The Gradient: Perspectives on AI

Kevin Dorst: Against Irrationalist Narratives

7 snips
Jul 18, 2024
Kevin Dorst, Associate Professor at MIT, discusses subjective Bayesianism, polarization in politics, and pragmatic pressures in philosophy. Topics include limited resources in belief formation, hindsight bias, and symmetric properties of evidence. Exploring rationality, overconfidence, and deference in belief formation, the podcast also touches on AI learning from human bias and incorporating mathematical tools in philosophy.
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INSIGHT

Formal Models and Epistemology

  • Formal models, like those in physics, simplify reality but offer valuable insights.
  • Apply this to epistemology: theorems about rational agents are useful even if imprecise in real-world cases.
ANECDOTE

Dorst's Philosophical Journey

  • Kevin Dorst's philosophical journey began in ethics, then meta-ethics, exploring utilitarianism and error theory.
  • He initially defended error theory but found it difficult to argue for, leading him to question his confidence in it.
ADVICE

Test Your Hunches

  • Test your hunches by trying to convincingly argue for them, even if you don't fully believe them.
  • If you can't convince yourself, it's evidence the idea is less compelling than you thought.
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