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Computer Vision

111 summarised stories about Computer Vision, each linking back to the original source. Browse all topics →

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Thursday, 30 April 2026

Standard Intelligence: Training General Intelligence in Pixel Space

Sequoia 5 months ago 24 ● 2 sources

Standard Intelligence, founded by Galen Mead and Devansh Pandey, is training a general computer agent called FDM-1 by learning directly from raw video of computer use rather than text or language models. The team created an 11-million-hour computer action dataset and a video encoder 50 times more token-efficient than competitors, allowing nearly two hours of video to fit in a 1-million-token context window. The approach aims to build general agents that can perform diverse tasks like CAD modeling, driving, and software debugging by scaling video pre-training rather than expanding language model capabilities.

Standard Intelligence: Training General Intelligence in Pixel Space

Sequoia 5 months ago 30 ● 2 sources

Standard Intelligence is pursuing a general computer agent by pre-training a model directly on raw video of computer use rather than predicting text tokens. It reports an 11-million-hour computer action dataset and a video encoder about 50× more token-efficient, so nearly 2 hours of 30 FPS video fits into a 1-million-token context window. The approach changes agent training by learning next mouse movements, clicks, and keystrokes from pixels and aims to produce models like FDM-1 that can perform tasks after fine-tuning.

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