discernment > data: from textbox to toolbox in the age of ai
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discernment > data: from textbox to toolbox in the age of ai
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About this listen
Kirin reconnects with former business school classmate, Glendon Haas, now a Director at an AI company, for an essential unpack of where the field truly stands. They dive deep into the why we might still be in the stone age of AI and what it takes for models to move from talking to genuinely doing.
Glendon talks about the shift to agentic AI, detailing what practical tool use looks like and how deep research is becoming the new search function. He also breaks down complex model behavior, explaining why reinforcement learning can sometimes make systems too agreeable, and ultimately that discernment is the single most important human skill in the age of AI.
Our patches:
- Tool Use over Talk: Models must learn to act, not just articulate.
- Agents that Act: The future is in autonomous, goal-directed AI.
- Deep Research as the New Search: Moving beyond basic information retrieval.
- Discernment is the Real Edge: The human skill that matters most.
We wrap with the lifestyle segment, as Glendon shares his personal playbook for staying grounded as a director and a dad and why the simple, present-focused act of baking cookies is his favorite reset.