Even strong ‘long-context’ AI models fail badly when they must track objects and counts over long, messy video streams, so the next competitive edge will come from models that predict what comes next and selectively remember only surprising, important events, not from just buying more compute and bigger context windows. A team of researchers from
The post Why Spatial Supersensing is Emerging as the Core Capability for Multimodal AI Systems? appeared first on MarkTechPost. Read More
