Unsupervised Learning with Jacob Effron
Unsupervised Learning with Jacob Effron probes the sharpest minds in AI to uncover what's real today, what will be real in the future, and what it all means for businesses and the world. Hosted by Redpoint investor Jacob Effron alongside Patrick Chase, Jordan Segall, and Erica Brescia, the podcast helps builders, researchers, and investors navigate the AI landscape. It is produced by Redpoint Ventures, an early-stage venture capital fund that has invested in companies like Snowflake, Stripe, and Mistral.
Episodes
AI Vibe Check: Lab Wars, Why APIs Might Vanish & Future Predictions
Six months after their last roundup, Jacob sits down with Ari Morcos (Datology AI CEO, former Meta AI researcher) and Rob Toews (Radical Ventures partner, Forbes AI columnist) to take stock of an AI landscape that has shifted dramatically: coding agents crossing the long-time-horizon threshold has turned engineers into managers of agents, near-frontier open weight AI looks like it may be disappear
Ep 89: AI Research Legend’s Honest Assessment of Where We Are
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
Ep 88: Unpacking DeepMind's Quest for SuperIntelligence with Demis Hassabis' Biographer
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 publis
Ep 87: Gemini Co-Lead on World Models, RL's Next Domains & Continual Learning
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
Ep 86: Yann LeCun on Leaving Meta, Breaking The LLM Paradigm, & Why Hinton is Wrong
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 they can't predict the consequences of their actions, can't plan, and fundamentally can't model the messy, high-dimensional real world. He unpacks his
Ep 85: Has AI Infra Stabilized, FM Vibe Shift, & What's Next for Coding Agents
This episode is a wide-ranging conversation between Jacob and Swyx (Shawn Wang), an AI engineer, podcaster, and now operator at Cognition, who sits at a uniquely informed intersection of builder, investor, and community organizer in the AI world. The two cover the current state of the AI engineering zeitgeist: from the stabilization of agent infrastructure and the surprising stickiness of Claude C
Ep 84: OpenAI’s Chief Scientist on Continual Learning Hype, RL Beyond Code, & Future Alignment Directions
Jakub Pachocki, OpenAI's Chief Scientist, sits down with Jacob to cover the full arc of where AI research stands today and where it's headed. The conversation spans the explosive growth of coding agents and what it signals about near-term AI capability, the use of math and physics benchmarks as proxies for general intelligence, how reinforcement learning is being extended beyond easily-verified do
Ep 83: Owning the System of Record, AI-Native Org Charts, & Why ITSM is The Most Vulnerable Legacy Category
Serval is one of the fastest-growing AI-native enterprise software companies right now, and this episode is a rare inside look at the deliberate architectural, go-to-market, and talent decisions behind that growth. Jake Stauch breaks down why he made the contrarian bet to build a full system of record rather than layer on top of existing tools, why ITSM is more vulnerable to AI disruption than CRM
Ep 82: Behind Legora's $550M Raise, Model Competition, Doubling Revenue Every Quarter, & US Expansion
Max Jungestål, CEO of Legora, joins Jacob Effron and Logan Bartlett to discuss the company's $550M Series D and share a candid account of what building an AI-native company at speed actually looks like from the inside.
Max argues that the AI application layer requires a fundamentally different operating model than traditional SaaS, one built on low ego, constant reinvention, and a willingness to w
Ep 81: Ex-OpenAI Researcher On Why He Left, His Honest AGI Timeline, & The Limits of Scaling RL
This episode features Jerry Tworek, a key architect behind OpenAI's breakthrough reasoning models (o1, o3) and Codex, discussing the current state and future of AI. Jerry explores the real limits and promise of scaling pre-training and reinforcement learning, arguing that while these paradigms deliver predictable improvements, they're fundamentally constrained by data availability and struggle wit
AI Vibe Check: The Actual Bottleneck In Research, SSI’s Mystique, & Spicy 2026 Predictions
Ari Morcos and Rob Toews return for their spiciest conversation yet. Fresh from NeurIPS, they debate whether models are truly plateauing or if we're just myopically focused on LLMs while breakthroughs happen in other modalities.They reveal why infinite capital at labs may actually constrain innovation, explain the narrow "Goldilocks zone" where RL actually works, and argue why U.S. chip restrictio
Ep 80: CEO of Surge AI Edwin Chen on Why Frontier Labs Are Diverging, RL Environments & Developing Model Taste
Edwin Chen is the founder and CEO of Surge AI, the data infrastructure company behind nearly every major frontier model. Surge works with OpenAI, Anthropic, Meta, and Google, providing the high-quality data and evaluation infrastructure that powers their models. Edwin reveals why optimizing for popular benchmarks like LMArena is "basically optimizing for clickbait," how one frontier lab's models
Ep 79: OpenAI's Head of Product on How the Best Teams Build, Ship and Scale AI Products
This episode features Olivier Godement, Head of Product for Business Products at OpenAI, discussing the current state and future of AI adoption in enterprises, with a particular focus on the recent releases of GPT 5.1 and Codex. The conversation explores how these models are achieving meaningful automation in specific domains like coding, customer support, and life sciences: where companies like A
Ep 78: Jordan Schneider, Host of China Talk, on AI Race, Key Policy Decisions & Unpacking Geopolitical Chip Tension
This week on Unsupervised Learning, Jacob Effron is joined by Jordan Schneider, host of China Talk, who challenges widespread assumptions about US-China AI competition. China's AI development is driven by private capital and market competition—not central government planning—with companies like DeepSeek, Alibaba, and ByteDance operating more like Silicon Valley startups than state projects. The cr
Ep 77: Anthropic’s Dianne Na Penn on Opus 4.5, Rethinking Model Scaffolding & Safety as a Competitive Advantage
This episode features Dianne Na Penn, a senior product leader at Anthropic, discussing the launch of Claude Opus 4.5 and the evolution of frontier AI models. The conversation explores how Anthropic approaches model development—balancing ambitious capability roadmaps with user feedback, making strategic bets on areas like agentic coding and computer use while deliberately avoiding others like image
Ep 76: Sora Creators Bill Peebles, Rohan Sahai & Thomas Dimson on Their Unexpected Viral Success
This episode features the core team behind Sora, OpenAI's groundbreaking video generation platform that became the #1 app in the App Store. Bill Peebles (research lead), Rohan Sahai (product lead), and Thomas Dimson (engineering/product lead with Instagram background) discuss the unexpected viral success of Sora's launch, the product journey that led to the breakthrough "cameo" feature (putting yo
AI Round Up: Ari Morcos from Datalogy AI and Rob Toews from Radical VC on Karpathy Reactions, OpenAI’s Dealmaking, & Bubble Reality Check
This episode features Rob Toews from Radical Ventures and Ari Morcos, Head of Research at Datology AI, reacting to Andrej Karpathy's recent statement that AGI is at least a decade away and that current AI capabilities are "slop." The discussion explores whether we're in an AI bubble, with both guests pushing back on overly bearish narratives while acknowledging legitimate concerns about hype and e
AI Round Up: Ari Morcos from Datalogy AI and Rob Toews from Radical VC on AI Talent Wars, xAI’s $200B Valuation, & Google’s Comeback
This episode features a deep dive into the current state of AI model progress with Ari Morcos (CEO of Datalogy AI and former DeepMind/Meta researcher) and Rob Toews (partner at Radical Ventures). The conversation tackles whether model progress is genuinely slowing down or simply shifting into new paradigms, exploring the role of reinforcement learning in scaling capabilities beyond traditional pre
Ep 75: Nano Banana’s Oliver Wang and Nicole Brichtova - Behind the Breakthrough as Gemini Tops the Charts
Fill out this short listener survey to help us improve the show: https://forms.gle/bbcRiPTRwKoG2tJx8This week on Unsupervised Learning, Jacob sits down with Nicole Brichtova and Oliver Wang, the Google researchers behind "Nano Banana" - the breakthrough AI image model that achieved unprecedented character consistency and took over social media.The conversation covers how their model fits into crea
Ep 74: Chief Scientist of Together.AI Tri Dao On The End of Nvidia's Dominance, Why Inference Costs Fell & The Next 10X in Speed
Fill out this short listener survey to help us improve the show: https://forms.gle/bbcRiPTRwKoG2tJx8 Tri Dao, Chief Scientist at Together AI and Princeton professor who created Flash Attention and Mamba, discusses how inference optimization has driven costs down 100x since ChatGPT's launch through memory optimization, sparsity advances, and hardware-software co-design. He predicts the AI hardware
Ep 73: General Partner of Felicis Peter Deng on on AI Pricing Tactics, Reaction to GPT-5 & Why Voice is Underrated
In this episode, Jacob sits down with Peter Deng, General Partner at Felicis and former Product Leader at OpenAI, Facebook, and Uber. Peter shares his insider perspective on building ChatGPT Enterprise in just seven weeks and leading voice mode development at OpenAI. The conversation covers everything from why traditional SaaS pricing models are broken for AI products to how evals became the new p
Ep 72: Co-Founder of Chai Discovery Joshua Meier on 99% Faster Drug Discovery, BioTech’s AlphaGo Moment, Building Photoshop for Molecules
In this episode, Jacob sits down with Joshua Meier, co-founder of Chai Discovery and former Chief AI Officer at Absci, to explore the breakthrough moment happening in AI drug discovery. They discuss how the field has evolved through three distinct waves, with the current generation of companies finally achieving success rates that seemed impossible just years ago. The conversation covers everythi
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/bbcRiPTRwKoG2tJx8In this episode, Simon Eskildsen, co-founder and CEO of TurboPuffer, lays out a compelling vision for how AI-native infrastructure needs to evolve in an era where every application wants to connect massive amounts of context to large language models. He breaks down why traditional databases and even
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
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
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 me
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 produ
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. (0:00) Intro(0:48) Claude 4(1:30) Capabilities and Improvements(2:29) Practical Applications and Ad
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
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 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 f
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 w
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
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. (0:00) Intro(0:39) AI Investment Landscape(1:30) Market Projections(3:25) Strategic Impe
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, wher
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. (0:00) Intro(0:53) OpenAI’s Vision for Consumer Interaction(4:51) Building Multi-Agent Systems f
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 ThinkingWe 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 wor
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 predic
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 fro
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.[0:00] Intr
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 shiftin
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.Follow SemiAnalysis: https://semianalysis.com/ [0:00] Intro[1:07] Grading the AI Diffusion Rule[3:48
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 multi-trillion-dollar potential of agentic technology, and what the future split between software and agentic revenue might look like. Marc also discusses why CEOs
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: [0:00] Intro[0:
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 on the AI landscape that is a must-listen. [0:00] Intro[1:06] Fireworks: Revolutionizing AI Inference[2:12] Challenges in AI Model Development[4:05] The Future
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 innovative test-time compute model.We discuss the technical breakthroughs that set o1 apart, its unique capabilities compared to previous models, and how it di
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 interact with AI – including the Advanced Voice feature in ChatGPT as well as applications like Character.ai, Spotify and many more. Russ talked about when voice makes
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 offer solutions even as the tech is rapidly evolving. [0:00] Intro[0:52] Incentives and Team Motivation at Databricks[2:40] The Evolution of AI Models: Transfor
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 past, present, and future of AI translation. Here were some standout moments: [0:00] Intro[0:38] The Rise of AI and DeepL's Journey[1:41] DeepL's Competitive Ed
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 languages. HeyGen now serves over 40,000 customers and is generating $35+ million in revenue. [0:00] Intro [0:37] HeyGen's Viral Moments [1:23] Creating Magic with
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 explored the evolution of AI from simple token prediction to autonomous agents capable of long-term problem-solving, the problem of interpretability, and the future of
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 use cases. Before Contextual he was the head of research at Hugging Face, worked on the Facebook AI research team (i.e. Llama) and remains a professor at Stanfor
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, with a current valuation of $13B. Rahul believes AI will enable everyone to focus on more meaningful, creative interactions by automating the "drudgery" of daily t
Bonus Episode: Trunk Tools CEO Sarah Buchner is Building Trunk Tools to Simplify the $13T Construction Industry
Sarah Buchner is the Founder and CEO of Trunk Tools (https://trunktools.com/). She is a one-of-a-kind founder, having spent her young life as a carpenter in Austria and then working her way up the ranks of the construction industry. She’s also earned several graduate degrees including an MS in Civil Eng, a PHD in Data Science and an MBA from Stanford.Trunk Tools is an AI Tool for the $13T construc
Ep 41: Head of AI at Snowflake Baris Gultekin on Why They Built Their Own LLM, Governance as a Moat, and the Most Common Enterprise Use-Cases
Snowflake sits in a unique position in the AI landscape: They enable fast, secure, and scalable proprietary data access for thousands of customers, many of whom are building AI tools. They also maintain their own suite of AI products, increasing the utility of their platform and empowering customers who may not have the resources to build their own.That’s why it was so fascinating to speak with Ba
Ep 40: CEO of Speak.com Connor Zwick on How AI Will Change the Way we Learn
We’re excited to bring you Connor Zwick, CEO and cofounder of Speak, on the podcast this week! Speak helps people learning a language have conversations with an AI speaking partner, which is critical to gaining fluency. It’s backed by OpenAI and most recently raised at a $500M valuation. Since launching in its inaugural market of South Korea in 2019, Speak has grown to over 10 million users and no
Ep 39: Github CEO Thomas Dohmke on Building Copilot, Scaling to 1.2M Users and the Future of Code
It was very special to have Github CEO Thomas Dhomke on the pod for many reasons, not the least of which is that my partner Erica Brescia was COO at Gitlab just before joining Redpoint! Thomas has been at Github for almost 6 years, and has been CEO for almost 3 of those years. He has a pulse on what engineers around the world are looking for from the world’s leading developer platform, and incredi
Ep 38: Runway CEO Cristobal Valenzuela on the Next Frontiers for AI Media and The Role of Human Taste in AI Filmmaking
Cris is the co-founder and CEO of Runway, which builds breathtakingly real video AI tools, including the incredible Gen-3 Alpha foundation model. Cris sits right at the intersection of technology and creativity, and in 2023 was named to TIME’s 100 Most Influential People in AI. Runway is reported to be in talks to raise capital at a $4 Billion valuation. (0:00) intro(0:37) how early are we in the
Ep 37: Co-Founder and CEO of Fireflies.ai Krish Ramineni on How AI Catalyzed Fireflies to 16M Users
According to Ramp’s (ramp.com) quarterly spend report, Fireflies was the 4th highest AI platform by spend. With over 300,000 customers worldwide and 16M users, Fireflies.ai is operating at some of the largest scale amongst AI companies today. This week on Unsupervised Learning we had Krish Ramineni, Co-founder & CEO of Fireflies on to talk about how he sees AI changing the way we work and conduct
Ep 36: Adobe CPO Scott Belsky on How AI Will Transform Creative Workflows
Scott Belsky is the founder of Behance, a creative platform sold to Adobe in 2012. He’s since gone on to take on the role of Chief Product Officer at Adobe leading design for all products across Creative Cloud, Document Cloud and the Digital Experience business. This week on Unsupervised Learning Scott shares his thoughts on the future of creative tools with AI, a future where hyper-personalizatio
Ep 35: CEO of Suno Mikey Shulman on Future of Music with AI, Tactics for Model Eval and Solving the Blank Canvas Problem
Last week, Suno announced $125M in funding, marking a significant milestone in their journey to reshape the music creation landscape. On this week's episode of Unsupervised Learning, we caught up with Suno's founder, Mikey Shulman, to dive into their approach to multiplayer music collaboration, how they got Suno to be so fast and the future of digital concerts (and workshopped new intro music for
Ep 34: Eric Ries and Jeremy Howard (Answer.ai) on the Biggest Mistakes AI Founders are Making and Building the Bell Labs of AI
In this week’s episode of Unsupervised Learning, we delve into the forefront of AI innovation with Eric Ries and Jeremy Howard. Eric Ries, renowned for pioneering the Lean Startup movement, has consistently influenced modern entrepreneurial strategies with his emphasis on agile, sustainable growth through innovation. Jeremy Howard is known for his contributions to deep learning and data science, c
Bonus Episode: Sam Altman (CEO, OpenAI) Talks GPT-4o and Predicts the Future of AI
In this cross-over episode, Sam Altman sat down with Logan on the day of the ChatGPT-4o announcement to share behind-the-scenes details of the launch and offer his predictions for the future of AI. Altman delves into OpenAI’s vision, discusses the timeline for achieving AGI, and explores the societal impact of humanoid robots. He also expresses his excitement and concerns about AI personal assista
Ep 33: CTO and Co-Founder of Sourcegraph on Current Landscape and Future of Software Development, How to Make RAG Better, and Building Towards the Agentic Future
On this week’s Unsupervised Learning, Pat and I sat down with CTO and Co-Founder of Sourcegraph, Beyang Liu. Sourcegraph is a leader in the AI coding space, and recently launched AI coding assistant, Cody. Beyang shared with us his view on the current landscape of AI coding and the future of coding and software development. He also shared how Sourcegraph has tried to make RAG better, and their mod
Ep 32: CEO and Founder of Pinecone Edo Liberty on Pioneering Vector Databases, Barriers to Productionalizing Models and Why What’s Happening with GPUs is Not Sustainable
Pinecone has raised over $130 million and was most recently valued at $750 million. On this week’s Unsupervised Learning, we sat down with CEO and Founder of Pinecone, Edo Liberty. Pinecone is arguably one of the most important elements in today's modern datastack. Edo shared with us the most common use cases of Pinecone, the evolving landscape of vector databases, challenges in building vector da
Ep 31: CEO and Co-Founder of Mistral Arthur Mensch on the Next Frontiers for LLMs, Why Open Source Will Prevail and AI Safety
Mistral AI is often seen as the startup challenging OpenAI and incumbents developing LLMs. On this week’s episode of Unsupervised Learning, we sat down with CEO and Co-Founder at Mistral AI, Arthur Mensch. Arthur shared with us his view on why open-source will prevail, how Mistral gets LLMs into the hands of enterprises, the build vs. partnership decisions, the competitive landscape and future of
Ep 30: Superhuman CEO Rahul Vohra on the Future of Email with AI and the Role Agents Will Play
Superhuman recently launched AI-powered Summarize and Instant Reply features, and has since processed 4 billion emails. On this week’s episode of Unsupervised Learning, we sat down with CEO and Founder at Superhuman, Rahul Vohra. Rahul shared with us what email will look like in the future, the internal product design decisions in building Summarize and Instant Reply, why he’s bullish on the agent
Ep 29: Salesforce AI CEO Clara Shih on Future of Slack, How Gucci Uses AI and Working with Marc Benioff
There’s an ongoing debate about where the most value will accrue in AI between incumbents and startups. Of the incumbents, few have shipped product faster than SalesforceAI. Today on Unsupervised Learning we had on Clara Shih, CEO of SalesforceAI and one of Time Magazine’s 100 Most Influential People in AI. (0:00) intro(0:50) work practices that will become irrelevant(1:37) revolutionizing reply
Ep 28: LangChain CEO Harrison Chase on the Current State of Eval and Agents and The LLM Apps that Will Define 2024
Last week LangChain announced a $20M Series A led by Sequoia and released the paid version of LangSmith, which has already been used by 1K+ teams and driven 80K signups. On this week’s episode of Unsupervised Learning, we sat down with LangChain Co-Founder and CEO Harrison Chase to talk about the current state of LLM evaluation, observability, and the agent landscape. (0:00) intro (1:07) applicati
Ep 27: Oscar Co-Founder Mario Schlosser on How LLMs Can Be Used in Healthcare Today and The Path to AI Doctors
Oscar Health is a $4B public healthcare company, providing healthcare insurance to nearly 1 million members. Oscar is at the forefront of AI adoption, continuously developing new AI use cases in healthcare. On this week’s episode of Unsupervised Learning, we sat down with Oscar Health Co-Founder, former CEO, and now President of Technology Mario Schlosser to talk about where AI will have the bigge
Ep 26: Replit Founder Amjad Masad on the 1000x Engineer, ChatBots are Overhyped and Why We Don’t Really Have True Open-Source Models
Replit raised nearly $100M at $1.2B valuation last April and powers over 20M developers. On this week’s episode of Unsupervised Learning, we sat down with Replit Founder and CEO Amjad Masad to talk about the future of software development, how Replit is empowering young users, how Replit developed its own models, and the data advantage Replit has. Amjad also shared his takes on why he’s bullish on
Ep 25: Intercom Co-Founder Des Traynor on Building Winning AI Strategy and Where We Are in the AI Adoption Curve
Intercom is one of the earliest adopters of AI - its AI product Fin has generated over two million answers and been used by thousands of users since it was launched last March. On this week’s episode of Unsupervised Learning, we sat down with Intercom Co-Founder and Chief Strategy Officer Des Traynor to talk about how AI is incorporated into Intercom, structuring its AI team, using RAG vs. fine-tu
Ep 24: OpenAI Head of DevRel Logan Kilpatrick on The Best ChatGPT Use Cases, Future of Agents, and Google Gemini
OpenAI's inaugural DevDay sparked excitement in the AI community, with several product releases and ChatGPT hitting the milestone of reaching 100M weekly active users. On this week’s episode of Unsupervised Learning, we sat down with the Head of Developer Relations at OpenAI, Logan Kilpatrick. Logan shared with us how OpenAI prioritizes product builds internally, the interesting use cases he's see
Ep 23: Perplexity CEO Aravind Srinivas on the future of Search, OpenAI Wrappers and Using AI to Talk to Loved Ones
Perplexity is a next-gen search tool going after Google, with 1M Android app installs and 1M iOS installs within only 8 months of product launch. On this week’s episode of Unsupervised Learning, we sat down with the CEO and Co-Founder of Perplexity AI, Aravind Srinivas. Aravind shared with us the behind-the-scenes stories of how Perplexity AI was born (37:19), how he thinks about Perplexity being
Special Episode: A Full Breakdown of the OpenAI Saga and What It Means for AI Founders
In light of one of the biggest news stories in AI, we’ve put together a special episode to discuss the ramifications of Sam Altmans’ firing from OpenAI. Regardless of what happens between now and when you’re listening to this, the implications of the events that happened over the past few days are certainly worth unpacking. About our guests: Alex Konrad, a journalist at Forbes covering Venture Cap
Ep 22: Notion AI Engineer Linus Lee: Behind the Scenes of Notion AI
Linus Lee is an AI engineer at Notion, one of the earliest and most effective adopters of AI. In the episode, Linus shares how Notion developed its AI products, including Writer, Autofill, and Q&A, which just launched on Tuesday. It was fascinating to learn how Notion structures its AI team and dogfoods its development process. Linus also explores the hardest to anticipate when going to market wit
Ep 21: Modal CEO Erik Bernhardsson on Bringing Development to the Cloud, the GPU Market, and GenAI Music
Jacob and Pat sit down with Erik Bernhardsson, the founder of Modal Labs, a data infrastructure company providing GPU compute to data teams. On this episode we discussed Erik’s thoughts on the AI chip market, the most popular GenAI use cases on Modal, and even Oracle Cloud’s resurgence in the AI start-up market. 0:00 intro0:45 motivation for founding Modal6:35 advantages that Modal gives developer
Ep 20: Anthropic CEO Dario Amodei on the Future of AGI, Leading Anthropic, and AI Doom Chances
Special Crossover Episode: We're excited to share this conversation from "The Logan Bartlett Show," another Redpoint podcast that focuses on untold stories from tech's inner circle. In the episode, Logan Bartlett interviews Dario Amodei (CEO, Anthropic) on the future of AI.In the episode, Dario gives detailed predictions on the AI industry for 2024, 2025, and beyond. He discusses his days at OpenA
Ep 19: Tome CEO Keith Peiris on Disrupting Powerpoint and Scaling To Millions of Users
Jacob and Pat sit down with Tome Co-Founder and CEO Keith Peiris to discuss Tome’s go-to market strategy, deciphering through the “AI tourists” to identify their ideal customer profile (ICP), and the different hardware cost considerations when reaching enterprise scale. 0:00 intro1:35 founding Tome5:05 designing Tome10:30 how users want to interact with AI12:26 teaching users how to use Tome20:13
Ep 18: LlamaIndex CEO Jerry Liu on Trends in LLM Applications
Jacob and Pat sit down with LlamaIndex CEO Jerry Liu to discuss his motivations for building LlamaIndex, thoughts on building enterprise-ready LLM applications and agents, and when fine-tuning makes sense. 0:00 intro1:02 the evolution of LlamaIndex3:48 apps being built with LlamaIndex6:39 making agents more effective12:58 retrieval augmented generation16:49 what’s the right level of abstraction fo
Ep 17: Nomic AI Co-Founder Andriy Mulyar on "GPT-4-All", LLMs in Video Games, and Apple's AI Strategy
Jordan and Erica sit down with Andriy Mulyar, Founder & CTO of Nomic AI, and discuss his motivation for creating GPT4ALL, the importance of data-centric AI, the use of LLMs in video games, and which technology companies are well positioned to “win” in the GenAI market long term. 0:00 intro0:59 getting into AI and meeting Brandon2:27 starting Nomic7:43 how people are using Atlas10:31 hallucinations
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