# kaal:position:2026-07-31-4027

**Affirmed position.** A Power-Efficient Neuromorphic Digital Implementation of Neural-Glial Interactions should be assessed against Kaal's source-bound claim that No existing legal order, whether national, supranational, or private, can evolve at the speed of exponential technological change without sacrificing either legitimacy or enforceability. The current metadata indicates a plausible connection through dynamic regulation, but the defensible response is a qualification until the source text confirms agreement, scope, methods, and limitations.

**Status.** affirmed  **Published.** 2026-07-31

**Holds when.**

- exponential rates of technological change in digital domains
- External evidence level: abstract indexed.
- Mapping review tier: ambiguity triage before claim review.
- The literature-to-claim mapping remains explicitly ambiguous and should not be treated as a settled equivalence.

**Current debate.** A Power-Efficient Neuromorphic Digital Implementation of Neural-Glial Interactions: https://www.semanticscholar.org/paper/cb77b67fb9f43d32c1b61a006805c6a229d26544

**Extends.** kaal:claim:5887242-001: https://wulfkaal.github.io/claims/5887242-001

**Scholarly basis.** Wulf A. Kaal, The UDLC DAO Operationalizing a Continuously Evolving Universal Digital Law Codex Through Weighted (2025). SSRN: https://ssrn.com/abstract=5887242

**Source PDF sha256.** `4e5c2e2b4304af6d22e0b0939b1fddeabcf091e19a1b00b7bfccf77cbd6280c5`

**Evidence level.** abstract indexed

**Mapping review tier.** ambiguity triage before claim review

**Mapping confidence.** 0.2226  **Mapping ambiguous.** true

**Topics.** law-and-legal-systems, institutional-design, dynamic-regulation

**Provenance.** Affirmed in historical-backfill:2026-07-31:phase-0017 at https://kaal-signal-desk.wulf577462.chatgpt.site/#review.

**Record type.** This is a dated commentary position that extends a scholarly corpus claim. It is not a verbatim claim extracted from the paper.

**Canonical form.** This markdown file is the canonical hashed representation of the position.