Artificial Intelligence Masterclass
En podcast av AI Masterclass - Söndagar
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336 Avsnitt
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Pt 1: Let's build an autonomous agent swarm- AGENTS THAT BUILD AGENTS - OpenAI Agent Swarm
Publicerades: 2025-01-29 -
Reinforcement Learning with Heuristic Imperatives (RLHI) - Ep 02 - Synthesizing Actions
Publicerades: 2025-01-29 -
AI Experts Revise Predictions by 48 YEARS - We're in the endgame now!
Publicerades: 2025-01-29 -
The Generative AI Revolution: Why the Data Flywheel is Your Business's Secret Weapon
Publicerades: 2025-01-29 -
AGI is Almost Here! What comes next? What's left to do? How do we adapt and prepare?
Publicerades: 2025-01-29 -
What is Heavy Silver? [Historical Archive 001] - Official Heavy Silver Trailer #1
Publicerades: 2025-01-29 -
Billions of Agents―A sneak preview of what the future will look like - AI Masterclass
Publicerades: 2025-01-29 -
"Maximizing Agent Swarm Effectiveness with Signal-to-Noise Optimization Strategies" - AI MASTERCLASS
Publicerades: 2025-01-29 -
OpenAI Assistant Creation: FIRST LOOK! Let's start making AGENT SWARMS! Tutorial Walkthrough
Publicerades: 2025-01-29 -
First Thoughts On OpenAI Strawberry Leak: Q* is back??? ― AI Masterclass
Publicerades: 2025-01-29 -
Predictions for the next 5 years of AI - NVIDIA, OpenAI, ASI, Project Stargate - 2024 to 2029
Publicerades: 2025-01-29 -
Predictions for the next 5 years of AI - NVIDIA, OpenAI, ASI, Project Stargate - 2024 to 2029
Publicerades: 2025-01-29 -
"OpenAI is Falling Apart: Implications for AGI’s Future..." - AI MASTERCLASS
Publicerades: 2025-01-28 -
Pro's Finetuning Guide for GPT and LLMs
Publicerades: 2025-01-28 -
AI X-Risk: Connor Leahy v. Beff Jezos Debate Recap + Terminal Race Condition Redux and Update
Publicerades: 2025-01-28 -
AGI is Almost Here! What comes next? What's left to do? How do we adapt and prepare? - AI Masterclass
Publicerades: 2025-01-28 -
"Meet AutoMuse ChatGPT: Pioneering Temporal Hierarchical Memories for AGI and ACE Systems" - AI MASTERCLASS
Publicerades: 2025-01-28 -
Automating Science with GPT-4 - attempting (and failing) to perform autonomous literature review
Publicerades: 2025-01-28 -
How a network of billionaires influences AI policy: Vested Interests - AI Masterclass
Publicerades: 2025-01-28 -
Hierarchical Autonomous Agent Swarm Pt 2: Tool Makers and Agent Builders (oh my!) - AI MASTERCLASS
Publicerades: 2025-01-28
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.
