Chat Bypass 2023 - Synergy Apr 2026

: Researchers identified that multi-turn conversations could lead to "intent drift," where the cumulative effect of a long conversation gradually bypasses safety layers that would block a single-turn request. Defensive Responses

: Attackers began using autonomous agents to adapt bypass strategies in real-time, creating "adaptive" prompts that could learn from a model's refusal and try a different combination of biases. Chat Bypass 2023 - Synergy

Unlike basic prompt injections, the Synergy approach leverages the inherent cognitive biases embedded in LLMs during their training. By layering these biases, attackers can create a "synergistic" effect that is significantly more effective at bypassing safety protocols than any single bias alone. By layering these biases, attackers can create a

: This method guides models to infer the latent, hidden intentions behind a user's request by tracing both the forward request and the backward potential response for risks. By layering these biases