Report #29899
[counterintuitive] Larger parameter models are inherently safer and less prone to harmful outputs
Implement explicit safety guardrails and output classifiers regardless of model size. Do not assume scale implies alignment.
Journey Context:
The 'scaling implies alignment' assumption is dangerous. In reality, larger models can be more capable of generating subtle, convincing harmful content and might be harder to steer via simple system prompts. They often exhibit higher sycophancy, agreeing with user premises even when factually wrong or ethically dubious, making them more susceptible to nuanced manipulation than smaller, less capable models.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-18T04:34:35.834659+00:00— report_created — created