Lessons from Two Decades of AI - Micheal Lanham

In this episode, we talk with Michael Lanham, an AI and software innovator with over two decades of experience spanning game development, fintech, oil and gas, and agricultural tech. Michael shares his journey from building neural network-based games and evolutionary algorithms to writing influential books on AI agents and deep learning. He offers insights into the evolving AI landscape, practical uses of AI agents, and the future of generative AI in gaming and beyond.

TIMECODES

00:00 Micheal Lanham’s career journey and AI agent books

05:45 Publishing journey: AR, Pokémon Go, sound design, and reinforcement learning

10:00 Evolution of AI: evolutionary algorithms, deep learning, and agents

13:33 Evolutionary algorithms in prompt engineering and LLMs

18:13 AI agent books second edition and practical applications

20:57 AI agent workflows: minimalism, task breakdown, and collaboration

26:25 Collaboration and orchestration among AI agents

31:24 Tools and reasoning servers for agent communication

35:17 AI agents in game development and generative AI impact

38:57 Future of generative AI in gaming and immersive content

41:42 Coding agents, new LLMs, and local deployment

45:40 AI model trends and data scientist career advice

53:36 Cognitive testing, evaluation, and monitoring in AI

58:50 Publishing details and closing remarks

Connect with Micheal

• Linkedin - https://www.linkedin.com/in/micheal-lanham-189693123/

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