In the theatrical thriller 'Data,' a Stanford cognitive science graduate dramatizes how tech titans use slick, grandiose language to justify potentially totalitarian AI projects.
About Stanford Filed #ai #culture #data #entertainment #politics Related Rethinking the Data Moat The piece contends that AI progress is driven chiefly by algorithmic advances and smarter data curation, not merely more data or human expert labels, citing Greenblatt and Bi.
also on #data , #ai alpr.watch | Hacker News alpr.watch tracks and visualizes mentions of Automatic License Plate Readers (ALPRs) in local government meetings to expose surveillance expansion.
also on #data 9 theses on AI | Sarthak Munshi AI progress is constrained by long-task reliability, labor reallocation, cost inefficiencies of general APIs, the declining value of raw coding skills, inadequate benchmark testing, the limits of formal verification without strong specs, memory-bound local hardware advantages, the shift from data to environment-driven training, and the rising competitiveness of US open-weight models.
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Opinion | He Studied Cognitive Science at Stanford. Then He Wrote a Startling Play About A.I. Authoritarianism. - The New York Times