Data Skeptic

En podkast av Kyle Polich

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549 Episoder

  1. Computable AGI

    Publisert: 3.7.2023
  2. AGI Can Be Safe

    Publisert: 26.6.2023
  3. AI Fails on Theory of Mind Tasks

    Publisert: 19.6.2023
  4. AI for Mathematics Education

    Publisert: 12.6.2023
  5. Evaluating Jokes with LLMs

    Publisert: 6.6.2023
  6. Why Machines Will Never Rule the World

    Publisert: 29.5.2023
  7. A Psychopathological Approach to Safety in AGI

    Publisert: 23.5.2023
  8. The NLP Community Metasurvey

    Publisert: 15.5.2023
  9. Skeptical Survey Interpretation

    Publisert: 10.5.2023
  10. The Gallup Poll

    Publisert: 1.5.2023
  11. Inclusive Study Group Formation at Scale

    Publisert: 25.4.2023
  12. The PhilPapers Survey

    Publisert: 21.4.2023
  13. Non-Response Bias

    Publisert: 10.4.2023
  14. Measuring Trust in Robots with Likert Scales

    Publisert: 3.4.2023
  15. CAREER Prediction

    Publisert: 27.3.2023
  16. The Panel Study of Income Dynamics

    Publisert: 21.3.2023
  17. Survey Design Working Session

    Publisert: 14.3.2023
  18. Bot Detection and Dyadic Surveys

    Publisert: 6.3.2023
  19. Reproducible ESP Testing

    Publisert: 20.2.2023
  20. A Survey of Data Science Methodologies

    Publisert: 13.2.2023

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The Data Skeptic Podcast features interviews and discussion of topics related to data science, statistics, machine learning, artificial intelligence and the like, all from the perspective of applying critical thinking and the scientific method to evaluate the veracity of claims and efficacy of approaches.

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