
4 segments available
The battle for AI supremacy has ignited a fierce talent war, with companies like Meta offering salaries in the tens of millions for top researchers. In this clip, Dylan Patel explains the incredible economics behind these bidding wars. Discover why a single researcher who can make a process just 5% more efficient can save a company billions in compute costs, and how this makes even a $100 million salary a potential bargain. #AI #Semiconductors #OpenAI #NVIDIA #TechInvesting #ArtificialIntelligence #MachineLearning #TechStrategy #claude #podcast #talentwar #salary #jobs Presented by Ramp: https://ramp.com/business-cards?utm_s Sponsored by AlphaSense and Ridgeline: https://www.alpha-sense.com/invest/ https://www.ridgelineapps.com/ ****** Patrick O'Shaughnessy is the CEO of Positive Sum. All opinions expressed by Patrick and podcast guests are solely their own and do not reflect the opinion of Positive Sum. This podcast is for informational purposes only and should not be relied upon as a basis for investment decisions. Clients of Positive Sum may maintain positions in the securities discussed in this podcast. To learn more, visit psum.vc
Exploring the evolving dynamics of talent in high-stakes research environments.
"One of the most interesting subplots of this whole world is the talent wars. A cool idea is that as these things get better, maybe we begin to automate some of the research function that people formal..."
This segment discusses the inefficiencies and competitive tactics in the tech industry, particularly focusing on talent acquisition and resource allocation.
"problems before they did the super intelligence thing was that they just had too many people that weren't led by leadership that was amazing. Um, and they had like a lot of failed experiments and wast..."
Exploring the relationship between talent, economic success, and the shifting landscape of labor in America.
"the most valuable thing for them to do? No. But those are the two professions that give you like good working hours and great pay. Yeah. Not to say that, you know, the general doctor is not smart as t..."
This segment explores the parallels between machine learning research and semiconductor manufacturing, emphasizing the importance of intuition and iterative experimentation.
"can talk the talk they're great right? Like people just automatically assume they're great because they can talk the talk. But you know how many people suck at talking and are really freaking good at ..."