A workplace replica as an RL environment: attempt the task, get scored, improve
ccerrato147 · x · 2026-11-11
The author explains Mercor's setup with a simple analogy: an AI practices inside a copy of a workplace, with apps, messages, files, and a job to finish, while experts write the tasks and grading rules. That is a reinforcement learning environment: attempt the work, get a score, and improve.
Related event: Mercor acquires Deeptune to build simulated workplaces for AI agents(2 posts)→
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