Data Skeptic

Un pódcast de Kyle Polich

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565 Episodo

  1. GraphText

    Publicado: 31/10/2023
  2. arXiv Publication Patterns

    Publicado: 23/10/2023
  3. Do LLMs Make Ethical Choices

    Publicado: 16/10/2023
  4. Emergent Deception in LLMs

    Publicado: 9/10/2023
  5. Agents with Theory of Mind Play Hanabi

    Publicado: 2/10/2023
  6. LLMs for Evil

    Publicado: 25/9/2023
  7. The Defeat of the Winograd Schema Challenge

    Publicado: 11/9/2023
  8. LLMs in Social Science

    Publicado: 4/9/2023
  9. LLMs in Music Composition

    Publicado: 28/8/2023
  10. Cuttlefish Model Tuning

    Publicado: 21/8/2023
  11. Which Professions Are Threatened by LLMs

    Publicado: 15/8/2023
  12. Why Prompting is Hard

    Publicado: 8/8/2023
  13. Automated Peer Review

    Publicado: 31/7/2023
  14. Prompt Refusal

    Publicado: 24/7/2023
  15. A Long Way Till AGI

    Publicado: 18/7/2023
  16. Brain Inspired AI

    Publicado: 11/7/2023
  17. Computable AGI

    Publicado: 3/7/2023
  18. AGI Can Be Safe

    Publicado: 26/6/2023
  19. AI Fails on Theory of Mind Tasks

    Publicado: 19/6/2023
  20. AI for Mathematics Education

    Publicado: 12/6/2023

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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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