Situation Perception: A Necessary Primitive to Artificial Superintelligence

Arxiv paper proposes 'situation perception' as a necessary primitive for ASI

A preprint argues that current LLMs are fundamentally incomplete as paths to artificial superintelligence because they lack 'situation perception': the ability to construct, revise, and act within internal simulations of possible worlds across latent time. The authors identify three required components — abstract prediction, long-term compressed memory, and active learning guided by objectives — and propose tests for measuring progress. The paper frames this as a missing cognitive primitive analogous to developmental milestones in human infants.