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view articleA city-building game about trying to get housing built in San Francisco. By Oliver Sin.
Released for Hangul Day 2026: how I collected 4,500 lines of handwriting with a smartpen, adapted Alex Graves' architecture to Hangul, and published the dataset.
The story of a 2D vehicle physics prototype created in 1996 and later remastered as Motion Lab.
Twenty years ago I got a reward check from Donald Knuth.
A handful of people I follow and know about have announced their recent departure. Not from a job (although plenty of that going around), but from social media, AI usage, or in more extreme cases the Internet entirely.
A few days ago I wrote about Rewind VM, a deterministic VM where every run of a Nix build is a pure function of its inputs, thread schedule included! I have been using it to find, reproduce and solve numerous race conditions in Nix builds, but it’s been making me feel a little crazy. What is this superpower, and why is nobody else using it? The tool has quickly grown a source panel, stack frames, bookmarks, a “Compare” tab, a lot more gdb support, thread lanes, which show who held the CPU at every step, and “Check from here”, which…
How celld controls time and execution order to find bugs with deterministic simulation testing, explained through interactive diagrams, pseudocode, and a race it discovered.
How Cockroach Labs built MOLT Sinai, an AI coding “teaching hospital” that shipped IBM Db2 migration support in under two days.
Price hikes have made DDR5 RAM so expensive that chipmakers are launching new CPUs for older platforms running on DDR4 RAM.
Contribute to othermod/PSPi-Version-6 development by creating an account on GitHub.
Your personal AI agent in your own Cloudflare account. Chat, memory, tasks, notes and scheduled reminders, deployed with one command: npx create-talorys@latest. Free-tier friendly, single-user, no telemetry. - rociiu/talorys
A keyboard-first diff viewer with LSP support and GitHub integration. - moritzwilksch/diffle
A new direction for computing: projecting information into the real world to augment it, with a device that combines a projector and computer vision in the shape of a large lightbulb.
Recent advances in artificial intelligence (AI) have largely been driven by large language models, deep neural networks that operate over discrete units called tokens. To represent text, most large language models use words or word fragments as the tokens, known as subword tokenization1. Subword tokenization obscures fine-grained information, which is problematic, especially for scientific data—such as computer code or biological sequences—where meaning depends on the individual characters or bytes2. Models that instead operate directly on the byte encoding of text avoid these limitations, but until now they have lagged behind subword-based models in performance. Here we introduce a general method for creating byte-level large language mode