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.TIMECODES00:00 Micheal Lanham’s career journey and AI agent books05:45 Publishing journey: AR, Pokémon Go, sound design, and reinforcement learning10:00 Evolution of AI: evolutionary algorithms, deep learning, and agents13:33 Evolutionary algorithms in prompt engineering and LLMs18:13 AI agent books second edition and practical applications20:57 AI agent workflows: minimalism, task breakdown, and collaboration26:25 Collaboration and orchestration among AI agents31:24 Tools and reasoning servers for agent communication35:17 AI agents in game development and generative AI impact38:57 Future of generative AI in gaming and immersive content41:42 Coding agents, new LLMs, and local deployment45:40 AI model trends and data scientist career advice53:36 Cognitive testing, evaluation, and monitoring in AI58:50 Publishing details and closing remarksConnect with MichealLinkedin - https://www.linkedin.com/in/micheal-lanham-189693123/Connect with DataTalks.Club:Join the community - https://datatalks.club/slack.htmlSubscribe to our Google calendar to have all our events in your calendar - https://calendar.google.com/calendar/...Check other upcoming events - https://lu.ma/dtc-eventsGitHub: https://github.com/DataTalksClubLinkedIn -   / datatalks-club   Twitter -   / datatalksclub   Website - https://datatalks.club/