AI still can't beat humans at reading social cues

AI models have progressed rapidly in recent years and can already outperform humans in various tasks, from generating basic code to dominating games like chess and Go. But despite massive computing power and billions of dollars in investor funding, these advanced models still can't hold up to humans when it comes to truly understanding how real people interact with one another in the world. In other words, AI still fundamentally struggles at "reading the room." That's the claim made in a new paper by researchers from Johns Hopkins University. In the study, researchers asked a group of human volunteers to watch three-second video clips and rate the various ways individuals in those videos were interacting with one another.