pith:23WWUGMB
Artificial Adaptive Intelligence: The Missing Stage Between Narrow and General Intelligence
The path from narrow AI to general AI goes through an intermediate stage of Artificial Adaptive Intelligence that eliminates human-specified hyperparameters.
arxiv:2605.16844 v1 · 2026-05-16 · cs.AI
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Claims
The path from ANI to AGI passes through AAI, and that naming this stage changes what we measure, what we build, and what we call a success.
That meta-learning, neural architecture search, AutoML, continual learning, evolutionary computation, and physics-informed modeling have quietly converged on the common principle of steady removal of the human from the loop of parameter specification.
Proposes Artificial Adaptive Intelligence as the regime between narrow and general AI, defined by elimination of human-specified hyperparameters, and introduces an adaptivity index plus parametric minimality principle grounded in minimum description length.
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Receipt and verification
| First computed | 2026-05-20T00:03:25.813309Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
d6ed6a1981b3b59dc056c9d046e2bb98124137f927daf92b2d7f1cc30262cdc1
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/23WWUGMBWO2Z3QCWZHIENYV3TA \
| 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: d6ed6a1981b3b59dc056c9d046e2bb98124137f927daf92b2d7f1cc30262cdc1
Canonical record JSON
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