AI Reality VS Speculation with Google Machine Learning Engineer Jiquan Ngiam [Podcast #156]

On this week's episode of the podcast, freeCodeCamp founder Quincy Larson interviews Jiquan Ngiam. He's a former Google Brain engineer who's building tools to make AI useful for everyone – not just developers. We talk about the power of AI and it's practical capabilities, and separate those from a lot of the hype surrounding the AI space. Support for this podcast comes from a grant from Wix Studio. Wix Studio provides developers tools to rapidly build websites with everything out-of-the-box, then extend, replace, and break boundaries with code. Learn more at wixstudio.com. Support also comes from the 11,113 kind folks who support freeCodeCamp through a monthly donation. Join these kind folks and help our mission by going to https://www.freecodecamp.org/donate We talk about: - How AI agents work - Where AI is going and its limitations - How non-developers can leverage AI - And how developers can REALLY leverage AI Links we talk about during our conversation: - Jiquan's company, Lutra AI: https://lutra.ai/ - Jiquan's article on generative agentic interfaces for working with large spreadsheets: https://blog.lutra.ai/generative-interfaces-for-ai-agents - Jiquan's article on OODA loops for AI Agents: https://blog.lutra.ai/ooda-loops-for-ai-agents - A paper Jiquan mentions, Executable Code Actions Elicit Better LLM Agents: https://arxiv.org/abs/2402.01030 Chapters 0:00:00 Introduction to AI and Machine Learning 0:10:07 Transformers and Their Impact on AI 0:20:06 Understanding AI Training and Post-Training Processes 0:28:51 Harnessing Multimodal AI for Enhanced Communication 0:35:33 Lutra: Empowering Non-Developers with AI 0:41:58 OODA: The AI Decision-Making Framework 0:51:10 Targeted Outreach: AI in Sales and Marketing 0:56:32 Education and Reasoning: Shifting Paradigms 1:03:36 The Future of AI and Software Design 1:14:05 The Evolution of AI Task Delegation 1:20:14 The Potential of AI in Real-World Applications 1:26:39 Navigating the Future of Self-Driving Car