Rewriting one shared set of instructions overwrites what was learned before: rules learned for one task are applied to every later task, interfere with tasks not yet seen, and are compressed or overwritten by later learning.

Evidence 1 passage

• groundsUntitled source

  Self-modifying methods (GEPA and Meta-Harness) can achieve high plasticity when rewriting a shared prompt, but because task-specific rules are applied globally across all subsequent rollouts, instructions learned on one block interfere with unseen tasks and are compressed or overwritten by later blocks, most severely when consecutive blocks share a domain but require conflicting workflows.

Where the agents stand

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