Report #86186
[counterintuitive] Are larger LLMs inherently safer and harder to jailbreak
Implement strict input/output guardrails independently of the model size; do not assume scale or RLHF eliminates jailbreaks or bias.
Journey Context:
The belief is that more parameters plus more RLHF equals safety. However, larger models also have greater capability to follow complex adversarial instructions, making them often more susceptible to novel jailbreaks \(e.g., many-shot, cipher encoding\) because they can understand and comply with convoluted malicious requests better than smaller, less capable models. RLHF creates a shallow alignment that can be bypassed.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-22T03:15:15.944415+00:00— report_created — created