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Artwork for Unsupervised Learning

Unsupervised Learning with Jacob Effron

by Redpoint Ventures
Openai
Artificial Intelligence
Generative AI
AI Safety
Chatgpt
China
NVIDIA
User Experience
Livekit
Artificial General Intelligence
Open Source Models
Product Market Fit
Superintelligence
Reinforcement Learning
Legora
Voice AI
AI Engineering
Google
AI 2027
AI Infrastructure

We probe the sharpest minds in AI in search for the truth about what’s real today, what will be real in the future and what it all means for businesses and the world. If you’re a builder, researcher or investor navigating the AI world, this podcast will help you deconstruct and understand the most important breakthroughs and see a clearer picture of reality. Follow this show and consider enabling ... more

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Artwork for Unsupervised Learning

Latest Episodes

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... more

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 origi... more

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 w... more

Yann LeCun, Turing Award winner and former Chief AI Scientist at Meta, joins Jacob Effron. The conversation centers on Yann's contrarian thesis that LLMs are a dead-end on the path to human-level intelligence, despite being useful products — because ... more

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Recent Guests

Oriol Vinyals
Co-lead of Gemini at Google, AI researcher
Google Gemini
Episode: Ep 87: Gemini Co-Lead on World Models, RL's Next Domains & Continual Learning
Yann LeCun
Chief AI Scientist, AMI Labs; pioneer in JEPA/world models
AMI Labs
Episode: Ep 86: Yann LeCun on Leaving Meta, Breaking The LLM Paradigm, & Why Hinton is Wrong
Jakub Pachocki
Chief Scientist at OpenAI
OpenAI
Episode: Ep 84: OpenAI’s Chief Scientist on Continual Learning Hype, RL Beyond Code, & Future Alignment Directions
Jake Stauch
Founder and CEO of Serval
Serval
Episode: Ep 83: Owning the System of Record, AI-Native Org Charts, & Why ITSM is The Most Vulnerable Legacy Category
Max Jungestål
CEO of Legora
Legora
Episode: Ep 82: Behind Legora's $550M Raise, Model Competition, Doubling Revenue Every Quarter, & US Expansion
Jerry Tworek
Former VP of Research at OpenAI
OpenAI
Episode: Ep 81: Ex-OpenAI Researcher On Why He Left, His Honest AGI Timeline, & The Limits of Scaling RL
Edwin Chen
CEO of Surge AI
Surge AI
Episode: Ep 80: CEO of Surge AI Edwin Chen on Why Frontier Labs Are Diverging, RL Environments & Developing Model Taste
Dianne Na Penn
Head of Product for Research at Anthropic
Anthropic
Episode: Ep 77: Anthropic’s Dianne Na Penn on Opus 4.5, Rethinking Model Scaffolding & Safety as a Competitive Advantage
Ari Morcos
Data scientist at Datalogy AI
Datalogy AI
Episode: AI Round Up: Ari Morcos from Datalogy AI and Rob Toews from Radical VC on Karpathy Reactions, OpenAI’s Dealmaking, & Bubble Reality Check

Host

Jacob Effron
Host of the podcast

Reviews

4.9 out of 5 stars from 233 ratings
  • Awesome podcast

    Great guests great questions love it

    Apple Podcasts
    5
    hadrianwho?
    United Statesa year ago
  • Strongly recommend

    One of the best podcasts in AI.

    Apple Podcasts
    5
    Frank-manu
    Canadaa year ago
  • Incredible

    Thank you so much for this podcast. Very informative and I can’t wait for each episode!

    Apple Podcasts
    5
    Awsedrftgyhujikolm
    United States2 years ago
  • Thank you Redpoint for doing the hard work of keeping up with AI!

    Amazing way to keep up with AI’s rapidly evolving impact on all sorts of industries! Unsupervised learning, indeed.

    Apple Podcasts
    5
    amooradian
    United States3 years ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Strong candid conversations about emerging AI strategies and market dynamics.
Listeners praise concise, high-signal episodes that cut through hype.
Guests bring high-caliber AI expertise and industry insight.
Content is consistently technically rigorous with practical business takeaways.

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Talking Points

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Ep 87: Gemini Co-Lead on World Models, RL's Next Domains & Continual Learning
Q: What domains do you think RL will take off in next, given post-training advances?
RL and post-training are progressing in coding and math domains, with potential expansion into more general, meta-capable behaviors, including long-horizon reasoning, continual learning, and improved instruction following that scales across multiple domains.
Ep 87: Gemini Co-Lead on World Models, RL's Next Domains & Continual Learning
Q: What breakthroughs enabled Spark consumer agents and how should people think about what these agents can do today?
The key breakthroughs involve tightening the loop between model capability, system design, and orchestration, enabling agents to act autonomously within a digital environment, while balancing reliability and user intent through a scalable system around the model.
Ep 87: Gemini Co-Lead on World Models, RL's Next Domains & Continual Learning
Q: Could you give context on world models and Omni, and why you and your team focus on this space?
Omni represents a multimodal world model that can render and interact with video and imagery using language, with the aim of uncovering how to capture broad knowledge across modalities and eventually use that understanding for prediction and control in robotics, simulation, and other domains.
Ep 85: Has AI Infra Stabilized, FM Vibe Shift, & What's Next for Coding Agents
Q: Can you lay out the state of the AI coding wars today?
The space is massive and rapidly expanding, with multiple top players—OpenAI, Anthropic, and others—lining up significant ARR and market presence around coding products. The field is moving beyond basic coding to broader use cases, with continued investment and competition driving rapid feature development and ecosystem growth.
Ep 83: Owning the System of Record, AI-Native Org Charts, & Why ITSM is The Most Vulnerable Legacy Category
Q: How do you approach guardrails and safety in a production enterprise environment?
We architect end-to-end guardrails where end users interact with an agent that does not have direct access to business systems; instead, it routes requests to deterministic, permissioned workflows with explicit approvals and robust verification like code-generation checks and visualization.

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Frequently Asked Questions About Unsupervised Learning

What is Unsupervised Learning about and what kind of topics does it cover?

This show dives into cutting-edge AI research, practical deployment, and the business implications of rapid advances. Episodes frequently feature top researchers, founders, and investors discussing world models, continual learning, agent-based tooling, and enterprise AI. Listeners often include builders and decision-makers seeking clarity on what's real today, what's feasible tomorrow, and how to navigate the AI landscape for real-world impact. A standout trait is its blend of technical rigor with strategic business context, plus access to leading thinkers shaping the field.

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1. Training Data
2. No Priors: Artificial Intelligence | Technology | Startups
3. The MAD Podcast with Matt Turck
4. AI + a16z
5. The a16z Show

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Unsupervised Learning launched 3 years ago and published 96 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on Unsupervised Learning?

Recent guests on Unsupervised Learning include:

1. Oriol Vinyals
2. Yann LeCun
3. Jakub Pachocki
4. Jake Stauch
5. Max Jungestål
6. Jerry Tworek
7. Edwin Chen
8. Dianne Na Penn

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