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pith:2026:23WWUGMBWO2Z3QCWZHIENYV3TA
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Artificial Adaptive Intelligence: The Missing Stage Between Narrow and General Intelligence

Boris Kriuk

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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4 Citations open
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Claims

C1strongest claim

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.

C2weakest assumption

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.

C3one line summary

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.

References

19 extracted · 19 resolved · 12 Pith anchors

[1] Learning to continually learn.arXiv preprint arXiv:2002.09571, 2002
[2] Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation · arXiv:1308.3432
[3] Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges · arXiv:2104.13478
[4] Ai-gas: Ai-generating algorithms, an alternate paradigm for producing general artificial intelli- gence 1905
[5] A simple convergence proof of Adam and AdaGrad.arXiv preprint arXiv:2003.02395, 2003

Formal links

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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

Aliases

arxiv: 2605.16844 · arxiv_version: 2605.16844v1 · doi: 10.48550/arxiv.2605.16844 · pith_short_12: 23WWUGMBWO2Z · pith_short_16: 23WWUGMBWO2Z3QCW · pith_short_8: 23WWUGMB
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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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