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how did i achieve almost perfect visual parsing, without spending billions of dollars training a weak AI model like Google OmniParser (pathetic tbh, skill issue) — combining on-the-fly annotations of interactable elements based on available browser data, element-based visual recognition using VLMs, and OCR to extract text from unparseable images (which is already trivial). additionally, all agents have root access to their Linux containers (Podman, definitely not Docker!). this opens the door to potentially adding X11 resource reading for on-screen objects in the future.
