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Ep 71: CEO of TurboPuffer Simon Eskildsen on Building Smarter Retrieval, AI App Must-Have Features & Current State of Vector DBs
Fill out this short listener survey to help us improve the show: https://forms.gle/bbcRiPTRwKoG2tJx8 In this episode, Simon Eskildsen, co-founder and CEO of TurboPuffer, lays out a compelling vision for how AI-native infrastructure needs to
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 progre
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
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-dri
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 su
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 r
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 Fut
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 a research team at OpenAI within post-training focused on improving models for power users: developers using OpenAI models in the API and power users in ChatGPT. We unpack how Ope
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 d
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 wo
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 ar
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
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 sho
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’
Ep 57: Former CTO of Meta Mike Schroepfer on the Path to Powering the AI Revolution
On today’s Unsupervised Learning, Mike Schroepfer (https://www.linkedin.com/in/schrep/) (ex-CTO of Meta and founder of Gigascale Capital (https://www.linkedin.com/company/gigascale/)) reveals why energy is a key bottleneck holding AI progre
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, Phoe
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.
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 overbl
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
Ep 52: Marc Benioff Responds to Satya and Unpacks the Agentic Era
In this cross-over episode with The Logan Bartltett Show, Marc Benioff (CEO, Salesforce) responds to Satya Nadella’s recent predictions and shares his thoughts on the current reality of Agi. He dives into the rise of digital labor, the mult
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
Ep 50: Fireworks CEO Lin Qiao on Why There Won’t be a Single Model, Will Hyperscalers Win Inference & AI Use-cases with PMF
Lin Qiao, the co-founder of Fireworks.ai, sits down for a deep dive into the future of AI. Lin ran the PyTorch team at Meta, which developed some of the most fundamental open-source AI software in use today. She’s got a riveting perspective
Ep 49: OpenAI Researcher Noam Brown Unpacks the Full Release of o1 and the Path to AGI
Noam Brown, renowned AI researcher and key figure at OpenAI, joins us for a deep dive into the o1 release. Recorded just one day before o1’s full public debut, this episode explores the groundbreaking advancements and challenges behind this
Ep 48: Co-Founder/CEO of LiveKit Russ d'Sa on the Best ChatGPT Voice Use-Cases, New UX Paradigms in AI, and When Voice Makes Sense
For this episode of Unsupervised Learning we spoke with Russ d'Sa, co-founder of LiveKit, a company at the forefront of voice AI technology. Russ thinks of LiveKit as a “nervous system,” powering the sensory interfaces humans use to interac
Ep 47: Chief AI Scientist of Databricks Jonathan Frankle on Why New Model Architectures are Unlikely, When to Pre-Train or Fine Tune, and Hopes for Future AI Policy
Jonathan Frankle is the Chief AI Scientist at Databricks ($43B), which he joined through the acquisition of MosaicML in July 2023. Databricks has over 12,000 customers on the cutting edge of AI; Jonathan works to anticipate their needs and
Ep 46: CEO of DeepL Jarek Kutylowski on Specialized vs. General Models, Beating Google and a Future with Synchronous Translation
I sat down with DeepL cofounder Jarek Kutylowski. DeepL is a comprehensive Language AI platform that enables organizations to communicate effectively across languages, cultures, and markets. Jarek shared a treasure trove of insights on the
Ep 45: Founder & CEO of HeyGen Josh Xu on TikTok’s GenAI Dilemma, Trust and Safety and the Path to Interactive Avatars
Joshua Xu is co-founder and CEO of HeyGen -- the fast-growing AI video creation and translation platform. You can upload a video, or create a new one from a script using an AI avatar as your star, and HeyGen will translate it into 175 langu
Ep 44: Co-Founder of Together.AI Percy Liang on What’s Next in Research, Reaction to o1 and How AI will Change Simulation
Percy Liang is a Stanford professor and co-founder of Together AI, driving some of the most critical advances in AI research. Percy is also a trained classical pianist, which clearly influences the way he thinks about technology. We explore
Ep 43: CEO/Co-Founder of Contextual AI Douwe Kiela Reaction to o1, What’s Next in Reasoning and Innovations in Post-Training
Douwe’s contributions to AI are truly a part of its bedrock foundations. He wrote the first paper on retrieval-augmented generation (RAG) and has raised over $100 million to help enterprises build contextual language models that fit their u
Ep 42: CEO of Grammarly Rahul Roy-Chowdhury on the Future of Communication, Impact of LLMs and How Grammarly Does Eval
If you don’t know Grammarly, it’s a personalized AI assistant for writing that has over 30 Million Daily Active Users. Grammarly has been building AI productivity tooling long before the most recent GenAI wave and has raised over $400M, wit
