Unsupervised Learning with Jacob Effron

Jacob Effron, Patrick Chase, Jordan Segall, Erica Brescia

jeffron@redpoint.com

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

Booking Overview

A venture-investor-led AI research show that brings top scientists and researchers into focused, credibility-heavy conversations about what’s real in today’s AI and what the next breakthroughs mean for businesses. It’s a strong fit for PR targets in frontier AI research, model architectures, and agentic/world-model approaches.

Metrics

Episodes: 96

Frequency: Irregular

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 at Redpoint Ventures. Host of “Unsupervised Learning,” interviewing and probing leading AI researchers to understand current limitations and future implications for builders, rese...

Patrick Chase - Redpoint Ventures investor; co-host on “Unsupervised Learning.” Provides perspective from early-stage venture investing into frontier AI research and company building.

Jordan Segall - Redpoint Ventures investor; co-host on “Unsupervised Learning.” Focuses on evaluating frontier AI progress and translating research directions into practical business implications.

Erica Brescia - Redpoint Ventures investor; co-host on “Unsupervised Learning.” Helps guide AI-focused episodes connecting research breakthroughs to go-to-market and industry impact.

Booking Intelligence

Booking Requirements

high
Typical Credentials:  
Frontier AI researchers and senior research leaders (e.g., VP/Director at major labs), seminal paper authors, or high-credibility authors/biographers with extensive access to AI leaders; strong track record explaining architectures (transformers, RL, world models) and implications for AGI/agents.
Required Achievements:  
Seminal publications in LLM/transformer/RL areas, Senior roles at leading AI labs (e.g., Google DeepMind), Leadership of major model programs (e.g., Gemini co-leadship), Major authored works with deep primary-source reporting on AI founders/labs

Recent Guest Discussions

Lukasz Kaiser - Transformer Architectural Limits, Data Efficiency, RL Frontier, Coding Agents, Open Vs Closed Models, Next Architectural Leaps

Sebastian Mallaby - Deepmind Leadership And Research Approach, AI Race Inevitability, Safety As A Policy/governance Problem, Talent And Hiring Dynamics, Deepmind’s Strategic Bets

Oriol Vinyals - World Models For AGI Progress, Multimodal/video Modeling, Memory And Continual Learning, Agent Mechanics, Limits Of RL, Research Implications For Founders

Recent Topics

Artificial Intelligence, Machine Learning, Ai Research, Reinforcement Learning, Transformers

Episodes

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

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...

Ep 88: Unpacking DeepMind's Quest for SuperIntelligence with Demis Hassabis' Biographer

June 01, 2026

Sebastian Mallaby spent three years and 30+ hours interviewing Demis Hassabis in the back of a British pub to write The Infinity Machine, and the conversation uses that reporting to surface the most underexplored figure in AI. Demis founded the original AI lab in 2010, won a Nobel Prize, runs models that consistently top the leaderboards, and yet remains so unrecognized that Sebastian's own publisher worried no one would buy a book with his face on the cover.  The throughline is a paradox: De...

Ep 87: Gemini Co-Lead on World Models, RL's Next Domains & Continual Learning

May 22, 2026

Oriol Vinyals, VP of Research at Google DeepMind and co-lead of the Gemini program, joins Jacob the day after Google I/O to unpack the research underpinning Google's latest announcements and where frontier AI is heading. The conversation moves from world models (why Google has uniquely bet on them as a path to AGI, what the "GPT moment" for video and images would look like, and how they connect to robotics and simulation) to agents (the Spark release, why the system and model need to be optim...

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