David Luan, CEO of Adept and former VP at OpenAI, shares insights on the future of AI models. He explores the evolution of foundation models, predicts Nvidia's move into the model space, and discusses the potential commoditization of models. Luan also touches on the importance of improving reasoning and memory in AI systems and the impact of AI on organizational structures and pricing models.

David Luan shares insights on GPT-3 limitations. Discusses Google's AI journey. Adept's approach to building AI teammates. Trade-offs in AI systems. Leveraging synthetic data for AGI. Business-focused AI agents and robotics training.

Stanford HAI's Fei-Fei Li, Inflection's Mustafa Suleyman, and Adept's David Luan discuss ethical concerns in AI, including education, human-centered development, guardrails for user safety, and shaping the future with Generation AI.

David Luan, Adept CEO, discusses building multimodal agents for human collaboration. He shares insights on AI functions in software, the shift to AGI through product building, and Adept's human-centric approach. Topics include agent architecture, data collection intelligence, and future agent-based systems in computing.

Greylock general partner Saam Motamedi interviews David Luan, who is the co-founder of ML research and product lab Adept, and Percy Liang, who is the associate professor of computer science and statistics at Stanford. In this conversation, they discuss the major developments in working with large scale language models. This interview took place during Greylock’s Intelligent Future event, a day-long summit featuring some of the leading voices in artificial intelligence. You can watch the video from this interview on our YouTube channel here: https://youtu.be/_ydBm3tADvA You can read a transcript of the conversation on our website here: https://greylock.com/greymatter/ai-language-words-into-action/ ‎ Learn more about your ad choices. Visit megaphone.fm/adchoices