Unsupervised Learning with Jacob Effron

Jacob Effron, Patrick Chase, Jordan Segall, Erica Brescia

jeffron@redpoint.com

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Booking Overview

An expert-led artificial intelligence interview podcast focused on frontier research, AI labs, technical breakthroughs, commercialization, and long-term implications, featuring senior researchers, technology founders, venture investors, and industry commentators. Credible pitches include prominent AI researchers, lab executives, technical founders, and investors with original views and substantial domain authority; booking difficulty is very high because recent guests include foundational researchers and senior figures from leading AI organizations.

Metrics

Episodes: 98

Rating: 4.9/5.0

Estimated listeners: 1k-10k

Gender skew: Male

Location: USA

Contact Information

jeffron@redpoint.com

For verified host and producer emails, sign up to view.

Host

Jacob Effron - Managing Director and investor at Redpoint Ventures, focused on probing major developments in artificial intelligence and their implications for business and society.

Patrick Chase - Co-host of the Redpoint Ventures artificial intelligence podcast.

Jordan Segall - Co-host of the Redpoint Ventures artificial intelligence podcast.

Erica Brescia - Co-host of the Redpoint Ventures artificial intelligence podcast.

Booking Intelligence

Booking Requirements

very_high
Typical Credentials:  
Recognized AI researchers, senior leaders at major AI labs or technology companies, technical founders, and venture investors or analysts with deep expertise and original views on the field.
Required Achievements:  
Seminal contributions to artificial intelligence research, Leadership or research roles at major AI laboratories or technology companies, Founding or leading influential AI companies, Venture investment, research commentary, or authoritative technology journalism

Recent Guest Discussions

Jürgen Schmidhuber - Artificial General Intelligence, Recursive Self-improvement, AI Research, Artificial Curiosity, Robotics, AI Infrastructure, Open-source Versus Closed AI, And AI Safety.

Rob Toews - AI Lab Strategy, Open-weight Versus Closed Models, Technology Companies, AI Infrastructure, Semiconductor Bottlenecks, Robotics, And Industry Predictions.

Ari Morcos - AI Lab Competition, Coding Agents, Open-weight Models, AI Apis, Compute Constraints, Semiconductor Technology, Robotics, And The Pace Of Recursive Self-improvement.

Lukasz Kaiser - Transformer Architectures, AI Generalization, Data Efficiency, Reinforcement Learning, Coding Agents, AI Research Productivity, Multimodal Systems, And Open Versus Closed-source Ai.

Recent Topics

Artificial Intelligence, Machine Learning, Robotics, Venture Capital, Startups

Episodes

Here's the recent few episodes on
Unsupervised Learning with Jacob Effron
:

Ep 90: AI Pioneer Jürgen Schmidhuber on the State of AI Today

July 09, 2026

Dr. Jürgen Schmidhuber, a renowned scientist and AI researcher widely regarded as one of the pioneers in the field, originated key ideas behind today's transformers, LSTMs, and recursive self-improvement through his lab's work. He argues that true AGI remains bottlenecked by physical hardware, that today's AI data center investments are headed for a correction as open-source keeps pace with closed labs, and that the path to general intelligence runs through artificial curiosity and self-gener...

AI Vibe Check: Lab Wars, Why APIs Might Vanish & Future Predictions

June 12, 2026

Six months after their last roundup, Jacob sits down with Ari Morcos (Datology AI CEO, former Meta AI researcher) and Rob Toews (Radical Ventures partner, Forbes AI columnist) to take stock of an AI landscape that has shifted dramatically: coding agents crossing the long-time-horizon threshold has turned engineers into managers of agents, near-frontier open weight AI looks like it may be disappearing as Meta and the Chinese labs pull back, and Anthropic's restrictions on its newly released Fa...

Ep 89: AI Research Legend’s Honest Assessment of Where We Are

June 03, 2026

This episode with Lukasz Kaiser, co-author of the seminal "Attention Is All You Need" transformer paper and former researcher at both Google Brain and OpenAI, is a wide-ranging conversation about the fundamental limits of current AI architectures and whether transformers will continue to dominate or eventually give way to something new. Lukasz brings a rare dual perspective: deep belief in how far the current paradigm has taken us (he's an enthusiastic daily Codex user who's seen 10x producti...

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