Synthetic Computers at Scale for Long-Horizon Productivity Simulation

ArXi:2604.28181v1 Announce Type: new Realistic long-horizon productivity work is strongly conditioned on user-specific computer environments, where much of the work context is d and organized through directory structures and content-rich artifacts. To scale synthetic data creation for such productivity scenarios, we In preliminary experiments, we create 1,000 synthetic computers and run long-horizon simulations on them; each run requires over 8 hours of agent runtime and spans than 2,000 turns on average.