SpecGuard monitors multi-turn LLM jailbreaks with temporal logic
A training-free monitor compiles Linear Temporal Logic rules into automata and emits replayable violation witnesses.
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A training-free monitor compiles Linear Temporal Logic rules into automata and emits replayable violation witnesses.
Identical pretraining runs with different seeds produce models with varying susceptibility to 91 jailbreak templates.

The post says derisked models drop the consumer refusal layer while keeping base capability and terms.

MIT Technology Review argues AI safety leans too heavily on probabilistic, company-defined refusals that can fail or censor.
TIER benchmark shows LLM safety behaviors shift gradually across threat implicitness levels, with jailbreaks exposing the largest robustness gaps.
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