SOURCE-LINKED INTELLIGENCE
Generalist Open-World Temporal Perception
The next generation of artificial intelligence systems will likely be natively temporal and multimodal in both inputs and outputs: able to converse, perceive, predict, reason, and synthesize through a shared world representation. Realizing this requires a temporal perceptual substrate integrating sensory streams, language, and structured outputs within a multimodal world model. We seek a generalist open-world perceptual system that represents biological forms, natural physical structures, and artifacts, and their interactions, as a coherent, temporally persistent process. The model should infe
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-06T20:38:08.000Z
First collected: 2026-09-20T21:12:06.801Z. This is not the publication date.