Semantically Dense Context Triggers Latent Space Divergence
An empirical study suggests that long, semantically dense text can shift a model's internal state, potentially bypassing alignment guardrails without explicit jailbreak prompts. The researcher is seeking expert audits to determine if this is genuine semantic hijacking or an artifact of model architecture.






