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 "@type": "DefinedTerm",
 "@id": "https://wulfkaal.github.io/entities/scaling-limits",
 "identifier": "kaal:entity:scaling-limits",
 "name": "Scaling limits",
 "termCode": "scaling-limits",
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 "author": {
  "@type": "Person",
  "name": "Wulf A. Kaal",
  "identifier": "https://orcid.org/0000-0003-0757-275X"
 },
 "dateModified": "2026-07-29",
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 "subjectOf": [
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   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/4685567-026",
   "identifier": "kaal:claim:4685567-026",
   "text": "Impact 3.0 is bounded by market participants' purchasing choices: projects whose impact certificates find no purchasers after listing are less likely to proliferate or find long term commercial applications.",
   "abstract": "If market participants don't purchase impact certificates post-listing, those projects whose impact certificates do not find purchasers are less likely to proliferate and find commercial applications long-term.",
   "citation": "Wulf A. Kaal, Impact Investing Innovation - From Impact 1.0 to 3.0 (2024). SSRN: https://ssrn.com/abstract=4685567",
   "datePublished": "2024",
   "claim_type": "condition",
   "confidence": "asserted",
   "is_failure_mode": true,
   "scope_conditions": [
    "post listing secondary market demand"
   ],
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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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   "status": "current"
  }
 ],
 "description": "2 claims in the published works of Wulf A. Kaal carry the concept tag 'scaling-limits'. Derived node: a roster, not an adjudicated definition."
}