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

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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.

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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 Cars
1:33:20 The S-Curve of LLM Development
1:44:24 Unlocking Productivity with Personal Data Integration




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