370 Avsnitt

  1. The robots are coming! How fast? How much? What impact? - AI Masterclass

    Publicerades: 2025-04-09
  2. New Paradigms every 3-6 months: Slow Takeoff, Short Cycles: The March to AGI - AI Masterclass

    Publicerades: 2025-04-09
  3. When will you feel AI personally? (Not "feel the AGI" exactly...)

    Publicerades: 2025-04-09
  4. "Predictions about Artificial Super Intelligence (ASI)" - David Shapiro

    Publicerades: 2025-04-09
  5. LangChain for LLMs is... basically just an Ansible playbook

    Publicerades: 2025-04-09
  6. A call to action for OpenAI and others: We need to research Full Autonomy RIGHT NOW - Reduce X-Risk

    Publicerades: 2025-04-08
  7. Massive LLM improvement! Meta AI LM-Infinite - AI MASTERCLASS

    Publicerades: 2025-04-08
  8. How I stay up to date on the latest AI science news

    Publicerades: 2025-04-08
  9. "I'm an accelerationist" - AI Masterclass

    Publicerades: 2025-04-07
  10. I was not impressed by the ARC-AGI challenge (not actually a test for AGI)

    Publicerades: 2025-04-06
  11. Microsoft LongNet: One BILLION Tokens LLM + OpenAI SuperAlignment [SINGULARITY APPROACHES] - AI Masterclass

    Publicerades: 2025-04-06
  12. How I'd become a TRILLIONAIRE with AI and Robots | AI Matserclass

    Publicerades: 2025-04-06
  13. Why P(WIN) is so HIGH - [70%] (Aka we're probably gonna be fine... hopefully)

    Publicerades: 2025-04-05
  14. Closed Door Senate Meeting with Tech Execs: AI Insights Forum - AI Masterclass

    Publicerades: 2025-04-04
  15. How to Hire & Train a CAIO - Chief AI Officers - What are their metrics for success? - AI Masterclass

    Publicerades: 2025-04-04
  16. AGI Revolution: How Businesses, Governments, and Individuals can Prepare

    Publicerades: 2025-04-04
  17. OpenAI is Imploding - What does this mean for the future of AGI?

    Publicerades: 2025-04-04
  18. Will we get UBI before AGI? - AI Masterclass

    Publicerades: 2025-04-04
  19. Max Tegmark: Language Models Understand Time and Space

    Publicerades: 2025-04-04
  20. How OpenAI Solved the Data Wall Problem - Synthesizing Infinite Provable Data for Reasoning 🍓 - AI Masterclass

    Publicerades: 2025-04-02

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Spreading awareness about the works of some of the leading educators in the AI revolution. "Helping humanity shepherd through this transition as we embrace the final invention of mankind: advanced artificial intelligence." David Shapiro aims to provide a pragmatic and optimistic view of the future. Core Ideas: Metamodernism: Narratives and emergence view of reality Postnihilism: The demand for meaning is false, there is only the Great Mystery Heuristic Imperatives: An ethical, moral, and decision framework. - Reduce suffering - Increase prosperity - Increase understanding Post-Labor Economics: Replace humans with machines (better, faster, cheaper, safer) mantra: EXPLORE: Delve into the unknown, driven by curiosity and a quest for discovery. Seek knowledge. ELUCIDATE: Make complex ideas clear, communicating them in an accessible and comprehensible manner. ENUMERATE: Ground insights in concrete data, providing measurable and quantitative evidence. ELABORATE: Add depth and detail to understanding, weaving comprehensive and nuanced explanations. DISCLAIMER: This is a community-driven show. This podcast may contain copyrighted material not owned by AI Masterclass. All copyrighted material in this podcast is believed to be within the bounds of educational purposes.

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