Why AI Agents Fail at Computer Use: The Interface Problem

You can't solve computer use by ignoring the interface

Current AI agents struggle with real-world tasks because they bypass user interfaces to hack APIs instead of interacting naturally. This approach wastes compute on perception rather than reasoning. At Steelman Labs, we argue that scaling models is a dead end. True progress requires separating planning from execution to achieve human-level motor control and reaction times.