Dr. Percy Liang, a Stanford computer science professor and director of the Stanford Center for Research on Foundation Models, discusses the pivotal role of academia in AI research. He highlights the shift from human-like to superhuman intelligence ambitions. The conversation delves into innovative language models like GPT-3 and the necessity of transparency in AI development. Liang also advocates for community-driven AI initiatives and the use of decentralized computing to propel future advancements, stressing the ethical responsibilities that come with these technologies.

Percy Liang, a Stanford professor and co-founder of Together AI, dives into the fascinating evolution of AI from simple token prediction to complex autonomous agents. He discusses the challenges of AI safety and interpretability, emphasizing a holistic approach to mitigating risks. The conversation also touches on generative agents in simulations, their potential in social dynamics, and the importance of evaluating AI systems with new methodologies. Plus, Liang shares insights into AI's future role in fields ranging from education to music, showcasing the technology's transformative power.

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

A re-broadcast of Greylock general partner Saam Motamedi's interview with Adept CEO and co-founder David Luan and Stanford computer science and statistics professor Percy Liang. In this conversation (recorded in mid-2022), David and Percy discuss how large language models are paving the way for the next wave of AI. Adept is developing an AI "teammate" tool that is trained to use every software tool and API for knowledge workers. The company just raised $350 million in Series B funding to further its mission. Greylock has been partnered with Adept since co-leading the Series A in 2022. 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

Percy Liang, Stanford professor, discusses foundation models, reproducible research, and societal impacts of AI. Topics include paradigm shifts in AI, generative agents for social dynamics, academia's role in model development, aligning language models with human values, and dissent in science and society.