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General Intuition | The frontier research lab dedicated to games—and the real world.

generalintuition.com · 358 words · saved by 2 readers

We build foundation models for environments that require deep spatial and temporal reasoning.

Machine intelligence, trained primarily on the archive of human language, inherits both its brilliance and limitations: planar abstraction without embodiment, prediction without participation. This compromise was initially pragmatic. Rather than parse the messiness of reality, models learned from its readily available, albeit reductive effigies: descriptions, depictions, and recordings. But truly intelligent machines must acquire the capacity to perceive, anticipate, and improvise within the unfolding dynamics of reality. From the relationships of intent, action, and consequence, to the…

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