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TLDR: Download the best disk cleanup app in existence from diskspace.io. A fun experiment in writing the same app three times (well kind of 4 times) with AI, and being as optimised and OS native as possible. My Mac recently filled its 1TB drive and my quest to find out where the space had gone was very frustrating. The existing tools for tracking down disk space were slow, clunky and it was impossible to use them until their 30 minute crawl of my hard drive completed. I decided to fix this by building a new app called Disk Space, which takes the great features of my favourite old time app Disk Inventory X, makes it blazingly fast and adds much improved file/folder deletion aesthetics so that you can clean up safely and quickly, as well as highlighting recently created files so you can find what changed more quickly. Let’s get nerdy The three versions, Mac, Windows and Linux, are all mostly independent, with just a little shared C++ code. My goal was to make each app as small, fast, as native to its environment as possible. This meant not using any of the more common cross platform libraries, and leaning on Claude to do the work. MacOS The MacOS version of Disk Space is written fully in Swift, with no dependencies on other libraries. This was the first version I built. It detects how many CPU cores your machine has and optimises itself to maximise the throughput. The size of the installed app is just under 1MB, with about 300KB of that being multiple sizes of the icon, so the app itself is just over 600KB in size. Not bad! Releasing desktop apps for the Mac is actually not too bad an experience. You can choose to put it in the App Store, but then it can be a pain to release a new version. Apple offer a free notarisation service that signs the built app with your Apple Developer credentials, and it works well. For this reason, you can simply download the MacOS version of Disk Space from the site. Windows The Windows version is a direct port of the Swift code to C++. Similar to the MacOS version it optimises its operation based on the number of cores, but it also checks if the drive being scanned is a spinning disk or a solid state drive. If it’s a spinning disk there’s no point running many threads against it, it’s physically incapable of responding, so it caps the number of threads. Since it it just pure C++ with no dependencies pulled in, the installer is just about 600KB, pretty cool. Releasing apps on Windows these days generally means you are forced to either release through the Microsoft Store or pay for quite expensive yearly fees to have your app notarized. Without this, the user will be shown very scary warning dialogs, making the app very hostile to use. Since this is a small free app, I went the Microsoft Store route. Linux The Linux version shares some of the C++ with the Windows version, especially the code that draws the multi-coloured tree map on the right. Similar to the Windows version, it checks the hardware of your storage to best optimize itself and otherwise builds the UI using Linux native code with almost not dependencies. The first version Claude recommended depended on the GTK libraries for the UI, which was convenient, but it meant that using the app on any system that didn’t include those libraries would force the user to download hundreds of megabytes just to get a 500KB app running. Luckily, within an hour Claude had completely rewritten the app to be almost fully self contained. This means that the Linux app, which is packaged as an AppImage file, is just about 600KB all in, and you can simply download it from the site. Epilogue This was a fun experiment in building an identical app for all three operating systems while keeping it as native and optimised as possible. The hardest part was the hardware setup required for testing. I now have on my desk: My MacBook Pro (my primary machine). I do most of my work on this, run Claude and do all testing of the MacOS app. A small but powerful Windows Desktop. This is pretty great, as not only can Claude build and test Windows apps on it, it can also build and test (to some degree) Linux apps too. I use this as the main machine for those two operating systems. An ancient, 2009 MacBook Pro 17″ that I installed Linux on just for building this app. I use this for testing the Linux version on a real machine, not just on Windows WSL. It works relatively well, but with just 4GB of memory I won’t be doing any development on it any time soon. Still, it’s great to make use of the old hardware instead of throwing it away – I knew there was a reason I hung on to it! … a lot of messy crap I need to tidy up. Any day now…. I can’t believe you read this far, thanks! Now go get Disk Space from diskspace.io, your hard drive will thank you
One of the absolutely coolest features of Kidz Fun Art is the ability to create Animations. This was initially inspired by watching my nieces creating an animation on another Android app, so I focused purely on the creation case. This worked well, where most animations were under 50 frames in length, as it takes time to create them. I later added the ability to import Gif images, since it was a relatively simple change – parse the Gif image into frames, save them and boom, you can edit and re-export it. However this exposed a problem: Gifs can be huge, and Kidz Fun Art didn’t work well with thousands of animation frames of data. I wasn’t sure where the bottlenecks were, but at some point the app would just crash if the Gif was big enough, of if the user created an animation over 100 frames or so. This is all now fixed, and the app comfortably imports multi-Megabyte Gif images and provides a better user experience when some operations (like deleting hundreds of frames) are not instant. Using AI to find performance issues & subtle bugs While I have always written the vast majority of the code for Kidz Fun Art by hand (using AI for more complex things like WebGL shaders and C++ based paint brush simulation), it’s been invaluable recently for reviewing and testing the code. I asked Claude Opus 4.8 (the current frontier model as of July 2026) to identify the bottlenecks and it did a great job. There were multiple places where I initially wrote a function to take an action on a single frame that would then save the full animation, but later reused this function in a loop over all the frames. This caused the full animation to be saved hundreds of times in a few seconds, crashing the app. The list of frame thumbnails at the bottom of the screen rendered all thumbnails up front. This is fine for 50 but not for 1000. When saving a Gif, the file was far too large. This is because it wrote each frame in its entirety to the Gif image. The Gif standard obviously supports just writing the pixels that changed from the previous frame, and I wasn’t doing that. Deleting a large animation would take multiple seconds, with not user feedback. This was fine for other media types as they are more or less instant, but in this case it let the user click around the app, then have unexpected things happen 5 seconds later. It made the app feel broken. Gifs that stored some frames with the option to simply restore the previous frame were not handled, making the import of some images be inaccurate. There were a number of places where race conditions between multiple asynchronous actions could cause bugs. The AI was very good at finding places where my code should have been waiting for one to complete before beginning the second. There were multiple places where memory leaks occurred, specifically with not cleaning up event listeners. It found them all. When leaving the app open for days or weeks at a time without a reload, this could have been a real problem. What is better now? Animations now scale up to very large sizes, with instant access to all frames. You should be able to import basically any reasonable Gif image, and it will be exported in a highly optimized manner, with perfect colour matching per pixel. When deleting a large animation, you are told it is being deleted immediately, so it’s obvious the app is doing what you asked it to do. When importing a large Gif, you are shown a dialog telling you that it is happening, and blocking you doing other work until that completes. Many subtle bugs fixed. The frame list is fully virtualized, and scales up to essentially any size of animation. We have tests now! Another great use of AI is for writing tests, in this case laboriously creating dozens of large integration tests. These were invaluable in both validating the deep changes being made and in finding more edge cases and race conditions. Kidz Fun Art now has full end-to-end tests covering animations, layers, comics, cards, drawing, colouring, handwriting, maths and puzzles. I hate writing these, but AI doesn’t get bored, and I look forward to adding more and more regression tests in the future to keep quality high for all the world’s young artists out there.
Way, waaayyy back in 2010, I built a fun little game for the Palm WebOS series of phones called Mazer. I was happy with it, loads of people downloaded and played it, and then WebOS died. I recently found the source code again, and with the help of Claude AI I rewrote it to run on iOS and iPad! Get it for free today from the iOS App Store. (Android version coming soon) There are four different game types You can find your way around a simple maze, or race a terrifying fiery ball to the finish. Over 120 hand crafted obstacle courses to get around with worm holes, force fields, evil fiery balls, and more. My personal favourite, a Pacman like maze where the four ghosts chase your little ball around as you try to open the portal and get outta there!
I’ve been using the Irish energy provider Energia for 5 years or so (as of writing, 2026) and they used to have a useful insights dashboard that let me analyse my power usage. Well, they seem to have removed it so I built a handy dashboard that anyone can use. It’s at https://energy.chofter.com/ , try it out! You simply download your power usage information as a CSV file (a spreadsheet) from their site, currently at https://energyonline.energia.ie/my-account/half-hourly-usage/ . Then drop the file into the web app and it will: Show a useful overview of your usage for the full time period You can configure your current home setup This includes specifying your current tariff, whether or not you have a home battery or a car Compare usage versus last year Shows a heatmap of your usage by every 30 minutes Simulate the change in cost if you change your home setup Try out what would happen if you kept your consumption the same but changed your tariff, or added a battery or a car. This one is particularly useful.
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After a write-up in the New York Times, Mommy Bloggers had two options. Either lean in, or step back. Given how popular it became after that, it's not hard to guess which option they chose. The post Mommy bloggers react appeared first on The History of the Web.
I'm quite a bit late on this one, but Haunt version 0.4.0 was released released back in July. I haven't had much time for blogging, but I'm catching up now! This release contains a small set of improvements and bug fixes since the 0.3.0 release in 2024. About Haunt Haunt is a static site generator that uses the Guile Scheme as its configuration language. It aims to be simple, functional, and extensible. Features include: Easy blog and Atom/RSS feed generation Markdown post support Simple development server for viewing edits before publishing Purely functional build process User extensibility Notable changes Added support for HTML in Markdown documents. This was a long time coming because guile-markdown did not support it and the library was abandoned by the original maintainer. As part of my work at Spritely, we forked it, implemented the relevant portions of the CommonMark specification, and released it. Spritely's guile-commonmark fork is now considered to be the official upstream by Guix and others. A further consequence of this is that guile-lib is now a required dependency for building Haunt as we need the (htmlprag) module to parse Markdown documents with embedded HTML. html->shtml from guile-lib's (htmlprag) module is now used instead of xml->sxml in the HTML reader. It was silly of me to use xml->sxml for this purpose years ago, but at the time I wanted guile-lib to be an optional dependency. Added haunt new subcommand for creating a new site. Added default directory, template, and prefix arguments to flat-pages procedure. Added support for index metadata flag to flat pages for pretty URLs. Flat pages now receive all page metadata, not just the page title. This is a breaking change from 0.3.0. Added .scm as an additional extension for sxml-reader. make-file-extension-matcher now supports multiple extensions. Fixed emission of <script> and <style> elements. Fixed handling of no available reader in flat pages builder. Fixed unreachable error handling clause when a reader is not found for a post. Fixed default blog theme template missing an <html> tag. Fixed overloaded -h option in haunt serve. Deprecated post in Skribe reader in favor of document. Download Haunt 0.4.0 is already available in Guix: guix pull guix install haunt See the Haunt project page for information on how to build from source. Thank you to Camilo Rodrigues, Noé Lopez, jgart, Jakob L. Kreuze, and Daniel Meißner for their contributions to this release! Happy haunting!
This is a transcript from a talk I gave at the German Perl Workshop earlier this year. If you'd prefer to watch the video recording, you can find it here. I have lots of photographic projects on the go. Lots of these being on film, as some of these I started shooting a long time ago. I don’t have any particular loyalty or attraction to film, it’s just that I started shooting many of these projects before affordable medium format digital was available. Since I mostly shoot medium/large format film I never really jumped to digital until recently, so film has continued to feature heavily in my workflow. That said, it’s a pain in the arse to shoot film now given the spiraling costs, limited availability, and issues around traveling with it: modern airport CT scanners, being rolled out across many airports, are much more convenient but will fog film. Asking for a hand inspection often comes down to arbitrary timing - how busy the security is, how experienced the operator is, or if you’re lucky/unlucky. I’ve had film forced to be scanned (and fogged) and politely argued with security on more than one occasion. I don’t want to deal with that so don’t travel with film anymore, thus I am shooting less of it and have mostly moved to digital. I still have a tonne of film I need to scan and process however. Here’s just some of the binders and files of film. I don’t plan to scan all of this, but I do plan to scan the ones I need to. Probably in the region of a couple of thousand frames. I want to scan to the highest possible quality (within reason) for archiving, book projects, and large prints. If you’re wondering how large I print, it can be up to 160x60cm panoramics for selling. This is restricted by the size of my printer (that’s another story). Three Years Ago Three years ago I almost bought a scanner. I ended up blogging about it and the post got a bit of traction on Hacker News (HN). I’m never quite sure which posts I submit will pique the interest of the users. I’ll spend months chipping away at a draft and when I post it it tanks. Or I’ll cobble something together in twenty minutes, like the linked one above, and it gets 440 points and over 300 comments… The thread had some useful suggestions and some not so useful ones, the not so useful ones being effectively “buy an Epson”: I’ve had one for fifteen years and it’s not good enough for large prints or archiving. It’s passable for web stuff and smaller prints, but for my recent use cases? Not even close. Ten years ago I had negatives scanned with a high resolution scanner for the first time and recently, wanting to scan my archives for various projects, I decided I should invest in one of those scanners. The Original Plan The plan, back in 2023, was simple: Buy scanner (at significantly reduced rate) Scan all my film Sell scanner Profit! And I mean profit - the scanner that I almost bought was being offered to me at about 2/3rd of the price they usually sell. And they’re becoming harder to find in working order so the prices are going up. Or profit in not having to pay > 25.- CHF per frame to have someone else do this. You can see the pricing from The Film Lab. You can read the original blog post to find out more about the scanner in question, so I won’t repeat it here. Other than the parts being relevant to the rest of this post, namely that the scanner was showing hard and soft problems. The software that drives the scanner was last updated in 2012, it’s proprietary and closed source, requiring 32bit architecture and no third party drivers or software exist. So you are stuck using old software/computers to run it. Or maybe you could use emulation / virtualisation? The problem there is that the interface is firewire, or SCSI on the even older models, and firewire is known to be problematic on these scanners as the controllers start to go bad after a decade of continued use. That’s a risk, and the scanner was very much EOL as the firewire controller was dying: both ports were bad that suggests controller, not ports. The scanner would have been €5,000 to purchase and then €3,000 (ish) to repair. Or, as HN suggested - just open it up and use a soldering iron. I’m not going to drop 5k on something and then start poking it with a soldering iron. I’ll pass on that thanks. Camera Scanning In the meantime I’ve been camera scanning, which you can read about in another blog post. But how does that compare cost wise? It’s expensive because you’ll need a high resolution camera, a macro lens, copy stand, negative carrier/holder, and quality light source. You’ll look to spend anything from three to five thousand Euros on everything. Camera scanning does actually work well, in that it’s close to a high resolution dedicated scanner. But you have to setup the entire thing every time you want to use it, including ensuring everything is straight and parallel. It also suffers from the same weakness as most other scanning methods. What do you think that is? Film Flatness Or lack thereof: Film is rarely flat, especially so with 35mm. These are pretty mild examples of curl. It tends to be flatter in the larger formats but then you get into flatness issues due to it sagging. The smallest difference in the film plane can cause major issues in sharpness due to focus fall off (film scanning is essentially macro photography). Any workflow or solution that does not take this into account is significantly compromised. And the workflow is only as good as its weakest part. This is the biggest problem in scanning film - all other considerations are more than adequate these days: resolution, dynamic range, etc. However, most negative carriers don’t keep the film perfectly flat. This has always been a problem - this is from a book called “Edge of Darkness” which is about traditional analog photography and printing, and summarises the problems of negative carriers thusly: “if you use a glassless negative carrier, you might as well just buy the cheapest enlarging lens you can find. You are simply throwing away the money and sharpness you paid for it in your enlarging lens, and also in your fine camera and the expensive lenses you bought for it… No film will lie flat in a glassless carrier. That’s right, none… There is no avoiding this issue. Use glass.” So you have to use (anti-newton ring) glass, which introduces other issues - you’ve now got extra glass in the transmission path, and dust (which isn’t a massive problem, but a pain nonetheless). You could use drum scanning, which is absurdly impractical from a cost and operating point of view. Or you could use a Flextight, the scanner I almost bought three years ago. Interim Solution I stuck with camera scanning, but wasn’t happy though, because of film flatness and the setup faff. So of course I started looking for another scanner. I was idly browsing near the end of 2025 and came across this one. It’s exactly the same spec as the one I tried three years ago, except SCSI not Firewire so less prone to failure. It just predates Hasselblad buying Imacon (so is pre the rebranding, etc). It was in Switzerland so I could inspect and pick it up. It was also significantly cheaper than the previous one I had looked at, so worth a punt even if I needed to take a soldering iron to it. We went to St Gallen for a weekend and I picked it up. Here’s the software interface back in my studio. Look at that marvelous interface! None of that liquid glass bollocks. The first scans were promising, but I had the sense things needed some TLC. The first thing was calibrating the focus, which the software can do in combination with a focus slide. I was lucky that the focus slide was included with the scanner and I’m not sure what I would have done otherwise. Probably paid a fortune for a replacement? Possibly a lot of manual trial and error with the software? After doing that I scanned images of the 1951 USAF resolution test chart (taken on ultra high resolution 35mm film): That’s what the resulting scan looked like. Notice that it’s sharp from edge to edge, corner to corner. At 100% crop we can resolve around 110 to 123 line pairs per mm, which equates to about 5,600 to 6,300 DPI. This is beyond the limit of most 35mm lenses, but importantly - exactly to spec for this scanner. So I was happy the focus was calibrated. If you’re curious this is the same target with the camera scanning setup. It’s close, but we’ve got another variable in the workflow, several even, and that impacts the results. It’s not as sharp, and the extra glass in the transmission path causes aberrations. Another thing that needed attention was the power supply. The seller mentioned that “sometimes it takes five minutes to warm up”. Sometimes it was more than five minutes, and the power supply would click click click away. So that needed fixing and it was easy enough to find a compatible new replacement, however it cost 200 Euros. Expensive! The third problem I noticed was that some of the scans were coming out stretched. Often about 10% too wide/long, sometimes more than that. My panoramics looked panoooooooramic. I did some research and someone suggested this might be a “buffering issue”, which I thought was nonsense. Doing some testing I heard slipping sounds when the scanner was pulling the film into the body. After more research I stumbled on a post that suggested the belts need replacing. I opened the scanner up, and sure enough: A ha! You can’t quite see that the one on the back is even worse. I replaced those with compatible belts: 535 synchroflex t 2.5/245. Problem solved. The fourth problem was that the film holders were old and/or had been mishandled. They were falling apart and held together with electrical tape or glue, which didn’t seem optimal. Replacements cost 350 Euros in total for the four I needed. They’re now available cheaper from China, since the patents have expired. Or, you know, China. They used to cost about 200 Euros each from Hasselblad. The fifth problem, which is a potential one and hasn’t manifested yet, is that the lamps may eventually need replacing. I picked up a couple for 25 Euros. That seemed like a reasonable thing to do while they’re still available. Success? Let’s add up the costs of acquiring this scanner and renovating it: Scanner: 1,750.- CHF Power Supply: 175.- CHF Belts: 25.- CHF Film Holders: 350.- CHF Lamps: 25.- CHF Total: 2,325.- CHF (c. 2,500 EUR) In the last year (since acquiring the scanner) I have scanned: c. 250 panoramics frames (~ 6,000 CHF) c. 2,500 medium format frames (~ 80,000 CHF) c. 200 large format frames (~ 9,000 CHF) The figures in parentheses are what it would have cost me to have that number of frames scanned by a third party. That is, er, quite a saving. Also quite a lucrative business model perhaps? I think I can argue the cost of the scanner was a very good investment, and I haven’t finished using it yet. Even if it were to stop working tomorrow, it has already paid for itself many times over. Could it stop working tomorrow? Yes, because of other issues that will be harder to solve. The Bigger Issue(s)? A Power Mac G4 (discontinued in 2004). This came with the scanner, the necessary hardware and software to drive it, and is almost certainly living on borrowed time. Spinning metal is never good in the long-term. I’ll maybe purchase a backup soon, as these can still be found for a couple of hundred Euros. The key thing though, is that this very expensive, very high quality scanner, will at some point be rendered useless by the upgrade treadmill because the software required to run it will be increasingly difficult to run. A scanner that is still used by businesses, educational institutions, and individuals like me. A scanner that originally cost tens of thousands of Euros less than a decade ago. The upgrade treadmill is constantly whirring away. This is from the top of the Seattle Space Needle. “Do not upgrade anything on computer”. Clearly that notice speaks of someone being bitten by an upgrade at some point. I wonder is anyone else feeling the fatigue? Security updates, sure I can understand. But feature creep and trivialities? No! What tangible benefits have the last ten, fifteen, or even twenty years of OS updates brought? Other than security, and compatibility with newer hardware? New hardware is great, really, but by association forced deprecation of older hardware. No! It feels like the upgrade treadmill gets faster and steeper every year. Add to that subscription lock-in and dead endpoints: “I couldn’t vacuum my house because an SSL cert had expired” is what someone told me earlier this year. Fortunately this person is a software engineer so ended up man-in-the-middling the network traffic to get the vacuum cleaner to work again (no SSL-pinning it seems). “GoPro is announcing the end of life of the GoPro Quik app for macOS, effective at the end of 2024”. They discontinued the former in favour of their mobile app, which requires an account, login, subscription, and so on. I just want to transfer the videos from the hardware, I don’t need any of this crap (I don’t need any of that crap, it turns out GoPro haven’t locked the device down enough to prevent using third party apps to access the files. Yet). And, of course, software has to be in everything. These days the scanner would/could have an embedded Raspberry PI? Just a keyboard and mouse input, monitor and USB output would reduce the surface area, connectivity issues, and software dependency. Or software is never done? Because: externalities. I guess software is “done” when it’s no longer supported? Marciano Planque has a good piece on this: When hardware products reach end-of-life (EOL), companies should be forced to open-source the software. I think that’s a fair thing to say. I suspect Hasselblad/Imacon never open-sourced the software due to licensing issues. Or they just lost the source. Or they just don’t care, I don’t know. Maybe some combination of the three. And, inevitably, discontinued hardware like this scanner. Or, that is to say, discontinued parts? What about regulation changes? The panoramics I shoot are with a camera that was discontinued in 2004 because EU regulation banned lead solder in circuit boards. The company decided redesigning the parts wasn’t worth it. Old hardware has new exciting ways to fail. As time goes on components will fail or loosen - components that were expected to last decades. Then that results in tribal knowledge, or worse link rot and QR code rot. A lot of this stuff is hidden in walled gardens. There’s a Facebook Imacon group, for example. Why in the ever-loving fuck is a group for technical people, by technical people, on Facebook? Then there’s misleading AI. “My flextight scans are coming out stretched, what might the problem be?” LLM’s have gobbled up all the right information, and all the wrong information. Or information that is massively out of date. Nowhere in the suggestions here does it mention the belts might need replacing, which, according to my own research, is the most common reason these days. Legacy Software A decade ago I wrote an essay that also hit the front page of HN: All Software is Legacy. I think it is still relevant today, some parts not so much given we are now in The Age of Prompt, but mostly it’s still true. Nicholas always said “legacy software is the ugly stuff that makes you money”, which I think is true. But now it’s the stuff that surrounds us, like when I want to withdraw cash (guess what software most cash machines are still running?). Or when I want to take a train - when I gave this talk in Germany I had to get from the airport to the city centre. The ticket machines were disabled with a sign saying “no longer in use, download the app”. Then register. Then buy the ticket. I just want to give you money. Or when I wanted to pay for parking while stopping off at some random town in the UK - the same situation as with the ticket machines. “Download the app, register, pay”. Fuck that, I went and parked somewhere else. I just want to park, I don’t want to fight with software. Or if I want to hire a bike (not pictured: the half dozen apps on my phone to hire a bike). And when I want to buy stuff from a shop… One of the self-checkouts crashed recently in the coop, rebooting into a version of SUSE Linux from well over a decade ago. We’re collectively creating more and more of this everyday, letting it out into the world where it becomes a future liability for someone or the death knell for something. A pile of bikes, an unplugged ticket machine, a top of the line but no longer driveable scanner. References Imacon Users Group (the non-Facebook group) The state of Hasselblad Flextight scanners (2019) 1951 USAF resolution test chart Vlads Test Target Printer Story Original Scanner Blog Responses to HN Camera Scanning All Software is Legacy Repair Cafe
The Tetris effect is one of psychology’s most easy to reproduce experiments. Simply spend a bit of time playing the eponymous game every day for a few weeks. After a little while, you’ll start recognizing familiar Tetromino shapes in clouds, buildings, and everyday objects. You might even see them appear before your eyes when you start falling asleep. Tom Tang Attention hijacking There’s one lesson the Tetris effect teaches us: whatever you focus on long enough will end up shaping your thoughts. This can be a good thing since it’s how we learn new skills and discover new ideas. Sadly, less and less of our attention is focused intentionally. Instead of picking what we want to see we let other people decide what is supposed to be good for us. Do you want to watch a video? YouTube knows you like cooking and art streams. But why not also recommend a few clips about the stock market bubble, global warming, and the war in Iran. Doomscrolling will make you stay longer and click on a few more ads. Do you want to listen to music? Just open a Spotify playlist and let the algorithm figure out what you like. Please ignore the AI slop they will insert in between real songs to avoid paying royalties to real artists. Do you want to know how your colleagues are doing? Too bad, LinkedIn will bury any relevant career news between the opinion of complete strangers. It is surely just a coincidence that those strangers happen to be shilling whatever Microsoft is invested in at the moment. Do you want the opinion of strangers on a product? Well those Redditors you wanted to ask are probably just a bunch of LLMs talking to a bunch of Russian trolls now. I hope you didn’t value their opinion too much. If, like me and most people, you spend the major part of your day focused on your device, there’s no doubt it’s affecting you. And when you let someone else dictate what appears on your screen, it’s the same as giving them the key to your brain. New York Said Back to an intentional internet The internet wasn’t always like that. Before recommendation algorithms where a thing, you had to decide what you would be doing on the computer. You didn’t really have one big app that you could open and order it to entertain you. Instead, you had a few dozen of bookmarks to websites, each with a specific idea in mind. A site for video game news, that one website with lots of tutorials, a blog about anime that didn’t update often enough, a wiki about a TV show from the 90s… Of course awful things existed on the web. We had Encyclopedia Dramatica and Rotten.com, but you actually had to put the effort to go there if you wanted. Nobody was going to put pictures of dead kids and far-right propaganda as a suggestion after a pancake recipe or a cat video. The good thing is that this intentional internet is still around. It has just been a bit buried below the corporate web, but it’s not very hard to find. After all you’re on this blog, so you probably already have a good idea about it. The main difference between this time and now is you. When you want to get back to reading blogs, RSS feeds, and finish that tutorial instead of doomscrolling shorts, you have to get used to a slower internet. One where content is not infinite and doesn’t get updated every click. But like every habit, the only thing you have to do is to keep at it. And if you pay enough attention to it, something will click in your brain.
