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Mechanistic interpretability

Discussed in 4 analyzed podcast episodes across 5 shows

Discussed On

"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis Lenny's Podcast: Product | Career | Growth Latent Space: The AI Engineer Podcast The Quanta Podcast Practical AI

Episodes

"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis

"The Cognitive Revolution" | AI Builders, Researchers, and Live Player Analysis · Mar 5, 2026

Don't Fight Backprop: Goodfire's Vision for Intentional Design, w/ Dan Balsam & Tom McGrath

Intentional Design paradigm Sparse autoencoders Hallucination reduction techniques Gradient descent optimization Loss landscape manipulation

Lenny's Podcast: Product | Career | Growth

Lenny's Podcast: Product | Career | Growth · Feb 19, 2026

Head of Claude Code: What happens after coding is solved | Boris Cherny

AI-powered software development Claude Code adoption and impact Agentic AI vs conversational AI AI safety and alignment research Product development with AI tools

Latent Space: The AI Engineer Podcast

Latent Space: The AI Engineer Podcast · Feb 6, 2026

The First Mechanistic Interpretability Frontier Lab — Myra Deng & Mark Bissell of Goodfire AI

Mechanistic Interpretability Model Steering and Control Sparse Autoencoders (SAEs)AI Safety and Alignment Healthcare AI Applications

The Quanta Podcast

The Quanta Podcast · Feb 3, 2026

Do AI Models Agree On How They Encode Reality?

AI Model Internal Representations Neural Network Interpretability Platonic Forms in Artificial Intelligence Vector Geometry and High-Dimensional Spaces Cross-Model AI Comparison Methods

Practical AI · Jan 20, 2026

Controlling AI Models from the Inside

AI Model Safety Mechanistic Interpretability AI Guardrails Jailbreaking Prevention Runtime AI Security