TheoryTHY-2026-0206v0.1
AI build–attack asymmetry (hypothesis)
AI lowers the cost of building something that works faster than the cost of building something secure, and may lower the cost of finding weak targets. The hypothesis is narrow and does not claim that current AI is a universal attacker.
Recorded fields
tags- paper 05
Relations
| Source | Relation | Target | Status | ID |
|---|---|---|---|---|
THY-2026-0206 AI build–attack asymmetry (hypothesis) | contains | CLM-2026-0205 H5 — AI-assisted building grows low-maturity targets faster than defensive automation shrinks them | ACTIVE | REL-2026-0516 |
RES-2026-0201 Why passing checks does not close the publication boundary | develops | THY-2026-0206 AI build–attack asymmetry (hypothesis) | ACTIVE | REL-2026-0509 |
PAP-2026-0206 Paper 05 — AI build–attack asymmetry | formalizes | THY-2026-0206 AI build–attack asymmetry (hypothesis) | ACTIVE | REL-2026-0537 |
History and provenance
- Canonical URL
- https://evemisslab.com/ai/theory/THY-2026-0206/
- Machine-readable
/ai/theory/THY-2026-0206/index.json- Snapshot
AI-SNAPSHOT-v0.1-58e716495670- Provenance
source- EveMissLab research collection: AI Agent Publication Boundary and Security Closure (真本體論14)
extracted_by- Splice (Claude Code), reading the open-source release's own manifests, locks and pooled outputs, and the hashes of the internal drafts
extracted_at- 2026-10-13
generator- tools/extract_all.py
claim_boundary- status, evidence level and result type follow the source artifact's own stated claim boundary; nothing is upgraded beyond what the report supports