A limited edition collection of the collages I create for Pluralistic, self-published, September 2025 https://pluralistic.net/2025/09/04/illustrious/#chairman-bruce

• "Enshittification: Why Everything Suddenly Got Worse and What to Do About It," Farrar, Straus, Giroux, October 7 2025
  https://us.macmillan.com/books/9780374619329/enshittification/

• "Picks and Shovels": a sequel to "Red Team Blues," about the heroic era of the PC, Tor Books (US), Head of Zeus (UK), February 2025 (https://us.macmillan.com/books/9781250865908/picksandshovels).

• "The Bezzle": a sequel to "Red Team Blues," about prison-tech and other grifts, Tor Books (US), Head of Zeus (UK), February 2024 (thebezzle.org).

• "The Lost Cause:" a solarpunk novel of hope in the climate emergency, Tor Books (US), Head of Zeus (UK), November 2023 (http://lost-cause.org).

• "The Internet Con": A nonfiction book about interoperability and Big Tech (Verso) September 2023 (http://seizethemeansofcomputation.org). Signed copies at Book Soup (https://www.booksoup.com/book/9781804291245).

• "Red Team Blues": "A grabby, compulsive thriller that will leave you knowing more about how the world works than you did before." Tor Books http://redteamblues.com.

• "Chokepoint Capitalism: How to Beat Big Tech, Tame Big Content, and Get Artists Paid, with Rebecca Giblin", on how to unrig the markets for creative labor, Beacon Press/Scribe 2022 https://chokepointcapitalism.com

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Upcoming books (permalink)

• "The Post-American Internet," a geopolitical sequel of sorts to Enshittification, Farrar, Straus and Giroux, 2027

• "Unauthorized Bread": a middle-grades graphic novel adapted from my novella about refugees, toasters and DRM, FirstSecond, April 20, 2027

• "Enshittification, Why Everything Suddenly Got Worse and What to Do About It" (the graphic novel), Firstsecond, 2027

• "The Memex Method," Farrar, Straus, Giroux, 2027

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Colophon (permalink)

Today's top sources:

Currently writing: "The Post-American Internet," a sequel to "Enshittification," about the better world the rest of us get to have now that Trump has torched America. Fourth draft completed. Submitted to editor.

• A Little Brother short story about DIY insulin PLANNING

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This work – excluding any serialized fiction – is licensed under a Creative Commons Attribution 4.0 license. That means you can use it any way you like, including commercially, provided that you attribute it to me, Cory Doctorow, and include a link to pluralistic.net.

https://creativecommons.org/licenses/by/4.0/

Quotations and images are not included in this license; they are included either under a limitation or exception to copyright, or on the basis of a separate license. Please exercise caution.

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"When life gives you SARS, you make sarsaparilla" -Joey "Accordion Guy" DeVilla

READ CAREFULLY: By reading this, you agree, on behalf of your employer, to release me from all obligations and waivers arising from any and all NON-NEGOTIATED agreements, licenses, terms-of-service, shrinkwrap, clickwrap, browsewrap, confidentiality, non-disclosure, non-compete and acceptable use policies ("BOGUS AGREEMENTS") that I have entered into with your employer, its partners, licensors, agents and assigns, in perpetuity, without prejudice to my ongoing rights and privileges. You further represent that you have the authority to release me from any BOGUS AGREEMENTS on behalf of your employer.

ISSN: 3066-764X

Beloved actor Sam Neill has died, aged 78. Born in Ireland, the New Zealand actor was an honorary Aussie and called Australia his home for many decades.

Neill's talent saw him play a diverse range of roles - hero to villain - in an equally diverse range of films, including international blockbusters like Jurassic Park and indie films like Hunt for the Wilderpeople. Neill also starred in many small screen productions on television and the unforgettable Cinema Quarantine with gems such as Das Bad with Hugo Weaving and Das Bogroll with David Wenham. He was knighted in 2023 in recognition of his "outstanding contribution to film". Neill was also a vintner and a farmer, posting about his menagerie of animals including chickens Nicole Kidman, Magda Szubanski and Helena Bonham Carter — and his favourite duck, Charlie Pickering. Tributes are flowing, and Magda Szubanski (the human, not the chicken) perhaps sums it up best: "[H]e's just a one-off, such a talented, classy, beautiful, wry, warm human being. [A] really lovely man, and I'm just very sad for all who loved him and there are so many of us."