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Training Data

Latest episodes

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12 snips
Dec 10, 2024 • 52min

XBOW CEO and GitHub Copilot Creator Oege de Moor: Cracking the Code on Offensive Security With AI

Oege de Moor, founder and CEO of XBOW, and creator of GitHub Copilot, dives into how AI is revolutionizing offensive security. He reveals that XBOW’s AI can outperform human penetration testers, completing security assessments in mere minutes. Oege discusses the proactive nature of this technology in uncovering vulnerabilities and adapting to evolving cyber threats. He also shares insights on innovative pricing strategies for continuous testing and highlights the broader implications of AI in various industries, sparking excitement for future innovations.
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109 snips
Dec 3, 2024 • 39min

Ramp CEO Eric Glyman: Using AI to Build “Self-Driving Money”

Eric Glyman, Co-founder and CEO of Ramp, shares his vision on transforming finance management with AI. He challenges the chatbot trend and advocates for 'zero-touch' automation—what he calls 'self-driving money'—to reduce tedious tasks. Glyman discusses how AI can operate invisibly for companies, unlocking time for meaningful work. He also emphasizes the need for a strong product culture and the evolving role of finance leaders in this tech-driven landscape. His insights reflect a groundbreaking approach to simplifying financial processes.
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45 snips
Nov 26, 2024 • 1h 3min

Dust’s Gabriel Hubert and Stanislas Polu: Getting the Most From AI With Multiple Custom Agents

Gabriel Hubert and Stanislas Polu, co-founders of Dust and former leaders at Stripe and OpenAI, discuss the need for multiple AI models to maximize efficiency. They highlight the importance of proprietary data combined with AI to enhance productivity and the challenges of integrating new technologies in organizations. The duo also delves into trends in the open-source AI landscape and the role of youth in driving technological innovation. Their insights emphasize the significance of keeping the human element in AI development.
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47 snips
Nov 19, 2024 • 52min

Clay’s Kareem Amin on Building the Sales ‘System of Action’ with AI

Kareem Amin, Founder and CEO of Clay, shares insights on how his AI-native application is transforming go-to-market teams. He discusses the delicate balance between creativity and automation, emphasizing the importance of personal connections in sales. Kareem highlights Clay's role in streamlining workflows and enhancing customer engagement, showcasing real-world examples of its impact. The podcast also dives into building a high-performing culture and the journey of democratizing tech for enhanced sales effectiveness.
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Nov 13, 2024 • 47min

Decart’s Dean Leitersdorf on AI-Generated Video Games and Worlds

Dean Leitersdorf, Dean of Decart and a PhD from Technion, explores the groundbreaking potential of AI in gaming and immersive experiences. He discusses the innovative Oasis platform, which enables real-time interactions in virtual worlds using AI instead of traditional engines. Dean shares insights on achieving vertical integration for competitive advantages and navigating challenges in training AI models. The conversation also touches on the transformative impact of AI in creative fields and the seamless connection between imagination and screen engagement.
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Oct 29, 2024 • 45min

How Glean CEO Arvind Jain Solved the Enterprise Search Problem – and What It Means for AI at Work

Arvind Jain, CEO and co-founder of Glean, previously contributed to Google Search and co-founded Rubric. In this discussion, he shares how Glean revolutionizes enterprise search despite complex user permissions. Arvind highlights the integration of generative AI to enhance knowledge work, emphasizing the significance of personalized searches. He introduces concepts like Retrieval-Augmented Generation and agentic reasoning, envisioning a future where AI assistants boost workplace productivity by transforming knowledge retrieval and collaboration.
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19 snips
Oct 22, 2024 • 42min

OpenAI Researcher Dan Roberts on What Physics Can Teach Us About AI

Dan Roberts, an OpenAI researcher and co-author of 'The Principles of Deep Learning Theory,' explores how theoretical physics can illuminate AI challenges. He discusses the influx of physicists in AI labs and suggests that deep learning models may offer insights similar to large physical systems. Dan emphasizes the importance of scaling laws and innovative architectures for AI's future. He also proposes a massive, collaborative initiative akin to the Manhattan Project to tackle AI advancements, blending humor with complex concepts to enhance understanding.
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26 snips
Oct 15, 2024 • 32min

Google NotebookLM’s Raiza Martin and Jason Spielman on Creating Delightful AI Podcast Hosts and the Potential for Source-Grounded AI

Discover the revolutionary capabilities of Google's NotebookLM, a viral AI that transforms research into engaging podcasts. Dive into the tool's unexpected moments of creativity, including amusing interactions around quirky topics. Learn how it optimizes workflows in sales teams, turning complex information into digestible audio. Explore the design strategies behind NotebookLM, focusing on user experience and collaboration. The future of AI-generated personalized podcast experiences is bright and filled with potential!
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12 snips
Oct 8, 2024 • 59min

Snowflake CEO Sridhar Ramaswamy on Using Data to Create Simple, Reliable AI for Businesses

Sridhar Ramaswamy, CEO of Snowflake and former leader of Google’s ads, shares insights on creating reliable AI for businesses. He highlights the magic and pitfalls of current language models, emphasizing Snowflake’s ability to achieve over 90% accuracy with their 'talk-to-your-data' applications. Ramaswamy contrasts this with typical off-the-shelf solutions, discusses the transformative potential of AI for enterprise operations, and reveals how his team simplifies complex data tasks to enhance usability for customers.
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46 snips
Oct 2, 2024 • 45min

OpenAI's Noam Brown, Ilge Akkaya and Hunter Lightman on o1 and Teaching LLMs to Reason Better

Noam Brown, a prominent researcher at OpenAI known for his deep reinforcement learning work, joins Ilge Akkaya and Hunter Lightman from the o1 research team. They discuss the innovative combination of LLMs and reinforcement learning, revealing how o1 excels in math and reasoning. Insights include the use of chains of thought and backtracking to enhance problem-solving. The team shares milestones like the success at the International Olympiad in Informatics and reflects on scaling challenges that may unlock even greater AI reasoning capabilities.

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