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Twenty years ago I got a reward check from Donald Knuth.
A city-building game about trying to get housing built in San Francisco. By Oliver Sin.
The story of a 2D vehicle physics prototype created in 1996 and later remastered as Motion Lab.
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…
During the last 3 months, I spent some of my time and tokens decompiling a popular first-person shooter. The goal was not to reach a simple proof-of-concept state. Instead, we really wanted an accurate, stable and feature-complete recreation of the game. The avid reader of my blog might have noticed that I had previously written two posts that have since been removed. Everyone else might now be wondering which game I am talking about. To both of you I can only say that corporate America was here to ruin our fun.
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.
Justin Cormack, who worked on MirageOS back in the day, called me at the pub to talk about why unikernels are coming back. The friction that made them hard is gone, the operating system is design debt, and if you care about security you should seriously consider them.
New usage policy cracks down on cruelty to chatbot, alongside slightly more pressing matters of weapons development, surveillance, and election interference
How Cockroach Labs built MOLT Sinai, an AI coding “teaching hospital” that shipped IBM Db2 migration support in under two days.
How I got many of my childhood games running again after fighting with old Copy-Protection mechanisms
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
The company has stripped an entry to its Small World In Motion competition of its first place prize.
The Agentic-Native Operating System. Contribute to vahmoh25/Veda development by creating an account on GitHub.
A keyboard-first diff viewer with LSP support and GitHub integration. - moritzwilksch/diffle
DuckDB 2.0 alpha vs 1.5.5 on one laptop: recursive CTEs up to 90x, VARIANT 6x faster than JSON text, async I/O 2.4x on S3. What changes, and how to model data to get the speedup.
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