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For years, I’ve wanted to have a standalone version of Apple’s Touch ID authentication feature for my Mac, but without having to use an Apple keyboard. (I generally like their keyboards, but my daily driver keyboard these days is a big clicky mechanical beast.) I’d gone down various dead ends of trying to find substitutes, and even checked out the efforts where people had ripped apart expensive Apple keyboards just to scavenge the Touch ID sensors out of them. None of them quite solved the problem. So today, I’m sharing an open source project called Dashboard Touch, which lets you make your own Touch ID-style sensor for your Mac, using low-cost off-the-shelf part. It’s based on an extensive refactoring of the excellent tinyTouch project by Zimeng Xiong, who recently cracked the code on how to make a useful fingerprint scanner system that’s also reasonably secure for regular Mac users. (You should definitely check out his project and support his new hardware build if you’re interested in this stuff.) I took my own approach to this work because I wanted to focus a lot on having a friendly web interface for configuring exactly how the fingerprint sensor system works on your computer. When you get Dashboard Touch set up, it presents you with a nice web interface that runs right on your own Mac, letting you do things like set the color of the ring light on the fingerprint sensor, or capture your fingerprints so they’re recorded in the system. Behind the scenes, the way the system works couldn’t be simpler. You buy a little fingerprint sensor, and a small microcontroller, wire them together (it was actually fun to get back to soldering stuff!), and then plug them into your computer with a regular USB cable. After you run the setup script, you just go to the web interface and add your finger(s) to the system. Once you’re running, your Mac runs as normal, except any time the system prompts you to type in your password, you can just swipe your fingertip on the sensor and Dashboard Touch will type your password in for you. At a technical level, the device is actually literally pretending to be a keyboard. (You can look over the code on GitHub and get a feel for the approach pretty quickly.) After it’s installed, it’s basically a set-it-and-forget-it kind of thing. You don’t need to do anything else for it to Just Work. Your password is only ever stored securely on your Mac, and your fingerprints are only ever stored securely on your sensor. You can erase them at any time and nothing talks to the internet at all except the one manual update checker, where you can see if there’s a new version of Dashboard Touch, but only when you intentionally click the button to request it to do so. Overall, this isn’t the kind of system you should use if you’re protecting a bank vault, but if your computer is physically secure and nobody is going to have extended unsupervised access to your Dashboard Touch setup without your permission, you should be fine. Dash, not bored Personally, it’s been really fun to get back to making things. As you can see in my introductory video, I ended up creating an enclosure for my fingerprint sensor in my woodshop, so that it would match my desk that I recently built. Even creating and editing the intro video was a fun project that took me out of my usual comfort zone. Nearly every task in this project has had me stretching to do things that I’m pretty bad at, from firmware coding to security review to detailed carpentry to video editing. But I just love the idea of putting things out there again for people to hack on, and there's also something really satisfying about being able to be super-opinionated about the design and user interface of something after so many years of working on teams where I had to collaborate. (Even though I always got to collaborate with brilliant people, it's different when you get to pick every pixel!) I just also have been missing the era of the web when most of what I saw online was weird and fun things that regular people were building, and I realized that I can't mourn the absence of those kinds of projects unless I invest my own energy into building some of those kinds of things myself. So, here's one! Let me know what you think, and if you've got any ideas for how to make this thing better. Or, of course, if you find any bugs that I should fix. I hope you have fun touching the blinking lights!
The vast majority of the documents people use to do business are really quite poor. Presentations that make your eyes glaze over, memos that are inscrutable or unclear, and all kinds of artifacts that say more about how they were created than whatever message they were ostensibly trying to communicate. It's been one of my great frustrations for years, and a big part of why I wrote Make Better Documents a while ago. That post captured a list of the suggestions I've been giving people for years on how to make better, more effective documents that can actually do work for you, instead of fighting at cross purposes to your larger goals. To my great surprise, that list of suggestions on how to make better documents got a pretty huge response, and a lot of people told me they found it really helpful. So now, I've created a Better Documents skills.md file for people who use LLM tools like Claude to help assist them in creating business documents, to prompt their AI tools to make better documents by default. If you're not familiar, agent skills are simple text files that describe new capabilities or processes that LLMs can take advantage of when carrying out tasks. (They're Markdown files — more proof of how Markdown is taking over the world!) The way this skill works is that it's distilled the broad principles I outlined in that post into a series of 5 tests, covering areas like whether you've properly considered your target audience, whether the overall structure is correct, if you've overdone things with your formatting, and if things are named clearly, and then either generates a new file that follows those rules, or reviews an existing document to make sure it is obeying best practices. It's nothing too fancy, but I've been using it for a while, and shared it with a few friends, and people have told me they found it handy and it's improved some of their routine documents. I'm especially glad that people have found it useful even if they're the kind of folks who would never let an LLM generate a document on their behalf, but do think software tools are useful for things like spell check or grammar check. I see this as being a tool in that kind of category. If you're familiar with skills, the install process is really simple and works just like any other skill. This skill is totally free and open source (if you have improvements, send along a pull request on GitHub, or if you're not a coder type, just email me or hit me up on social media and let me know what fixes/suggestions you've got), so there are no encumbrances or restrictions on its use. I am curious if it's useful to people, especially if you find it handy to use more broadly at a company, so don't be shy to get in touch if you find it valuable. Here's to us all enduring fewer terrible presentations!
“[T]here can be alternatives. What we can imagine is, rather than the ChatGPT killer, a lot of different little AIs from little responsible players.” That’s me, in The Guardian a few days ago, trying to distill a message that I’ve been trying to get out as broadly as possible for quite a while now. It's sort of like hoping a comet will take out the major AI players and a bunch of smaller new players will be the smarter, better-adapted mammals that take their place instead. We’re in another one of those big inflection points for AI. Trump administration policymakers for AI suspended access to Anthropic’s newest product. All of these policymakers have a web of investments in competing players — including SpaceX, which is about to IPO — and the corruption and grift of this cohort are so extensive that it’s impossible to judge what the actual risks and reality are around any of these platforms or technologies, since no one involved is an honest broker. It’s a shame More broadly, there’s been the widespread pushback against AI culturally, one that is undeniably strongest amongst those who were born in this century. But the adoption patterns and usage data show that even younger people are using some AI tools. And that’s a pattern that we’ve seen before, with social media. We have a significant group of people knowing that a technology contradicts some of their values, preferences, or beliefs, but using it anyway. Sometimes it’s due to the coercive nature of the platforms themselves, and how they insinuate themselves into our lives, to the point where we don’t even realize we’re using them. Sometimes they are forced upon us by the creators of the platforms, since they have so much power over the devices we use, and the tools that we rely on for things like doing our jobs, or communicating with our loved ones or our communities. There are millions of people who don’t like that they’re using LLMs provided by the Big AI companies, but end up using them anyway. Just like there are hundreds of millions of people who don’t like that they’re on the giant social networking platforms like Facebook, but end up using them anyway. The feelings that people walk away from those experiences with are often guilt, or shame, or embarrassment, or resentment — all some of the most negative and destructive emotions that humans can experience. Actual alternatives But if people want to get the benefits of some of these technologies, without either the shame of supporting the harms of Big AI, or the unpredictability of being beholden to corrupt billionaires bickering with one another, there are finally starting to be other options. As I mentioned in (One) Good AI Is Here, it’s possible for creators working in their own communities to now make AI tools that serve their specific needs, without causing all the harms that make people object to Big AI. This feels like the true alternative to the narrative of “inevitability” that so much of the hyper-funded AI industry is trying to push, while also not forcing people into a quiet life of AI guilt if they still find some utility in some aspects of these tools. Right now, those who (rightly!) object to Big AI due to their platforms’ impact on the environment, or labor, or their extractive use of content without consent, or its many other potential harms, are generally not aware of, or often open to, the idea of there being small, human-scale tools created by and for communities that are accountable for those tools over time. But my suspicion is that it is not only possible to make these tools, there may in fact already be many of these tools in existence, and we’re just not as familiar with them because they’ve been quietly serving their specific niches without having multi-billion-dollar campaigns promoting them. What I'm unabashedly hoping to do (and I think the Guardian story reflects some momentum in that regard), is shift the narrative from focusing on running away from the bad thing in AI, to finding the good thing that we're running toward. There are alternatives that we could be affirmatively choosing, ones that look at questions like the one I asked more than a year ago, "[https://www.anildash.com/2025/05/01/what-would-good-ai-look-like/](What Would "Good" AI Look Like?")", and offer answers that might give us hope instead of just the righteous rage and anger we feel when we let our imaginations be constrained by the limits of what Big AI offers.
Last week, Apple released a parade of hardware announcements, and the one that captured the most attention across the industry was the $600 ($500 if you’re in education!) MacBook Neo, the brightly-colored low-end laptop that they launched to great fanfare. The conventional wisdom is that this product opens up Apple to the low end of the laptop market for the first time, radically changing the dynamics of the entire market, and throwing down the gauntlet to the garbage Windows laptop market, as well as challenging a huge swath of Chromebooks which tend to dominate in the education market. This is incorrect. Apple has, in fact, sold a MacBook Air with an M1 chip at Walmart for years, which it has intermittently discounted to $499 at key times like Black Friday and Cyber Monday. The single-core performance of that laptop (meaning, how it works for most normal tasks that people do, like browsing the web or writing email or watching YouTube videos), is very nearly equivalent to the newly-released MacBook Neo. But. A laptop with an old design, using a chip that has an old number (the M1 chip came out six years ago!), sold exclusively through a mass-market retailer that is perceived as anything but premium, presents an enormous brand challenge for Apple. It is, to put it simply, embarrassing. Apple can have low-end products in its range. They invest lots of effort in that segment of their product line, as the new iPhone 17e shows, making a new basic entrant to their most recent series of phones. But Apple can’t have old, basic-looking products that people aren’tt even able to buy at an Apple Store. And that’s what Neo solves. It’s a smart reframing of a product that is nearly the same offering as the old M1 Air: the Neo and that old M1 machine both have 13” screens, both weigh just under 3 pounds, both have 8GB of RAM, both start at 256GB of storage, both have about 16 hours of battery life, are both about 8”x12”, both have 2 USB ports and a headphone jack, and both of course cost almost exactly the same. They did add a new yellow (citrus!) color for the Neo, though. Wake up, Neo What was more striking to me was Apple’s introductory video, which clearly seems aimed at people who are new to Apple computers, or maybe people who are new to laptop computers entirely. They’re imagining a user base who’s only ever had their smartphones and are buying computers for the first time — which might describe a lot of students. There’s no discussion here of the chamfers of the aluminum, or the pipelines in the GPU cores, and there’s barely even the slightest mention of AI; instead, they describe the basics of what the laptop includes, and even go out of their way to explain how it interoperates with an iPhone. There’s also a very clear attempt to distinguish Neo’s branding from the rest of Apple’s design language. The type for the “MacBook Neo” name in the launch video, and the “Hello, Neo” text on the product homepage are a rounded typeface that’s so new that it’s not actually even an actual font that Apple’s using; they’ve rendered it as an image instead of a variation of their usual “San Francisco” font that Apple uses for everything else in their standard marketing materials. The throwback to 2000s-era design (terminal green, the word “Neo” — are we entering the Matrix?) couldn’t be more different from the “it looks expensive” vibes of something like the Apple Watch Hermès branding. In all, it’s pretty impressive to see Apple use its marketing strengths to take a product that is remarkably similar to something that they’ve had for sale for years at the largest retailer in the world, and position it as a brand-new, category-defining new entry into a space. To me, the biggest thing this shows is the blind spot that traditional tech trade press has to the actual buying patterns and lived experience of normal people who shop at Walmart all the time; it would be pretty hard to see Neo as particularly novel if you had walked by a Walmart tech section any time in the last three years. At a time when Apple has lost whatever moral compass it had, even though its machines still say “privacy is a human right” when you turn them on, we still want to see positive signs from the company. And a good one is that Apple is engaging with the reality that the current moment calls for products that are far more affordable. It is a good thing indeed when affordable products are presented as being desirable, when most of the product’s enclosure is made of recycled material, and when the lifespan of a product can be expected to be significantly longer than most in its category, instead of simply being treated as disposable. All it took was removing the stigma over the existing affordable laptop that Apple’s been selling for years.
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Today's links On the sincerity of AI bosses: Fascism is always an incoherent bundle. Hey look at this: Delights to delectate. Object permanence: 9/11 v spam; PalmOS x WTC collapse; Wifi x WTC rubble; Berlusconi sex rings; Tesco bans writing down prices; AI psychosis and the warped mirror; Conspiratorialism's causal chain. Upcoming appearances: Budapest, Berkeley, Edmonton, Boston, South Bend, Hudson, Calgary, Winnipeg, Vancouver, Victoria, Ottawa, Montreal. 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. On the sincerity of AI bosses (permalink) The word "fascist" comes from the Latin fasces, a bundle of sticks; the symbology here is that a single twig is weak and brittle, but bundled together, many twigs are strong. It's a sound political theory, because in politics, coalitions are everything: https://pluralistic.net/2025/01/06/how-the-sausage-gets-made/#governing-is-harder The problem with fascism isn't the idea of bundling together different groups: it's the incoherence of that bundle. The fascist coalition is a collection of people who want mutually incompatible things. When one part of the fascist coalition wins (say, if Nick Fuentes's neo-Nazis triumph), the other faction loses (Fuentes gets to murder Stephen Miller and turn his skin into a lampshade). The fascist coalition is a coalition of enemies who all hate each other and dream of exterminating one another, held in check by a strongman who uses flattery, favors and threats to keep a lid clamped tight on this pressure-cooker: https://pluralistic.net/2025/07/29/bondi-and-domination/#superjove In this regard, fascism is simply one end of the continuum of conservative movements, which are always about finding a way to "get turkeys to vote for Christmas." That's because, at root, conservativism is the belief that some minority (rich people, white people, bosses, men, etc) were born to rule and everyone else was born to be ruled over: https://pluralistic.net/2026/07/08/wilhoitian/#human-rights-v-property-rights By definition, "a minority that was born to rule" can't win an election, because they are a minority. Conservatives win electoral races by convincing people they intend to oppress, cheat and maim to vote for them through appeals to fear and hatred (racism, transphobia, sexism, anti-communism, etc): https://pluralistic.net/2022/03/09/turkeys-voting-for-christmas/#culture-wars Conservative political victories are always followed by economic misery for the conservative base, because the senior partners in the conservative coalition are the bosses who get richer by making workers poorer. Conservative rulers try to offset this with spectacular acts of cruelty against disfavored minorities, but this tactic only carries so far. Eventually, the electorate notices that despite terrorizing migrants and trans people, diesel is now $10/gallon and the guy responsible is now $1.4b richer than he was before the election: https://www.bbc.com/news/articles/cvgmv98ez3zo Workers and bosses aren't the only fracture line in the conservative coalition. Within conservativism, there are leaders who want mutually incompatible things and abhor one another: the white nationalists hate the Zionists; the misogynists hate the TERFs; the imperialists hate the isolationists: https://pluralistic.net/2024/07/14/fracture-lines/#disassembly-manual These fracture lines can be papered over while things are good, but they crack when things go wrong, and this is even more true of fascist movements than it is of other conservative coalitions. This is true of all fascists, so it's true of technofascists, too. The best-ever reference work on technofascism was just published: Naomi Klein and Astra Taylor's End-Times Fascism, which unpacks the apocalyptic ideology that dominates Silicon Valley, especially the AI cultists: https://naomiklein.org/end-times-fascism/ In a recent interview about the book with the QAA podcast, Astra Taylor explained how the contradictions of the technofascist movement are to be expected, because fascism is always an "incoherent bundle": https://soundcloud.com/qanonanonymous/end-times-fascism-feat-naomi Understanding technofascism's inherent incoherence is vital to making sense of the chaos roiling the AI cult at this moment, wherein you have AI people insisting that there must be a moratorium on AI development lest the word-guessing program awaken and devour the human race. This week on the Better Offline podcast, Ed Zitron discussed the outlandish, science-fiction inspired cult beliefs that dominate AI boardrooms with Adam Becker and Cal Newport: https://www.youtube.com/watch?v=0oVSnaINJ30 Becker is well-placed to discuss this. Like the hosts of the QAA podcast, he started paying close attention to the bizarre beliefs of conspiratorialists long before the rest of us realized that no matter how preposterous their certainty about the imminent machine intelligence Singularity was, these beliefs are sincerely held by some very wealthy and driven people. Becker's 2025 book More Everything Forever is a tremendous field guide to these delusions and their profound philosophical and technical deficits: https://pluralistic.net/2025/04/22/vinges-bastards/#cyberpunk-is-a-warning-not-a-suggestion In the interview, Newport dismisses the theory that the warnings about imminent AI apocalypse are self-serving criti-hype intended to serve as both marketing pitch and regulatory capture gambit, through which the hyperscalers get the government to step in to interrupt the beggar-thy-neighbor doom-loop: https://pluralistic.net/2026/09/16/beggar-thy-neighbor/#red-queens-race Rather, Newport says that these people sincerely believe that they are about to immanentize the eschaton and are pants-wettingly terrified about the AI god they will conjure forth any day now. He makes a good case for this, pointing to the long history of words and deeds on the part of various AI bosses that suggest that they are true believers who are genuinely high on their own supply. I don't doubt that there are sincere believers in the AI technofascist coalition, but that does not preclude the possibility that they share their boardrooms and executive rows with cynics for whom this is all a shuck, a scare-story to convince the rubes that their modestly useful utility software is really a nascent "superintelligence" and thus capable of replacing all their workers, which means they should fire all those workers and start sending their salaries to AI companies. This is an example of one of those "incoherent fascist bundles." Just as Mike Pence (a misogynist Christofascist) was happy to share the White House with Trump (a godless pedophile rapist), AI companies can and do thrive by filling their executive ranks with Singularity-crazed maniacs and sharp operators who are happy to spread this superstitious nonsense if it helps them pump up their stock swindle. Each group thinks they're using the other one, and they are…up to a point. When it comes to the current AI nonsense, that point came when Nvidia's best customers started to demand that everyone stop buying Nvidia's products, whereupon Nvidia's CEO suddenly remembered that his chips weren't being used to make god, but rather, to power regular-degular "cloud software": https://cxotoday.com/governance/nvidias-jensen-huang-crosses-swords-with-ai-labs-over-regulation/ When it comes to technofascists (and all fascists) this kind of division isn't an exception, it's the rule. The billionaires behind AI are split between solipsists who don't believe other people are any more real than bots; and cynics who think that bosses will be easy marks for a sales pitch that sees them replacing mouthy workers with pliable chatbots: https://pluralistic.net/2026/08/03/andor/#either To be a senior member of the fascist coalition, you must be capable of both sincere belief while not openly dismissing your fellow senior members' contradictory sincere beliefs. Behind closed doors, they may make fun of each other (or fantasize about murdering one another), and they may periodically erupt into plots to oust one another from the coalition. But every one of them must be able to go along to get along… Most of the time. Until they don't. Hey look at this (permalink) The High Crime of “LMAO”: How Cops Are Treating Mass Surveillance As a Joke https://www.eff.org/deeplinks/2026/09/high-crime-lmao-how-cops-are-treating-mass-surveillance-joke Rethinking space opera https://www.antipope.org/charlie/blog-static/2026/09/rethinking-space-opera.html EU wants Canada to become ‘associate member,’ von der Leyen says https://www.politico.eu/article/eu-wants-canada-to-become-associate-member-von-der-leyen-says/ The Trump Administration Creates a Monopolization Machine https://prospect.org/2026/09/16/trump-administration-creates-monopolization-machine-small-business/ a bad tool always blames the workman https://backofmind.substack.com/p/a-bad-tool-always-blames-the-workman Object permanence (permalink) #25yrsago 9/11 v spam https://memex.craphound.com/2001/09/17/through-most-of-last-week/ #25yrsago PalmOS picture of the WTC collapse https://web.archive.org/web/20010920145653/https://ne.nikkeibp.co.jp/english/2001/09/0914pda_watch.html #25yrsago Wifi emanating from the WTC rubble https://web.archive.org/web/20010916231834/http://dailynews.yahoo.com/h/nm/20010916/tc/attack_wert_dc_2.html #15yrsago Silvio Berlusconi prostitution-ring wiretaps: sex with eight women in one night, “I’m only prime minister in my spare time” https://www.theguardian.com/world/2011/sep/18/silvio-berlusconi-wiretaps-sex-parties #15yrsago Tesco threatens journalist with arrest for writing down prices https://www.theguardian.com/money/blog/2011/sep/16/tesco-shopping-supermarket-prices-check-writing #1yrago AI psychosis and the warped mirror https://pluralistic.net/2025/09/17/automating-gang-stalking-delusion/#paranoid-androids #1yrago Conspiratorialism's causal chain https://pluralistic.net/2025/09/17/cause-and-effect/#things-have-causes Upcoming appearances (permalink) Budapest: Brain Bar, Sep 17 https://brainbar.com/munkatars/cory-doctorow Berkeley: Celebrating 25 Years at the Digital Frontier (Samuelson Clinic), Sep 24 https://www.law.berkeley.edu/experiential/clinics/samuelson-law-technology-public-policy-clinic/samuelson-25th-anniversary-celebration/ Edmonton: Elbows Up (Edmonton Public Library), Sep 28 https://www.epl.ca/blogs/post/elbows-up-with-cory-doctorow/ Boston: The Post-American Internet: Possibilities for a new internet created by an American Hermit Kingdom (MIT Media Lab), Sep 30 https://www.media.mit.edu/events/the-post-american-internet-possibilities-for-a-new-internet-created-by-an-american-hermit-kingdom/ Boston: The Paradox of Enshittification and Reverse Centaurs (Harvard Berkman Klein), Sep 30 https://cyber.harvard.edu/events/running-harder-falling-faster-paradox-enshittification-and-reverse-centaurs South Bend: An Evening With Cory Doctorow (Notre Dame), Oct 6 https://franco.nd.edu/events/2026/10/06/an-evening-with-cory-doctorow/ Hudson, OH: Hudson Library, Oct 7 https://engagedpatrons.org/EventsExtended.cfm?SiteID=3850&EventID=596952&PK= Calgary: Wordfest, Oct 8 https://wordfest.com/2026/show/wordfest-presents-cory-doctorow-2026/ Winnipeg: McNally Robinson, Oct 9 https://www.mcnallyrobinson.com/event-18991/An-Evening-with-Cory-Doctorow Vancouver: Read, Resist, Repair, Rejoice (Vancouver Writers Festival), Oct 19 https://writersfest.bc.ca/festival-event-2026/01 Victoria: Munro's Books, Oct 20 https://www.munrobooks.com/events/6113620261020 Vancouver: Life After AI (Vancouver Writers Festival), Oct 22 https://writersfest.bc.ca/festival-event-2026/46 Ottawa: Life After AI (Ottawa Writers Festival), Oct 24 https://writersfestival.org/event/life-after-ai Vancouver: BC Policy Solutions Gala, Nov 12 https://bcpolicy.ca/gala/ Montreal: World Science Fiction Convention, Sep 2-6 https://montreal2027.ca/en Recent appearances (permalink) Could Tech Bosses Destroy Life As We Know It? (Politics JOE) https://www.youtube.com/watch?v=PL4VktU0SgY Are 'AI Apocalypse' Warnings Just Marketing? (What's Left) https://www.youtube.com/watch?v=IXd9HwIE5bo The Real AI Threat Isn’t What You’ve Been Told (The Tea with Myriam François) https://www.youtube.com/watch?v=Vc8It00fRsA Fascists may come after the AI bubble bursts (You&AI) https://www.youtube.com/watch?v=J2WN64aQeYQ What Would a Normal Person Do (Trashfuture) https://www.patreon.com/trashfuture/posts/what-would-do-169247456 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 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 Colophon (permalink) Today's top sources: Currently writing: “Once Is Enemy Action,” a science fiction novel about the origins of modern technofascism. Today's words: 501 (15980 total). "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 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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There's a lot of polarising discourse right now about the threat AI poses to humanity. Some think it's a farce and others think we face extinction. Here are my thoughts.
A middle ground between the cybersecurity and AI safety communities
An overview of the current state of the engineering market and the AI skills that are in demand
