April 26, 2025 JOIN OUR DISCORD CHANNEL https://discord.gg/4uwxk6TN6r
Support us at: buymeacoffee.com/techpodcast
LINKS
https://amzn.to/4jqFBAF
https://amzn.to/4jqFBAF
Explore the groundbreaking advancements in Artificial Intelligence as we dive into AI’s next big leap: learning through experience. 🌌 Join tech experts Jim Love, Marcel Gier, and John Pinard as they unravel the latest AI developments, including the pivotal paper, “Welcome to the Era of Experience,” by AI pioneers David Silver and Richard Sutton. Discover how experiential learning is reshaping AI’s potential to not only match but surpass human intelligence.
In this episode, we discuss the rise of autonomous AI coworkers, transformative reinforcement learning techniques, and the future of agentic systems in the workplace. Learn how robots are being trained through YouTube videos, explore the ethical challenges surrounding AI, and uncover strategies for navigating the transition into a world where AI and humans collaborate seamlessly.
Stay ahead of the curve on critical tech trends and pressing cybersecurity challenges as we highlight the evolving role of AI in industries, potential vulnerabilities, and its impact on global business and society. Tune in for valuable insights from industry leaders and prepare for the transformative future of Artificial Intelligence.
#aiengineerroadmap #aiengineer #datascience #machinelearning #chatgpt
CHAPTERS:
00:00 – Intro
01:17 – AI Paper Revolution
02:28 – Current AI Models Overview
11:22 – Outro
11:51 – Reinforcement Learning Explained
15:24 – AlphaGo Breakthrough
17:04 – AlphaZero Innovations
21:50 – Age of Experience in AI
23:28 – The Bitter Lesson in AI
25:40 – Experiential Learning Insights
27:57 – Guardrails in AI Limitations
32:08 – Asimov’s Laws of Robotics
32:30 – Addressing Homelessness
36:07 – The Importance of Humility
39:50 – Dolphins and Intelligence
44:10 – Job Losses Due to AI
51:56 – The Role of Greed in Technology
55:06 – Book Recommendation: The Dawn of Everything
55:55 – Planning for Transition Period
01:00:24 – How Machines Learn: Next Steps
01:04:34 – Useful Links
01:05:57 – Final Thoughts
01:11:09 – Outro
