What are the key takeaways from “AI 要跨越盧比孔河了嗎？自我成長的 AI 離我們多遠 (下集)” on Hung-yi Lee?

What is this episode about?

AI agents are evolving beyond static training by autonomously refining their internal 'harness'—the code and workflows governing their behavior. By applying techniques similar to genetic algorithms, these agents iteratively improve their prompting and memory systems. However, this autonomous growth risks 'misalignment' if the agent's interpreted goal deviates from human intent.