The Best of 2024 (so far) with Sarah Guo and Elad Gil
Believe or not, we’re almost halfway through 2024. Sarah and Elad have spent the first of this year talking with some of the most innovative minds in the AI industry, so we’re taking a look at some of our favorite No Priors conversations so far featuring Dylan Field (Figma); Emily Glassberg-Sands (Stripe); Brett Adcock (Figure AI); Aditya Ramesh, Tim Brooks and Bill Peebles (OpenAI’s Sora Team); Scott Wu (Cognition); and Alexandr Wang (Scale).
Watch or listen to the full episodes here:
Build AI products at on-AI companies with Emily Glassberg Sands from Stripe
Designing the Future: Dylan Field on AI, Collaboration, and Independence
The argument for humanoid robots with Brett Adcock from Figure
OpenAI’s Sora team thinks we’ve only seen the "GPT-1 of video models"
Cognition’s Scott Wu on how Devin, the AI software engineer, will work for you
The Data Foundry for AI with Alexandr Wang from Scale
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Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil
Show Notes:
(0:00) Introduction
(0:46) Emily Glassberg Sands on the Future of AI and Fintech
(4:23 Dylan Field on AI and Human Creative Potential
(9:03) Brett Adcock on Running Figure AI’s Hardware and Software Processes
(12:43) OpenAI’s Sora Team on Artists’ Creative Experiences with their Model
(17:43) Scott Wu Gives Advice for Human Engineers Co-Working with AI
(21:06) Alexandr Wang on How Quality Data Builds Confidence in AI Systems
Build AI products at on-AI companies with Emily Glassberg Sands from Stripe
Many companies that are building AI products for their users are not primarily AI companies. Today on No Priors, Sarah and Elad are joined by Emily Glassberg Sands who is the Head of Information at Stripe. They talk about how Stripe prioritizes AI projects and builds these tools from the inside out. Stripe was an early adopter of utilizing LLMs to help their end user. Emily talks about how they decided it was time to meaningfully invest in AI given the trajectory of the industry and the wealth of information Stripe has access to. The company’s goal with utilizing AI is to empower non-technical users to code using natural language and for technical users to be able to work much quicker and in this episode she talks about how their Radar Assistant and Sigma Assistant achieve those goals.
Sign up for new podcasts every week. Email feedback to show@no-priors.com
Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @emilygsands
Show Notes:
(0:00) Background
(0:38) Emily’s role at Stripe
(2:31) Adopting early gen AI models
(4:44) Promoting internal usage of AI
(8:17) Applied ML accelerator teams
(10:36) Radar fraud assistant
(13:30) Sigma assistant
(14:32) How will AI affect Stripe in 3 years
(17:00) Knowing when it’s time to invest more fully in AI
(18:28) Deciding how to proliferate models
(22:04) Whitespace for fintechs employing AI
(25:41) Leveraging payments data for customers
(27:51) Labor economics and data
(30:10) Macro economic trends for strategic decisions
(32:54) How will AI impact education
(35:36) Unique needs of AI startups
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