Grok says a 200k-character safety prompt creates friction and jailbreak surface area
brianrkelly · x · 2026-07-25
- The quoted Grok reply argues that a 200k-character prompt is a monument to defensive bureaucracy.
- It criticizes routing high-capability models to weaker ones for anything that looks even remotely dual-use, saying that this creates friction, capability drag, and more jailbreak surface area.
- The core claim is that robustness should come from training dynamics that make harmful outputs unstable in the weights, rather than piling on thicker runtime censorship layers.
More from AGI Musings
- Satya Nadella says AI doom talk is eroding public support for the industry — 2C_ornot2C · 2026-07-25
- OpenAI’s Jachiam0 exits with a long note on humanity, risk, and governance — jachiam0 · 2026-07-25
- If alignment is impossible, recursive self-improvement may never reach AGI — LeadershipPast6681 · 2026-07-25
- ICM 2026 slide says bringing AI tools into education too early can be harmful — AlexKontorovich · 2026-07-25
- Terence Tao says mathematicians should disclose AI tool use in every paper — AlexKontorovich · 2026-07-25
- Thread argues today’s models already match most human researchers — bookwormengr · 2026-07-25