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EPISODE · Nov 5, 2025

Can We Fix It?

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

Arshavir Blackwell takes you on a journey inside the black box of large language models, showing how cutting-edge methods help researchers identify, understand, and even fix the inner quirks of AI. Through concrete case studies, he demonstrates how interpretability is evolving from an arcane art to a collaborative science—while revealing the daunting puzzles that remain. This episode unpacks the step-by-step workflow and surprising realities of mechanistically mapping model cognition.

What this episode covers

Arshavir Blackwell takes you on a journey inside the black box of large language models, showing how cutting-edge methods help researchers identify, understand, and even fix the inner quirks of AI. Through concrete case studies, he demonstrates how interpretability is evolving from an arcane art to a collaborative science—while revealing the daunting puzzles that remain. This episode unpacks the step-by-step workflow and surprising realities of mechanistically mapping model cognition.

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Can We Fix It?

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

This episode was published on November 5, 2025.

What is this episode about?

Arshavir Blackwell takes you on a journey inside the black box of large language models, showing how cutting-edge methods help researchers identify, understand, and even fix the inner quirks of AI. Through concrete case studies, he demonstrates how...

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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