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EPISODE · Dec 5, 2025 · 14 MIN

Bridging Circuits and Concepts in Large Language Models

from Inside the Black Box: Cracking AI and Deep Learning · host Arshavir Blackwell, PhD

How do millions of computations inside large language models add up to something like understanding? This episode explores the latest breakthroughs in mechanistic interpretability, showing how tools like representational geometry, circuit decomposition, and compression theory illuminate the missing middle between circuits and meaning. Join Arshavir Blackwell as he opens the black box and challenges what we really mean by 'understanding' in machines.

What this episode covers

How do millions of computations inside large language models add up to something like understanding? This episode explores the latest breakthroughs in mechanistic interpretability, showing how tools like representational geometry, circuit decomposition, and compression theory illuminate the missing middle between circuits and meaning. Join Arshavir Blackwell as he opens the black box and challenges what we really mean by 'understanding' in machines.

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Bridging Circuits and Concepts in Large Language Models

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Frequently Asked Questions

How long is this episode of Inside the Black Box: Cracking AI and Deep Learning?

This episode is 14 minutes long.

When was this Inside the Black Box: Cracking AI and Deep Learning episode published?

This episode was published on December 5, 2025.

What is this episode about?

How do millions of computations inside large language models add up to something like understanding? This episode explores the latest breakthroughs in mechanistic interpretability, showing how tools like representational geometry, circuit...

Is there a transcript available for this episode?

Yes, a full transcript is available for this episode. You can read the complete transcript on the episode page.

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