Purpose. This is a public research canon on a single claim: AI “intellectual ability” is a system-level property, not a model-level score. Modern benchmarks measure fragments of cognition, but real-world reliability requires additional capabilities—delegation, escalation, persistence, memory, persona constraints, and governance.

This page provides a suggested reading order and links to the full preprints on SSRN.

Start Here (3-paper path)

1. Paper 1 — LLM Benchmarks as Cognitive Inventories: What They Measure—and What They Miss
   Why benchmarks mislead: they measure fragments, not operational competence.
   Read on SSRN
2. Paper 3 — Why Intellectual Ability Emerges at the System Level, Not the Model Level
   The core thesis: intelligence is emergent in systems with orchestration and control.
   Read on SSRN
3. Paper 5 — Delegation, Not Automation, Is the Real Economic Multiplier of Generative AI
   The economic argument: delegation expands capacity without zero-sum displacement.
   Read on SSRN

Prefer governance? Start with Papers 10–11 after Paper 3.
Prefer education? Read Paper 12 after Papers 1–3.

The Canon (All Papers)

Each paper is a self-contained contribution; together they form a single, coherent framework.

1. LLM Benchmarks as Cognitive Inventories: What They Measure—and What They Miss
   https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6938178SSRN link 
2. Beyond Accuracy: A Capability-Complete Definition of AI Intellectual Ability
   https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6966421SSRN link
3. Why Intellectual Ability Emerges at the System Level, Not the Model Level
   https://papers.ssrn.com/sol3/papers.cfm?abstract_id=6976018SSRN link
4. Unbenchmarked but Essential: Delegation, Escalation, and Persistence as Intellectual Capabilities
   https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7003698SSRN link
5. Delegation, Not Automation, Is the Real Economic Multiplier of Generative AI
   https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7013578SSRN link
6. The Permanent Vacancy Economy: How AI Delegation Can Unlock Trapped GDP
   https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7105820SSRN link
7. From Intent Declaration to Running AI Systems in 45 Seconds
   https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7162018SSRN link
8. Persona Is Not Metadata: Identity as a Delegation Constraint in AI Systems
   https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7138058SSRN link
9. AlmmaGPT: A Delegation Engine for Assembling Intellectual Ability
   https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7166218SSRN link
10. Moral Judgment as an Intellectual Capability in AI Systems
    https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7207421SSRN link
11. Why Ethical Frameworks Must Be Selected, Not Averaged
    https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7207423SSRN link
12. Generative AI as Learning Infrastructure, Not a Shortcut
    https://papers.ssrn.com/sol3/papers.cfm?abstract_id=7210440SSRN link

How to Use This Canon

• Operators: Use Papers 4–7 and 10–11 to design governed delegation workflows.
• Educators: Start with Papers 1–3, then Paper 12.
• Policy / Governance: Start with Papers 3–4, then 10–11.
• Builders: Start with Papers 3–4, then 7–9.

Citation & Versioning

Each paper is hosted on SSRN as a preprint. Please cite the SSRN version of record for stable links and updates.

SSRN Author Page: https://papers.ssrn.com/sol3/cf_dev/AbsByAuth.cfm?per_id=8432408View all papers

Contact

If you are an institution exploring governed AI delegation (education, finance, operations, or policy), you may contact the author via LinkedIN: https://www.linkedin.com/in/lucasewall/.