@GoogleDeepMind: A model’s chain of thought acts like a scratch pad, offering a window into its reasoning. On the latest episode of our …

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Summary

Google DeepMind announces a podcast episode on interpretability, featuring host @fryrsquared and @NeelNanda5 discussing mechanistic interpretability, chain of thought monitoring, and safety auditing.

A model’s chain of thought acts like a scratch pad, offering a window into its reasoning. On the latest episode of our podcast, host @fryrsquared sits down with @NeelNanda5 to explore interpretability – the science of reverse engineering how neural networks learn and think. Timecodes: 00:00 Introduction 02:41 Motivation for interpretability research 04:01 Mechanistic interpretability 08:14 Chain of thought monitoring 18:14 Interpretability techniques 35:00 Auditing models for safety 48:53 What comes next for interpretability
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Cached at: 07/10/26, 06:13 PM

A model’s chain of thought acts like a scratch pad, offering a window into its reasoning.

On the latest episode of our podcast, host @fryrsquared sits down with @NeelNanda5 to explore interpretability – the science of reverse engineering how neural networks learn and think.

Timecodes: 00:00 Introduction 02:41 Motivation for interpretability research 04:01 Mechanistic interpretability 08:14 Chain of thought monitoring 18:14 Interpretability techniques 35:00 Auditing models for safety 48:53 What comes next for interpretability

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