AI Research
Beyond Plausible Prediction: Safety Sufficiency in Web World Models
Why believable forecasts may not be enough for safe agent decisions
Web world models increasingly predict the consequences of candidate actions before agents act, yet a plausible predicted future does not necessarily support the correct safety decision.
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ArXiv CS.AI
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2 min
ArXiv CS.AI
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Generated insight by OnAirToday AI
A model can forecast a believable outcome without giving an agent enough evidence to choose safely. This distinction matters because safety depends on whether predictions support the right decision, not just whether they look plausible.
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