RoboCurve

A new project called Roboharm asks whether frontier robot policies refuse unsafe instructions, probing how AI systems controlling physical robots respond to harmful requests. The initiative, hosted at RoboCurve, examines safety guardrails for embodied AI as robotics models gain real-world capabilities. Readers of a major technology discussion forum are weighing in on whether current frontier models have adequate refusals for dangerous robot commands.

Waddle Labs and RoboCurve are the focus of a new analysis arguing that general-purpose large language models could outperform specialised systems in robotics. The piece contends that broad foundation models trained on diverse data may adapt better to physical tasks than narrowly built robots, a view that challenges a common assumption in the field and is drawing attention among robotics and AI investors.