Linear Digressions

Publicly listed emails

hello@lineardigressions.com

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Back Next Week

October 19, 2026

Back Next Week by Katie Malone

Back in Two Weeks

October 12, 2026

Back in Two Weeks by Katie Malone

Mechanistic Interpretability: How Researchers Try To See Inside Models

October 05, 2026

As AI systems grow more powerful, they grow harder to understand — and that tradeoff has never mattered more. Most interpretability tricks give us approximations from the outside, but mechanistic interpretability takes a different approach: cracking open the model itself to trace *why* it behaves the way it does. This episode digs into what makes mechanistic interpretability fundamentally different from other explainability methods, and why it might be the most promising path toward actually ...

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How do I get in touch with Linear Digressions?

Linear Digressions is hosted by Katie Malone. Its publicly listed email is hello@lineardigressions.com. For guest bookings, the host or producer is usually the best person to reach. Podseeker helps you find direct host and producer contacts and pitch from your own inbox.

What is the email for Linear Digressions?

The publicly listed email for Linear Digressions: hello@lineardigressions.com.

How many listeners does Linear Digressions have?

Podseeker estimates Linear Digressions reaches 1,000 to 10,000 listeners per episode. Only the publisher has exact numbers.

Who is an ideal guest for Linear Digressions?

Linear Digressions typically books well-known public figures. Typical guest background: Recognized AI, data science, statistics, cybersecurity, or technology professionals with substantial research, academic, business, or institutional expertise and the ability to explain complex subjects clearly. Common among recent guests: Academic or institutional leadership in AI, data science, statistics, or technology; Published research or influential writing on emerging AI and data science topics; Leadership in applying AI or data science within established organizations. Recent guests include Xiao-Li Meng and Tom Davenport.

How hard is it to get booked on Linear Digressions?

High. It mostly books established leaders in its field.

What topics does Linear Digressions cover?

Recent episodes cover Technology, Artificial Intelligence, Machine Learning, Ai Safety, and Data Science. Pitch an idea tied to one of these topics and mention a recent episode.