# Social credit

`kaal:entity:social-credit`

**Status.** derived

This node is assembled mechanically from the 2 claims that carry the concept tag `social-credit`. 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

2 claims across 1 works, 2021 to 2021.

1 of them no longer stand as published, per the claim status overlay. Each is flagged in place below and in the register listings above. Route to the superseding claim rather than the first statement.

**2021**

- [3782201-011](https://wulfkaal.github.io/claims/3782201-011) [failure/argued] *(failure mode)* -- Centralized and opaque reputation systems such as China's Social Credit System are unstable in the long run and particularly dangerous, because their computerized bureaucracy makes them inherently rigid and their early successes make them progressively more brittle.
  > Centralized and opaque systems like the SCS are unstable in the long run. They are particularly dangerous, because their computerized bureaucracy makes them in- herently rigid. Their early successes will make them more and more brittle.
  Craig Calcaterra, Wulf A. Kaal, Future of Decentralization (2021). SSRN: https://ssrn.com/abstract=3782201
- [3782201-012](https://wulfkaal.github.io/claims/3782201-012) [failure/argued] *(failure mode)* **[FALSIFIED -- The claim holds that neural networks are 'always extremely unreliable when applied to novel situations.' Frontier model performance on held-out and adversarially novel tasks between 2023 and 2026 contradicts the unqualified form of this claim. The underlying institutional argument may survive; the empirical premise as stated does not.]** -- Suggestions that artificial intelligence will solve the rigidity of centralized reputation systems are misguided and will fail for the same reason, because neural networks are merely a complex mathematical architecture for statistical regression, which is always extremely unreliable when applied to novel situations.
  > Suggestions that AI will solve these problems are misguided, and will fail for the same reason. Neural networks are merely a complex mathematical ar- chitecture for performing statistical regression, which is always extremely unreliable when applied to novel situations.
  Craig Calcaterra, Wulf A. Kaal, Future of Decentralization (2021). SSRN: https://ssrn.com/abstract=3782201

## 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/social-credit.md | sha256sum

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