Blogmarks
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graphql-voyager. Neat tool for producing an interactive graph visualization of any GraphQL API. Click “Change schema” and then “Introspection” and it will give you a GraphQL query you can run against your own API—copy and paste back the JSON results and the visualizer will show you how your API fits together. I tested this against a datasette-graphql instance and it worked exactly as described.
babelmark3 (via) I found this tool today while investigating an bug in Datasette’s datasette-render-markdown plugin: it lets you run a fragment of Markdown through dozens of different Markdown libraries across multiple different languages and compare the results. Under the hood it works with a registry of API URL endpoints for different implementations, most of which are encrypted in the configuration file on GitHub because they are only intended to be used by this comparison tool.
Guppe Groups. This is a really neat mechanism for helping build topic-oriented communities on Mastodon: follow @any-group-name@a.gup.pe to join (or create) a group, then that account will re-broadcast any messages from people in that group who mention the group in their message.
I found it via the histodons group. I was pondering how something like this might work this recently, so it’s great to see someone has built it already.
Python Sandbox in Web Assembly (via) Jim Kring responded to my questions on Mastodon about running Python in a WASM sandbox by building this repo, which demonstrates using wasmer-python to run a build of Python 3.6 compiled to WebAssembly, complete with protected access to a sandbox directory.
Jortage Communal Cloud. An interesting pattern that’s emerging in the Mastodon / Fediverse community: Jortage is “a communal project providing object storage and hosting”. Each Mastodon server needs to host copies of files—not just for their users, but files that have been imported into the instance because they were posted by other people followed by that instance’s users. Jortage lets multiple instances share the same objects, reducing costs and making things more efficient. I like the idea that multiple projects like this can co-exist, improving the efficiency of the overall network without introducing single centralized services.
Wildebeest (via) New project from Cloudflare, first quietly unveiled three weeks ago: “Wildebeest is an ActivityPub and Mastodon-compatible server”. It’s built using a flurry of Cloudflare-specific technology, including Workers, Pages and their SQLite-based D1 database.
Inside the Globus INK: a mechanical navigation computer for Soviet spaceflight (via) Absolutely beautiful piece of Soviet spacecraft engineering, explained in detail by Ken Shirriff.
The Page With No Code
(via)
A fun demo by Dan Q, who created a web page with no HTML at all - but in Firefox it still renders content, thanks to a data URI base64 encoded stylesheet served in a link: header that uses html::before, html::after, body::before and body::after with content: properties to serve the content. It even has a background image, encoded as a base64 SVG nested inside another data URI.
OpenAI Cookbook: Techniques to improve reliability (via) “Let’s think step by step” is a notoriously successful way of getting large language models to solve problems, but it turns out that’s just the tip of the iceberg: this article includes a wealth of additional examples and techniques that can be used to trick GPT-3 into being a whole lot more effective.
datasette-granian (via) Granian is a new Python web server—similar to Gunicorn—written in Rust. I built a small plugin that adds a “datasette granian” command starting a Granian server that serves Datasette’s ASGI application, using the same pattern as my existing datasette-gunicorn plugin.
Hctree Design Documentation. More detailed information on the design of the new Hctree SQLite branch.
Hctree: an experimental high-concurrency database backend for SQLite (via) Really interesting new research branch from the core SQLite team. “Hctree uses optimistic row-level locking and is designed to support dozens of concurrent writers running at full-speed”—with very impressive benchmarks supporting that claim. Also two bonuses: it has a replication mechanism based on the existing SQLite sessions extension, and it bumps up the maximum size of a SQLite database from 16TiB to 1EiB (roughly one million TiB).
Datasette is my data hammer (via) Jeremia Kimelman—a data journalist at CalMatters in Sacramento—enthuses about how he uses Datasette as his default hammer for all kinds of data projects—in particular how much he appreciates Datasette’s focus on URLs. So nice to see this!
Igalia: the Open Source Powerhouse You’ve Never Heard of (via) An in-depth article about Igalia from July 2022. I had no idea how much stuff they had worked on: arrow functions, generators, async/await, MathML, CSS Grid and a whole bunch more.
Servo to Advance in 2023 (via) This is excellent news: Servo, the browser-in-Rust project started by Mozilla in 2012 that produced the Rust programming language, is getting re-activated with four new full-time developers provided by Igalia.
Igalia are a fascinating organization - I hadn't realized quite how influential they've been until I read their Wikipedia page just now
They've been around since 2001, and "in 2019 they were the #2 committers to both the WebKit and Chromium codebases and in the top 10 contributors to Gecko/Servo" - including implementing and maintaining CSS Grid Layout!
How to simulate a broken database connection for testing in Django (via) Neil Kakkar explores the options using unittest.patch() and then settles on a neater pattern using “with connection.execute_wrapper(QueryTimeoutWrapper()):” to simulate the exact exception he needs to test against.
Introducing sqlite-xsv: The Fastest CSV Parser for SQLite. Alex Garcia continues to push the boundaries of SQLite extensions. This new extension in Rust wraps the lightning fast Rust csv crate and provides a new csv_reader() virtual table that can handle regular, gzipped and zstd compressed files.
Examples of floating point problems (via) I learned so much practical stuff from this post by Julia Evans. There are no 32-bit floating point numbers between 262144.0 and 262144.03125, which breaks code that attempts to keep incrementing by 0.01. I knew about the JavaScript tweet ID problem (JavaScript can’t handle numbers like 1612850010110005250) but I didn’t realize it affected jq as well. Lots more great examples in here.
Mapping Python to LLVM (via) Codon is a fascinating new entry in the “compile Python code to something else” world—this time targeting LLVM. Ariya Shajii describes in great detail how it pulls this off, including tricks such as transforming Python generators to LLVM coroutines. Codon doesn’t promise that all Python code will work—it’s best thought of as a Python-like language which can be used to create compiled modules which can then be imported back into regular Python projects.
Retiring Pinafore (via) Nolan Lawson built Pinafore, which became my default Mastodon client on both desktop and mobile over the past month. He thoughtfully explains why he’s ending his involvement in the project—and why, for trust reasons, he’s not planning on handing over the reigns to someone else. Pinafore is everything I want a good SPA to be—it loads fast, works offline and packs a whole lot of functionality into a tiny package. I’m sad to see Nolan’s involvement come to end—it’s a superb piece of software.
Petals (via) The challenge with large language models in the same scale ballpark as GPT-3 is that they’re large—really large. Far too big to run on a single machine at home. Petals is a fascinating attempt to address that problem: it works a little bit like BitTorrent, in that each user of Petal runs a subset of the overall language model on their machine and participates in a larger network to run inference across potentially hundreds of distributed GPUs. I tried it just now in Google Colab and it worked exactly as advertised, after downloading an 8GB subset of the 352GB BLOOM-176B model.
nanoGPT. “The simplest, fastest repository for training/finetuning medium-sized GPTs”—by Andrej Karpathy, in about 600 lines of Python.
In 2022, web3 went just great. Molly White’s essential roundup of 2022 in cryptocurrency. “$4.27 billion was stolen in various hacks and scams this year alone”.
Draw SVG rope using JavaScript (via) Delightful interactive tutorial by Stanko Tadić showing how to render an illustration of a rope using SVG, starting with a path. The way the tutorial is presented is outstanding.
Reverse Prompt Engineering for Fun and (no) Profit (via) swyx pulls off some impressive prompt leak attacks to reverse engineer the new AI features that just got added to Notion. He concludes that “Prompts are like clientside JavaScript. They are shipped as part of the product, but can be reverse engineered easily, and the meaningful security attack surface area is exactly the same.”
Detailed comment on HN describing how Second Life works these days. “There are about 27,500 live regions today, each with its own simulator program, always on even if nobody is using it. Each simulator program takes about one CPU and under 4GB on a server.”
Speech-to-text with Whisper: How I Use It & Why. Sumana Harihareswara’s in-depth review of Whisper, the shockingly effective open source text-to-speech transcription model release by OpenAI a few months ago. Includes an extremely thoughtful section considering the ethics of using this model—some of the most insightful short-form writing I’ve seen on AI model ethics generally.
Boring Python: code quality. James Bennett provides an opinionated guide to setting up Python tools for linting, code formatting and and other code quality concerns. Of particular interest to me is his section on packaging checks, which introduces a whole bunch of new-to-me tools that can help avoid accidentally shipping broken packages to PyPI.
Playing with ActivityPub (via) Tom MacWright describes his attempts to build the simplest possible ActivityPub publication—for a static site powered by Jekyll, where he used Netlify functions to handle incoming subscriptions (storing them in PlanetScale via their Deno API library) and wrote a script which loops through and notifies all of his subscriptions every time he publishes something new.
Data-driven performance optimization with Rust and Miri (via) Useful guide to some Rust performance optimization tools. Miri can be used to dump out a detailed JSON profile of a program which can then be opened and explored using the Chrome browser’s performance tool.