Simon Willison

battledrones v14: Compass Rose, a four player map

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Simon Willison released Battledrones v14, adding a new map called "Compass Rose" that supports four-player online battles with rotational symmetry and up to four AI players. The update modifies the WebSocket multiplayer code to allow up to four human players via share links or QR codes, and introduces new purple and green robot teams alongside existing blue and red designs. A replay demonstrates a four-way AI battle using the "Goliath Armada" mutator, where each side starts with four giant Goliath mech units.

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Simon Willison
Oct 20

Battle Drones - a vibe coded RTS with audio-based multiplayer

Battle Drones is a browser‑based, Command & Conquer‑style real‑time strategy game that evolved through 12 major iterations, adding 3D models, varied terrain, random map generation, and both local and online multiplayer via audio synchronization. The game features nine buildings, seven ground vehicles, six aerial vehicles, and three infantry units, with fog of war, area‑effect weapons, and multiple play modes such as skirmish and last‑stand. The project showcases how AI‑assisted coding (primarily Claude) can accelerate game development and introduce innovative multiplayer mechanics using sound.

Simon Willison
Oct 27

Game Boy Color on My Conference Badge

At GitHub Universe, the conference badge features a full‑blown color screen computer. Steve Francia, working with Gemini, has ported a NES emulator and further added support for Game Boy and Game Boy Color, enabling games like The Legend of Zelda: Link's Awakening to run on the badge if a ROM is available. The badge also allows users to flip it upside down and use built‑in touch buttons as a controller.

Simon Willison
Oct 12

llm-meta-ai 0.2

The article announces the release of llm-meta-ai 0.2, featuring Meta AI’s new Muse Wonder and Muse Wonder Full models, described as the most capable models yet. These models are suggested to be Meta’s first Fable‑class models, with Artificial Analysis scoring Muse Wonder (Max) equivalent to GPT‑6.1 Sol. The author updated the llm-meta-ai plugin to support the new model and provides pelican‑drawing benchmarks across six reasoning levels, noting significant improvements over previous releases.

Simon Willison
Sep 2

llm-gemini 0.34

The release of llm-gemini 0.34 introduces the new Gemini 3.8‑Flash model, available in low, medium, and high thinking levels, and fixes an issue where async responses failed to record the resolved model version. The update also notes that Google has released Gemini 3.8‑Flash (and a restricted 3.8 Flash Cyber version) today, with example outputs (pelicans) demonstrating the model’s performance across the different thinking levels. The author highlights Gemini Flash’s speed, low cost, and competence in generating HTML, JavaScript, and Markdown‑SVG content, citing a 13‑second, 1.8‑cent example of an HTML output.