370 EpizĂłd

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

    Közzétéve: 2025. 04. 09.

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

    Közzétéve: 2025. 04. 09.

  3. When will you feel AI personally? (Not "feel the AGI" exactly...)

    Közzétéve: 2025. 04. 09.

  4. "Predictions about Artificial Super Intelligence (ASI)" - David Shapiro

    Közzétéve: 2025. 04. 09.

  5. LangChain for LLMs is... basically just an Ansible playbook

    Közzétéve: 2025. 04. 09.

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

    Közzétéve: 2025. 04. 08.

  7. Massive LLM improvement! Meta AI LM-Infinite - AI MASTERCLASS

    Közzétéve: 2025. 04. 08.

  8. How I stay up to date on the latest AI science news

    Közzétéve: 2025. 04. 08.

  9. "I'm an accelerationist" - AI Masterclass

    Közzétéve: 2025. 04. 07.

  10. I was not impressed by the ARC-AGI challenge (not actually a test for AGI)

    Közzétéve: 2025. 04. 06.

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

    Közzétéve: 2025. 04. 06.

  12. How I'd become a TRILLIONAIRE with AI and Robots | AI Matserclass

    Közzétéve: 2025. 04. 06.

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

    Közzétéve: 2025. 04. 05.

  14. Closed Door Senate Meeting with Tech Execs: AI Insights Forum - AI Masterclass

    Közzétéve: 2025. 04. 04.

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

    Közzétéve: 2025. 04. 04.

  16. AGI Revolution: How Businesses, Governments, and Individuals can Prepare

    Közzétéve: 2025. 04. 04.

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

    Közzétéve: 2025. 04. 04.

  18. Will we get UBI before AGI? - AI Masterclass

    Közzétéve: 2025. 04. 04.

  19. Max Tegmark: Language Models Understand Time and Space

    Közzétéve: 2025. 04. 04.

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

    Közzétéve: 2025. 04. 02.

17 / 19

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.

Visit the podcast's native language site