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
222 snips
Dec 18, 2024 • 1h 8min
Ep 51: Former Chief Research Officer of OpenAI Bob McGrew - What Comes Next for AI?
In this engaging discussion, Bob McGrew, the former Chief Research Officer at OpenAI, shares his rich background in AI and product management. He delves into the future of AI, covering the integration of robotics into daily life and the challenges of AI pre-training. McGrew also emphasizes the importance of human oversight in AI systems, the role of game theory in social sciences, and his reflections on transitioning from OpenAI while nurturing future talent. His insights reveal the evolving landscape of AI and its potential impact on our world.
53 snips
Dec 16, 2024 • 56min
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, co-founder and CEO of Fireworks.ai and former PyTorch leader at Meta, shares her insights on the future of AI. She discusses the shift toward compound AI systems and the evolving landscape of inference models. Lin highlights the importance of customization, human involvement in AI processes, and the benefits of running smaller models locally for cost and privacy. She also explores the competitive dynamics between in-house and open-source models, and the need for effective evaluation strategies as AI continues to transform industries.
159 snips
Dec 6, 2024 • 47min
Ep 49: OpenAI Researcher Noam Brown Unpacks the Full Release of o1 and the Path to AGI
Noam Brown, renowned AI researcher at OpenAI and key developer behind the o1 model, discusses groundbreaking advancements in AI. He dives into the unique capabilities of the o1 release, exploring how it surpasses previous models. Brown shares insights on scaling AI, economic realities, and the future of AGI. He highlights the exciting use cases for specialized AI tools and the transformative role of AI in social science research. Listeners will gain a deep understanding of the innovative shifts occurring within the AI landscape.
23 snips
Nov 19, 2024 • 45min
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
In this conversation with Russ d'Sa, co-founder and CEO of LiveKit, he reveals how voice AI technology serves as the "nervous system" behind applications like ChatGPT Voice. He discusses when voice interfaces make sense and the exciting new UX paradigms emerging in AI. Russ also explores the impact of voice AI in workplaces, the integration challenges with customer support, and the fascinating intersection of voice tech and robotics. Discover how these innovations are shaping future communication and user experiences!
17 snips
Nov 12, 2024 • 1h 4min
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, Chief AI Scientist at Databricks, brings deep insight into the fast-paced world of AI. He discusses the evolution of AI models, favoring transformers over LSTMs, and shares strategic insights from the merger of Mosaic and Databricks. Frankle emphasizes the importance of effective AI evaluation benchmarks and customer collaboration in developing AI solutions. Ethical considerations and responsible AI policy also take center stage, as he highlights the need for transparency and community engagement in the rapidly evolving landscape.
42 snips
Oct 29, 2024 • 56min
Ep 46: CEO of DeepL Jarek Kutylowski on Specialized vs. General Models, Beating Google and a Future with Synchronous Translation
Jarek Kutylowski, Co-founder and CEO of DeepL, provides a captivating glimpse into the evolution of AI translation. He shares insights on how specialized models are outperforming general ones, highlighting DeepL's competitive edge in the market. The discussion delves into the intricacies of real-time translation, exploring its implications for global business. Jarek also addresses the vital role of human translators and data labeling, as well as the future trends in AI that will reshape communication and community engagement in various sectors.
8 snips
Oct 15, 2024 • 52min
Ep 45: Founder & CEO of HeyGen Josh Xu on TikTok’s GenAI Dilemma, Trust and Safety and the Path to Interactive Avatars
Josh Xu, co-founder and CEO of HeyGen, shares insights into his cutting-edge AI video creation platform that's revolutionizing content generation. He discusses HeyGen's rapid growth and innovative use of personalized avatars, enabling users to create videos in multiple languages. The conversation dives into the ethical considerations of AI, focusing on trust and safety measures. Xu also explores the competitive landscape in AI-driven video tools, emphasizing the importance of user engagement and the future potential of personalized content creation.
16 snips
Oct 3, 2024 • 1h 6min
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, a Stanford professor and co-founder of Together AI, dives into the fascinating evolution of AI from simple token prediction to complex autonomous agents. He discusses the challenges of AI safety and interpretability, emphasizing a holistic approach to mitigating risks. The conversation also touches on generative agents in simulations, their potential in social dynamics, and the importance of evaluating AI systems with new methodologies. Plus, Liang shares insights into AI's future role in fields ranging from education to music, showcasing the technology's transformative power.
55 snips
Sep 18, 2024 • 57min
Ep 43: CEO/Co-Founder of Contextual AI Douwe Kiela Reaction to o1, What’s Next in Reasoning and Innovations in Post-Training
Douwe Kiela, CEO of Contextual AI and former head of research at Hugging Face, shares his insights into the future of AI and the evolution of retrieval-augmented generation. He discusses the balance between model complexity and latency in enterprise deployments, emphasizing a systems-based approach. Douwe highlights the importance of collaboration between academia and industry and addresses the challenges of building contextual models. The dialogue touches on innovations in reinforcement learning and the potential of personalized AI experiences for various industries.
21 snips
Sep 6, 2024 • 51min
Ep 42: CEO of Grammarly Rahul Roy-Chowdhury on the Future of Communication, Impact of LLMs and How Grammarly Does Eval
Rahul Roy-Chowdhury, CEO of Grammarly, shares his insights on the exciting intersection of AI and communication. He discusses how AI can automate tedious tasks, allowing for deeper, more meaningful interactions. Rahul emphasizes the evolution of Grammarly and its role in refining large language models to enhance user communication. He explores the impact of generative AI in enterprises and education while addressing the competitive landscape and future prospects of AI technology. The conversation offers a glimpse into the transformative potential of AI in daily communication.
