DustHQ CTO Predicts Shift From Single-Player AI To Team-Coordinating Agents

3⃣ Stan also argues that even if model progress slowed down tomorrow, AI would still fundamentally change how we work. The bigger opportunity may be in the systems around the models rather than the next model release.

https://go.mlops.community/tc3yyt

@spolu, Co-Founder & CTO of @DustHQ, thinks single-player AI might be a temporary phase. In this conversation, he makes the case that the next big shift is agents coordinating work across teams, rather than humans doing the coordinating through better chat interfaces.

2⃣ Most of today's agent products solve for one person working with one agent. Stan thinks the harder problem is building a workspace where multiple humans and multiple agents can hand work off without everything falling apart.

Three things that stuck:

1⃣ Stan compared early Stripe's culture to a flocking algorithm - minimal management, high trust, strong alignment, and enough visibility for people to find each other when they were working on related problems.

Once agents can handle week-long tasks instead of hour-long ones, the bottleneck moves from model quality to collaboration, context sharing, and product design.