~/talk

We Thought the Digital World Would Be Easy to Simulate. Was it?

Talkat dotAI 2026 · on Thursday, 2026-09-17· [large-language-models, machine-learning]
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Argues that simulating the digital world is hard in practice but solvable by models that simulate language-form interfaces rather than pixels. Uses VLMs embodied with tools (screenshots, mouse/keyboard, browser APIs) trained on data collected from thousands of Docker containers and virtual machines and on software docs, video tutorials and crowdsourced workflows. Reports movement from ~20–30% to 80–90% success on 400 OSWorld tasks within a year, trains with supervised fine-tuning plus RL, and shows a 35B model matches frontier performance* while running a 3D CAD logo demo successfully.

AI-written summary · about

  1. 0:00Introduction
  2. 6:34Training VLMs for computer use
  3. 10:07Progress in computer use
  4. 12:36Challenges in simulation
  5. 17:30Training methods
  6. 19:56Specialized models
  7. 20:17Demo and closing
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