Direction, evidence grade, and study type are AI-generated labels (gpt-5-mini), not human-verified. Syntheses are LLM-written. "Tensions" are machine-detected candidates, not confirmed contradictions. A research-acceleration tool, not peer review.
How this is built →
1Distinct papers
14Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5135597555
ORCID evidence
No valid ORCID is stored.
Observed aliases (2)
- Ori Livson (openalex, provider refresh)
- Ori Livson (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Governance: 1 paper
- Human Ai Collab: 1 paper
- Innovation: 1 paper
Claim outcomes
- Innovation Output: 1 paper
- Ai Safety And Ethics: 1 paper
- Decision Quality: 1 paper
- Firm Revenue: 1 paper
- Governance And Regulation: 1 paper
- Market Structure: 1 paper
Papers in the OpenAlex view
Latest stored OpenAlex author observations only. Citation counts below are from the same provider and are not combined with other services.
Scroll the table horizontally to see every column.
| Paper | Author evidence | Date | Provider citations |
|---|---|---|---|
| Two deep algorithmic bottlenecks — the origin of separable information codes and of symbolic language — make the evolution of advanced intelligence intrinsically fragile and rare; analogous thresholds in AI suggest that transformative breakthroughs could be concentrated, high-value, and brittle, underscoring policy and coordination risks.openalex | Ori Livson provider id |
2026-09-01 | 0 |
Citation observation summary
OpenAlex supplied counts for 1 of 1 papers in this view; 0 are missing. The observed paper counts sum to 0 cumulative citations. This is a coverage summary, not an author score or h-index.