Large language models like ChatGPT are transforming the way we interact with AI. Peter explains its inner workings, how it understands language through probabilities, and its applications across various domains. Shintaro brings relatable scenarios, exploring AI's practical uses, its limitations, and ethical concerns like bias and transparency. They also touch on the future of AI, from prompt engineering to potential advancements like agentic AI and multitask robotics. Whether you're curious about how ChatGPT works or how it might shape the future, this conversation offers engaging insights and practical takeaways.

(00:00:00) Introduction
(00:00:45) What Is ChatGPT?
(00:02:19) Language Models and Probabilities Explained
(00:05:28) Making AI Understandable for Everyone
(00:06:43) ChatGPT's Limitations and Real-World Use Cases
(00:13:17) Ethical Concerns and AI Bias
(00:17:36) What Is Prompt Engineering?
(00:20:58) AI in Specialized Applications
(00:25:21) The Turing Test and AI Sentience
(00:30:31) Full Self-Driving and AI in Robotics
(00:44:33) What’s After ChatGPT?
(00:50:50) Closing Thoughts

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