# Ai development

`kaal:entity:ai-development`

**Status.** derived

This node is assembled mechanically from the 7 claims that carry the concept tag `ai-development`. It is a roster of what the corpus says under this term. It is **not** an adjudicated definition: no single statement here has been ruled canonical, and no first-appearance call has been made. Read the claims and judge for yourself.

## Every claim under this term

7 claims across 5 works, 2024 to 2025.

**2024**

- [4734750-031](https://wulfkaal.github.io/claims/4734750-031) [condition/argued] -- Supervised learning currently depends on labeled data produced by micro task work, so the evolution and growth of AI is correlated with the evolution and growth of micro task work.
  > currently, supervised learning depends on labeled data that is produced via micro task work
  Wulf A. Kaal, Code Review DAO (2024). SSRN: https://ssrn.com/abstract=4734750
- [4734750-032](https://wulfkaal.github.io/claims/4734750-032) [failure/argued] *(failure mode)* -- Because AI progress depends on labeled data from micro task work, the significant limitations of existing micro task platform systems act as a direct constraint on the evolution of AI.
  > But alas, microtasks platform systems are subject to significant limitations that inhibit the evolution of AI.
  Wulf A. Kaal, Code Review DAO (2024). SSRN: https://ssrn.com/abstract=4734750
- [4755632-001](https://wulfkaal.github.io/claims/4755632-001) [condition/argued] -- Data quality is a necessary but not a sufficient condition for AI growth: algorithms, computing power, and developer expertise also play significant roles, yet access to quality datasets remains a fundamental requirement for advancing AI.
  > data quality alone is not sufficient for AI growth and its disruption and reinvention of business models, the algorithms, computing power, and expertise of developers also play significant roles
  Wulf A. Kaal, AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning (2024). SSRN: https://ssrn.com/abstract=4755632
- [4796714-005](https://wulfkaal.github.io/claims/4796714-005) [predictive/argued] -- Technology has historically outpaced regulation, and the exponential trends in AI development will continue to widen the mismatch between regulation and AI development.
  > Technology has historically outpaced regulation.3 The exponential trends in AI development will continue to exacerbate the mismatch between regulation and AI development.
  Wulf A. Kaal, AI Governance (2024). SSRN: https://ssrn.com/abstract=4796714
- [4941807-003](https://wulfkaal.github.io/claims/4941807-003) [design/argued] -- Kaal advocates an ex-ante governance approach within Web3 frameworks in which community coordinated regulatory measures and oversight mechanisms are set during the development phase of AI technologies rather than imposed after deployment.
  > In contrast, an ex-ante governance approach, advocated within Web3 frameworks as presented in this paper, involves setting community coordinated regulatory measures and oversight mechanisms during the development phase of AI technologies.
  Wulf A. Kaal, AI Governance Via Web3 Reputation System (2024). SSRN: https://ssrn.com/abstract=4941807
- [4941807-004](https://wulfkaal.github.io/claims/4941807-004) [predictive/evidenced] *(failure mode)* -- Technology has historically outpaced regulation, and the exponential trends in AI development will continue to widen the mismatch between regulation and AI development.
  > Technology has historically outpaced regulation.2 The exponential trends in AI development will continue to exacerbate the mismatch between regulation and AI development.
  Wulf A. Kaal, AI Governance Via Web3 Reputation System (2024). SSRN: https://ssrn.com/abstract=4941807

**2025**

- [5095633-002](https://wulfkaal.github.io/claims/5095633-002) [mechanism/argued] -- Data exhaustion is caused primarily by the exponential growth in the size of datasets needed to build increasingly sophisticated AI models, not by any sudden loss of existing text.
  > The phenomenon—often referred to as "data exhaustion"—arises largely from the exponential increase in the size of datasets required to develop increasingly sophisticated AI models.
  Wulf A. Kaal, Artificial Intelligence The Final Frontier (2025). SSRN: https://ssrn.com/abstract=5095633

## Verify

Every claim above resolves to a record carrying a verbatim source quote, the sha256 of the source PDF, and a preformatted citation. Nothing here asks to be taken on trust.

    curl -s https://wulfkaal.github.io/entities/ai-development.md | sha256sum

**Canonical form.** This markdown file is the canonical hashed representation of this entity node. Its sha256 is the content hash.