59 min listen
What is the role of academia in modern AI research? With Stanford Professor Dr. Percy Liang
FromNo Priors: Artificial Intelligence | Technology | Startups
What is the role of academia in modern AI research? With Stanford Professor Dr. Percy Liang
FromNo Priors: Artificial Intelligence | Technology | Startups
ratings:
Length:
47 minutes
Released:
Mar 9, 2023
Format:
Podcast episode
Description
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.
No Priors is now on YouTube! Subscribe to the channel on YouTube and like this episode.
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
Sign up for new podcasts every week. Email feedback to show@no-priors.com
Follow us on Twitter: @Saranormous | @EladGil | @PercyLiang
Show Notes:
[1:44] - How Percy got into machine learning research and started the Center for Research and Foundation Models at Stanford
[7:23] - The role of academia and academia’s competitive advantages
[13:30] - Research on natural language processing and computational semantics
[27:20] - Smaller scale architectures that are competitive with transformers
[35:08] - Helm, holistic evaluation of language models, a project with the the goal is to evaluate language models
[42:13] - Together, a decentralized cloud for artificial intelligence
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.
No Priors is now on YouTube! Subscribe to the channel on YouTube and like this episode.
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
Sign up for new podcasts every week. Email feedback to show@no-priors.com
Follow us on Twitter: @Saranormous | @EladGil | @PercyLiang
Show Notes:
[1:44] - How Percy got into machine learning research and started the Center for Research and Foundation Models at Stanford
[7:23] - The role of academia and academia’s competitive advantages
[13:30] - Research on natural language processing and computational semantics
[27:20] - Smaller scale architectures that are competitive with transformers
[35:08] - Helm, holistic evaluation of language models, a project with the the goal is to evaluate language models
[42:13] - Together, a decentralized cloud for artificial intelligence
Released:
Mar 9, 2023
Format:
Podcast episode
Titles in the series (63)
The bot Cicero can collaborate, scheme and build trust with humans. What does this mean for the next frontier of AI? With Noam Brown, Research Scientist at Meta: AGI can beat top players in chess, poker, and, now, Diplomacy. In November 2022, a bot named Cicero demonstrated mastery in this game, which requires natural language negotiation and cooperation with humans. In short, Cicero can lie, scheme, build trust, pass as human, and ally with humans. So what does that mean for the future of AGI? This week’s guest is research scientist Noam Brown. He co-created Cicero on the Meta Fundamental AI Research Team, and is considered one of the smartest engineers and researchers working in AI today. Co-hosts Sarah Guo and Elad Gil talk to Noam about why all research should be high risk, high reward, the timeline until we have AGI agents negotiating with humans, why scaling isn’t the only path to breakthroughs in AI, and if the Turing Test is still relevant. by No Priors: Artificial Intelligence | Technology | Startups