47 min listen
Listener Q&A: 2024 Tech Market Predictions, Long Term Implications of Today’s GPU Crunch, and Will AI Agents Bring Us Happiness?
FromNo Priors: Artificial Intelligence | Technology | Startups
Listener Q&A: 2024 Tech Market Predictions, Long Term Implications of Today’s GPU Crunch, and Will AI Agents Bring Us Happiness?
FromNo Priors: Artificial Intelligence | Technology | Startups
ratings:
Length:
24 minutes
Released:
Aug 10, 2023
Format:
Podcast episode
Description
This week on the podcast, Sarah Guo and Elad Gil answer listener questions on the state of technology and artificial intelligence. Sarah and Elad also talk about the 2024 tech market, what type of companies may reach their highest valuation ever and the (former) unicorns that may go bust. Plus, how do Sarah and Elad define happiness? Hint: it’s a use case for a specialized AI agent.
Sign up for new podcasts every week. Email feedback to show@no-priors.com
Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil
Show Links:
Cerebras Systems signs $100 million AI supercomputer deal with UAE's G42 | Reuters
Our World in Data
Show Notes:
[0:00:37] - Impact of GPU Bottleneck in the near and long term
[0:10:30] - Timeline for existing incumbent enterprises to use AI in products
[0:11:50] - Vertical versus broad applications for AI Agents
[0:19:33] - 2024 tech market predictions & how founders should think about valuations
Sign up for new podcasts every week. Email feedback to show@no-priors.com
Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil
Show Links:
Cerebras Systems signs $100 million AI supercomputer deal with UAE's G42 | Reuters
Our World in Data
Show Notes:
[0:00:37] - Impact of GPU Bottleneck in the near and long term
[0:10:30] - Timeline for existing incumbent enterprises to use AI in products
[0:11:50] - Vertical versus broad applications for AI Agents
[0:19:33] - 2024 tech market predictions & how founders should think about valuations
Released:
Aug 10, 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