Latest Posts (20 found)

Cloudflare killed Deno and look I’m on TV!

“Didn’t you already say goodbye to Deno? Get new material!” I know, I know, but not even a week after declaring my friendship over with Deno they actually killed Deno! The runtime is going away, and sorry call me pessimistic, but I highly doubt a community fork of any value will survive for long. We will support the Deno runtime for another year with monthly releases containing bug fixes and security updates. After that year we will end our development of the Deno runtime. Deno is joining Cloudflare - Ryan Dahl There’s even a Fireship video on YouTube! Guess who gets a namecheck? I’m not going to risk embedding Google cookies so here’s a link: “The runtime wars are over… and Node won” (YouTube) . I also found my way into the lead story of JavaScript Weekly . It’s sad but telling that negative opinions and news around Deno has received the most attention. I have nothing new to say (until my Cloudflare exposé) but I do want to look back on my journey with Deno. People who’ve only read my recent posts on Deno assume I was just a hater. Far from the case! I was all-in on Deno and wanted it to succeed. While it’s true that my disdain for what the tech industry has become leaked into my criticism, I’d say it was fair and accurate. The Deno runtime was truly ahead of it’s time. It felt like using Node from the future (now Node today). The runtime was forgotten in favour of whatever tech start-ups do. My doubts grew by mid-2024 but I regained brief optimism with the Deno 2.0 relaunch. I didn’t realise I’d written this many posts: You may have noticed my interest in Bun in my earlier writing. That was before I learned it was not a serious project. We don’t use vibe-coded fash-tech in my house. Deno was my platform for fun side projects (and Advent of Code ). I experimented with many silly ideas. A few turned into something practical that I still use today. The SMTP adventure was a disaster, but technically it worked! My private git LFS server has been rock solid. I actually found a use case for the HTTP proxy (blog post to come). For reasons (sigh), I’m losing interest in publishing open source code and writing tutorials. My self-hosted journey has stalled because I can’t afford anything anymore. Tech sucks now. But I’m finding enjoyment in fighting for an open web (for humans). I’m having fun too blogging more non-technical topics and getting back into design. I am no longer a JavaScript bro and that’s probably a good thing! Thanks for reading! Follow me on Mastodon and Bluesky . Subscribe to my Blog and Notes or Combined feeds. Built with Deno (Mar 2021) Deno Builds on Netlify (Jul 2021) JSR: First Impressions (Feb 2024) JSR: Second Look (Mar 2024) The Deno Package Paradox (Aug 2024) JSR and Deno: Final Review (Aug 2024) Hey! Deno 2 looks fun! (Oct 2024) Deno’s Decline (6 Regions and Falling) (Apr 2025) JSR & Deno One Year Later - Malware?! (Jun 2025) Ditching Deno KV (Jun 2025) 404 Deno CEO not found (Mar 2026) Friendship ended with Deno, now Node is my best friend (Oct 2026) Deno Stream Deck (Oct 2022) The one where I used Deno’s foreign function interface to manage a USB peripheral. SvelteKit and Deno with OAuth and Deploy (Jun 2023) The one where I built and maintained a Deno Deploy SvelteKit adapter. Get in Line, Deno! (Oct 2023) The one where I used Deno’s streaming APIs to efficiently seek lines. Git Granary (Jul 2024) The one where I built a git large file storage server that I still use today. HTTP Tunnel and Proxy in JavaScript (Oct 2024) The one where I piped two streams together to create a simple HTTP proxy. I Let The Emails In (Sept 2025) The one where I wrote a bare bones SMTP server with Deno.

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🏃🚶 The unofficial Current San Francisco 2026 Run/Walk 🏃🚶

It’s been a few years since Current (and before that, Kafka Summit) was in San Francisco, but here we are—on November 4 & 5 we’ll be there, and I’m excited to continue a tradition that started back in 2019 with a run over the Golden Gate Bridge .

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2026-10-16 13:51: The amount of AI generated sales emails I get these days is astonishing. If you...

The amount of AI generated sales emails I get these days is astonishing. If you can't be arsed to write your own sales pitch, why the fuck should I be arsed about your product? Thanks for reading this post via RSS. RSS is ace, and so are you. ❤️ You can reply to this post by email , or leave a comment .

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Razer Basilisk V3 Pro 35K Phantom White Edition

In 2024 I replaced the Logitech MX Master 3 that I had been using since 2021 with a Razer Basilisk V3 Pro and Razer’s Mouse Dock Pro. The Basilisk did what the Logitech never managed to do, namely work without connection stutters, lags and dropouts. It also charged wirelessly on its dock and came with the same free-spinning scroll wheel that I had gotten used to on the MX Master, while being lighter and not covered in rubber that got quite disgusting to touch over time. Since then it has been my mouse at most desks , as well as on the road, where I bring it on almost every trip, even though my setup is mostly keyboard-driven. There was nothing wrong with the V3 Pro that I had. The main difference between it and the Basilisk V3 Pro 35K, which Razer released in October 2024, is the newer Focus Pro 35K sensor that replaces the Focus Pro 30K. However, I really like the transparent tech aesthetics of the 2000s, and when I came across the 35K in Razer’s translucent Phantom White edition at TSUKUMO eX. in the Akihabara district of Tokyo, I bought it anyway. I want to see more companies move away from the boring, muted look of today’s hardware and bring back the transparent tech look. This post is a review of the Phantom White from the perspective of someone who had used the regular V3 Pro for two years. It covers what Razer changed between the two, the engineering inside, and where Linux compatibility is at. Disclosure: I paid for the mouse with my own money and have no relationship with Razer. The opinions in this post are entirely my own. Razer introduced its Phantom collection in June 2025 with translucent green versions of the Basilisk V3 Pro 35K, the BlackWidow V4 75% keyboard, the Barracuda X Chroma headset and the Firefly V2 Pro mouse mat. In October 2025 the same four products followed in translucent white, together with a Kishi V3 controller for phones, under the name Phantom White. In Japan the Basilisk went on sale on November 7, 2025, at a suggested price of ¥28,980, which is ¥2,000 more than the black and white versions of the 35K. In the US the difference is $10, with the Phantom White at $169.99. Not only is the shell translucent, but so are the side grips, the cover on the underside and even the housing of the wireless dongle, which Razer refers to as color-matched components . The shell, however, isn’t as clear as Razer’s product renders make it look. The top in particular has a milky finish that is half white and half see-through, and the internals show through it as faint shapes instead of in detail. It’s apparently the same for the green version, with the interior only faintly visible through a shell that isn’t fully clear. Making a mouse translucent takes more than swapping the plastic. Razer’s Global Head of Design, Charlie Bolton, explained in an interview that the products in the Phantom collection weren’t designed to be transparent in the first place, and that Razer had to redesign a lot of their internal structure. Razer’s own marketing speaks of reengineered internals and meticulous wiring without going into detail. The only differences that I could find documented are that the Phantom editions have only 12 individually programmable LEDs instead of the 13 of the black and white 35K, and that Razer publishes a separate firmware updater for them. Which of the lighting zones was dropped, and why, Razer doesn’t say, but my assumption is that the 13th LED is the one which, on the non-translucent versions, illuminates the Razer logo on the back of the mouse. With the lighting turned on, the shell spreads the light of the underglow and the scroll wheel through the body of the mouse. This makes whatever lighting effect is running impossible to ignore, which, as I’ll explain further down , is a bit of a problem in my case. Translucent and white plastics tend to yellow with UV exposure over the years, and since the Phantom editions have only been around for about a year, I haven’t found any reports on how they age. I guess this is something that I’ll be able to report on in a few years, if yellowing should actually occur. It also remains to be seen whether the rubber on the side grips will wear after a few years as has been the case with my black V3 Pro, but I strongly assume that it will, at which point it’ll be interesting to see how that will look on the translucent material. Aesthetics are subjective, and I can understand anyone who prefers the stealthy look of the black version and finds the Phantom White to be a bit too much. I, for one, like it a lot. It reminds me of the translucent gadgets of the 2000s, and it turns the mouse, which is usually one of the most boring objects on a desk, into something that is quite interesting to look at. * At launch the V3 Pro supported 4000 Hz with the Mouse Dock Pro or the HyperPolling Wireless Dongle. Razer raised that to 8000 Hz with a firmware update in November 2023. ** Razer lists 11 programmable buttons for both mice, but its product page for the 35K also speaks of 13 customizable controls. The 14 controls of the Basilisk V4 Pro further down are counted the same way. The weights are Razer’s, without the cable and the dongle. If you put the 35K on a scale it will probably measure around 113g, and with the wireless charging puck installed, my Phantom White weighs around 118g. The different battery figures for the original V3 Pro are not a typo. Razer rated it at 90 hours when it launched but lists 110 hours today. I couldn’t find an explanation for the extra 20 hours, as I doubt that Razer actually changed the battery and I’d assume that it’s a value that they might have achieved using purely software optimizations. I haven’t taken apart the 35K so far, and it seems like nobody else on the internet has either, but if we assume that the internals are identical to the V3 Pro’s, then it’s likely to have the same Nordic Semiconductor nRF52840 at its core, which is an ARM Cortex-M4 system on a chip with 1 MB of flash and 256 KB of RAM, and a radio for both Bluetooth and proprietary 2.4 GHz protocols like Razer’s HyperSpeed. The lighting then probably also has its own RGB driver, maybe even the exact same W3635, and the 600 mAh battery is probably also wrapped in foam and mounted on a plastic frame above the sensor, into which the scroll wheel assembly slots as well. I also assume that the battery is soldered to the board, and that replacing it requires a soldering iron. Not great for a mouse that costs as much, and whose battery is likely the first part to wear out. Going by the V3 Pro’s design, the buttons on the top shell would then also be on a separate PCB that connects to the main board with a 5-pin connector, while the LED strip for the underglow and the scroll wheel connect via ribbon cables. Three magnets in the base would then align the mouse on the Mouse Dock Pro. Presumably the 35K also uses Razer’s third-generation optical switches for its main buttons, which register a click when the plunger interrupts an infrared light beam instead of when two metal contacts touch. They don’t need a debounce delay and aren’t prone to the double-clicking that mechanical switches tend to develop over time. Razer rates those at 90 million clicks. The other buttons, however, probably use ordinary mechanical switches. Some online sources state that the switches of the side buttons and the sensitivity clutch are ChangFeng parts, others that the side switches are Huano, and that the two buttons on top, the wheel click and the tilt inputs use unbranded tactile switches. The teardowns of the original identify the Focus Pro 30K sensor as a PixArt PAW3950. The Focus Pro 35K Gen-2 was reportedly developed together with PixArt as well, but Razer hasn’t said which part it’s based on. The Focus Pro 35K Gen-2 raises the maximum resolution from 30,000 to 35,000 DPI, while the tracking speed of 750 IPS and the maximum acceleration of 70 G stay the same. The more useful change is that the sensitivity can now be set in steps of 1 DPI instead of 50, which is probably important to people who want to match the sensitivity they’re used to from another mouse, and for whom Razer hence added a DPI Sensitivity Matcher to Synapse. The other features carried over from the 30K, namely Smart Tracking, which adjusts the tracking to the surface and offers three lift-off distances , Asymmetric Cut-Off, which sets the lift-off and landing distances separately across 26 levels, and Motion Sync. The new sensor seems to be fast and accurate across soft, hard and glass pads, but in practice indistinguishable from the old one, at least to me, who is not a professional eSports player. I’ve read about measured lift-off distances of 0.6, 0.8 and 2.0 mm for the low, medium and high settings on a bare surface, while some users saw slight jitter at 8,000 DPI and more above that, which is irrelevant to anyone, including myself, who doesn’t use such settings. I use the mouse for desktop work, meaning websites and applications like VMs that are cumbersome to use with the keyboard alone, and for that the difference between the two sensors is entirely academic. The included HyperSpeed dongle polls at up to 1000 Hz, and so does the USB cable. For 8000 Hz, the mouse needs either the HyperPolling Wireless Dongle or the Mouse Dock Pro. The dock launched in 2022 with a 4000 Hz transceiver and is listed with 8000 Hz today, and the original V3 Pro got 8000 Hz with its firmware update in November 2023, so 8000 Hz isn’t new to the 35K either. Once the mouse is paired with the dock, its own dongle obviously isn’t needed anymore and can be stored away inside the mouse. Independent measurements put the click latency of the 35K at 1.8 ms at 4000 Hz and 1.6 ms at 8000 Hz. These are good numbers, however, the gains over 1000 Hz are marginal, but the cost in battery life isn’t. At 8000 Hz Razer rates the 35K at 28 hours, down from the 32 hours of the original, which is a fifth of what the mouse gets at 1000 Hz. The scroll wheel was one of the main reasons I went with the Basilisk back in 2024. Like the MX Master, it can switch between a notched, tactile mode and a free-spinning mode, but the two do it in different ways. Logitech’s MagSpeed wheel uses an electromagnet, while Razer’s HyperScroll Tilt Wheel uses a small DC motor that, via a plastic gear, either presses a lever against a toothed disk for the tactile mode or pulls it back for the free spin. The rotation is read by an optical encoder , an LED and two photodiodes looking at a segmented disk. The mechanism is so precise that seemingly even a single human hair stuck in between, blocking the encoder’s light, can lead to a jittering wheel. Anyhow, the mode can be switched with the button below the wheel or automatically with Smart-Reel, which goes into free spin when you scroll fast and back to the tactile mode when you slow down. Smart-Reel isn’t new, because the original V3 Pro had it as well, but what’s new on the 35K is that the speed at which Smart-Reel switches can be set across five levels, and that Synapse offers a scroll acceleration that speeds up scrolling the faster you spin the wheel. Unfortunately, the acceleration is implemented in Synapse and not in the mouse, and it hence doesn’t exist on systems that don’t run Synapse. Every switch between the two modes comes with an audible click from the motor. Razer barely touched the shell, and the 35K is the same 130 mm long, 75 mm wide and 42.5 mm tall right-handed mouse with a thumb rest that the original was. Hence, the ergonomics are the same good ones that the original Basilisk had. In a palm grip the thumb rests on the ledge, with the sensitivity clutch right underneath it and the two side buttons above it. At 112g the Basilisk is heavy compared to the lightweight mice that are popular for shooters. For my use, however, it isn’t heavy by any means. Compared to the MX Master 3 that I used before, the Basilisk is still more than 20g lighter, and its weight is distributed well enough for it not to feel heavy in the hand. The feet are made of PTFE and glide well on a mouse pad, but they’re small and can scrape across a hard desk. Razer rates the 35K at 140 hours on the 2.4 GHz connection at 1000 Hz and at 210 hours on Bluetooth, compared to the 110 and 150 hours that it lists for the original today. Razer doesn’t say where the difference comes from, and as long as nobody has opened up a 35K, it’s unclear whether it’s the battery, the sensor or the firmware. However, the lighting matters quite a lot for battery life and might almost halve the runtime when set to peak brightness. So far, the battery life for me has been phenomenal even with the unicorn puke turned on at 10% brightness. My previous Basilisk had become a little weak with regard to its runtime after two years of daily use, and while I’ve only had the 35K for a short time, it feels like it can go weeks on a single charge. The cover on the underside of the mouse closes off a compartment for storing the dongle, and it can be swapped for Razer’s Wireless Charging Puck. The puck twists in, connects to the mouse through contact pads, and turns it into a Qi device that charges on the Mouse Dock Pro and, if the coils line up, on other Qi chargers. The Mouse Dock Pro includes a puck, otherwise it’s $29.99 or ¥3,288. Charging on the dock is slower than via the cable, with about 0.1 A on the dock compared to 0.33 A via USB-C on the original V3 Pro, which however doesn’t matter with the mouse on the dock overnight. Sadly, there doesn’t seem to be a wireless charging puck that is also transparent. Razer sells the Wireless Charging Puck in a single color, which is black, and it’s the same puck that comes with the Mouse Dock Pro. Hence, in order to use the mouse with my Mouse Dock Pro, I have to use the original black puck. It’s a bit sad, but then again, it’s not visible as long as you don’t lift the mouse to look underneath it. The dock itself has a built-in 8000 Hz transceiver and RGB lighting that shows the battery level of the mouse while it’s charging, from green through yellow to red. On October 8, 2026, Razer announced a successor, the Mouse Dock V2 Pro, which lists the 35K as compatible and is supposed to arrive in Japan in November for ¥11,980. Like with the original V3 Pro, Razer doesn’t offer any software for Linux. Synapse, Razer’s official malware software, runs on Windows and, as a preview, on macOS. Pairing the mouse with the dock, updating its firmware and the firmware of its receiver, and changing settings like the lighting timeout all require Synapse. Hence, I set up a Windows 11 VM on KVM, passed the dock through to it, unpaired my old Basilisk V3 Pro, paired the 35K, updated its firmware and adjusted its settings. Razer has started offering a browser-based version of Synapse, Synapse Web, which could in theory work on Linux. As of now, however, its list of supported devices contains a single mouse, the Viper V4 Pro. The on-board profiles, which include settings like the polling rate, work without Synapse. Sadly, just like with my previous Basilisk, the lighting still doesn’t seem to be stored on-board, at least not in a way that persists without Synapse running in the background. Synapse doesn’t run on Linux, and for using the mouse through the dock there doesn’t seem to be a working FOSS implementation yet that can properly set its lighting, which is why my Phantom White currently displays its typical spectrum cycling effect, also known as unicorn puke . OpenRazer has supported the Basilisk V3 Pro 35K since version 3.10, and the Mouse Dock Pro since version 3.12. Unfortunately, the latter covers only the dock itself, namely its own lighting, while a mouse that’s paired with the dock doesn’t show up as a device. The dock relays the mouse’s input to the computer, so the mouse works, but its DPI stages, its polling rate and its lighting can’t be changed from Linux as long as it’s connected through the dock. A report about OpenRGB not detecting the Basilisk V3 Pro through the dock has been open since 2024. Pull request #2817 , which was opened in May 2026, adds pairing, unpairing and a scan for nearby mice to OpenRazer’s driver for the dock. It also exposes a mouse that’s paired with the dock as a device of its own, with the same settings and effects that OpenRazer supports through the mouse’s own dongle. Testers report that the Basilisk V3 Pro 35K works through the dock with it, including static colors, and a follow-up pull request adds the 8000 Hz polling rate. As of now, however, the pull request is still waiting for a review by the project’s maintainers, and I’m waiting for it to be merged, so that I can finally configure the mouse through the Mouse Dock Pro via OpenRazer. If you own a Basilisk V3 Pro, there’s little reason to replace it with a 35K. The sensor is newer, but in practice indistinguishable from the old one, at least unless you’re an eSports professional, and the remaining changes are a longer rated battery life and a few settings in Synapse. I’d recommend the original, which these days often sells at a discount. Unless, that is, you care about the way it looks, which, admittedly, is why I bought it. As a mouse, the 35K Phantom White is as good as the V3 Pro was. The ergonomics are the same good ones that the original Basilisk had, the scroll wheel is as versatile as ever, and the battery life has, so far, been phenomenal. The translucent shell is a welcome change from the muted look of most hardware today, and the premium of ¥2,000 or $10 over the regular versions is not terrible. The downsides are the ones that the original had as well, namely (for some people) the weight, the price, a battery that’s probably soldered in, and software that doesn’t run on Linux, plus a charging puck that doesn’t match the rest of the mouse. Note: Shortly after I bought the 35K, at the beginning of October, Razer announced the Basilisk V4 Pro, which is supposed to arrive in Japan in November for ¥27,980. It’s 12g lighter and has 14 instead of 13 customizable controls, a new scroll wheel with an additional, finer tactile mode and a Focus Pro 50K sensor. It also supports 8000 Hz in both wireless and wired mode and is rated at 200 hours of battery life, but it has only 7 lighting zones, and Razer hasn’t announced a Phantom edition of it so far. If you don’t care about the translucent shell, the V4 Pro is probably the better buy. I do, and I’m happy with the Phantom White.

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What Is A Man? (Laptop Stickers Part Deux)

A miserable little pile of secrets. But enough talk! Have at those stickers! is what Dracula would say when encountering my now completely screwed up laptop. In fact, his image—including the iconic quip—is placed prominently in the middle. What started with just four stickers, mostly Emacs (Lisp) related quickly spiralled out of control after the arrival of my Redbubble order. I’m sorry, I tried neatly arranging them, I really did. But the end result is, as my wife called it, chaotic 1 . But in D&D, chaotic alignments can be good as well, right? Minsc is chaotic good? Sarevok can turn into being chaotic good if you treat him well in Throne of Bhaal ? So here’s my chaotic good laptop: The 2020 MacBook Air covered in gloriously weird stickers. Now it’s just a matter of time before a conversation is sparked. It will depend on the sticker they choose to discuss whether they’ll become besties. While Ton chooses not to apply stickers to avoid a conversation about their meaning, I am actively trying to provoke it. Dear students, if you’re reading this: surprise me! Why don’t you try to guess which is which? I’ll hand out a few hints for each sticker and reveal their true nature in a spoiler tag below. From the top left to the bottom right: Perhaps I went a bit overboard with the (retro) gaming-related stickers. I had more but ran out of space. I realised too late that I was missing a music-related one. The biggest challenge was fixing a few overlapping edges that looked bad, where I had to rip off and redo a part of some stickers. The extra fine nib tip is already getting loose… I think she called it messy but since I’m not a big fan of football I decided to use the word chaotic instead. Get it? Messi? No?  ↩︎ Related topics: / stickers / By Wouter Groeneveld on 16 October 2026.  Reply via email . Big black cloudy square: FSF. Pixelated weirdo in long darkblue coat: an old pirate. Mini round foil sticker: a certain Paw that needs to be Patrolled. Big green skull: think old French adventure game. What is a man: I think I already spoiled that one; but which game? Next level round one: fantasy console Pixelated kid dressed in green clothers holding up a sword: does this really need a hint? Warning: this product may contain trace amounts of Lisp: an alien! Feeling Extra Fine: a fine writing implement A shocked skeleton: what’s the opposite of Mario? A towering purple tentacle: travel in time to find out Green pixelated asparagus: just food A round white : the logo of an editor I’m using right now Mini round foil sticker: has a little brother called George A sink overflowing: GNU Emacs is literally on it We Rise At Dawn frog: what’s inside the jar? Small pixelated bug: involving grid-based tactical manoeuvring An old wizard with long beard sitting on a chair: related to the green skull Small pixelated bug: see 17 Menacing looking black bearded fellow with hat: looking for that pirate Big black cloudy square: The Free Software Foundation. Pixelated weirdo in long darkblue coat: Guybrush Threepwood in Monkey Island 2 . Mini round foil sticker: A Paw Patrol sticker representing my youngest kid. Big green skull: The main antagonist, Amoniak, in Gobliins 2: The Prince Buffoon . What is a man: Castlevania: Symphony of the Night Next level round one: UFO 50 Pixelated kid dressed in green clothers holding up a sword: The Legend of Zelda: a Link to the Past Warning: this product may contain trace amounts of Lisp: The Lisp Alien Feeling Extra Fine: just a silly Extra Fine nib representing my love for fountain pens. A shocked skeleton: Wario in a shocked state after touching electricity in Wario Land 3 A towering purple tentacle: Day of the Tentacle Green pixelated asparagus: really, just food! I love green asparagus! A round white : Emacs Mini round foil sticker: Peppa Pig representing my eldest kid. A sink overflowing: GNU Emacs We Rise At Dawn frog: the frog is holding a baked loaf of sourdough bread and in another hand a jar of sourdough starter. Small pixelated bug: Into the Breach An old wizard with long beard sitting on a chair: the wizard Tazaar that guides you in Gobliins 2 . Small pixelated bug: Into the Breach Menacing looking black bearded fellow with hat: LeChuck in Monkey Island 2 I think she called it messy but since I’m not a big fan of football I decided to use the word chaotic instead. Get it? Messi? No?  ↩︎

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iDiallo Today

This video is 2 minutes long

As I mentioned before, it takes me way too long to edit a single video . So I am releasing it in chunks. If I never finish it, well then at least I'll have a few videos out. What is the video about? Well, it is about the future we were promised, versus the one we are actually living in. It's not dystopian, but it seems like the goal of tech is supposedly to automate the tedious and mundane, so we can have more time to do the things we love. But along the way came the word productivity. The goal of productivity is not to get free time. It is to produce more in the same amount of time. Not produce more in less time. Read this a couple times for it to stick. Click the image to load The first one was 1 minute long . Today's will be two minutes . And the next will be 3 minutes long. Then I'll have to think about Fibonacci.

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Restoring my Fiat 126 BIS

This is an ongoing project that will get continuously updated whenever I have made some progress. Check in once in a while for updates! You probably have a lot of questions. Let’s begin. It all started back in 2021. A guy from Australia that did videos about restoring and upgrading old iPods set up a car channel, and that was when I got introduced to the glorious Fiat 126. These videos really do feel like a few ol’ mates fixing a car together, and that got me hooked. You can get a more historically accurate version from Wikipedia or anyone in Poland that’s old enough to remember these, but long story short: these were produced in large numbers in Poland under a license from Fiat proper, and due to the affordability, got super popular in Poland. It’s the car that put Poland on wheels. The Fiat 126 is an absolute nugget. It’s loud, slow, and makes funny smells sometimes. It looks dorky. It weights about 600-620kg, depending on how rusted it is. Its electrical circuit diagram fits on a single A4 sheet of paper. It’s me, but in car form! And that’s why I love it. With the help of my brother, I was on the lookout for one in Estonia. Most variants that were on sale were usually a different color or outside of my pay range, about 2000-4000 EUR usually. There were no guarantees that they were in good condition either. Then there was one for sale for 800 EUR. Not started for 10 years, as it got stranded due to a mechanical failure. It has a gearbox leak. Lots of things that are probably not working due to the fact that it stood for 10 years. A proper project car. That was back in Spring of 2026. I didn’t jump on it yet, as I was quite tired already and didn’t feel like I had the time and energy for a project car. On 1st of August 2026, an event named “Retrokulgurite päevad” took place. A lot of people with old cars joined the event, and we went to check it out. It was nice, there were lots of unique cars there that you don’t see every day, and a whole trolley-bus that was fitted with a diesel-electric engine to generate power for it, with it being fully street legal. But it had no Fiat 126 models on display. Bunch of Audis and soviet era cars, sure, but no legendary nuggets. That was the tipping point. Soon after that, we checked out the 800 EUR option, and deemed it worthy of restoring. This model is different from most Fiat 126 models, as this one has modern features that the old ones don’t, such as ✨ water-cooling ✨ . The engine is still in the butt of the car, but lower, and more compact. This also means that you have a small amount of trunk space, and if you fold the unusably small rear seats down, you actually have a decent amount of space for luggage, making it ideal for a summer car trip with two people. Except during any kinds of warm weather, this thing does not have anything resembling air conditioning. The transport was quite convenient, as the guy helping with the sale offered to transport it near my home for a good price, as he had some family around here. My goal: take part in this event in 2027, including the parade, with a fully street-legal Fiat 126 BIS. I’m not a car guy. Whenever a mechanic explains what needs to be done or what the issue was, I nod, while not understanding a thing they say. I may use the wrong terminology, the wrong tools, and make mistakes. But that’s fine, this is a learning experience for me. I have some help along the way from family members who know cars. I’ll do my best with the legitimately dangerous things. We had a lot of work to do, but on a high level the plan is: The first job I took on were the brakes. The front wheels were absolutely seized, and that made it impossible to push around. The goal: take them all apart, observe the carnage, work on the easy known issues and figure out the next steps. After the first session, I also realized I am lacking tools and liquids, so I got myself a starter kit for doing car things, with all sorts of bits and two ratcheting thingies. I love ratchets. This was also the time to check around the car for surprises and to do the easy bits. This thing desperately needed new wipers. These ones have this bayonet-style end on it, flat surface, with a small circular bump actually holding things together. 330-350mm should be good enough for this car. The right door window was a known issue, it would not go up and down, and a replacement window regulator part was already ordered for the car and came with it. But that was not the only issue with it. Turns out that the frame that holds the window had broken due to corrosion. While fixing the window regulator, we found what these odd cables were that went to the door. Turns out someone had attempted the installation of central locks for this Fiat. Just one problem. Anyway, after that fun discovery I got help from a family member with a welder, and fixed the point where the window holder connects to the regulator cable. Worked like a charm. A solid amount of rust-proofing agent was applied to avoid a repeat of this issue. It will happen again at some point due to the seals around the window not really existing any longer after having disintegrated, but hopefully not in a few years. Around this time I was looking into assembling a big list of parts that I now need to order, and finding sites that specialize in these cars and comparing the results against more mainstream car parts stores. One thing that became very obvious is that you really need to check what you have first before ordering any parts. Your version may have modifications, different replacement parts, and sometimes you just don’t know what you need before you take a look at things. The latter makes parts shopping especially painful if you don’t want to keep making small orders and pay for shipping, but it’s a fact of life, I feel, when working on cars. Based on my research and my location in Estonia, here’s what I’ve more-or-less settled on. This does not serve as an endorsement, it’s just taken verbatim from my personal notes. Specialist shops: higher prices, but much easier to navigate and less chances of getting the wrong parts: For more common and generic parts, such as brakes, fuel hoses, batteries and tyres, just go with whatever you have locally. In Estonia, I’ve found these places to be cromulent for this: Somewhat surprisingly, Google AI mode and Claude were quite useless for making a proper list, and you had to rely on your own measurements, knowledge of the car, Polish Fiat 126 manuals, and specialty shop listings to get the right parts. Enough about that, the work must go on. After dealing with the carnage, the car finally rolled around with ease when pushing it manually. Again, only ~620kg, so I could do it alone. With brakes removed, it was clear that the parts list had to grow to include the hydraulic cylinders. The existing ones were stuck and full of gunk that was definitely not supposed to be there, plus the rubber bits were cracking and leaking brake fluid. I still had some time, so I started tackling some other items based on whatever I felt like doing. I finally also made progress on the window regulator, but annoyingly the new part seems to have an issue, the mechanism works, but it’s crunchy-feeling and makes odd clicks. But it works. We now had the opportunity to move the car under a shed, which is optimal in September weather and doing work on the car. My brother joined in for a day to evaluate the situation and to try to do something useful with the car. Equipped with some 15W40 engine oil, green G11 coolant, wire, an empty plastic canister, fuel hoses and a lot of hope, we got to work trying to get the car doing car noises. While that was going on, I installed new side mirrors. Bling-bling! Now we’re up to two, which is the correct number. Then we started it. Engine go brrrr! It was now time to approach the slightly annoying/scary work. It’s time to install new brake hydraulic bits, but first you need to get the old ones off. That proved to be tricky. It’s also the time I learned about flare-nut wrenches, never realized that these were a thing. So far, I have only managed to get one off, with the rusted brake line also snapping, so yeah, new brake lines have entered the to-do list. Since it was clear that brakes are a total pain, I did additional investigative work on the rear lights to check what’s the situation there. The rear brake lights work and stay on constantly, which is luckily just a sensor fix near the brake pedal, but the fog and reverse lights were iffier. With the reverse light, the reflector bit just fell to bits, so that will need to be renewed. Behind that, I found lots of corroded bits and wires whose metal connectors have snapped. That’s a problem. The plastic covers on the rear lights were screwed in using the plain old screws that had corroded, and when taking them off I learned why additional washers were used, as the screw holes in the plastic had worn and there wasn’t any plastic to attach to. Buying these parts new is also possible, but I may try to fix these properly. After getting very frustrated on that one nut that I simply could not get off, I got frustrated and decided to quickly paint the rusty drum brake covers on the outside with some anti-rust paint that I had bought for testing. There is no good reason to do this, I just did it for fun. At this point, life happened, and my other cars demanded attention as well, with things like broken rear window wiper arm and a slow leak in the front left tyre. With winter on the horizon, I suspect I won’t make too much progress, but that’s a good opportunity to start researching and ordering all the parts that I need now. get it moving so that we can push it in a shed fix the known issues look around for unknown issues get the engine running do all the tricky parts to get it street legal Axel Gerstl Fiat 500, 126, 600 spare parts, tuning and accessories Arnold Classic Shop Aero Motors Baltic Bolt (not to be confused with the other Bolt )

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Unsung Today

“Traditional, but puzzling”

In the 1990s, users of some Unix-based operating systems would sometimes see a peculiar error. It happened occasionally when sending an email to a person you might have already sent email to before, and in addition to the error being confusing, the message itself was particularly bewildering. Let’s say you wanted to send an email to “MWichary.” Instead of a confirmation, you would see this: As many strange errors tend to be, this one was at an intersection of four different things. The cause of the error was something many of you will recognize – code being anal about lower- and uppercase. Behind the scenes, a piece of software called sendmail always assumed lowercase user names, which was true early on. “MWichary” was quietly changed to “mwichary” – a user that didn’t exist – and the program reported the literal outcome, instead of its chain of reasoning. The second part was a sort of a meta-error in the error handling routine. Sendmail correctly reported back “User unknown,” but then reflexively added whatever the system error value reported, for extra debugging color. These are usually helpful, reporting things like “Host is down” or “No space left of device” – I bet you’ve seen some of the very distinctive strings if you ever did anything adventurous in the terminal. In this particular context, however, the system error was pretty useless. “Not a typewriter” meant basically “this is a program being run in the background; it’s not meant to accept any user input or write anything for the user to read.” It’s not an error as much as a condition , and is true for a lot of programs quietly doing the operating system’s bidding. But… why was the message phrased this way? That’s just history. Computers were originally connected to typewriters as input/​output. Some of these typewriters were local, attached to the front panel, or console . Others were remote typewriters, or tele typewriters, often shortened to teletype or even tty. If you recognize these terms, that’s because they are still with us today! = 2x) and (width >= 700px)" srcset="https://unsung.aresluna.org/_media/traditional-but-puzzling/1.2096w.avif" type="image/avif"> = 3x) or (width >= 700px)" srcset="https://unsung.aresluna.org/_media/traditional-but-puzzling/1.1600w.avif" type="image/avif"> = 2x) and (width >= 700px)" srcset="https://unsung.aresluna.org/_media/traditional-but-puzzling/2.2096w.avif" type="image/avif"> = 3x) or (width >= 700px)" srcset="https://unsung.aresluna.org/_media/traditional-but-puzzling/2.1600w.avif" type="image/avif"> = 2x) and (width >= 700px)" srcset="https://unsung.aresluna.org/_media/traditional-but-puzzling/3.2096w.avif" type="image/avif"> = 3x) or (width >= 700px)" srcset="https://unsung.aresluna.org/_media/traditional-but-puzzling/3.1600w.avif" type="image/avif"> You can see how “This doesn’t have input/​output I can do something with” can become a terse “Not a typewriter” in an era when every character feels costly , and a typewriter is your only option for input and output. Then, the string was simply kept a few decades too long, even after typewriters were replaced by teletypes, terminals with screens, and eventually Terminal and Console apps. The fourth piece was fun with grammar: the simple choice of joining the two messages by a colon made it feel like the user was supposed to be a typewriter. The message was eventually renamed. If you encounter it today, it will say “Inappropriate ioctl for device,” which I guess is an improvement. But its code remains . It’s entirely possible it will still be named that decades from now, even after we all forget what typewriters were. (The title of the post comes from the explanation in the manual for the Solaris operating system .)

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Calendear

If I were to (as the story goes) get a job at Google, fix one bug, and quit, this is the bug I would fix: the same event should only be shown on your Calendar once, even if you can see the event on multiple calendars. Calendear also lets you paste an image to add a calendar entry. The models that Apple Intelligence ships are good enough to OCR the image and parse some dates out, so this can be done locally. I went through the motions, and it's out in the App Store . Not in Europe. The price can't be beat.

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Jim Nielsen Yesterday

We Need All the Disciplines

From where I sit, figuring out what to build, building it, and shipping it are all part of the art of making software. Many disciplines have emerged through the years to facilitate this work: product, design, engineering, devops, etc. We need all these disciplines to make great, dependable software (granted, in different doses). Each brings different values and judgments; each sees things the others don’t. And including all might mean going a bit slower. Human collaboration may seem less “efficient” than handing the work over entirely to the machines. But inefficiency may be the cost of collaborating with humans, rather than extracting an output from a machine. We gain not only from their judgment and expertise in a particular discipline, but from the relationship, trust, and shared understanding that blossoms from making something together. As the old proverb says: “If you want to go fast, go alone. If you want to go far, go together.” Reformulated for today: If you want to go fast, go with the LLM. If you want to go far, go with your fellow humans. Reply via: Email · Mastodon · Bluesky

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OSI approved the curl license

curl started out GPL licensed, as direct inheritance from its httpget days, but in October 1998 we switched to the Mozilla Public License (MPL). In 2001, we added the MIT license as an additional license to optionally use in addition to MPL. We made curl dual licensed because clearly the MPL license caused problems for some users – primarily because it was deemed not compatible with GPL. In 2002 we dropped the MPL option and curl was from then on licensed only under the MIT license. Kind of. Because of reasons we cannot recall anymore, I decided to ever so slightly edit the language in the MIT license text around that time. (I strongly discourage anyone else from doing this, and if my time machine was functional I would go back and correct this decision.) The license text we then kept referring to and thinking about as an MIT license, was in fact not exactly MIT anymore. No one objected at the time. I can’t remember anyone really considering the implications at the time. Maybe because not that many people noticed or cared. It was in essence still the MIT license. Decades later, the SPDX project quite correctly and ruthlessly made the distinction between a proper MIT and a modified MIT matter: they created a separate and unique identified to the license curl uses. It may be almost like MIT but they deemed the differences big enough to say that the curl license is a special beast. It is since then known as the curl license. I have over the years casually kept referring to the license as MIT since it helps users understand even though it is technically incorrect. Open Source people in general tend to know the MIT license and the implications of using it. A drawback with having our own license is that it was not immediately recognized and known as Open Source or Free Software; not acknowledged and verified by FSF nor OSI. On April 17, 2026. The Open Source Initiative approved the curl license . It is since then officially arguably slightly more Open Source than before. I don’t think anyone ever doubted or that it was actually much of a drawback in adoption or usage, but it feels good to finally have this checkmark. I write about this now (many months after the fact) because I totally forgot that this was happening and I only recently realized OSI approved it back in April.

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Martin Fowler Yesterday

When Software Meets Hardware

When software meets hardware, engineering principles remain largely the same, but the sensible defaults often change. Kuldeep Singh describes our experience modernizing a large IoT fleet of battery-powered sensors. Our familiar principles remained important; what changed was how we applied them. These practices emerged through experiments, failures, and operational experience—each challenge helping us replace a reasonable assumption with a more sensible default.

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Stratechery Yesterday

A Conversation With Ari Emanuel About Entertainment and AI

Listen to this post: Good morning, This week’s Stratechery Interview ended up not being an Interview, but rather a conversation with Hollywood super-agent Ari Emanuel . Emanuel is the Executive Chairman of WME Group , Executive Chair and CEO of TKO Group Holdings (the owner of UFC and WWE), and Founder of MARI , a live events and experiences company. The occasion for this conversation née interview was the recent publication of Emanuel’s memoir, Roll the Calls , a reference to Emanuel’s relentless daily phone call routine; I got on Emanuel’s roll for the first time a couple of years ago, and quickly learned that when Emanuel wants something he gets it. That’s a theme of his book, and of this interview: Emanuel decided he wanted to have a conversation and ask me some questions too, so that’s exactly what we did. We cover everything from the state of social networks, AI’s impact on Hollywood and the tech industry, and what skills might not just persist but become more valuable. We also discuss why Emanuel is making such a big bet on live, whether or not Hollywood is logical, and whether talking on the phone is the antidote to polarization. As a reminder, all Stratechery content, including interviews, is available as a podcast; click the link at the top of this email to add Stratechery to your podcast player. On to the conversation: This interview is lightly edited for clarity and content. Ari Emanuel: Can I ask you one question? Because I saw your interview . Who was it — you did it with a guy in New York. Patrick O’Shaughnessy ? AE: Patrick, yeah, who I love. Yeah, I read your interview with him , it was great. AE: I loved your point of view, and explain a little bit more to me because I love your thinking — that on a SaaS model, the only one, based on my understanding, based on your model right now, that’s got it right, OpenAI should have gone to advertising as opposed to charging, Muse has it right. Yeah, for sure. AE: They don’t need to charge you because they have the other revenue stream. Right. And well, not just that, but the LLM, like, it’s actually really interesting. So when they launched Muse, they made this promise, “We won’t use your data that you use with Muse for advertising”, and no one cares . No one knows they made that promise, and no one cares, because no one cares about that stuff. And so they, in some respects, handicapped themselves by making this promise. AE: Just like Apple, we’re not going to look at your data, major mistake when Tim [Cook] said that. Right. But in the long run, I think it’s going to pay off, because you’re going to have this complete change in how advertising works. Right now you sort of have data on the user and you have data, broadly speaking, of what a particular product matches with and you’re matching, it’s called the two-towers approach . So you’re matching these two things together, and that’s how advertising basically works at scale, and it’s all these vector databases, all these sorts of things. AE: Television never did it properly. That’s right. So the way advertising is going to work in the future, and it’s already happening, is it’s going to predict what you want. AE: Well, the funny thing, what I thought when you said that— (laughing) I can never remember if I’ve said it before. AE: One is, Mark is going to be able to make a ton personally and charge, he’s going to be able to use the AI to do it, and it’s going to be just more and more and more. It’s more than that. So what you’re going to do is you’re going to get a personalized ad predictor that basically is inside your VM. They’re going to be credibly able to say it’s totally private, because it is totally private. AE: Because it’s just directed at you. That’s right, it’s just predicting what you want to see. Just like it’s going to be a predictor of content you want to see. AE: Oh, I didn’t think about it that way, yeah. The reason why there’s such massive upside is this whole agent thing — this is the real Google threat. So everyone thought when ChatGPT came out, that was a threat to Google, but the human was still in the loop . As long as the human is still in the loop, Google is okay. But all of Google Search, Amazon search— AE: Once the human is out of the way… Then all these search-skim ad models, which is what all these models are, they’re all bullshit models, because it’s just attacks on search. AE: Well, are you saying the same thing about Amazon? Yeah, 100%. AE: I think Amazon, because of Muse — I mean, Walmart made the deal with them. Which is a huge deal . AE: Amazon’s going to have to figure out — I mean, a lot of stuff is going to go through. Well, and the problem is that the problem with having a physical moat is that means you have a lot of capital tied up in that, which means you do have a forcing function that means you have to adjust. AE: It’s what happens when you’re just saying that when you have a digital, not a personal, on the Amazon side, your $60 billion is in jeopardy on your advertising business. I mean, it’s a problem. It’s a big problem, a huge problem for them. So the upside is the new products still need advertising, and things like live events, all the sorts of personalized stuff that the Internet makes possible. Like, one of the most important functions is going to be the generation of human desire, that is the post-AI economy. AE: MARI ! That’s exactly how I think about it. It’s like, you know, not only what Elon [Musk] said to me — it can’t be disintermediated. Don’t waste it. We’re going to get to it. I get to talk now, you don’t get to talk, because I have to record this for the interview. AE: I can’t believe we’re not recording now! I am recording, but I didn’t say we hadn’t started yet, so maybe we can include this. We should make this more of a conversation. AE: We can just go. This is the interview. Okay, this is the interview, we started. AE: Exactly how my life goes. Okay, I’ll throw away my script here. AE: The reason I love talking to you is this, I can’t articulate it as well as you can. You have this massive need for the generation of human desire, and you’re going to have people like you who are creating the vessels in which to sort of collect that human desire. But that means that advertising has just been between 1% and 2% of GDP, so let’s say that holds. AE: Oh, it’s going up more. It has gone up with digital, yeah, it’s up to between 2% and 3% now, but historically, it’s been between 1% and 2%. AE: I think it’s going to above that. I think it will too. So this is the conservative estimate. Amazon advertising is impaired, and Google advertising is impaired, because there’s no more human in the loop, that advertising is going to flow to surfaces that are not impacted by AI. AE: Facebook. AE: I couldn’t think, after that conversation you had with Patrick, if there’s another group out there, and maybe it’s X? Because I think Elon’s going to do that, right? But I didn’t think of another one, another kind of digital player that could do that, except maybe Microsoft inside LinkedIn. Which, by the way, is doing very well. AE: Very well. Because actually that is a digital personal because people are involved. I think social networks are only going to get more valuable over time, not less. AE: I agree. If anything, we’re almost at the nadir of social network value. AE: So name the social networks in the United States. Facebook. Instagram. X. And I said LinkedIn. Did I miss one? No, I don’t think so. So that’s the brilliant thing about Muse, it’s not only this phenomenal opportunity, it’s also a direct heat missile at Meta’s competitors, to the extent it lands, and that money’s going to flow back into Meta. AE: And I think it actually — depending on what [Amazon CEO] Andy [Jassy] does, who’s very smart, he’s got to make a deal. Over time, he’s got to figure out that $60 billion, which is one of the biggest problems. Here’s one thing that’s interesting, and I’m curious what you’re thinking about it. So in the long run, of course, AI is very highly deflationary but I think there’s an aspect that it is short-to-medium-term inflationary , in that ads are a subsidy to the people who are not impacted by the ads. Stuff is cheaper, Amazon is a good example — the prices Amazon charges are definitionally less than they would be absent advertising. And we know this because their advertising revenue is more than their e-commerce revenue — or their profit, I should say. AE: And the advertising does subsidize all that. That’s right. So if the advertising goes away and they have to charge more, that is actually inflationary to a certain extent, because prices have to go up. And I think you’re going to see this — like, for example, what’s a very easy Muse use case? Find these subscriptions that are lingering, what subscriptions do I have that I should cancel? There’s a lot of advertising businesses that are supported by people forgetting to cancel their subscription. AE: This is the same argument I’ve been making with people. The cable business — ESPN was elevated not because so many people were watching it, there was that select group of people that had to have it, and then they could get up to $10 for it. And everyone paid it. AE: And once that broke with Netflix, etc., it just went away. The cable operators and cable were broken, it just fell to the ground. Yep, and you have to pay directly for sports, so sports fans were the biggest welfare recipients in history throughout the entire cable era. AE: And now they’re going to pay for it, but advertisers are going to pay premiums for it, because it’s a very high-end group of people that they want, on whatever platform they have. All the video advertising, streaming advertising — particularly to your point, if they actually finally do it right. And which, by the way, Amazon is probably the furthest ahead there, generally speaking. AE: I think [Skydance CEO] David Ellison will catch up. He hired the right CTO out of Facebook , and he’s going to build a pretty good model. The one place — would you define YouTube as a social network? It’s in between, right? What is a social network? So is Instagram even a social network anymore? It is, to an extent. But the big shift, and the reason why TikTok sort of blindsided Meta , is TikTok is classified as a social network, but it’s not a social network at all, it’s a user-generated content network. AE: Well, so is Reels. That’s right, and Reels is a direct response to realizing, “Holy cow, we missed it”. AE: And the issue is that, unlike Threads, Reels works. There’s this famous Paul Krugman article that’s saying the Internet is not going to have any more economic impact than a fax machine . AE: He said that? Yeah. Maybe it was a long time ago, I wrote about 2014, he must have said it in the late ’90s, early 2000s or something. And the reason is because most people don’t have anything interesting to say and the funny thing is he was actually half right and you saw this with what happened to Facebook. As long as your content was limited to people you knew, it was fun. AE: Everybody cared! They came to not care, because what happened was TikTok realized, if you’re limiting what people see to only the people you know, they’re not seeing the best stuff. What the TikTok algorithm does is it basically finds the best content across the entire service, and feeds it to you, such that it’s the best content in the world — even though the percentage of good content to bad content is hilariously small. The vast majority of content sucks, but the absolute value of good content is very large, because the total amount of content is so great, even if you get a very small number on a massive denominator. And so they’re like, “We’ll just show you the best content”. AE: And that’s what their algorithm did, they could figure that out. That’s right, and that was Meta’s blind spot, because they killed Snapchat by leveraging their network. You already had friends — you could see a story on Instagram, and it was instantly useful to you, because you were already following people on Instagram. AE: But why — I want to ask you a question, and this brings up Snapchat. Why hasn’t he [Snap CEO Evan Spiegel], as opposed to doing glasses, figured out he is one of the last social networks? And it’s still good. He’s got a billion users. (laughing) There’s a lot of good questions that can be asked about Evan Spiegel ‘s corporate governance, most of which are not very flattering . AE: I mean, he is one of the last social networks, we’re talking about social networks — he’s one of the last ones, and he actually still has a great user base. He does, and it’s still young. AE: Very young, and they use it to talk to people. The engagement is off the charts. If you use it, you use it all the time. AE: And if he did it right with AI, as opposed to the glasses I mean, this is the eternal Snapchat question. That’s why they are still such a lure to investors, despite the fact they pay out gazillions in stock-based compensation , they never seem to really make money, blindsided by Apple a few years ago , and all these sorts of things, is because it’s so clearly a tremendously valuable asset. AE: And completely utilized by a generation. Yeah, absolutely. So, yes, Snapchat is always a question. AE: So now let’s get to the advertising piece on live. Because my opinion is the following, let’s just say you were right, 1% or 2%. By the way, this is a perfect framing for this interview, where you just sort of took it over. I think we’re actually conveying, at a meta level, the experience — the Ari Emanuel experience. So anyway, continue. AE: (laughing) Well, it’s kind of the experience, I’ve been reading your newsletter, and I just call you out of the blue, and we start talking. Well, your book is Roll the Calls. AE: You got one of them! I rolled you! You did. It kind of made me scared for this interview when I was actually reading the book, I’m like, “do you actually stop for an hour and not talk on the phone?”. AE: Yeah, because it’s an interesting conversation, I’m going to learn something. I did remember the first time you called me. AE: You were in Asia, weren’t you? No, I was in Seattle the first time you called me, but I was still living in Asia. And the second time I was in Asia, I missed your call in the middle of the night. But what was striking is your assistant emailed me, I found the email asking for my phone number which says, “Ari wants to call you”. I replied, and I think my phone rang within 30 seconds, which was stunning to me. AE: (laughing) Were you sleeping, and you had woken up and got there? No, it was Microsoft Build, it was in May, so I was there. I think I was going to interview [Microsoft CEO] Satya [Nadella] . I was in the lounge at the Hyatt downtown getting breakfast. AE: Oh, wow. I don’t remember what the conversation was about. It was some Article I wrote, I don’t remember what it was. AE: I didn’t understand it completely, and I wanted some answers. Do you still talk on the phone as much as you did back in the ’80s? AE: Oh my god, yeah. I don’t like this whole thing. Ron Meyer once said to me, we were talking about this — and he still reads papers, and I read papers online — and he said, “You know, if texting existed before telephones did, and then all of a sudden telephones came out, people would be calling people as opposed to texting”, because the reverse happened, texting’s cool, and people just do that. So yeah, I’d rather have a conversation. The bandwidth is just higher. AE: Especially for me — one, being dyslexic. Two, the misinterpretation, potentially. Larry David can write funny texting, I can’t do that. Well, I think what’s interesting is, I mean, a lot of the book is — and you talk about this — just sort of your not giving up, I think, is a generous way to put it. Asking a million times, you mentioned the dyslexic angle, not being embarrassed, people can keep saying no — it doesn’t bother you. But I think there’s an aspect of that relentlessness combined with, in a phone call, because it’s so much higher bandwidth, you get the shape of the problem or the shape of the person much more clearly and so that pressure you’re putting on is also much more finely targeted. AE: When I get on a phone call, like I just hung up with Marc Andreessen about something, and I didn’t understand something he was asking me, I was asking him a question. I just want the answer to that one thing. I’m not sitting here — it could be 14 calls, because I might have multiple calls, but in each situation I don’t have a long conversation. I just don’t understand something, I want an answer, I’m going to the people that I think have an answer. That answer, for whatever my life is going on, answers some question that I want answered, to kind of continue a conversation or understand something so I can think about what we’re doing, how we’re thinking about this. This is one of the reasons I wanted to do this — because one, I love your newsletter, I read it, as you know, consistently, but I was wondering, AI, live — your point of view on it. I have a point of view — one, that people are going to have more free time, they’re going to come to it. But also, I think there’s going to be the ability to put it on social and I think advertising in arena is going to go pretty high, because you’re concentrated and I think that’s true for both TKO and I think that time that people have now is going to be so much more precious, they’re going to have more money — we can talk about that — and it’s just like where the world’s going. So is it “Mari”? Is that how you say it? AE: Do you know how that name came about? AE: I have a Monday morning weekly call with all the executives at TKO — WWE, UFC, everybody — and we were going over, I don’t know, an advertising issue or a site fee issue and the executive goes, “Mari!”, I go, because Mark Shapiro was talking — I go, “What did you just say?”. Oh, it was Mark and Ari. AE: I lost my shit on him, it was hysterical, then I had shirts made with “Mari” — Mark and my face combined, it was really funny, so that’s how it came. You mentioned, as far as the thesis, people are going to have more free time, live events are going to become more valuable. AE: And what were you just saying about your point of view about people’s time and events? You were just talking about. I agree. And I think there’s a second layer, which is I can relate to — you just have a question, you want to get answered. You came up in like the age of the world talking on the phone so of course you’re going to call someone to get the answer. AE: Or somebody that I think has thought about it maybe differently than me, that I could — would make me change an opinion or add to my opinion. Right. Well, but in the ’80s, you’re an agent, you needed to know everything that was going on and that was the original purpose of rolling the calls. So I obviously am younger than you. AE: It’s not obvious that you’re younger. (laughing) I know, you do look great. These are your barbells and your famous walking treadmill . So Google came out when I was in college, it was unbelievable, it was so much better than everything else. But even before then, you go back to me being a kid, and like having the encyclopedia at home, or having the dictionary. Every time you encounter a new word, go look it up, every time you encounter a concept, look it up. This aspect of just always, if anything comes up that I don’t know, “Get the answer!”. AI obviously takes this to the extreme — do you ever ask AI for any of your questions? AE: All the time. I was having this conversation — maybe this is way too political. I just didn’t understand why people, both on the far left and the far right, were using the phrase “genocide” as it relates to Israel and I said, “How the F did that work?”, there was that book about how words were created, I forgot the name of the book, long time ago I read it. So I used Grok, and it said, “This guy, 1944, a lawyer , family went through the Holocaust, etc”, and I’m like, they’re trying to take a word that was created because of a genocide, by a Jew, and make it their own — the whole thing blew me away, we all constantly use it. But that’s a great topic where it’s like, are you going to have like an unloaded conversation about that? AE: Every time I ask somebody, “Do you know where that came from?”, I just did it with Bill Maher — nobody knows. This guy in 1944 was adopted by the UN in ’48, and they defined the term in two different — a Latin word and a Greek word, and it was crazy. There’s this aspect though, when you can ask AI anything — tech is really fundamentally atomizing as it is , you all have your individual feed, I could be sitting here on TikTok, you’d be on TikTok, we’re watching totally different things, even though we’re sitting next to each other. Although our TikToks would probably be relatively somewhat similar. AE: You’re looking at golf videos? I go through phases. AE: (laughing) I go golf and surfing videos. Yeah, we’re getting into skiing season, all very aspirational. Not reflected in real life at all, at least for me. But one area where we still would talk to people all the time is asking for help or asking questions, “How do I do this?”, “I’m trying to figure this out”. And one of the amazing unlocks for AI is you can do anything. My assistant was just here and, like, he’s creating all these AI apps, and he didn’t know what GitHub was. He had to do all these sorts of things, but it’s fine — he could just take screenshots, and the AI would walk him through it. So on one hand, that’s phenomenal, that’s amazing, anyone can do anything if they have volition. On the other hand, in one fell swoop, we eliminated an entire vector of human contact. AE: No question. I now no longer — if you really want to get to it — except for how to train, you can put videos of your golf swing into the AI and say— I have a friend that does this ! AE: “How does Mac O’Grady think about P2 and P3 and P5?”, and it shows you exactly. Yep, and he’s like, “My golf game has progressed more in the last three months because of that”. AE: A hundred percent. But the point of that is, I think this fundamental desire for human connection is going— AE: Going to skyrocket. That’s right. And so that’s the benefit of actual social media, not just UGC social media, but actual people that you know. It’s to the benefit of live and live events. AE: But don’t you think AI is going to help user-generated? It’s going to unlock more creativity? They’re going to be able to do more because of it, and create more interesting user — with a little bit of AI in it? And I don’t think that is going to be detrimental to interaction. Oh, I’m not saying UGC is going away, this is an “and”. AE: I agree with you. One thing that has come up in reading your book and thinking of your history, very sort of clear, you came up big in TV when it wasn’t super popular. AE: You know why? Because the scripts were short. AE: 39 pages. See, I actually read the book. AE: It was so fucking great when I saw that I stopped sweating when people used to give me 120, 140-page feature scripts. I used to, when I got them at CAA, I used to go to Warner Brothers, and I would have the person that was doing coverage get me the coverage. So if there was a modern screen-reading software where the AI could just read it to you, would you have been a movie guy? AE: Oh my god, I do it now. I read a bunch of scripts, but one of the great softwares, I use Speechify — it’s incredible how it reads the script to me, and I can get them done now, understand them all in an hour. It’s fantastic. But then you see streaming coming, that’s sort of a big shift and I think sort of being attuned to technological changes and their inevitability. I actually have a question about that, I want to ask about the streaming shift specifically. But where do you see AI then in terms of entertainment? AE: I think it’s going to be an incredible unlock for creativity. There’s going to be some disintermediation for people inside the system that now exist because you can imagine, very soon, you’re just shooting — either it’s a green screen or light stage — you get the shot, you put it into the AI, say, “I now want this”, or you do the makeup once, and then the guy or the woman never has to put on makeup. There’s going to be some difficult conversations. But for the likes of great filmmakers like Baz Luhrmann or Alejandro , I think it’s only going to be one of the great creative unlocks of all time, and David Ellison talks about it, a lot of people talk about it. And I think the cost of production is going to come down in a good way. That means there’s going to be more content and I think there’s going to be more time for the consumer, and therefore a lot more content being made because David Ellison’s going to pay $30, I think Netflix is starting to pay more, Disney, Amazon, that’s only a good thing. There’s going to be more content being made, more creative, I think you’re going to find also a lot more creative people that we’re not thinking about now that are going to use AI to create an incredible storyline. But isn’t this ultimately a YouTube bull case ? Why is that good for Hollywood? AE: No, I still think you need a Ben Affleck , a Marty Scorsese , a Baz Luhrmann — you need real, you know, Jim Brooks , Larry David — you need great creative to make great product. I don’t think it is like, “Oh, anybody can make a great movie, a great TV show”, I don’t think the AI is going to step into that breach, I do not believe that. Is it going to be, though, much more — you’re going to find the next great creators because they did get started on their own? AE: No, no, no. I think, first of all, if you are a creator — whether it be a writer, director, actor, whatever — this town finds you. Has that changed? How has that changed in the last 40 years? AE: It hasn’t. An agent’s going to find you, whether that be on YouTube or wherever, they’re going to find you and they’re going to help you and the great thing about being an agent is there’s constant conflict — budget, actor, distribution, storylines. Our job is to, one, get the best economics for you, find you the money. It’s going to be easier, because I think it’s going to be less money and then make sure the distribution, the marketing, and all that works properly. There’s going to be other ways to distribute it, that maybe you can create models that, depending on the economics, you can use the system on social, YouTube, etc., but the job of an agent to find those people — one, that are creatively incredible, and to match them and resolve the conflicts that occur — that is a skill set that I don’t think is going away anytime soon. Is Hollywood agents? Because I just asked about Hollywood, and you just gave me the bull case for agents, are they one and the same thing? AE: Well, you need us to make sure that whole assembly line of when products get made, to happen and sometimes it happens at the high end, which is a Warner, a Netflix, an Amazon, a Disney, and sometimes it happens at a smaller scale, and then you have to navigate how to get bigger people with better economics to buy it and that’s the job of an agent. One way to think about your career is you’re an agent, you’re hustling, start your own firm, firm needs to get bigger, you have two transformative deals — William Morris and then IMG . But then there’s the, “What? They just bought what? UFC?” AE: Well, what we did was, you know, this was Egon Durban and myself and when we were just William Morris, I was running around all over the world trying to raise money, as Teddy [ Theodore Forstmann ] got sick. In IMG, back in the day, I went to see Eike Batista in Brazil, who was at the time at $30 billion, one of the fifth richest men in the world, I saw Martin Sorrell when he was running WPP, Khaldoon [Al Mubarak] in Abu Dhabi, just to, “Okay, I think I’m going to need this amount of money”, and then I had been in business, you know, been talking through Raine , Marc Andreessen and Egon Durban. And Egon and I — when he had Skype, and then he had sold it, he wanted to put content on Skype, he had thought about that way before anybody was thinking about that. I think that was 2009 or ’10, so we had been talking about how to do that, he wanted Raine to invest. And he saw the world early, before anybody in PE had seen it, where it was going with content and distribution and that and when we had built the company, we were global, we had live events, we had sports production, sports distribution — we had negotiated all these deals on sports and movie and television rights. And we said, “We should now own something”, so we just had this combination where, when we represent something, we realized, “Oh, they’re losing value, and we could change it, then we could buy it”, we had the licensing business, all these things, we had sponsorship, if you put something on that you owned, you could really reap the benefits, and you do all the things anyway — you’re just collecting 10% and that was a conversation we had. The first one actually was PBR , and we made that work. And then Lorenzo and Frank Fertitta decided to sell and our nervousness was it was on Fox, the deal I had made — they could have stepped in easily, and then Jeff Bewkes at Warner wanted it, or his team wanted it. Jeff was trying to downsize, to sell it, and so he didn’t want to do it and that just left us against the Chinese, who was the other bidder. And Dana [White] didn’t want to go with them — he wanted to come, I’d known him for 20-plus years, and it was an easy transition. You just articulated it, because you moved from this somewhat unstable, like, why did you have to get big, people could leave you with clients, or agents could take their clients with them, into this much more stable owning IP. AE: Owning an asset. Owning an asset. But is there an aspect where, with AI, as it becomes more and more pervasive, as it creates more and more options in terms of content, that actually being an agent is going to be a better place to be precisely because of that human component that made it feel so unstable? AE: Yeah, I mean, I think there’s going to be an incredible place for being an agent. Incredible. Across everything we just talked about, sports. You’ve articulated — which I completely agree with — the extent to which AI supercharges particularly exceptional individuals . Presumably, those super-exceptional individuals would benefit from having an agent, I think that would be your take. AE: If they’re as creative as those super-exceptional people on the business side of their life in the entertainment business — creative as it relates to getting financing, structuring the deals, resolving conflict, marketing, bringing them new IP that they’re not thinking about — I think there’s going to be incredible value. Should people in technology have agents? If you have this sort of idea that — Keith Rabois has had this analogy of barrels versus bullets that companies only have a limited number of barrels, and a company’s capacity is constrained by how many barrels they have. And that most people are bullets — they are pointed and directed by the barrel, as it were. AE: You know, Mike Milken said to me once — he thought teachers one day would have agents. They’re probably doing the lecture business, and probably in the book business because he said universities are really going to be vying for the top. Well, you have this situation now. People are getting paid, AI researchers are getting millions of dollars. AE: And I guess you could say that’s an extension of what Mike said probably about nine years ago, ten years ago. I don’t see the value, personally, that I could bring but I’d probably — with probably some VCs, that probably could happen. Is the VC model even going to make sense, if actually it’s just going to be a world like the superstar world of Hollywood, actually going to be the model for lots of other industries? AE: And I have a really good relationship — I think Mark thinks that VCs are going to exist. Well, I mean, he’s very invested in making sure that’s the case. AE: (laughing) Do you think it is? It’s already changed tremendously. And one way that it’s changed is the first — I think — massive change was AWS , where you used to have to, your initial raising of money was literally just to buy the equipment, so you could actually express the idea and you had a shift to you could actually just build the idea, and then you could rent off of that, and as that’s progressed, right now, a lot of VC money is really just about distribution. On the consumer side, that could literally just be buying ads on the — but more traditionally, with like SaaS, it’s like sales teams, all these things. To the extent that’s the case, then it probably still has a role, because distribution is the hard thing, you’re going to have to pay for distribution. And so we’re basically — we’re already there. AE: They are actually agents, but for companies. And so I think actually the shift in VC already happened. AE: They’re the agents, they’re just not for the individual AI guys, but for companies. It’s also just a particular form of capital, the bigger threat question for VC is, “How many companies are there?”. If the models eat everything, that’s a problem, if the models end up being this commoditized layer on which you can build lots of companies and services, then it’s going to be a greater and greater. AE: Do you think software completely goes away? I just had Ryan Smith on the phone, you know, his firm, and he’s in the software business, and he’s saying they don’t go away. Definitely in his interest, he’s got to defend his. No, but I think the pricing pressure is going to be pretty severe. AE: And they bought at the high, all these guys. The credible alternative is rolling your own and it’s not just that rolling your own is going to be viable, but it’s going to arguably be desirable, because you can build the exact solution that you want. Now, the reality is, building software is fine, maintaining it is hard. I think a strength of American business generally is an overall allergy to doing stuff that’s not your differentiator. AE: I agree. I see this in us. I remember I went to Europe a couple years ago, and suddenly I realized why one of the reasons they’re so bananas about this data protection stuff is because, everywhere you go in Europe, they all have their own customized software that is asking for way too much information. Like, I’m going to a museum, you don’t need to know how many children I have with food allergies. Whereas everyone in the U.S. is like, “Oh, we’re not going to do that, we’re going to just sort of buy off the shelf from someone else”. AE: Because they have so many regs. I don’t know what it is. It’s crazy how many regs they have. It’s nuts. But this is sort of like a life philosophy thing I have, which is you will always benefit from doubling down your strengths, as opposed to trying to ameliorate your weaknesses — or fix your weaknesses. You paper over them to the extent that it’s possible, you can double down your strengths. And I think that U.S. business in general does a very good job of that and that is actually the optimistic case for software. AE: That is the engine of U.S. capitalism. Right. The U.S. tolerates more downside in exchange for more upside and that’s like an articulation of that. So given that, even though people could write their own software, it’s probably not going to be that smart to actually do it but there will be some cases where it just works so much better. I think the bigger problem for the software companies, at least in the short to medium term, is vastly increased competition for their customers. AE: Well, there’s going to be people that are going to do it. And then all of a sudden, one’s going to be incredible, because they’ve written this incredible software that competes with an existing — and then there’s going to be new competition, pricing pressure. If you had your lane and everyone had their lane, if AI actually supercharges productivity for every company, they’re going to want to expand horizontally , which means there’s going to be a lot more competition in other software companies. Which again is going to compete down margins. I think a lot of margin pressure, I think there will still be a software market. AE: A lot of these PE firms that invested at the high end are going to get crushed. Oh yeah. Yeah, like if you had money in, in 2021 or so. AE: Now, here’s the other question I have for you, what inning are we in on AI? It depends on what framework you’re looking at. AE: I’m just asking you, your framework right now. Very early. There’s a sequence of games, if you want to use the inning metaphor. By the way, I’m glad I’m in L.A. and know that you are not a Dodgers fan. AE: I’m a Cubs fan. I know. I’m a Brewers fan. I don’t like the Cubs either AE: You don’t like the Cubs? Yeah well, you’ve killed us. So shut up. (laughing) Back to innings. The game right now is the devouring of everything digital. And that is going to play out for a while. Any company that is digital is threatened. They have opportunities, but they’re also very threatened. There’s, I think, the next game is going into the physical world. AE: What do you mean by that? Robots. Like actual, like manifesting into — and I think that game is a lot further away than people think . AE: Because, let me just tell you something. I went up and I saw the hand that Elon’s building, which is incredible. It’s still difficult, very difficult to manufacture, very difficult to train. Chinese are not doing it any better. It’s hard. No, especially when it comes to fine motor movements. Really, really hard. AE: Yeah, it’s really, really hard. Will they get it? I think they’ll get it. I don’t know if it’s in two years. Not just that, but once you’re in the physical world — I mean, you can already see companies struggling with inference having marginal cost, when they’re used to compute basically being treated as free. Now, if you think about costs, it sort of throws a wrench in things. When you’re dealing with actual physical robots that will break down, and maintenance, and all these sorts of things, the cost structures are just totally foreign as well. So I think that’s quite a ways away. AE: Well, I say to everybody, Elon was talking about copilot or self-driving 12 years ago, 8 years ago, something like that. It’s now incredible, the car, even though he said probably a lot sooner, it’s now incredible. This is the Elon experience in a nutshell — what he says, the timing’s not always right. But what he says is right. AE: It’s going to happen. I just think the timing is a lot — you know, is it a decade? Is it five years? We’re a little bit off. But is that coming? And when that comes, it’s going to be an incredible — GDP is going to go crazy. Right. Well, but I think you can see even in the digital area, where everything in digital is threatened right now — and yet, not that much has changed, even though the AI’s capabilities are very high, because change takes time and one of my theses about SaaS companies, to sort of go back, is SaaS is actually a demographic story . AE: SaaS is a demographic story? That’s right. AE: What the fuck do you mean by that? So of course, you had to have the technology for SaaS to be possible — ubiquitous broadband, browsers with sort of capabilities to do web apps. But you also needed a generation entering the workforce that was used to clicking around on web pages to do stuff and that wasn’t a foreign concept. AE: Yeah, and that took a little bit of time. It took a new generation. And where, of course, “There’s a web app to do this sort of thing”, is the default assumption. You go back to the ’80s. AE: What was the first SaaS company? Depends how you define it, but I would say Microsoft, in that they really pioneered subscription pricing, it took a while to actually get there, that’s a business model question. I think from startups, I think Box is one of them that was very early. Poor Aaron Levie , he just got killed on his — he had such a vision for SaaS, but it was so early, it was so hard for him to raise money, that by the time he finally got that company to market, he barely owns a tiny slice of it even though he sort of helped write— AE: He’s really smart. Their prospectus is actually really interesting, they went out the first time, and total rejection by the market so they withdrew their S-1 and I actually talked to him about this at the time. And what came up with for the second S-1 was cohort analysis. This idea that — you need to not look at the company as a whole, because it’s going to be unprofitable, you look at a cohort, and it grows in profitability over time. And once you see that, you realize you actually want your SaaS company to be losing money, because the way monetization works, the more money you’re losing, the more your upside is actually increasing. Which ended up being — that was every S-1 that came after that had a cohort analysis in it. AE: That’s a little history. Yeah, a little history. But you go back to the ’80s, you had people bringing PCs to work — like toy PCs, like Commodores or Apple IIs, or even Apple I before that and that’s how the whole IBM/Windows story happens. IT administrators are like, “We want them to buy IBM, can you please make something for them?”. But even then, people were using it as a glorified typewriter. There’s just the generational component of — how are most people using AI today? As glorified search. That is the analogy to the glorified typewriter. AE: A little bit of topspin on it, it will take a generation. I mean, my wife now — she’s designing, for her fashion line, almost everything, then giving it to designers, designers are tweaking it, it’s going back and forth, that will just become like one more iteration, “It is what it is”. But at the top end, you still need the high-end designer to make sure the tweaks are human. The problem is the AI is sort of — it’s a probability distribution, you’re sort of definitionally getting middlebrow. AE: You’re getting — what did George Gilder say? You’re getting the greatest average. Right. But the other thing with AI is, if you just ask a general question, that’s what you get. This is part of my pushback on a lot of the safety stuff — AI is still a responsive entity, it responds to a prompt. AE: As I like to say, it’s like watching television, you’re still leaning back. The thing is, the AI will give you what you put in. And so if you talk to the AI about an agent-related question, the quality of analysis that you would get out of the AI would probably blow you away, this is really, really good. If I ask the AI an agent question, it’s going to be the most Wikipedia-esque, basic thing. I’ve talked about this, there was a friend — there was some court case that happened, I think it was something App Store related, it was relatively early on. I’m like, “It was unbelievable how good the AI analysis was”, because I was going back and forth with it, and he’s like, “Oh really? I wasn’t impressed at all”, and I looked — he had asked the AI, “What do I think about this case?”, and it was the most generic answer, it’s such a general question. Whereas I already had an angle on it, because I knew a lot about the area. But I also asked a very specific legal question about it, and then it was like very in-depth. AE: That’s why I think there’s going to be an incredible creative unlock in our business. When Baz Luhrmann is inputting what he wants as a scene, as a shot, etc., and he’s giving it exactly what you’re saying — what he needs — or Ben Affleck, or Pete Berg , or whatever — the conversation is completely different from you doing it. Right — I have no idea what to ask for. AE: Yeah, and I just think there is that 5% that I do not think the AI, because it’s the greatest average, is going to be able to kind of take the next step. I don’t believe it gets past that point. I still think the human condition is needed, and that’s where the greatest value comes from. Right. Also, for stuff that is sort of net new, and taste — taste is not a verifiable function. AE: It’s the black box. That’s right. So one thing that was interesting, you mentioned the politics angle before, I want to ask you another question about your phone call thing. You mentioned you called one of your most famous people you represented — who was obviously Donald Trump, who you fired in 2016. AE: I didn’t fire him! The President shouldn’t be making money. I can’t make money, it’s okay. You related a phone call that you had in 2024, after he was reelected, and I love the anecdote, it was just like a very sort of back-and-forth conversation. Is he the one person in the world who likes to talk on the phone more than you? AE: He likes to talk on the phone, he always picks up, he’s incredible on the phone. He’ll pick up, talk to you about anything, and you can say anything you want to him. Tell him your point of view on it, he’ll push back or not, he’ll take it in, he’ll say what things are that are on his mind, and you can push, have a conversation, and then he’s off the phone. Right. Well, because you mentioned this in the context of, obviously, Dana White spoke at the Republican Convention, Elon Musk was part of the administration, you’re close to both for obvious reasons. And you said in the book, like, “Yeah, I lost the election, but I’m not going to not be friends with half the world”. AE: Yeah, I’m not going to not talk to you. I completely agree with, I think that’s a great sentiment. How much of that is actually intertwined with you being the phone guy? Like, how much of the feeling, like, “I can’t even relate to or connect to people on the other side”, is because people are living in text? AE: I don’t think you can get a sense of a person unless you’re either Zooming or FaceTiming with them, or talking to them. I said it at the beginning — I don’t know if you’re joking or being serious on a text, it’s just too hard, I’m not that sophisticated, and it gets completely misinterpreted. If I pick up the phone, you can say whatever you want to me, you can be aggressive, not aggressive, I can be aggressive, not aggressive. You know exactly who you’re talking to. Or you FaceTime, or you’re doing a Zoom — that’s human interaction. I mean, it’s a little bit distant if it’s a Zoom or a FaceTime, but it’s, you know, during COVID we had to do that but that’s how people can truly understand people and get across their opinion. A lot of times with Elon, I’m texting. But you have a foundation of talking to him in person. AE: A long time. But at least there’s a conversation happening, and you believe it’s familial — that you’re humans and you’re talking. Right, it gives the benefit of the doubt. To the extent that AI comes along and wipes out digital, because everything digital is under threat, and AI is actually going to do everything digital better — things like MARI are more interesting and compelling. Not just because there’s more free time. AE: I think the multiples on MARI are — not that they go up like AI, but are on the same path. I hate that people have framed it as the anti-AI bet. It’s a pro-AI bet, you guys are going to consume all this other stuff. AE: When I say — I’ve said the phrase “anti,” meaning the opposite bet of AI. It’s like the bizarro-AI bet. Yeah. AE: Yeah, it’s like — what’s going to happen in the world? Well, this is going to have to happen, because we’re human, we’re social animals, I think the multiples are going to go up. Not maybe in comparison, because it’s just the economics between them — but they’re going to go up in live. Are you going to actually solve political polarization? Because digital — how much is that actually a driver of this? And people are going to get back to the real world, talking to people. AE: Here’s my opinion about it. I think when you have live events, or live sports, or live music like Michael Rapino , it brings people from all social elements together. I mean, one of the things my brother Rahm Emanuel is saying — he wants to bring back a requirement that people do service for the country — because it’s the way it used to be, where somebody from X neighborhood and somebody from Y neighborhood that would have never interfaced, do service to the country for 18 months and that we all kind of understand each other. When I go to a baseball game — I was at a baseball game, sitting watching the Cubs win — there was a guy next to me, he’s definitely a Republican. It was obviously not a Brewers game, because the Cubs won. AE: No, it wasn’t a Brewers game. We didn’t care that he was Republican and I was Democrat. We were just cheering for them, and it kind of broke all barriers and that’s hopefully the two businesses that I’m in heavily. That’s the great thing about it. For sure and that’s very optimistic. I guess the question, though, is if you think about the MARI business model, and you go to like the Miami Open or something like that — is there also an underlying thesis that actually the rich are just very under-monetized? AE: I think high-end experiences are only getting better, because there’s a great deal of rich people that want singular experiences. But we create environments for all. And, you know, there’s inside the tennis tournament, there’s XYZ, and outside there’s another 10,000 people watching it on all the screens. And Larry Ellison and David Ellison do it, and their event — we do it in Madrid also — where anybody can come and have an experience so I think we’re trying to optimize for all. And what overall — is there a thesis with MARI that you can sort of systematize this delivery of live experiences, and do that at scale? AE: So we have it broken down. There’s the sports vertical, which is our tennis tournaments, our participatory sports. We have our collectible business, which is Frieze , Barrett-Jackson , Collect-A-Con, which is our Pokémon experience. Then we have, like, a holiday — Winter Wonderland, our food festivals — all the stuff in that. And then we just executed against the theater business. So the West End and Broadway — we have 70 theaters in this company called ATG. We think that is a kind of incredible — there hasn’t been one person on the live event side that exists. In the music space, it’s Live Nation and AEG. In live events, there are onesies and twosies, and so we’re trying to capture that. And what we do is, between taking things international when it’s a domestic thing — like Frieze, it was in London and New York. Now there’s two events in London, one in New York, now there’s two events in New York, one in Chicago, one in L.A., one in South Korea. And now we’re just — I think next month, we’re doing one in Abu Dhabi, and there’s other areas. We’re going to do the same thing with Collect-A-Con on the Pokémon business, you saw how we’ve expanded when we had UFC — performance institutes and our fights all over the globe now. Then we do unbelievable sponsorship, site fees now, that’s what we do, so we’ve kind of got it down to a system of how we monetize the assets. So what is next? Is it just acquiring more events, then, so you can plug into the system? AE: It’s really taking our events, like Frieze, and we’re looking at different art fairs all over the place. Barrett-Jackson — can we expand it internationally? Other car auction businesses we can get into? Are there other things like Collect-A-Con — that’s Pokémon, are there other ones that we could do? And so we just look at them. When ATG came available, it’s the perfect kind of vertical that we didn’t have, that we wanted to have. When you think about these events — but also do it like TKO and UFC and WWE — what do you think, from a business model perspective? Is it ticketing? Is it advertising? What’s the balance between those? AE: It first starts with broadcast globally. Then from broadcast, you’re the sponsorship. Then where you take the events internationally, can you get site fees? Then you’re adding — there’s a customer that wants really high end, and will pay for really high end. And then there’s the general public, making sure their experience is incredible. And so those four or five stacks are how we think about the business, to maximize economics. How does that align with the way you think about UFC and WWE? AE: Those are all the things that it started. This concept started with the UFC and then we brought our sponsorship business, our site fee business to the WWE, our premium ticketing business, our ability — Mark Shapiro and myself — to make sure our broadcast deals, domestically, internationally, all of that. For those broadcast rights business — are those, in the long run, going to be about driving subscribers or driving ads? AE: I think for each company it’s different, but they’re all moving to an SVOD and AVOD service. One of the things that we saw early on at the UFC, we knew that they were going to have to get to an AVOD — from a SaaS model to an advertising-based model and one of the greatest drivers there is sports, because it’s the greatest reality show. The Monday Night game — you don’t know what’s going to happen. Overtime, you think the Rams are going to win, the Bills won, and it’s the greatest model. It’s the same thing with our sports so it’s one of the great drivers and you now have four big competitors. Do you have any concern about ending up in sort of monopsony situation where there’s not enough buyers? AE: No. They’re all going to need it. And there’s going to be a bunch of them? AE: You’re now going to see what happens with Comcast and Apple. You have YouTube out there, I think all these models are going to change. One of the fastest things growing for David Ellison at Skydance is Pluto . Right. Fox put together Roku and Tubi , which I thought was a great deal. AE: So you’re going to have a lot of bidders. The one thing that’s great — and I think about this all the time — if the Lakers are $12.5 billion. Fantastic. Love the franchise. Good story in your book about buying tickets. AE: That’s a team. And that’s not the league. If a team is worth that, what are my four leagues worth? Because we have boxing, WWE. Is that part of the allure of the UFC and WWE — you kind of get the whole thing? AE: Yeah, running a league is different than running a team, they’re both very difficult to do. You know, they both have their personnel issues and management issues and etc. But, you know, Mark and I — The difficulty is the moat. AE: Mark and I run leagues. Those are hard things to do, as opposed to just a team. You’re thinking about different things, and if a team is worth that — what are the four leagues worth? I have a different conversation than the stock market is telling us right at this moment. Is the sporting asset, given your whole model, that you are the most jealous of, Formula One ? AE: No! I think it’s an incredible sport. Just all the things you’re talking about — the combination of the in-person events plus the rights, and all those sorts of things. AE: I mean, think about it. First of all, I love golf, I love snooker. I mean, there’s a lot of sports that I love, that doesn’t mean that I want to be in business with them, or run them. Is there a world — just to go back historically a little bit — where you see streaming coming, and streaming shows up, and it’s actually this big boom, because it’s an extra window? AE: At the time, remember, you had network syndication, so on the RSNs, you then had a cable window, it was incredible. And then all of a sudden Netflix came, you had a third window. And is there a world where that actually persists? AE: Well, I don’t think the syndication model — first of all, most shows are happening on streaming. You don’t get to 100 episodes, which was required. But the reason they’re happening on streaming is because everyone decided they need to compete with Netflix. Instead, there’s a world where everyone accepts Netflix as the permanent third window, and actually makes more money all along instead of shooting themselves in the foot . AE: That’s a logical conversation. But let me say the other side of this conversation. Do I think the network business goes to zero in cable? No, I don’t. So there is going to be a play. Remember, the original — when I was in the business, you needed to get to 100 episodes to get into syndication, now you’re doing 40 episodes. That’s a lot these days. AE: That’s like four seasons. So what’s the syndication window to that? It’s different. And Netflix is owning them, HBO is owning them, you’re just negotiating for the profit participants. Is Hollywood logical? AE: Yeah. That’s the only way I know — that you’ve been able to create over 100 years of great entertainment on the global scale, one of our great exports in the United States. Don’t you think? Oh, for sure. Massive soft-power instrument. AE: And I think it’s probably on the export basis — I might be wrong about this — probably our fifth or sixth most important export economically. I write about media along with tech and Hollywood to a certain extent and my hit rate feels lower than it is, sort of, with just more tech companies and I hate the explanation that it’s because Hollywood acts more irrational. AE: Not on every individual movie or television show. Because what do they say — if you’re batting .300 in baseball, you’re in the Hall of Fame. Same thing in Hollywood. So that’s, you know, there’s 66% — right — you’re screwing up. Well, you mentioned David Ellison several times. Why is what he’s doing make sense? AE: He believes if you change the tech — he believes that there’s going to be more consumption, economics for creating products is going to come down, that he’s going to be able to create unbelievable value in the SaaS model, and also take this direct-to-consumer business with the ad-based model that he has now, and also create vertical content on-site that he can kind of capture greater value than it currently exists. He’s the only one that will own his cloud, own his tech, etc. Netflix has AWS, I think Disney’s trying to change its tech right now. Why do you need to own your own cloud? AE: Well, I think he thinks — I think by owning that data, he’s going to get more understanding of the consumer and etc. We’ll see, that’s his point of view. Can I ask you a question? Did you like the book? I did. I was plowing through — no one cares about my personal schedule, but it’s been very fraught, but I was listening to it while driving, and I discovered on the plane I could listen at 3.5x speed and read at the same time, and it was unbelievable, I’ve actually never done this before. AE: I do it all the time. Both at the same time. AE: I don’t look at the book. When I’m listening, I usually do a 3, 3.2x — you fly. But if you’re listening and reading, you enter such a zone. I was flying — I flew here this morning from Chicago to L.A., I was shocked when we were landing. But it helped. I thought the book was very entertaining, I enjoyed it. How much did you write versus— AE: You know, what we did is, when we started in 2016, [J.R. Moehringer] just kept on asking me questions. Then I answered all the questions. We met once a month, and every other week, every other month, and then he first met all my assistants. I was going to ask you, how many assistants have you had? AE: A lot. Some of them had kept journals, it was the craziest thing, then they met family members, friends and so he just compiled it, and then he and I went back as he was piecing it together. Then we were supposed to end when we first went public, but we didn’t go public, and then we just continued until it was 10 years. What would you add if the book had come out a year later? What’s missing from it? AE: I don’t know. The response has been kind of crazy from parents that have dyslexic kids, people that have dyslexia, people loving — like, re-understanding that being aggressive and rage, and taking agency for yourself, is a good thing, not a bad thing, because they’ve grown up in this place where you have to be delicate. It’s been crazy. So all in all, I’m completely happy to where it’s at right now. Yeah. The bit about you know, you frame it as rage, but really just agency — forcing resolution. AE: Yeah. I think that’s important to get to the end. I was having a conversation today about it. It’s like, why do I want to play this stupid game? Like — I know what you’re doing, you know that I know, let’s just have the conversation. You have to do this for this reason, I know that, just get to it already. I cannot stand this whole gray area. I can say I don’t like you, or I like you, and here’s what you did to me, and here’s how I feel about it, and go fuck yourself, and it’s ok. Isn’t that, like, very — particularly on the West Coast — West Coast always strikes me as much more indirect, passive-aggressive. AE: Oh you don’t think Wall Street or Silicon Valley is indirect? No, Silicon Valley is. I think Wall Street’s much more direct. AE: Oh you do? I was thinking about the East Coast versus West Coast, you’re from Chicago. AE: We’re pretty direct in Chicago. Yeah. Is that the real secret? AE: Maybe. I mean, it’s the only way I know how to do it, maybe that’s because I grew up with my mom and dad, and that’s what we did at our dinner table. Well, thank you. I’ll remind you — we’ll have an ending, since we didn’t have a beginning, but thank you for coming on to Stratechery. AE: (lauging) I appreciate it. This Daily Update Interview is also available as a podcast. To receive it in your podcast player, visit Stratechery . The Daily Update is intended for a single recipient, but occasional forwarding is totally fine! If you would like to order multiple subscriptions for your team with a group discount (minimum 5), please contact me directly. Thanks for being a supporter, and have a great day!

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My Scheme

Read on the website: Scheme is fun and pretty! It could be even more perfect, and that’s what I explore in this post.

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Unsung Yesterday

“No standard format for writing data to these tapes”

An 11-minute video from MattKC documenting huge effort to revive a backup tape from a 2000 game Frogger 2: Swampy’s Revenge: = 2x) and (width >= 700px)" srcset="https://unsung.aresluna.org/_media/no-standard-format-for-writing-data-to-these-tapes/yt1-play.2096w.avif" type="image/avif"> = 3x) or (width >= 700px)" srcset="https://unsung.aresluna.org/_media/no-standard-format-for-writing-data-to-these-tapes/yt1-play.1600w.avif" type="image/avif"> This is a pretty harrowing story of restoration, including an extremely obscure backup tape made by a short-lived Dutch company, attempts to reverse engineer a poorly documented data format, a data recovery company that damaged the tape instead of restoring it, and a mad hack to trick the drive into reading it anyway.

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SerCe Yesterday

Faster, Better, Stronger is not a Strategy

This article defines what a platform strategy is or isn't and provides an opinion on how to write one.

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sunshowers Yesterday

More on Anthropic's Scion ripping off Mononoke

Update: Nick G. from Anthropic has responded on Hacker News , and sufficient attribution has been added to Anthropic’s blog post. I stand by my posts as of the time I wrote them. Discuss on Hacker News . In response to yesterday’s post about Anthropic’s Scion ripping off Mononoke, I received a number of questions and concerns. Here’s a followup to answer the big ones. This was a ripoff. My post yesterday was trying to be as charitable as possible given what I knew, and in particular that the similarity to Mononoke was mostly unintentional and the lack of credit was the result of not doing due diligence. However, after publishing the post I privately received confirmation that Scion intentionally and blatantly ripped off Mononoke, and in particular that there was overlap in personnel. There is no chance that this was an unintentional homage. This is something I had a hunch about but was not comfortable saying yesterday, given what I knew back then. The resemblance is much deeper than just the notion of derived data. Some people pointed out that derived data is just an index, which is a well-known concept. I want to clarify that derived data was merely the most striking resemblance. It goes much deeper than that, and extends to the entire data model, as well as a number of the structures built around it. Here is how Anthropic describes Scion changesets: Mononoke has the same concept; we call it a Bonsai changeset. In the same Oxide materials from 2022, here’s how I described them: They are exactly the same. Even the name “Scion” reverses the syllables of “Bonsai” and drops the “B”! This might be a coincidence, or might not. For derived data, I also wanted to draw attention to the kinds of indexes being built, such as for blame. Needing to do this is a natural consequence of the Bonsai data model, so it’s not surprising that indexes need to be built; I was drawing attention to the striking similarity in terminology and framing, because that was indeed how we used to think about it during my time on Meta’s source control team. Another set of resemblances is in the server-side API to do version control queries and mutations with. This was implemented in Mononoke, but I believe other systems before Mononoke had it as well, so I’m not going to claim novelty. But if what you did is point Claude at Mononoke and asked it to rebuild that, you would probably design something very similar. The Bonsai data model is wildly contrarian. I want to emphasize that the prevailing wisdom in source control is Git-like data models. Building a write-ahead log-style Merkle DAG was very far away from what anyone else was doing in 2018, and required solving several hard problems along the way such as how to perform server-side rebases (to my knowledge, one of several novel algorithms in Mononoke). While I was leading the team effort to design and implement the model in 2018, I personally had to justify it to several layers of management at Meta. It is quite rare for skip levels to get pulled in to discuss a system’s data model in depth. The Bonsai data model is also wildly successful. At this point, almost a decade later, the model has been stretched far outside its initial design parameters, and it’s still chugging along. The team effort to build it remains one of my proudest career achivements. Given the overlap in personnel, there is no reasonable way the Scion team could not have known about this. (Which is why they quite reasonably copied it!) This brings us to my next point: The problem is attribution, not copying. I mentioned this in my original post, but I am completely fine with good ideas being copied. I am not fine with the serial numbers being accidentally stripped off, and I am certainly not fine with them being intentionally stripped off. Crediting Sapling for “hard-won lessons” is not enough. Several people pointed out that Mononoke is part of the Sapling ecosystem. The problem here is that Sapling can mean either the VCS client ( , originally forked from ) or the system as a whole. If you were previously on Meta’s source control team, you absolutely know the difference between the two. Besides, the resemblance is much, much deeper than merely “hard-won lessons”. The Lore VCS can claim inspiration from Mononoke, but it differs in several ways as well. Scion’s resemblance to Mononoke goes well beyond that, and merely crediting Sapling (not even Mononoke) with “hard-won lessons” is dishonest. (And specifically, I would expect the Scion changeset section to mention Bonsai changesets as the thing they are copied from.) This makes Anthropic’s achievement significantly less impressive. Anyone who’s put a distributed system into production knows how many issues tend to crop up during the productionizing process. “Our LLM built this thing, productionized it, and dealt with all the attendant challenges over 5 months” is a significantly more compelling narrative than “the source control team at Meta had spent 10 years building and productionizing this system, and we were able to point our LLM at it and rebuild it in 5 months”. …and yet, it is still quite an achievement. Being able to point to an existing system and rebuild it in this short a period is still quite stunning. It is shocking to me that Anthropic didn’t just say they copied Mononoke and rebuilt it in 5 months. That is still noteworthy, even if it isn’t as grand. Surely they knew they would be called out? It is always good to situate your work in the larger context. We all stand on the shoulders of giants! There is nothing wrong with borrowing and adapting existing work to new contexts — that is the vast majority of what I do as an engineer. When you position your work as derivative, you are acknowledging those that came before you, as you hope to be acknowledged by those who come after you. There is nothing without the team. On a personal note, it’s been many years since I worked on Mononoke. There is a team that still carries the torch forward all these years later. Anthropic ripping the Bonsai data model off hit me hard, but spare a thought for the team working on it now: those who were most directly plagiarized. Imagine how they must feel about their work being deliberately copied wholesale and intentionally presented as someone else’s. It’s been two days since I first posted about this on Bluesky and Linkedin, and I haven’t seen an update to the original post yet. This remains yet another shameful example of large AI companies appropriating the commons and presenting others’ work as their own. I don’t know what it will take to rebuild bridges from here, but my default assumption now is that Anthropic’s public engineering presentations are largely bad-faith ripoffs. That’s a shame.

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Unsung Yesterday

“Is clip art actually dead?”

A good video from Linus Boman about clip art , most (in)famous from Microsoft Office, and specifically PowerPoint of the 1990s–2000s: = 2x) and (width >= 700px)" srcset="https://unsung.aresluna.org/_media/is-clip-art-actually-dead/yt1-play.2096w.avif" type="image/avif"> = 3x) or (width >= 700px)" srcset="https://unsung.aresluna.org/_media/is-clip-art-actually-dead/yt1-play.1600w.avif" type="image/avif"> Turns out clip art is a lot older than I expected, and… it also never fully went away. On top of that, Boman covers a lot of aspects – from quality and perception, through the “user interface” of clip art, to how the means of conversion and reproduction changed it forever. I also loved the little “sidebars” in the video. Even if you don’t care about clip art per se, a lot of the threads in the video will be relevant to things like shadcn , Inter , Google Fonts, Canva, The Noun Project , the Claude aesthetic , and so on. Also relevant: Internet Archive’s MS Clipart Search .

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Farid Zakaria 2 days ago

Always, sometimes, never

Exit 0 means your program exited 0. That’s it. That’s all it means. 🍞 I have been working on a deterministic VM called Rewind VM , where “a run” (i.e. test, command etc.) is a function of its inputs including the thread schedule. The determinism comes from the tool recording every step which lets you replay it exactly. This alone is a pretty good way to find flaky tests: run the test under Rewind, then runs it under many different thread schedules, with some slight latency added, and failures often crop up. 🐛 Feedback however was that it was not enough: the tool could find a failing schedule, but it could not tell you if that schedule was actually a bug. It only knew that the run ended differently than the original schedule, which could be a crash, a timeout, or just a different exit code. That is not enough to say “this is a bug”. Someone pointed out that I had built most of a property-based testing tool, but I only had one property: matching exit codes. What is property-based testing ? If you have used QuickCheck or Hypothesis , you have already used the idea. You write a property, or constraint, that must hold for every input. The tool generates lots of inputs, and when one breaks the property, it shrinks it down to the smallest input that still fails. already did the generating and the shrinking. The inputs are thread schedules, and narrowing shrinks a failing schedule down to the one step that causes the failure. The only property though was “the run ends the same way schedule 0 did”: the same exit code and the same outputs. That’s a pretty low bar, but easy to improve. 🙃 Rewind now lets specify properties that must be true for every run, or must be true for at least one run, or must never be true in any run. Let’s keep the bank from last time : two tellers deposit into one account from two threads, without a lock . This time the example is in Java as a JUnit 5 suite to appeal to my Enterprise brethren. 1 A teller that runs between the other’s read and store writes a stale balance over the other’s deposit. 💥 We include a “typical” test suite: one teller, two tellers concurrently, and a new account being empty. We run it and see all tests pass and head home for the day. 🍺 Is the code correct? Let’s use Rewind to dig further. Before even looking at the balance, Rewind knows a lot about what a run did . Every open, write, rename, close, fork and exit is in the trace, with the step it happened at. Rewind ships properties computed from the trace alone: Let’s throw a few at the bank and only run schedule 0: Interesting! writes its performance counters to 2 . It has nothing to do with our bug, but I included it because I learned something new and it could have been a bug if it did not include the process ID. The file properties shine for bugs between processes. The properties tutorial has a program that rewrites its config in place while another process rereads it. Its own test fails only when a read lands between the truncate and the last write, but flags it on the very first run. 😲 The bank’s real invariant is not in any syscall though. It lives in memory in our example: the balance variable must add up . For that there is the Rewind SDK , a tiny library you call from your program. Each call writes one line to , a device in Rewind’s VM, and the trace keeps it with the step, process and thread that wrote it. 3 must be true every time the program reaches it. is its opposite: a run that reaches it at all fails. These are your typical , except we get the whole replay if it fails. is the one I find the most interesting and tough to think through at times. 🤓 It tests the search: its condition must be true in at least one of the runs check tries, and it never fails a run. In model-checking terms, is a safety property (nothing bad happens in any run) and is a reachability property (some run gets there). Here it asks whether any run had both tellers inside at the same time. Look at the output above again: The suite passed under schedule 0, but one teller always finished its deposit before the other started. That pass told us nothing about the race. 🤷 Let try its default 64 schedules: That took 40 seconds on my laptop 4 and we found that two deposits went missing. The first line is the again: of the 17 runs check tried before it found the failure, 11 had both tellers inside at once. The fix is the obvious one: hold a lock from the read to the store. Every schedule passes, but is that enough to make us feel warm and fuzzy? The line is what gives me the warm embrace: in 42 of the 65 runs the tellers ran concurrently, but the lock prevented the bug. ✅ 5 A condition that is only true when the bug happens can never be true once the bug is fixed. 💡 Java developers though love writing JUnit tests. Fear not my FizzBuzzEnterprise colleagues, Rewind has you covered: the SDK has a JUnit 5 extension. Put on the test class and it marks each test’s start and result. If you can’t touch the code, reads the XML reports the runner wrote instead: Maven’s surefire, Gradle, pytest’s , whatever writes the format. The Rewind app shows the timeline of a run, with the tests and the build log. The failing test is red, and the event card names the assertion that failed. The strip under the timeline has a span per test: green passed, red failed. Each include a helpeful tooltip with the test name and the steps it ran. All the other Rewind features can then be used to help isolate the cause: the source panel, gdb on a fork at any step, the thread lanes and Check from here. There is a SDK for many languages already included in the Rewind repository. They are tiny, and the only dependency is the Rewind VM itself. The SDK is a single file or two per language, and you can copy it into your project. 6 The properties tutorial goes through each piece step by step, and the advanced tutorial has script properties and a file of properties to keep beside your tests for the more adventurous. If you happen to find any interesting bugs with Rewind let me know. I am keeping track of a small leaderboard of the best ones. 🏆 It is in the Rewind repository, next to the C version.  ↩ turns it off.  ↩ Outside Rewind the device does not exist and every call does nothing, so the calls can stay in your code.  ↩ The JVM is chatty: 148,479 steps for three tests, where the C equivalent takes about 4,500.  ↩ This counter must sit outside the lock. With , the second teller would wait before it reaches the counter.  ↩ The SDK’s README has the format instrunctions if you want to write one for another language.  ↩ C and C++ : , Go : and for Python : , and a pytest plugin that loads itself Java : and the JUnit 5 extension It is in the Rewind repository, next to the C version.  ↩ turns it off.  ↩ Outside Rewind the device does not exist and every call does nothing, so the calls can stay in your code.  ↩ The JVM is chatty: 148,479 steps for three tests, where the C equivalent takes about 4,500.  ↩ This counter must sit outside the lock. With , the second teller would wait before it reaches the counter.  ↩ The SDK’s README has the format instrunctions if you want to write one for another language.  ↩

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