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Standard Intelligence: Training General Intelligence in Pixel Space

Sequoia by Sonya Huang 30 April 2026, 00:00 ● Covered by 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.

Why it matters

The future of useful agents may begin not with text, but with pixels.

Read more related to this at Sequoia

Standard Intelligence FDM-1 11-million-hour computer action dataset

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TLDRocket 4 September 2026

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