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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