pith:WLYWF7HC
Robust AI Security and Alignment: A Sisyphean Endeavor?
Extending Gödel's incompleteness theorem establishes fundamental information-theoretic limits on the robustness of AI security and alignment.
arxiv:2512.10100 v2 · 2025-12-10 · cs.AI
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\pithnumber{WLYWF7HC2LGDOVUWBURW3QZBHL}
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Record completeness
Claims
This manuscript establishes information-theoretic limitations for robustness of AI security and alignment by extending Gödel's incompleteness theorem to AI.
That AI systems can be modeled as formal axiomatic systems in a manner that allows direct application of Gödel's incompleteness results to their security and alignment properties.
AI security and alignment cannot achieve full robustness because any sufficiently powerful AI inherits incompleteness-style limitations from formal systems.
References
Formal links
Receipt and verification
| First computed | 2026-05-20T00:01:37.655089Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
b2f162fce2d2cc3756960d236dc3213ae65fbd30a087e068b8be2fa127f8868c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WLYWF7HC2LGDOVUWBURW3QZBHL \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: b2f162fce2d2cc3756960d236dc3213ae65fbd30a087e068b8be2fa127f8868c
Canonical record JSON
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"license": "http://creativecommons.org/licenses/by/4.0/",
"primary_cat": "cs.AI",
"submitted_at": "2025-12-10T21:44:10Z",
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