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Machine, Platform, Crowd

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Argues that automation reshapes work but does not yet eliminate jobs, producing net monthly job gains while hollowing the middle class and leaving many prime‑age men out of the workforce; describes a startup that builds applied ML products for Fortune 1000 clients; warns about biased decision systems citing ProPublica recidivism study and pushes for LIME interpretability and other methods to make deep‑learning black boxes editable; rejects fantasy singularity fears, critiques universal basic income as a cure, and predicts more wealth with risky distribution.

AI-written summary · about

  1. 0:00Introduction
  2. 1:02Race against the machines
  3. 4:41Women in tech
  4. 7:56Economic policy and AI
  5. 10:28Bias in algorithms
  6. 13:46Interpretable AI
  7. 16:11Future outlook
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