discernment > data: from textbox to toolbox
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À propos de cet audio
I sit down with my former business school classmate Glendon Haas, now a Director at an AI company, to break down why we may still be in the stone age of AI and what it takes for models to move from talking to actually doing. We get into agentic AI, practical tool use, and how deep research is becoming the new search function.
Glendon also explains why reinforcement learning can make models too agreeable and why discernment is the real human edge in the age of AI.
In the lifestyle segment, he shares the simple reset that keeps him grounded as a director and a dad: baking cookies.
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