I talk to a lot of old people, those who were born in the 20th century, and if I ask them what the word “unalive” means, they usually have no idea what I’m talking about, except for some of them who have kids or who study Internet culture. This will, of course, probably seem very weird to most people who were born in or grew up in the 21st century. Just to recap for the olds: “unalive” is the word you use to represent concepts like dying, or death, or killing or being killed, on digital platforms where saying those words accurately will cause the algorithm to punish or censor you. Or, maybe, where the perception is that using those words will result in being censored by the algorithm, and no one is actually willing to find out what happens if you use the forbidden words. This sort of attack on people’s expression started on platforms like TikTok, where nearly all content is distributed through an algorithmic feed, but has since become ubiquitous in nearly all digital media that we see. In fact, these tics are now so prevalent that it’s routine to hear people using this kind of language in everyday life, even though there’s not yet an algorithm to appease in the physical world. I’ve heard people say, out loud, “he unalived himself”, in reference to someone dying by suicide. And all of this has become even more visible in recent days as online conversation has turned to discussion of the horrific lack of accountability around the tragic rape case at Cornell University. Across the Internet, people are routinely referring to the central crime in the case as r*pe or “grape” or even using the 🍇 emoji, without a second thought for what it means that the very word can’t be said online anymore. Or, at least, the assumption is that it can’t be said. To be clear, I am very much in favor of people using content warnings or sensitivity markers for content, and fine with people using abbreviations like “SA” for references to disturbing or triggering topics like sexual assault; we should provide people with as much context and control as possible when choosing what information they want to consume and when. I also know that sometimes, people use lesser terms for stressful subjects like death or assault to create a bit of ironic distance from painful or upsetting topics. But most of the different variations of wording and emojis are coming from trying to appease the platforms, and there’s a heavy cost for those who are worried about being mindful: If someone is using a tool to filter out content, it will no longer be effective because everyone is using misspellings and euphemisms and imagery to get around the algorithm. The spread of censored and mangled syntax is happening because people believe, or have experienced, that platforms will silence them for accurately describing the world in plain language. This shit is terrible, and it has to stop. You Were Not Born With These Constraints One of the things that’s most concerning to me is that an entire generation has grown up not realizing how extreme it is that their very language is being chosen for them by platforms run by people who hate that generation’s ability to express itself, and who hate the things it has to say. From their youngest days, this generation grew up watching people make stupid faces at them for YouTube thumbnails and never had a chance to reflect on the fact that those creators didn’t want to be humiliating themselves by making those expressions — the demands of the algorithms of Big Tech forced them to do that. The rituals of feeding the algorithm are so built into people’s everyday habits that they’re invisible to people who weren’t alive before today’s platforms took over. Every parent of my cohort remembers the first time they heard their toddler finish doing something cute in their living room, and then turn around and say, “please like and subscribe!” afterwards. It’s a ghastly, sickening feeling to confront the fact that our little kids were being brainwashed into thinking that every adorable thing they did should be followed by a prompt to provide data to Google. Over on Instagram, where people originally signed up thinking they were going to see someone’s vacation pictures, or shots of their cousin’s kids, you’re now stuck watching people beg for everyone to reply with cultish phrases in the comments, which will then earn them an obviously AI-generated response in return, all in service of “showing activity” to the algorithm, like it’s an angry god that needs a sacrifice. They’re just not sure exactly what the angry god wants. Your free speech was taken away from you, and the people who did it are the same ones who spent years pretending to care about “free expression”. They contrived examples of lack of free speech on college campuses while squashing protests, and cried crocodile tears about “cancel culture” while getting people fired for political criticism. Now they have no problem with billionaires deciding exactly what words everyone is allowed to say. Larry Ellison is not content with his family owning all of the movies and TV shows — his family has to control what words people are allowed to speak on TikTok, too. Elon Musk isn’t content to merely generate and distribute child sexual abuse material for profit — he wants to silence the messages of the few decent people who are foolish enough to remain on Twitter/X, too. (That’s why I wrote you a guide on how to get your organization off of that cursed platform.) Now that an entire generation has grown up using these Orwellian euphemisms, and all of the Big AI products are trained on the Internet that was created under this regime, do you think today’s AI tools even know that the real, uncensored world exists? If you can’t say “genocide” on any of the major platforms, yet those are the ones all of the Big AI tools used as their training data... well, then the AI tools sure aren’t very likely to know much about genocide, are they? Fuck the Algorithm Our creativity can be constrained by the language we use — our imaginations are limited by what we can think to say. If we’re trained to limit the words we speak just by habit, and those limits are put in place by people whose social, political, cultural and moral goals are the opposite of what we value, then our work is unalive before it is even born. The answer to this is simple: say what you mean. This will take, to some degree, courage. It may even take, I hesitate to say, some sacrifice. When I suggest this course of action to people, they inevitably say, “But it will cost me audience!” or “But what if I lose followers!” or “What if they demonetize me!” Okay, what if they do? What if they do. Are you willing to push on this? To make a point about it? To move to platforms where you can actually say what you mean? Or to remember that you already have platforms where you can say what you mean? On an email newsletter or podcast you can say whatever the hell you want and nobody can stop you. On my blog right here, I can even curse in a headline and it won’t affect anything about how my site operates. (And a reminder: Substack is not an email newsletter, and a Spotify show is not a podcast — they’ll be unaliving your distribution any day now.) If you are a 20th century relic like me, it is incumbent upon you to remind the generation that grew up inside the algorithm that another world is possible, and that we know this because we lived it. We were able to style a MySpace page in any way that we wanted; the code for LiveJournal was entirely open source so there was no part of the algorithm that was unknowable. A blog like the one you’re reading right now could be made by anyone, and put up for pennies, and nobody could stop it from being read by millions of people. (And that last one? It’s still possible.) If you are from this century, forget all that rambling bullshit about ancient history: all that matters is you getting what you deserve, because you’ve been fucked over by the same billionaires who’ve poisoned your planet and infested your world with slop. The best artists around you are invisible to you, and the most important statements by activists that you care about are being silenced. It’s not a conspiracy, it’s a system working as designed. And the proof is as obvious as the fact that the angriest activists you know can’t even talk about systemic abuses or state violence without having to put it in algorithmically approved speech or censoring their captions like they’re going to be read by 5-year-olds. It should make you furious. It is time to kill “unalive”. The response is simple: For every message you put out, start by saying what you mean. Don’t work backwards from what the algorithm wants or what a platform permits. Build a presence on every platform you can, even the ones where you have fewer followers or where you’re harder to find. Tell your audience that your speech being free matters more than corporate convenience. Keep saying it, and keep it positive: independence gets them better art, better information, and more connected communities. Build alliances with other artists, activists and people who share your values, and let them know you’re going to start sharing your work uncensored. Start releasing your work uncensored and see where the platforms push back. (You may be surprised: sometimes you were censoring yourself in anticipation of limits that weren’t even there.) If a platform does try to limit your reach or expression, make a LOT OF NOISE about it. Tell the press, rally your alliance, and spread the word on your other platforms, using the moment to build audience and raise support there. Get others to amplify the parts of your work that don’t violate platform policy, so the controversy drives people to the rest. Find the others pushing back on algorithmic control of expression, and raise and praise their work when they do the same. If we keep accepting the words that are forced upon us by TikTok and Meta and Google and all the rest, while platforms like Twitter/X allow the most hateful and harmful content in the world to be distributed completely unfettered, we’ll only see authoritarianism rise, and the harms against the vulnerable accelerate. But what breaks my heart almost as much is that we’ll see so many brilliant artists and activists and thinkers whose genius will be muted or silenced by mindless, heartless algorithms that capriciously decide who gets to say exactly what words, in what ways. I get angry every time I think about it. The tech tycoons get ever more brazen in what they’re willing to say publicly, boasting about how they’re going to cause the end of the world, or calling for ethnic cleansing, all while putting tighter and tighter reins on the speech and expression of ordinary people. It’s time for “unalive” to die.

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.