Sharon Zhou, an AI startup founder with a PhD from Stanford, joins the conversation to discuss the latest AI models like GPT-4.5, Claude 3.7, and Grok 3, diving into their features and market impact. The duo explores innovative tools such as Sesame's new voice assistant, which has users wanting more interaction, and Google's AI coding assistant, Gemini Code Assist. They also unpack the competitive landscape, including OpenAI's growth amid challenges, and touch on intriguing research around AI alignment and emerging multi-agent systems.

Sharon Zhou, CEO of Lamini, discusses the evolving AI market, Inference, Memory Tuning, AI agents, real-time challenges, and Lamini's future. Topics include GPU shortage, AMD vs Nvidia, LoRA, and reasoning vs pure compute in AI.

Sharon Zhou, Co-founder and CEO of Lamini AI, specializes in optimizing AI models for better performance. She shares insights on the intriguing blend of determinism and probabilism in managing unstructured data. Zhou discusses proprietary techniques, including memory tuning to counteract model inaccuracies. The conversation also touches on lessons learned from AI deployment, specifically drawing from experiences like those of GitHub Copilot. Expect a mix of technical wisdom and personal anecdotes about entrepreneurship and societal pressures in the tech world.

Leading VC Tomasz Tunguz of Theory Ventures, Jordan Tigani of MotherDuck, Maggie Hott of OpenAI, and Sharon Zhou of Lamini discuss the transformative role of data in building SaaS applications. They explore the impact of AI on application development, democratizing technology with LLMs, using licensed and synthetic images, AI's impact on investment firms and job roles, and the future of AI, education, and scalable domain experts.

Meet Sharon Zhou, Stanford adjunct faculty and Stealth Startup co-founder, as she discusses the power of language in AI. Delve into generative AI models, large language models, and translating every problem. Explore her background in Classics and Computer Science, her passion for teaching AI, and the future of generative models for diverse communities.