47 min listen
Listener Q&A: AI Misconceptions, The Reality of Regulation, Infinite Context, Incumbent AI Execution and Startup Ideas
FromNo Priors: Artificial Intelligence | Technology | Startups
Listener Q&A: AI Misconceptions, The Reality of Regulation, Infinite Context, Incumbent AI Execution and Startup Ideas
FromNo Priors: Artificial Intelligence | Technology | Startups
ratings:
Length:
35 minutes
Released:
Jun 8, 2023
Format:
Podcast episode
Description
This week on No Priors, Sarah and Elad do another hangout to answer listener questions. Topics include debunking common misconceptions about AI and its implications on the world, the analogy to nuclear power and nuclear safety, the impact of larger context windows, developer productivity, incumbent announcements of AI products, and some requests for (fat) startups.
No Priors is now on YouTube! Subscribe to the channel on YouTube and like this episode.
Sign up for new podcasts every week. Email feedback to show@no-priors.com
Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @SchimpfBrian
Show Notes:
[00:21] - What Are People Getting Wrong About AI Right Now? / New Capabilities of NLP
[04:35] - Nuclear Power and Safety Concerns
[11:12] - Emerging AI Companies and Research
[15:54] - China's Hardware Sanctions and Funding Ramp
[20:34] - Innovation in Heterogeneous Compute Infrastructure
[28:08] - Enterprise Stack and Decision Making
[33:44] - Data's Impact on the World
No Priors is now on YouTube! Subscribe to the channel on YouTube and like this episode.
Sign up for new podcasts every week. Email feedback to show@no-priors.com
Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @SchimpfBrian
Show Notes:
[00:21] - What Are People Getting Wrong About AI Right Now? / New Capabilities of NLP
[04:35] - Nuclear Power and Safety Concerns
[11:12] - Emerging AI Companies and Research
[15:54] - China's Hardware Sanctions and Funding Ramp
[20:34] - Innovation in Heterogeneous Compute Infrastructure
[28:08] - Enterprise Stack and Decision Making
[33:44] - Data's Impact on the World
Released:
Jun 8, 2023
Format:
Podcast episode
Titles in the series (64)
What is the role of academia in modern AI research? With Stanford Professor Dr. Percy Liang: 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. by No Priors: Artificial Intelligence | Technology | Startups