No Priors: Artificial Intelligence | Technology | Startups
What is the role of academia in modern AI research? With Stanford Professor Dr. Percy Liang
At this moment of inflection in technology, co-hosts Elad Gil and Sarah Guo talk to the world's leading AI engineers, researchers and founders about the biggest questions: How far away is AGI? What markets are at risk for disruption? How will commerce, culture, and society change? What’s happening in state-of-the-art in research? “No Priors” is your guide to the AI revolution. Email feedback to show@no-priors.com.
Sarah Guo is a startup investor and the founder of Conviction, an investment firm purpose-built to serve intelligent software, or "Software 3.0" companies. She spent nearly a decade incubating and investing at venture firm Greylock Partners.
Elad Gil is a serial entrepreneur and a startup investor. He was co-founder of Color Health, Mixer Labs (which was acquired by Twitter). He has invested in over 40 companies now worth $1B or more each, and is also author of the High Growth Handbook.
Show Notes
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When AI research is evolving at warp speed and takes significant capital and compute power, what is the role of academia? Dr. Percy Liang – Stanford computer science professor and director of the Stanford Center for Research on Foundation Models talks about training costs, distributed infrastructure, model evaluation, alignment, and societal impact.
Sarah Guo and Elad Gil join Percy at his office to discuss the evolution of research in NLP, why AI developers should aim for superhuman levels of performance, the goals of the Center for Research on Foundation Models, and Together, a decentralized cloud for artificial intelligence.
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Show Links:
See Percy’s Research on Google Scholar
See Percy’s bio on Stanford’s website
Percy on Stanford’s Blog: What to Expect in 2023 in AI
Together, a decentralized cloud for artificial intelligence
Foundation AI models GPT-3 and DALL-E need release standards - Protocol
The Time Is Now to Develop Community Norms for the Release of Foundation Models - Stanford
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Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @PercyLiang
Show Notes:
[] - How Percy got into machine learning research and started the Center for Research and Foundation Models at Stanford
[] - The role of academia and academia’s competitive advantages
[] - Research on natural language processing and computational semantics
[] - Smaller scale architectures that are competitive with transformers
[] - Helm, holistic evaluation of language models, a project with the the goal is to evaluate language models
[] - Together, a decentralized cloud for artificial intelligence
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