Artificial Intelligence Masterclass
Un podcast de AI Masterclass - Les lundis
370 Épisodes
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The robots are coming! How fast? How much? What impact? - AI Masterclass
Publié: 09/04/2025 -
New Paradigms every 3-6 months: Slow Takeoff, Short Cycles: The March to AGI - AI Masterclass
Publié: 09/04/2025 -
When will you feel AI personally? (Not "feel the AGI" exactly...)
Publié: 09/04/2025 -
"Predictions about Artificial Super Intelligence (ASI)" - David Shapiro
Publié: 09/04/2025 -
LangChain for LLMs is... basically just an Ansible playbook
Publié: 09/04/2025 -
A call to action for OpenAI and others: We need to research Full Autonomy RIGHT NOW - Reduce X-Risk
Publié: 08/04/2025 -
Massive LLM improvement! Meta AI LM-Infinite - AI MASTERCLASS
Publié: 08/04/2025 -
How I stay up to date on the latest AI science news
Publié: 08/04/2025 -
"I'm an accelerationist" - AI Masterclass
Publié: 07/04/2025 -
I was not impressed by the ARC-AGI challenge (not actually a test for AGI)
Publié: 06/04/2025 -
Microsoft LongNet: One BILLION Tokens LLM + OpenAI SuperAlignment [SINGULARITY APPROACHES] - AI Masterclass
Publié: 06/04/2025 -
How I'd become a TRILLIONAIRE with AI and Robots | AI Matserclass
Publié: 06/04/2025 -
Why P(WIN) is so HIGH - [70%] (Aka we're probably gonna be fine... hopefully)
Publié: 05/04/2025 -
Closed Door Senate Meeting with Tech Execs: AI Insights Forum - AI Masterclass
Publié: 04/04/2025 -
How to Hire & Train a CAIO - Chief AI Officers - What are their metrics for success? - AI Masterclass
Publié: 04/04/2025 -
AGI Revolution: How Businesses, Governments, and Individuals can Prepare
Publié: 04/04/2025 -
OpenAI is Imploding - What does this mean for the future of AGI?
Publié: 04/04/2025 -
Will we get UBI before AGI? - AI Masterclass
Publié: 04/04/2025 -
Max Tegmark: Language Models Understand Time and Space
Publié: 04/04/2025 -
How OpenAI Solved the Data Wall Problem - Synthesizing Infinite Provable Data for Reasoning 🍓 - AI Masterclass
Publié: 02/04/2025
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.
