AINewsnow

Talus: a 23M-parameter diffusion model for game terrain, evaluated against a real-vs-real noise floor, running in the browser on WebGPU [P]

Talus generates 64x64 heightmaps (4 km, up to 1,200 m) conditioned on a terrain type and any subset of five measured properties: mean elevation, relief, mean slope, water fraction and spectral slope. I trained it from scratch on one RTX 5060 (8 GB), about 4.5 hours in total across versions. The dat…

Read the full story at r/MachineLearning ↗

Timeline · 1 report

  1. 2026-10-09 19:52 · r/MachineLearning
    Talus: a 23M-parameter diffusion model for game terrain, evaluated against a real-vs-real noise floor, running in the browser on WebGPU [P]

More stories

  1. GPT-6 and Intelligent UI for everyone — OpenAI News
  2. Introducing Claude Haiku 5.5 on AWS — AWS Machine Learning Blog
  3. OpenAI Decisions API now available on AI Gateway — Vercel Blog
  4. Anthropic launches free AI security scans for open-source projects — The Verge AI
  5. NVIDIA, Microsoft Kick Off a New Beginning for Windows PCs With RTX Spark and AI Agents — NVIDIA Blog
  6. Introducing Playground: Create and play custom games — Google AI Blog
  7. Anthropic bans ‘abusive or cruel behavior’ toward Claude — The Verge AI
  8. Philadelphia police say Anthropic AI submitted a "false homicide tip" — CBS News Technology

Get the daily brief of stories like this at 6:30 every morning →