Training Data

Patrick Hsu, co-founder of Arc Institute and a pioneer in genome editing and CRISPR technologies, shares insights on merging AI with biology. He discusses Evo 2, a groundbreaking model that analyzes genomic data to identify disease-causing mutations and design new biological systems. Patrick highlights the transformative potential of AI in drug discovery, emphasizing collaboration between academia and industry. He also explores the gut-brain connection and advocates for holistic health approaches, illustrating how AI can personalize medicine and enhance wellness.

Amjad Masad, the CEO and founder of Replit, a platform empowering a billion software creators, dives into his vision of accessible programming for all. He discusses how LLMs could revolutionize the developer landscape, enhancing productivity and social impact. Masad shares his journey from programming in Jordan to leading a tech company in Silicon Valley. He also reflects on the delicate balance of innovative management and the importance of diverse talent in tech. The conversation touches on the optimistic potential of AI, emphasizing empowerment over replacement.

Christopher O’Donnell, Founder of Day.ai and former Chief Product Officer at HubSpot, discusses the transformative power of AI in CRM. He shares insights on overcoming common CRM issues like data silos and complex workflows. O’Donnell explains how Day.ai's approach captures customer context effortlessly, enhancing user engagement. He reflects on building HubSpot’s CRM, emphasizing the need for a careful, quality-focused development process. The conversation highlights revolutionary strategies and the ethical considerations in AI-driven product evolution.

Filip Kozera, co-founder of Wordware, inspires a new generation of 'word artisans' by bridging human creativity and AI development. He draws fascinating parallels between Excel's democratization of data analytics and Wordware's mission. The discussion dives into using natural language as a programming tool, emphasizing effective communication to enhance AI control. Filip envisions a future where unstructured data fosters creativity, and tools like Lovable and Gemini enhance productivity. Excitingly, he hints at innovations like the Limitless pendant for personalized AI experiences.

Josh Woodward, VP of Google Labs, leads teams at the forefront of AI innovation. He discusses the rapid development of tools, with AI now writing 25% of Google’s code. Woodward emphasizes the need for taste and design in AI products and the importance of evolving coding practices this year. Key topics include transforming video generation through models like Veo 2, exploring human-computer interaction with Project Mariner, and the optimistic future where costs of AI solutions will dramatically decrease, enhancing creativity and productivity.

Winston Weinberg, Co-founder and CEO of Harvey, brings his expertise in legal AI to the forefront. He discusses the necessity of deep process knowledge for success in legal tech, beyond just powerful models. Weinberg details how Harvey fosters trust with law firms through tailored demos and focuses on complex tasks like international mergers. The conversation dives into the role of AI in reshaping legal practices, enhancing access to services, and the urgent need for innovation in the industry.

Daniel Nadler, CEO and co-founder of OpenEvidence, discusses his revolutionary AI-powered medical knowledge platform designed to aid doctors in real-time. He highlights how smaller, specialized AI models can outperform larger ones in healthcare applications. The conversation covers the app's rapid adoption—growing from 1,000 to over 100,000 users in a year—and its role in democratizing access to medical information. Nadler also emphasizes the significance of accurate, transparent AI in healthcare, and the beneficial partnerships with publishers to improve patient outcomes.

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.

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.

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.