<![CDATA[Thinking with AI]]>077b6165-a7b2-59f4-b094-7db9b2ea81f7Fri, 24 Apr 2026 18:00:00 +0000Captivate.fmGarvin Kruthofhttps://artwork.captivate.fm/15d391b2-486b-4ddc-a418-143867400c87/Untitled-1-22-04-2026-18-43-37.pngThinking with AIGarvin KruthofGarvin KruthofThinking with AI is a podcast about research, AI, and decision making. In each episode, Garvin Kruthof takes one question that matters - about AI, science, work, medicine, or society - and works it through in structured dialogue with a language model. The aim is not to let AI speak for us, and not to treat it as an authority. It is to use dialogue with AI as a way of clarifying ideas, testing assumptions, and making difficult questions more precise. This is not a podcast about what AI thinks. It is a podcast about how thinking changes when AI becomes part of the conversation.https://thinking-with-ai.captivate.fmfalseserialnopodcastDoes AI Improve Understanding, or Only Fluency?Does AI Improve Understanding, or Only Fluency?In the first episode of Thinking with AI, I ask a deceptively simple question: when AI explains something clearly, does it actually deepen understanding, or does it sometimes only create the feeling of understanding?

Using a structured dialogue with a language model, this episode explores the difference between fluency and comprehension, between assisted performance and durable understanding, and between AI as a substitute for thinking and AI as a scaffold for it.

The conversation moves from principle to practice: what would have to be true for AI to genuinely deepen understanding, and why might real-world use drift instead toward convenience, outsourcing, and the appearance of competence?

This episode features structured dialogue between me and a language model. The AI voice is synthetic, and its contributions may be based on multiple prompted drafts edited for clarity, rigor, and length. The framing, interpretation, and conclusions are my own.

]]>In the first episode of Thinking with AI, I ask a deceptively simple question: when AI explains something clearly, does it actually deepen understanding, or does it sometimes only create the feeling of understanding?

Using a structured dialogue with a language model, this episode explores the difference between fluency and comprehension, between assisted performance and durable understanding, and between AI as a substitute for thinking and AI as a scaffold for it.

The conversation moves from principle to practice: what would have to be true for AI to genuinely deepen understanding, and why might real-world use drift instead toward convenience, outsourcing, and the appearance of competence?

This episode features structured dialogue between me and a language model. The AI voice is synthetic, and its contributions may be based on multiple prompted drafts edited for clarity, rigor, and length. The framing, interpretation, and conclusions are my own.

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