Safety
50d agoCritiquing Agent Assumptions in AI Safety Forecasts
Ontological commitments often distort AI safety forecasts by smuggling in untestable assumptions about future agents. LessWrong argues that disagreements over compute scaling often mask deeper conflicts regarding whether humans or AI models will be the primary actors. This conceptual blind spot risks misaligning safety strategies.
The Signal
Practitioners must scrutinize these basic units to avoid flawed predictive models.