Unsupervised Learning
by Redpoint Ventures
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.
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.
Episodes
Mentioned books
59 snips
Aug 26, 2025 • 1h 4min
Ep 73: General Partner of Felicis Peter Deng on on AI Pricing Tactics, Reaction to GPT-5 & Why Voice is Underrated
Peter Deng, General Partner at Felicis and former Product Leader at OpenAI, shares his profound insights on AI pricing strategies, advocating for innovative approaches over traditional models. He discusses the fragmented future of consumer AI and the potential of voice technology to redefine human-computer interactions. Peter reflects on the importance of unique data in building competitive AI startups and highlights the changing dynamics as foundation models evolve. His insider perspective on ChatGPT’s rapid development makes for an enlightening conversation.
44 snips
Aug 13, 2025 • 57min
Ep 72: Co-Founder of Chai Discovery Joshua Meier on 99% Faster Drug Discovery, BioTech’s AlphaGo Moment, Building Photoshop for Molecules
Joshua Meier, co-founder of Chai Discovery and ex-Chief AI Officer at Absci, shares insights on the groundbreaking role of AI in drug discovery. He discusses how the field has evolved, achieving unprecedented success rates. The conversation reveals how AI models differ from human chemists and the strategic choices behind open-sourcing foundational models. Meier also highlights Chai 2's innovative capabilities in testing biological hypotheses and the promising future of AI in revolutionizing therapeutic development and enhancing pharmaceutical innovation.
137 snips
Jul 22, 2025 • 51min
Ep 71: CEO of TurboPuffer Simon Eskildsen on Building Smarter Retrieval, AI App Must-Have Features & Current State of Vector DBs
In this discussion, Simon Eskildsen, the co-founder and CEO of TurboPuffer, shares his insights on the challenges and advancements in AI infrastructure. Drawing from his decade at Shopify, he highlights the limitations of traditional databases for AI applications. Simon introduces the SCRAP framework, emphasizing scale, cost, recall, and performance. He delves into the rise of object storage and the complexities of vector search technology, advocating for smarter retrieval systems to enhance data efficiency and performance.
68 snips
Jul 8, 2025 • 1h 10min
Ep 70: Karol Hausman and Danny Driess (Physical Intelligence) Unpack the Most Recent Breakthroughs & Path to Generalist Robots
In this insightful discussion, Karol Hausman, Co-founder and CEO of Physical Intelligence, and Danny Driess, Research Scientist, dive into the evolving realm of AI robotics. They share the transition from traditional coding to machine learning models capable of multitasking. Topics include robots folding laundry and the importance of effective data collection. They dissect the future potential of generalist robots and the challenges of integrating advanced models. Their conversation highlights the transformative impact of robotics on daily life and the importance of open-source collaboration.
128 snips
Jun 17, 2025 • 55min
Ep 69: Co-Founder of Databricks & LMArena on Current Eval Limitations, Why China is Winning Open Source and Future of AI Infrastructure
Ion Stoica, co-founder of Databricks and Anyscale, and founder of LMArena, dives into the intricacies of AI model evaluation. He reveals the shortcomings of traditional metrics and discusses new dynamic systems for assessing AI models. Stoica highlights the competitive edge China has in open-source AI, urging the need for collaboration in the tech landscape. The conversation also touches on the importance of human involvement in evaluations and the ongoing challenges in AI infrastructure and optimization, reflecting on the future of data and AI in enterprises.
112 snips
Jun 4, 2025 • 44min
Ep 68: CEO of Mercor Brendan Foody on Evals Replacing Knowledge Work, AI x Hiring Today & the Future of Data Labeling
Brendan Foody, the co-founder and CEO of Mercor, leads a pioneering company at the forefront of AI-native labor markets. He discusses the evolving landscape of AI in talent evaluation, emphasizing how AI can enhance hiring practices through improved candidate assessments. Brendan also shares insights on the future of data labeling and the skills needed to thrive in an AI-driven job market. Addressing the demand for software engineers and navigating the complexities of fundraising in tech, he provides a fascinating look at integrating AI into recruitment.
170 snips
May 27, 2025 • 44min
Ep 67: Max Junestrand (CEO, Legora) on Differentiating and Pricing AI Apps & How the Legal Industry Will Evolve
Max Junestrand, Founder and CEO of Legora, shares insights from his journey building an innovative AI platform for the legal industry. He discusses how AI is revolutionizing legal processes, making them more efficient and accurate. Key topics include strategies for scaling in global markets and the challenges of pricing AI applications. Max also reflects on essential lessons learned about adapting product strategies and fostering a fast-paced work culture, while emphasizing the need for law firms to embrace AI to stay competitive.
710 snips
May 22, 2025 • 58min
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, dives into the advancements of Claude 4 and its impressive coding capabilities. He discusses how AI agents are starting to transform research in fields like biology and robotics, emphasizing their role in automating white-collar jobs. Predictions include the timeline for original scientific contributions from AI. A fascinating look into the trust needed between AI models and human developers showcases the economic implications of integrating these agents into everyday workflows.
171 snips
May 14, 2025 • 1h 23min
Ep 65: Co-Authors of AI-2027 Daniel Kokotajlo and Thomas Larsen On Their Detailed AI Predictions for the Coming Years
In this engaging discussion, Daniel Kokotajlo, a former OpenAI researcher and AI alignment advocate, teams up with Thomas Larsen, co-author of the AI 2027 report. They dive into the urgent need for safe AI development, exploring the timeline of AI advancements, the growing tensions between the U.S. and China, and the critical risks of misaligned AI. The duo offers compelling predictions for 2027, emphasizes the importance of public awareness, and lays out essential policy recommendations to ensure a safer AI future.
420 snips
May 8, 2025 • 47min
Ep 64: GPT 4.1 Lead at OpenAI Michelle Pokrass: RFT Launch, How OpenAI Improves Its Models & the State of AI Agents Today
Michelle Pokrass, a key player in launching GPT-4.1 at OpenAI, delves into the intricacies of AI model development and evaluation. She discusses how user feedback fuels improvements and the evolving challenges in AI training. The conversation highlights the shift towards Reinforcement Fine-Tuning for personalized applications and the importance of balancing conversational abilities with problem-solving as we look towards future models. Her insights reflect a deep understanding of AI's potential and the organizational growth at OpenAI.
