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
Apr 30, 2024 • 1h 37min
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
CTO and Co-Founder of Sourcegraph, Beyang Liu, discusses AI coding, making RAG better, and building towards an agentic future. They cover AI products in Sourcegraph, the current state of AI coding, customizing RAG, and the future of engineers. Liu shares insights on inference cost, evaluating products, and surprises in their journey.
4 snips
Apr 16, 2024 • 1h 1min
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
CEO and Founder of Pinecone, Edo Liberty, discusses the evolving landscape of vector databases, challenges in building them, painful serverless model launch, common Pinecone use cases, and targeting areas for AI startups. Exploring image/video applications, myth-busting about Pinecone, and surprises in building the platform.
13 snips
Mar 28, 2024 • 40min
Ep 31: CEO and Co-Founder of Mistral Arthur Mensch on the Next Frontiers for LLMs, Why Open Source Will Prevail and AI Safety
CEO of Mistral AI, Arthur Mensch, discusses open-source vs closed-source models, partnership strategy, next frontiers for LLMs, AI regulation, and global language diversity. They touch on Mistral's origins, releasing Le Chat, and the hype around AI advancements in material science.
68 snips
Mar 19, 2024 • 1h 12min
Ep 30: Superhuman CEO Rahul Vohra on the Future of Email with AI and the Role Agents Will Play
Rahul Vohra, CEO of Superhuman, discusses the future of email with AI and the role of agents. Topics include design decisions, personalizing email voices, competing with incumbents, and the evolving nature of work. Exploring AI features, model selection, and collaborations with OpenAI. Also, delves into the significance of email in work environments compared to platforms like Slack, potential AI-driven agents for task organization, and tech partnerships in robotics and biology.
31 snips
Mar 6, 2024 • 53min
Ep 29: Salesforce AI CEO Clara Shih on Future of Slack, How Gucci Uses AI and Working with Marc Benioff
AI CEO Clara Shih discusses Salesforce's rapid product development, Gucci's AI adoption, future of Slack, and working with Marc Benioff. Topics include reply recommendations, AI costs, unique brand voices, and AI incumbents vs. startups
88 snips
Feb 20, 2024 • 1h 5min
Ep 28: LangChain CEO Harrison Chase on the Current State of Eval and Agents and The LLM Apps that Will Define 2024
LangChain CEO Harrison Chase discusses AI evaluation, agent landscape, open vs. closed source models, and future of AI applications. Topics include LangSmith, AI in sports, evaluation practices, and the potential of open-source models. The podcast also explores the current AI landscape, deploying LangChain applications with LangServe, and the evolution of more complex chatbots.
Feb 13, 2024 • 1h 4min
Ep 27: Oscar Co-Founder Mario Schlosser on How LLMs Can Be Used in Healthcare Today and The Path to AI Doctors
Oscar Health Co-Founder Mario Schlosser discusses the impact of AI in healthcare, top AI use cases at Oscar, adoption challenges, and limitations of GPT-4 in healthcare. He also shares his views on open-source vs. off-the-shelf vs. healthcare-specific LLMs and why we can't have robot doctors today.
Feb 6, 2024 • 1h 10min
Ep 26: Replit Founder Amjad Masad on the 1000x Engineer, ChatBots are Overhyped and Why We Don’t Really Have True Open-Source Models
Amjad Masad, Co-Founder of Replit, discusses the future of software development, Replit's data advantage, and empowering young coders. Topics include AI capabilities, best data for models, educating users, building in-house models, and the overhype of chatbots. They also touch on Microsoft's potential partnership with Open AI, the shrinking of companies in the future, and the importance of hands-on coding learning.
Jan 24, 2024 • 57min
Ep 25: Intercom Co-Founder Des Traynor on Building Winning AI Strategy and Where We Are in the AI Adoption Curve
Des Traynor, Co-Founder and Chief Strategy Officer of Intercom, discusses how AI is incorporated into Intercom products, structuring AI teams, using RAG vs. fine-tuning techniques, solving the 'actions' problem, lessons learned from transitioning into AI, over-hyped/under-hyped AI, and companies that have implemented AI well/poorly.
34 snips
Jan 9, 2024 • 1h 7min
Ep 24: OpenAI Head of DevRel Logan Kilpatrick on The Best ChatGPT Use Cases, Future of Agents, and Google Gemini
Logan Kilpatrick, Head of Developer Relations at OpenAI, shares insights on OpenAI's product builds, underrated OpenAI products, the need for custom models, text-to-speech models, benefits of open-source models, Google Gemini, limitations on agents, future of DALL-E and art generation, and OpenAI's team development.
