AI hype vs. reality: Marcus argues generative AI isn’t close to AGI

Gary Marcus argues that generative AI has been wildly overstated and remains unreliable, often hallucinating and making errors; while it has some practical uses (for example, coding), it falls far short of expectations and could harm education, the information ecosystem, and the economy, a critique grounded in Washington Post reporting and his own analysis. The piece calls for scrutiny of hype surrounding AI and caution about its broader societal impact.