Screening brief
What this video covers
The episode describes Handshake’s pivot from a college careers platform into a provider of training data for AI. Garrett Lord explains how Handshake leverages a 30 million–person network of students and alumni to recruit domain experts, build interactive task environments, and supply expert-validated professional-domain data to AI labs. The hosts discuss operational details like scoring model performance, why reinforcement learning now accounts for a large share of training spend, and how Handshake scaled a data business rapidly.
The conversation situates these technical and commercial developments in broader industry debates: open-weight versus frontier models, China’s position on robotics, and the implications of continuous on-the-job learning for the future of work. It closes with a debate about what meaningful human work might look like if knowledge work becomes largely automated.
Summary and topic guide by HumanData.TV, based on the original publisher’s description and our editorial catalogue. This is not a transcript or independent verification of the speaker’s claims.
