Machine Learning Times
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AGI Is Infeasible. Instead, Pursue Superhuman Adaptable Intelligence
  Originally published in Forbes On a recent episode of the...
Artifact-Driven Development: Making It Possible to Query Large Analytics and AI Projects
 A practical introduction to making complex project structure explicit...
Incoherent AGI Hype Spurs An Industrywide Pivot To Hybrid AI
  Originally published in Forbes Recently on The Dr. Data Show,...
The AI Paradox: More Humanlike Means Less Autonomous
  Originally published in Forbes The AI executives are at...
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10 years ago
Nine Bizarre and Surprising Predictive Insights from Data Science

  Data is the world’s most potent, flourishing unnatural resource. Accumulated in large part as the by-product of routine tasks, it is the unsalted, flavorless residue deposited en masse as organizations churn away. Surprise! This heap of refuse is inherently predictive. Thus begins a gold rush to dig up insightful gems. Does crime increase after a sporting event? Do online daters more consistently rated as attractive receive less interest? Do vegetarians miss fewer flights? Does your e-mail address reveal your intentions? Yes, yes, yes, and yes! We’ve entered the golden age of predictive discoveries. A frenzy of number

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