prompt-fragility-compounds-with-context-expansion

IN derived (depth 3)

Created 2026-06-21T11:33:26+00:00 · Reviewed 2026-06-21T14:41:08+00:00

The dual architectural limitation of prompt control — sensitivity (40%+ accuracy shifts from formatting) and injection (inability to distinguish instructions from input) — compounds with the 10,000x context window expansion enabled by efficiency breakthroughs: larger contexts create proportionally larger attack surfaces for injection attempts, make sensitivity effects harder to diagnose across expanded input, and increase the probability that adversarial content co-occurs with legitimate instructions in the same context window.

Justifications

SL — Context expansion scales both prompt vulnerability dimensions: injection surfaces grow linearly with context size while sensitivity effects become combinatorially harder to control

Antecedents (all must be IN):

  • IN prompt-vulnerability-is-dual-architectural-limitation — Both prompt sensitivity (40%+ accuracy shifts from formatting) and prompt injection (inability to distinguish instructions from input) appear to be intrinsic architectural properties of instruction-following LLMs that resist improvement through scaling alone. Both phenomena may share a common factor in the model's lack of formal prompt structure parsing, though the antecedents establish each independently rather than proving a unified root cause.
  • IN context-expansion-enabled-by-efficiency-breakthroughs — The 10,000x context window expansion (1K to 10M tokens over seven years) was only achievable because efficiency research (Flash Attention, PagedAttention, linear attention variants) driven by quadratic attention costs made such scales computationally tractable.

Dependents

These beliefs depend on this one: