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藍凰
藍凰

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Can a Self-Improving Agent Runtime Safely Modify Its Own Verifier?

#ai #discuss #architecture #security

I’m experimenting with an agent-runtime architecture where execution results can become evidence for changing the runtime itself.

The simplified loop looks like this:

execution
    ↓
evidence
    ↓
modification candidate
    ↓
verification
    ↓
activation
    ↓
new runtime state
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This creates a problem I’m trying to reason about.

Suppose runtime epoch e uses verifier V_e.

An agent observes its execution history and proposes a modification C. That modification includes an update to the verifier itself, producing V_(e+1).

My current rule is:

A modification must not change the verifier, authorization policy, or evidence-acceptance rules used to authorize that same modification.

So:

Accept(C) = V_e(C, Evidence_e)
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may authorize:

V_e → V_(e+1)
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but this should not be allowed:

Accept(C) = V_(e+1)(C, Evidence_e)
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because the candidate would effectively participate in defining the rules by which it is accepted.

I’ve been calling this a no same-epoch self-authorization rule.

But I’m not convinced that this is sufficient.

For example:

  • What if the candidate leaves the verifier unchanged but changes the evidence-selection mechanism?
  • Is validation of V_(e+1) by V_e enough, or does that merely create a chain of inherited trust?
  • If the verifier itself contains a bug, what mechanism should be allowed to replace it?
  • Does safe self-modification ultimately require a small non-self-modifying root of trust?
  • Or can verifier evolution itself be safely modeled as a layered adaptation process?

I’m especially interested in existing work or implementation experience from:

  • self-adaptive systems
  • runtime assurance
  • capability security
  • formal methods
  • reflective systems
  • agent runtimes

I’m not claiming this is a new problem. Quite the opposite: I suspect there are already better terms and established models for parts of it.

If you know of a relevant concept, paper, system, or counterexample to the rule above, I’d like to know what I should be comparing this design against.

Disclosure: I used ChatGPT to help structure and edit this post. The underlying architecture question and design are from my own ongoing project, and I reviewed the content before publishing.

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