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Unsupervised Learning
by Redpoint Ventures
76 episodes
4 days ago
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 notifications to stay up to date on our latest episodes. Unsupervised Learning is a podcast by Redpoint Ventures, an early-stage venture capital fund that has invested in companies like Snowflake, Stripe, and Mistral. Cohosted by Redpoint investors Jacob Effron, Patrick Chase, Jordan Segall and Erica Brescia.
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Technology
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All content for Unsupervised Learning is the property of by Redpoint Ventures and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
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 notifications to stay up to date on our latest episodes. Unsupervised Learning is a podcast by Redpoint Ventures, an early-stage venture capital fund that has invested in companies like Snowflake, Stripe, and Mistral. Cohosted by Redpoint investors Jacob Effron, Patrick Chase, Jordan Segall and Erica Brescia.
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Technology
Episodes (20/76)
Unsupervised Learning
Ep 70: Karol Hausman and Danny Driess (Physical Intelligence) Unpack the Most Recent Breakthroughs & Path to Generalist Robots
In this episode, Jacob sits down with Karol Hausman (Co-Founder) and Danny Driess (Research Scientist) from Physical Intelligence, two of the minds behind some of the most exciting advances in robotics. They unpack the last decade of progress in AI robotics, from early skepticism to the breakthroughs powering today’s generalist robot models. The conversation covers everything from folding laundry with robots to building scalable data pipelines, the limits of simulation, and what it’ll take to bring robot assistants into everyday homes. It's a wide-ranging and thoughtful look at where robotics is headed, as well as how fast we might get there.
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1 week ago
1 hour 9 minutes 57 seconds

Unsupervised Learning
Ep 69: Co-Founder of Databricks & LMArena on Current Eval Limitations, Why China is Winning Open Source and Future of AI Infrastructure
Ion Stoica helped define the modern data stack. Now he’s coming for AI evaluation. From co-founding Databricks and Anyscale to launching LMArena, Ion has shaped the infrastructure underlying some of the biggest shifts in computing. In this conversation, he unpacks what most people get wrong about model evaluation, the infrastructure challenges ahead for agents and heterogeneous compute, and why he believes the U.S. is structurally disadvantaged in open-source AI compared to China.
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4 weeks ago
54 minutes 57 seconds

Unsupervised Learning
Ep 68: CEO of Mercor Brendan Foody on Evals Replacing Knowledge Work, AI x Hiring Today & the Future of Data Labeling
Brendan Foody is the co-founder and CEO of Mercor, a company building the infrastructure for AI-native labor markets. Mercor’s platform is already used by top AI labs to label data, evaluate human and AI candidates, and make performance-driven hiring decisions. They’re operating at the intersection of recruiting, evals, and foundation model development—helping companies shift from intuition to measurable prediction. Brendan and his team recently raised $100M and are working with some of the most advanced players in the AI ecosystem today.
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1 month ago
44 minutes 3 seconds

Unsupervised Learning
Ep 67: Max Junestrand (CEO, Legora) on Differentiating and Pricing AI Apps & How the Legal Industry Will Evolve
Jacob and Logan sit down with Max Junestrand, founder and CEO of Legora - a rapidly growing legal AI platform (and Redpoint portfolio company). After announcing their Series B last week, Max joined the show to discuss why law is uniquely suited for AI, what it takes to scale an enterprise-ready product across global markets, and a few crazy moments from Legora’s journey so far. They dig into product strategy, lessons on evolving alongside foundational models, and how AI is reshaping the future of law firms. Whether you're building in AI or just curious how it’s being applied in complex industries, this one’s packed with practical insights.
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1 month ago
44 minutes 9 seconds

Unsupervised Learning
Ep 66: Member of Technical Staff at Anthropic Sholto Douglas on Claude 4, Next Phase for AI Coding, and the Path to AI Coworkers
Sholto Douglas, a Member of Technical Staff at Anthropic, joined Unsupervised Learning to break down why coding is the clearest early signal of model progress, how AI agents are already accelerating research, and what it’ll take to unlock real-world breakthroughs in fields like biology and robotics.
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1 month ago
57 minutes 45 seconds

Unsupervised Learning
Ep 65: Co-Authors of AI-2027 Daniel Kokotajlo and Thomas Larsen On Their Detailed AI Predictions for the Coming Years
The recent AI 2027 report sparked widespread discussion with its stark warnings about the near-term risks of unaligned AI. Authors @Daniel Kokotajlo (former OpenAI researcher now focused full-time on alignment through his nonprofit, @AI Futures, and one of TIME’s 100 most influential people in AI) and @Thomas Larsen joined the show to unpack their findings. We talk through the key takeaways from the report, its policy implications, and what they believe it will take to build safer, more aligned models.
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2 months ago
1 hour 23 minutes 27 seconds

Unsupervised Learning
Ep 64: GPT 4.1 Lead at OpenAI Michelle Pokrass: RFT Launch, How OpenAI Improves Its Models & the State of AI Agents Today
In this episode, I sit down with Michelle Pokrass, who leads post-training at OpenAI and played a key role in the launch of GPT-4.1 and their upcoming RFT offering. We unpack how OpenAI prioritized instruction-following and long context, why evals have a 3-month shelf life, what separates successful AI startups, and how the best teams are fine-tuning to push past the current frontier. If you’ve ever wondered how OpenAI really decides what to build, and how it affects what you should build, this one’s for you.
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2 months ago
47 minutes 12 seconds

Unsupervised Learning
Ep 63: Khan Academy Founder/CEO on Salman Khan on Classrooms in 20 years, Rolling out to 1.4M Users & Sal’s Hopes for AI Education
When Khan Academy launched Khanmigo, Salman Khan thought they might reach 100k users by 2025. Today, they’re at 1.4 million. 🎧 Sal joined us on Unsupervised Learning to talk about AI's role in education— from the vantage point of someone deploying it at scale. As founder of Khan Academy, he’s overseen the rollout of AI tools to over a million teachers and students, giving him a front-row seat to what’s actually working in classrooms.
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2 months ago
50 minutes 53 seconds

Unsupervised Learning
Ep 62: CEO of Cohere Aidan Gomez on Scaling Limits Emerging, AI Use-cases with PMF & Life After Transformers
Aidan joined this week’s Unsupervised Learning for a wide-ranging conversation on model architectures, enterprise adoption, and what’s breaking in the foundation model stack. If you’re building or investing in AI infrastructure, Aidan is worth listening to. He co-authored the original Transformer paper, leads one of the most advanced model labs outside of the hyperscalers, and is now building for real-world enterprise deployment with Cohere’s agent platform, North. Cohere serves thousands of customers across sectors like finance, telco, and healthcare — and they’ve made a name for themselves by staying model-agnostic, privacy-forward, and deeply international (with major bets in Japan and Korea)
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3 months ago
50 minutes 44 seconds

Unsupervised Learning
Ep 61: Redpoint’s AI Investors Break Down What Separates Enduring AI Companies from the Hype
At Redpoint’s annual meeting with investors, Redpoint partners Scott Raney, Alex Bard, Patrick Chase and Jacob Effron shared unfiltered thoughts on some of the most topical questions in AI today, where value will accrue, which industries are best positioned for defensibility at the application layer, and more.
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3 months ago
43 minutes 28 seconds

Unsupervised Learning
Ep 60: Swyx and Alessio (Latent Space) on What has PMF Today, Google is Cooking & GPT Wrappers are Winning
To unpack some of the most topical questions in AI, I’m joined by two fellow AI podcasters: Swyx and Alessio Fanelli, co-hosts of the Latent Space podcast. We’ve been wanting to do a cross-over episode for a while and finally made it happen. Swyx brings deep experience from his time at AWS, Temporal, and Airbyte, and is now focused on AI agents and dev tools. Alessio is an investor at Decibel, where he’s been backing early technical teams pushing the boundaries of infrastructure and applied AI. Together they run Latent Space, a technical newsletter and podcast by and for AI engineers.
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3 months ago
1 hour 1 minute 30 seconds

Unsupervised Learning
Ep 59: OpenAI Product & Eng Leads Nikunj Handa and Steve Coffey on OpenAI’s New Agent Development Tools
Two weeks ago, OpenAI released its set of tools to help developers build agentic systems. Today on Unsupervised Learning, Nikunj Handa (Product Lead) and Steve Coffey (Eng Lead) answer some of the biggest questions around how developers should be thinking about building in the agentic paradigm in 2025.
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3 months ago
44 minutes 37 seconds

Unsupervised Learning
Ep 58: Google Researchers Noam Shazeer and Jack Rae on Scaling Test-time Compute, Reactions to Ilya & AGI
On the latest episode of Unsupervised Learning, Jacob is joined by two of the most influential minds in AI today. 🔹 Noam Shazeer, co-inventor of the Transformer 🔹 Jack Rae, Research Director at DeepMind and one of the leads behind Gemini’s Flash Thinking We got to ask them all of the top-of-mind questions in AI today about where we are, where we’re headed and what it means for businesses and the world.
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4 months ago
1 hour 9 minutes 28 seconds

Unsupervised Learning
Ep 57: Former CTO of Meta Mike Schroepfer on the Path to Powering the AI Revolution
On today’s Unsupervised Learning, Mike Schroepfer (ex-CTO of Meta and founder of Gigascale Capital) reveals why energy is a key bottleneck holding AI progress back. Mike discusses how we can scale energy production to democratize AI globally and explores AI’s role in climate change. He also reflects on a decade as Meta’s CTO and how AI coding is transforming the CTO role. Finally, he offers predictions on the future of AI developer tools, VR, and open-source models.
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4 months ago
44 minutes 47 seconds

Unsupervised Learning
Ep 56: Distinguished Engineer at Waymo Vincent Vanhoucke Unpacks the Breakthroughs and Bottlenecks of Self-Driving
Waymo is an autonomous driving technology company with the mission to be the world's most trusted driver. The company operates a 24/7 public ride-hail service and provides over 150,000 trips each week across San Francisco, Los Angeles, Phoenix, and Austin, making mobility more accessible, sustainable, and safer for everyone. In this week’s episode of Unsupervised Learning, we dive deep into the frontier where AI meets hardware — and there’s no better guide than Vincent Vanhoucke, Distinguished Engineer at Waymo and former Head of Robotics at DeepMind.
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4 months ago
1 hour 13 minutes 1 second

Unsupervised Learning
Ep 55: Head of Amazon AGI Lab David Luan on DeepSeek’s Significance, What’s Next for Agents & Lessons from OpenAI
David is an OG in AI who has been at the forefront of many of the major breakthroughs of the past decade. His resume: VP of Engineering at OpenAI, a key contributor to Google Brain, co-founder of Adept, and now leading Amazon’s SF AGI Lab. In this episode we focused on how far test-time compute gets us, the real implications of DeepSeek, what agents milestones he’s looking for and more.
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4 months ago
43 minutes 49 seconds

Unsupervised Learning
Ep 54: Princeton Researcher Arvind Narayanan on the Limitations of Agent Evals, AI’s Societal Impact & Important Lessons from History
Arvind Narayanan is one of the leading voices in AI when it comes to cutting through the hype. As a Princeton professor and co-author of AI Snake Oil, he’s one of the most thoughtful voices cautioning against both unfounded fears and overblown promises in AI. In this episode, Arvind dissects the future of AI in education, its parallels to past tech revolutions, and how our jobs are already shifting toward managing these powerful tools.
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5 months ago
57 minutes 9 seconds

Unsupervised Learning
Ep 53: SemiAnalysis Founder Dylan Patel on New AI Regulations, Future of Chinese AI & xAI’s Scrappy Surge to Hyperscale
In this episode of Unsupervised Learning, we sit down with Dylan Patel, Chief Analyst at SemiAnalysis, to break down what these sweeping changes really mean. From how they consolidate power among Big Tech to China's narrowing options for AI dominance, we unpacked the impact of this regulatory shift.
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5 months ago
1 hour 24 minutes 15 seconds

Unsupervised Learning
Ep 52: Marc Benioff Responds to Satya and Unpacks the Agentic Era
6 months ago
39 minutes 57 seconds

Unsupervised Learning
Ep 51: Former Chief Research Officer of OpenAI Bob McGrew - What Comes Next for AI?
In our new world of AI, few minds shine as brightly as Bob McGrew's. Until November Bob was the Chief Research Officer at OpenAI, and before that led Palantir’s engineering and product management for the first decade of its existence. He’s seen it all and we were fortunate to get his insights and vision for the future in one of my favorite episodes of Unsupervised Learning to date.
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7 months ago
1 hour 7 minutes 32 seconds

Unsupervised Learning
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 notifications to stay up to date on our latest episodes. Unsupervised Learning is a podcast by Redpoint Ventures, an early-stage venture capital fund that has invested in companies like Snowflake, Stripe, and Mistral. Cohosted by Redpoint investors Jacob Effron, Patrick Chase, Jordan Segall and Erica Brescia.