Interview
summary
Argues investors should back narrow AI that uses proprietary data to solve industry-specific problems, not chase general intelligence; credits recent gains to cheaper compute plus lots more data and mature algorithms, with concrete strengths in vision and conversational NLP. Predicts a shift from automation to autonomy within five to ten years and flags fintech and logistics as high-opportunity sectors while noting healthcare and education lag because of regulation; emphasizes community building and diverse teams to manage job displacement and design inclusive futures.
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