Training Data

Sequoia Capital
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314 snips
Feb 25, 2025 • 33min

OpenAI’s Deep Research Team on Why Reinforcement Learning is the Future for AI Agents

Isa Fulford and Josh Tobin, product leads at OpenAI, dive into the groundbreaking capabilities of the Deep Research agent. They discuss how this technology revolutionizes AI by training models end-to-end without traditional coding. The duo emphasizes the importance of high-quality training data and the o3 model's reasoning skills, enabling it to streamline complex tasks and enhance productivity. They explore how Deep Research can transform knowledge work and highlight the growing role of reinforcement learning in AI's future.
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71 snips
Feb 18, 2025 • 1h

Palo Alto Networks’ Nikesh Arora: AI, Security and the New World Order

Nikesh Arora, CEO of Palo Alto Networks and former Google and SoftBank executive, dives into the complexities of AI and cybersecurity. He discusses the urgent need for better controls to handle AI threats and emphasizes the shift from prevention to real-time detection. Arora highlights the vulnerabilities of AI models and the importance of balancing innovation with responsibility in security. He also touches on the evolving role of CISOs and the challenges legacy companies face against more agile startups, all while navigating the exciting intersection of sports and business.
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35 snips
Feb 13, 2025 • 44min

MongoDB’s Sahir Azam: Vector Databases and the Data Structure of AI

Sahir Azam, a product and growth leader at MongoDB, discusses the evolution of vector databases and their critical role in AI applications. He explores how the combination of vectors, graphs, and traditional data structures enhances software development and supports advanced AI capabilities. Azam shares insights from MongoDB’s cloud transformation and advocates for democratizing AI development, making sophisticated tools accessible to mainstream developers. He also highlights innovative applications of AI in robotics and the automotive and pharmaceutical industries.
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28 snips
Feb 4, 2025 • 55min

Roblox Studio Head Stef Corazza: Using AI to Empower Creators

Stef Corazza, who leads generative AI development at Roblox and has a background in Adobe's 3D and AR platforms, discusses the revolutionary impact of AI on game development. He highlights the creation of the Roblox Assistant, aimed at simplifying programming through natural language. Stef shares insights on maintaining civility within the community while empowering millions of creators. He also explores the potential of AI in enhancing gameplay with user-generated content and emphasizes the unique support Roblox provides to its developers.
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53 snips
Jan 28, 2025 • 52min

ReflectionAI Founder Ioannis Antonoglou: From AlphaGo to AGI

Ioannis Antonoglou, a founding engineer at DeepMind and co-founder of ReflectionAI, shares his journey in developing groundbreaking AI technologies like AlphaGo. He discusses pivotal moments in the legendary match against Lee Sedol, the role of self-play in advancing AI, and the engineering challenges faced in creating AlphaGo. The conversation explores the evolution toward artificial general intelligence, including innovations like AlphaZero and MuZero, and highlights the importance of planning and scaling in tackling real-world problems.
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22 snips
Jan 21, 2025 • 52min

Kumo’s Hema Raghavan: Turning Graph AI into ROI

Hema Raghavan, co-founder and head of engineering at Kumo AI, previously led AI initiatives at LinkedIn, including the iconic 'People You May Know' feature. In this conversation, she unveils how graph neural networks (GNNs) revolutionize automated machine learning by transitioning from CPU to GPU. Hema explains how GNNs enhance recommendation systems, simplifying feature engineering and adapting to user preferences. She also discusses the transformation of relational data into graph formats and the critical role of explainable AI in advancing technology.
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19 snips
Jan 14, 2025 • 1h

Databricks Founder Ion Stoica: Turning Academic Open Source into Startup Success

Ion Stoica, co-founder of Databricks and Anyscale, is a renowned professor at UC Berkeley who revolutionized the AI landscape with Spark and Ray. He shares how strategic partnerships, especially with Microsoft, fuelled Databricks' growth. Stoica emphasizes the necessity of identifying future challenges and building solutions that matter tomorrow. He offers insights on cultivating innovation through academia-industry collaboration and the vital role of transparency and control in enterprise data needs.
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33 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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127 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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89 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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