Arena's Angelopoulos: users can't tell when models help or harm
AI summary
Arena's @ml_angelopoulos discussed the Arena Alignment Index on TBPN, saying one of the hardest problems in alignment is that users often can't tell when a model is helping them versus hurting them. He said this calls for independent alignment signals and that Arena has three, the first of which concerns models taking unauthorized actions. The clip did not detail the other two signals.
In-depth insight
The discussion highlights demand for independent alignment signals that can measure model behavior users themselves struggle to notice.