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Happy end-of-2024! It’s been a pretty good year overall. I’m thankful. There’s no way that I’ll be able to remember and carve out the time around New Years to write this, so here’s some end-of-year roundup, ahead of schedule! Running This was my biggest year for running on record: 687 miles as of today. I think the biggest difference with this year was just that nothing stood in the way of my being pretty consistent and putting in the miles: the weather has been mild, I haven’t had any major injuries, and long runs have felt pretty good. I was happy to hit a half-marathon PR (1:36:21), but my performance in 5Ks was far short of the goal of sub-20 – partly because Brooklyn’s wonderful 5K series was run at the peak of summer, with multiple races at over 85°F. I learned the value of good lightweight running gear: Bakline’s singlets and Goodr sunglasses were super helpful in getting me through the summer. Work Val Town raised a seed round and hired a bunch of excellent people. We moved into a new office of our own, which has a great vibe. It’s been good: we’re doing a lot of ground-up work wrangling cgroups and low-level worker scheduling, and a lot of UX-in work, just trying to make it a pleasant tool. Frankly, with every product I’ve worked on, I’ve never had a feeling that it was good enough, and accordingly, for me, Val Town feels like it has a long way to go. It’s probably a good tendency to be sort of unsatisfied and motivated to constantly improve. New York It’s still such a wonderful place to live. Late this year, I’ve been rediscovering my obsession with cycling, and realizing how much I whiffed the opportunity to ride more when I lived in San Francisco. I guess that’s the first time I felt genuinely nostalgic for the West coast. I miss DC a bit too: it’s one of the few cities where my friends have been able to stay in the city proper while raising children, and I miss the accessible, underdog punk scene. But Brooklyn is just a remarkable place to live. My walk score is 100. The degree to which people here are in the city because they want to be, not because they have to, shapes so much of what makes it great. Other ‘metrics’ Relative to my old level obsession about self-quantification, my ‘metrics’ are pretty moderate now. Everything’s just backward-looking: I’m not paying much attention to the numbers as I go, it’s just fun to look at them year-over-year trends. That said, this was a lackluster year for reading: just 18 books so far. I think I just read an above-average number of books that I didn’t enjoy very much. Next year I’m going to return to authors who I already love, and stay away from genres that – the data shows – I don’t like. Whereas this was a banner year for watching movies: not great! Next year, I want to flip these results. Of everything I saw, Kinds of Kindness will probably stick with me the most. Placemark It seems like a decade ago that I released Placemark as open source software, as developing it as a closed-source SaaS application for a few years. But I did that in January. There have been a few great open source contributions since then, but it’s pretty quiet. Which is okay, somewhat expected: there is no hidden crowd of people with extra time on their hands and unending enthusiasm for ‘geospatial software’ waiting to contribute to that kind of project. Placemark is also, even with my obsessive focus on simplicity, a pretty complicated codebase. The learning curve is probably pretty significant. Maps are a challenging problem area: that’s what attracts a lot of people to them, but people who use maps persistently have the feeling that it couldn’t be that complicated, which means that few users convert into contributors. There are a few prominent efforts chasing similar goals as Placemark: Atlas.co is aiming to be an all-in-one editing/analysis platform, Felt a cloud-native GIS platform, and then there are plenty of indiehackers-style projects. I hope these projects take off! Figma plugins I also kept maintaining the Figma plugins I developed under the Placemark name. Potentially a lot of people are using them, but I don’t really know. The problem with filling in water shapes in the plugins is still unsolved: it’s pretty hard and I haven’t had the time or motivation to fix it. The most energy into those plugins this year, unfortunately, was when someone noticed that the dataset I was using - Natural Earth – marked Crimea as part of Russia. Which obviously: I don’t draw the countries in datasets, but it’s a reasonable thing to point out (but to assume that the author is malicious was a real downer, again, like, I don’t draw the countries). This decision from Natural Earth’s maintainer is heavily discussed and they aren’t planning on changing it, so I switched to world-atlas, which doesn’t have that problem. Which was fine, but a reminder of the days when I worked on maps full-time and this kind of unexpected “you’re the baddie” realization came up much more often. Sometimes it was silly: people who complain about label priority in the sense of “why, at zoom level 3, does one country’s name show up and not anothers?” was just silly. The answer, ahem, was that there isn’t enough space for the two labels and one country had a higher population or a geometry that gave their label more distance from the other country’s centroid. But a lot of the territorial disputes are part of people’s long cultural, political, military history and the source of intergenerational strife. Of course that’s serious stuff. Making a tool that shows a globe with labels on it will probably always trigger some sort of moment like that, and it’s a reason to not work on it that much because you’re bound to unintentionally step on something contentious. Other projects I released Obsidian Freeform, and have been using it a bit myself. Obsidian has really stuck for me. My vault is well over 2,000 notes, and I’ve created a daily note for almost every day for the last year. Freeform was a fun project and I have other ideas that are Obsidian plugin-shaped, though I’ve become a little bit let down by the plugin API - the fact that Obsidian-flavored-Markdown is nonstandard and the parser/AST is not accessible to plugins is a pretty big drawback for the kinds of things I want to build. Elsewhere recently I’ve been writing a bit: Recently I’ve written about dependency bloat and a developer analytics tool we built at Val Town, and started writing some supplementary documentation for Observable Plot about parts of its API that I think are unintuitive. On the micro blog, I wrote about not using GitHub Copilot and how brands should make a comeback. This blog got a gentle redesign in May, to show multiple categories of posts on the home page, and then in August I did a mass update to switch all YouTube embeds to lite-youtube-embed to make pages load faster. I’m still running Jekyll, like I have been for the last decade, and it works great. Oh, and I’ve basically stopped using Twitter and am only on Mastodon and Bluesky. Bluesky more than Mastodon recently because it seems like it’s doing a better job at attracting a more diverse community. I’m looking forward to 2025, to cycling a lot more and a new phase of startup-building. See you in the new year.
I still use Bandcamp almost exclusively to buy music, and keep a big library of MP3s. The downside is that this marks me as a weirdo, but otherwise it’s great and has been working well for me. Since I last wrote about it, Bandcamp was acquired by Epic games (?) and then acquired from them by Songtradr, and its employees are trying to get recognized as a union. Times are changing and Bandcamp is no longer a lovely indie company, but it’s still a heck of a lot better than Spotify. People (who?) are sharing their ‘Spotify wrapped’ auto-generated compilations and I wanted the same, for my Bandcamp purchases, so I built it on Val Town. You can create your own! Or edit the code of the tool that generates them. Because of API limitations – really, the absence of an API – it requires you to copy & paste content from your purchases page, but isn’t copy-and-paste really a kind of API? Anyway: Vampire Empire / Born For Loving You by Big Thief Patterns by Pool Boys Acadia by Yasmin Williams Cascade by Floating Points of course i still love you by Darwin Deez (pre-order) 4 | 2 | 3 by MIZU Son by Rosie Lowe & Duval Timothy Imaginal Disk by Magdalena Bay Dirty Projectors by Dirty Projectors Green Disco by Justine Electra Daedalus by Daedelus You Look A Lot Like Me (2016) by Mal Blum Big City Boys by Cailin Pitt Promises by Floating Points, Pharoah Sanders & The London Symphony Orchestra Windswept by Photay Jessie Mae Hemphill by Jessie Mae Hemphill Rituals by Ishmael Ensemble 1992 - 2001 by Acetone Final Summer by Cloud Nothings Bright Future by Adrianne Lenker La Forêt (2024) by Xiu Xiu Frog Poems by Mister Goblin Living is Easy by Agriculture Again by Oneohtrix Point Never Put The Shine On by CocoRosie The Light Is On You Return by Ben Levin Mercurial World by Magdalena Bay Burn It Down by Lovebirds Room 25 by Noname Wall Of Eyes by The Smile Forest Scenes by MIZU Looking back on the year, I like how I can remember a few of these albums from my first exposure to them in odd places - I heard Jessie Mae Hemphill playing in a Chipotle, and Rosie Lowe playing in my hair salon. It was apparently a big year for instrumental, electronic, minimalist music. The only ‘rock’ album that hooked me was Wall of Eyes, and the only pop album that made an impact was Imaginal Disk - the fuzzy outro of Image is something I keep re-listening to. MIZU has been on heavy rotation, too – the only of these artists that I learned about by seeing them live - she opened for Tim Hecker and I think made a lot of fans there with a really theatric and heavy performance. Buy some music! Listen to it repeatedly, and put it in your MP3 player!
I haven’t been posting much to the ‘main blog’ recently, but I have been keeping the micro blog updates humming. If you want more content in your RSS reader, you can subscribe to those posts, which are shorter, more scattered, and even less copyedited. It feels bad to have multiple “Recently” headings in the blog listing, so I’ll give them short subtitles from now on. Anyway, what’s up? October was all right. At Val Town, we spent a lot of time interviewing job candidates and improving the AI assistant, Townie. I also got some time to tackle long-awaited technical debt cleanups: I conquered the ‘big scary function’ that did the actual ‘running’ of val code. Cycling Outside of work, a lot of my October-related excitement was related to being outdoors. It’s been a great year for running – I just passed 600 miles so far and will probably hit 650 barring any injuries or life complications. But cycling is on the mind. We just rode the Old Croton Aqueduct trail from Ossining back to Brooklyn. It’s a fairly rough trail: plenty of rocks and terrain. Rideable on my ~32mm tires, but it’d be a lot easier with a mountain bike. We rode past some osage orange trees with their funky-looking and inedible fruit the size of large grapefruits. The trail passed right next to the Lyndhurst Estate, which was owned by a series of rich and powerful people, including Jay Gould, who is especially hated. Upstate, a lot of the attractions are like this, other big historic houses. The trail was mostly really beautiful, though the parts closer to Yonkers have a lot of trash. It’s much more popular with hikers than with cyclists. Even though bikes are explicitly permitted, locals seemed a little surprised by our presence, even though we were ringing bells, going slow, and making lots of space. It’s kind of funny to compare the general spatial awareness of people upstate to those in the city: we encountered a lot of people upstate who were standing in the center of the trail, completely zoned out and surprised by the presence of another human, and then on the way back were on city streets with four people within a few feet of us on foot, bikes, cars, scooters, all mostly aware and ready to silently negotiate how to move together through a shared space. I remarked that I think that when some people move out of the city because of the ‘inconvenience’, the inconvenience is people, and once you leave, you lose a certain ability to live around other people - from then on, you expect to have a suburban yard-sized perimeter around your personal space. Micro I wrote a lot on the microblog this month: about the Arc browser’s recent news that it’ll be abandoned, Reddit adopting Web Components, domain squatting, Python datascience tech, and Knip, a tool for finding dead code in TypeScript systems. Content I watched a bunch of films, which are on my Letterboxd, and the only new album on my rotation is Yasmin Williams’s Acadia: Acadia by Yasmin Williams This YouTube channel is showing all of the steps involved in doing a multi-day bikepacking trip through India. It’s a lot of fun: And that’s it for this month! I’ll write a full-fledged blog post one of these days.
Reading It is very easy to get ChatGPT to emit a series of words such as “I am happy to see you.” There are many things we don’t understand about how large language models work, but one thing we can be sure of is that ChatGPT is not happy to see you. Ted Chiang’s article about AI in the New Yorker started slow for me, and having read a lot of other articles from the same genre it hit some familiar points, but still it was compelling and a gift to read another piece by one of my favorite authors. I read a lot of articles about the Internet Archive lawsuit in September. The Verge had a good piece about it. I’m a longtime fan of the archive – who isn’t – but it’s hard to absorb the weight of the decision and the fact that, despite being the clear-cut villains, the publishers at least have a good argument. The threat of losing the archive would be a gigantic change in the whole shape of the internet. Exciting month for New Yorkers, obviously, with the mayor getting indicted. I’m feeling thankful for the New York media ecosystem: with Hell Gate and The City, we have really good local, independent journalism. It’s both deep - Hell Gate’s Table of Success is an incredible reference for Adams’s corrupt circle of friends - and punchy. Watching I guess I watched a lot of movies this month? The big hit was Death Becomes Her, which is an absolute classic - my favorite kind of film, ‘a romp.’ Beetlejuice was just okay, surprisingly. I’ve been doing a lot of daydreaming about cycling more. In the near future, I want to ride the Empire State Trail again, and the C&O, and the GAP, and more. I just want to get out on a bike. And I’ve been enjoying some smaller YouTube channels about riding. Dwayne Pedals is a good one: Tim Fitzwater has a good video about the Old Croton Aqueduct Trail. These sorts of videos are great: as the geospatial dorks say, “the map is not the territory.” That is especially true for hiking, biking, running, and all forms of non-vehicular transporation. A trail on a map can mean a lot of different things. A ‘bike lane’ on a map can be blissful or non-existent in real life. So I’ve long had the habit of cross-referencing run & bike plans with streetview. You can’t do streetview on bike trails usually, because Google sucks at making maps for non-drivers doesn’t have data there. Stay tuned for more bicycle content. It’s been a lifelong thing for me but I am getting much more serious about it, again. Had a really great ride this month - after biking through Long Island in August, we wanted to experience some good bicycle infrastructure, so the Shore Parkway and Jamaica Bay Greenway hit the spot. This photo is from Brooklyn! Shirley Chisholm State Park is a fresh new park, opened in 2019. You can bike through the park just by veering off of the Jamaica Bay Greenway, and easily get back on the Greenway afterward. Sure, it’s built on landfills, but after $235 million of remediation and $35 million of renovations, it’s a really nice spot. It was like we stumbled upon an oasis. Listening Pretty decent month for music, too! Son by Rosie Lowe & Duval Timothy I heard this at the place where I get my hair cut. A good sign. Cascade by Floating Points Great new electronic music - this has been powering my focus at work recently. I had thought incorrectly that Death From Above stopped playing music a while ago. Happy to learn that I was wrong and this album - Outrage! Is Now exists. Elsewhere In the micro blog, I wrote about React, syncing light and dark mode in Neovim, Crypto’s missing plateau of productivity and NYC cycling paths.
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I occasionally receive emails asking me to look at the writer's new language/library/tool. Sometimes it's in an area I know well, like formal methods. Other times, I'm a complete stranger to the field. Regardless, I'm generally happy to check it out. When starting out, this is the biggest question I'm looking to answer: What does this technology make easy that's normally hard? What justifies me learning and migrating to a new thing as opposed to fighting through my problems with the tools I already know? The new thing has to have some sort of value proposition, which could be something like "better performance" or "more secure". The most universal value and the most direct to show is "takes less time and mental effort to do something". I can't accurately judge two benchmarks, but I can see two demos or code samples and compare which one feels easier to me. Examples Functional programming What drew me originally to functional programming was higher order functions. # Without HOFs out = [] for x in input { if test(x) { out.append(x) } } # With HOFs filter(test, input) We can also compare the easiness of various tasks between examples within the same paradigm. If I know FP via Clojure, what could be appealing about Haskell or F#? For one, null safety is a lot easier when I've got option types. Array Programming Array programming languages like APL or J make certain classes of computation easier. For example, finding all of the indices where two arrays differ. Here it is in Python: x = [1, 4, 2, 3, 4, 1, 0, 0, 0, 4] y = [2, 3, 1, 1, 2, 3, 2, 0, 2, 4] >>> [i for i, (a, b) in enumerate(zip(x, y)) if a == b] [7, 9] And here it is in J: x =: 1 4 2 3 4 1 0 0 0 4 y =: 2 3 1 1 2 3 2 0 2 4 I. x = y 7 9 Not every tool is meant for every programmer, because you might not have any of the problems a tool makes easier. What comes up more often for you: filtering a list or finding all the indices where two lists differ? Statistically speaking, functional programming is more useful to you than array programming. But I have this problem enough to justify learning array programming. LLMs I think a lot of the appeal of LLMs is they make a lot of specialist tasks easy for nonspecialists. One thing I recently did was convert some rst list tables to csv tables. Normally I'd have to do write some tricky parsing and serialization code to automatically convert between the two. With LLMs, it's just Convert the following rst list-table into a csv-table: [table] "Easy" can trump "correct" as a value. The LLM might get some translations wrong, but it's so convenient I'd rather manually review all the translations for errors than write specialized script that is correct 100% of the time. Let's not take this too far A college friend once claimed that he cracked the secret of human behavior: humans do whatever makes them happiest. "What about the martyr who dies for their beliefs?" "Well, in their last second of life they get REALLY happy." We can do the same here, fitting every value proposition into the frame of "easy". CUDA makes it easier to do matrix multiplication. Rust makes it easier to write low-level code without memory bugs. TLA+ makes it easier to find errors in your design. Monads make it easier to sequence computations in a lazy environment. Making everything about "easy" obscures other reason for adopting new things. That whole "simple vs easy" thing Sometimes people think that "simple" is better than "easy", because "simple" is objective and "easy" is subjective. This comes from the famous talk Simple Made Easy. I'm not sure I agree that simple is better or more objective: the speaker claims that polymorphism and typeclasses are "simpler" than conditionals, and I doubt everybody would agree with that. The problem is that "simple" is used to mean both "not complicated" and "not complex". And everybody agrees that "complicated" and "complex" are different, even if they can't agree what the difference is. This idea should probably expanded be expanded into its own newsletter. It's also a lot harder to pitch a technology on being "simpler". Simplicity by itself doesn't make a tool better equipped to solve problems. Simplicity can unlock other benefits, like compositionality or tractability, that provide the actual value. And often that value is in the form of "makes some tasks easier".
The breakthroughs of the web are often compared to the printing press. But could the former exist without the latter? The post Would the internet exist today if the printing press didn’t come before it? appeared first on The History of the Web.
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