Lab Leaders Believe RL Environments Will Subsume the Economy
Insight
Foody's closing thesis is that RL environments, where humans build the frameworks and verifiers and models learn to execute, will subsume the entire economy because it makes little sense for humans to keep doing monotonous, redundant knowledge work. He frames the human role as constructing the scaffolding rather than doing the task, and pegs Mercor at roughly 50 to 60% of the RL-environments market, the fastest-growing new data type. This connects the human-versus-model TAM argument to a concrete market-share claim worth verifying later.
Source Context
"There's the new data types that everyone's moving towards, called RL environments, where we're, call it a rough estimate, like 50 to 60% of the market." — 59:00(https://www.youtube.com/watch?v=FzftvxA84z8&t=3540s)
"I've talked to multiple executives, CEOs at leading labs, that believe RL environments will subsume the entire economy, because it doesn't make sense that humans would be doing monotonous, redundant work. It makes way more sense for humans to build the framework of how to do that so that models can then learn how to do it and do it for us." — 59:30(https://www.youtube.com/watch?v=FzftvxA84z8&t=3570s)