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
0Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2025. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5121330327
ORCID evidence
No valid ORCID is stored.
Observed aliases (4)
- Ali Merali (openalex, provider refresh)
- Ali Merali (openalex, source metadata)
- Merali, Ali (openalex, provider refresh)
- Merali, Ali (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Human Ai Collab: 1 paper
- Productivity: 1 paper
Claim outcomes
- Task Completion Time: 1 paper
- Fiscal And Macroeconomic: 1 paper
- Other: 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 |
|---|---|---|---|
| Advances in large language models speed professional work: each year of model progress reduces task time by about 8%, driven roughly 56% by added compute and 44% by algorithmic gains. The benefits concentrate in non-agentic analytical tasks, and if current scaling continues the authors estimate roughly a 20% boost to U.S. productivity over ten years—an extrapolation that rests on strong assumptions.openalex | Merali, Ali provider id |
2025-12-24 | 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.