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 "@id": "https://wulfkaal.github.io/entities/diminishing-returns",
 "identifier": "kaal:entity:diminishing-returns",
 "name": "Diminishing returns",
 "termCode": "diminishing-returns",
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 "author": {
  "@type": "Person",
  "name": "Wulf A. Kaal",
  "identifier": "https://orcid.org/0000-0003-0757-275X"
 },
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   "value": [
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 "subjectOf": [
  {
   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/3808873-011",
   "identifier": "kaal:claim:3808873-011",
   "text": "Centralization follows an S curve: in the expansion phase the benefits of centralizing power, capital and control rise faster than its costs, but in the decline phase the rising costs of centralization, including corruption, diseconomies of scale and cronyism, can no longer be offset, so centralized systems function less optimally and less efficiently.",
   "abstract": "Because of the increase in the cost of centralization, the benefits of centralization can no longer offset and outweigh the cost. As a result, centralized systems function less optimally and less efficiently.",
   "citation": "Wulf A. Kaal, Decentralization Neutralizers (2021). SSRN: https://ssrn.com/abstract=3808873",
   "datePublished": "2021",
   "claim_type": "mechanism",
   "confidence": "argued",
   "is_failure_mode": true,
   "scope_conditions": [
    "centralized systems in business and society over their life cycle"
   ],
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   "status": "current"
  },
  {
   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/4855607-002",
   "identifier": "kaal:claim:4855607-002",
   "text": "The computational cost of improving deep learning performance scales so badly that halving the error rate is estimated to require over five hundred times more computational resources, which raises a sustainability problem for the deep learning paradigm itself.",
   "abstract": "improving deep learning performance increases drastically, with estimates suggesting that halving the error rate would require over 500 times more computational resources. This raises concerns about the sustainability and efficiency of deep learning approaches.",
   "citation": "Wulf A. Kaal, How AI Models are Optimized Through Web3 Governance (2024). SSRN: https://ssrn.com/abstract=4855607",
   "datePublished": "2024",
   "claim_type": "empirical",
   "confidence": "evidenced",
   "is_failure_mode": true,
   "scope_conditions": [
    "scaling driven improvement of deep learning accuracy"
   ],
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 ],
 "description": "2 claims in the published works of Wulf A. Kaal carry the concept tag 'diminishing-returns'. Derived node: a roster, not an adjudicated definition."
}