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
2Unique collaborators
1/1OpenAlex citation coverage
Publication span: 2026. Corpus fetch span: 2026.
Identity provenance
Provider IDs
- Openalex:
A5128518681
ORCID evidence
No valid ORCID is stored.
Observed aliases (4)
- Sokolov, Vadim (openalex, provider refresh)
- Sokolov, Vadim (openalex, source metadata)
- Vadim Sokolov (openalex, provider refresh)
- Vadim Sokolov (openalex, source metadata)
Topics and outcomes in this view
Assessment themes
- Governance: 1 paper
- Human Ai Collab: 1 paper
- Innovation: 1 paper
- Productivity: 1 paper
Claim outcomes
- Other: 1 paper
- Decision Quality: 1 paper
- Governance And Regulation: 1 paper
- Adoption Rate: 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 |
|---|---|---|---|
| Physical and economic constraints still leave an enormous unused LLM question budget: at current efficiencies the US could support roughly 225,000 tokens per person per day by 2028—thousands of times current usage. But the paper warns that abundance of computation doesn't solve the harder problem of agency and direction—deciding which questions are worth asking will determine real value.openalex | Sokolov, Vadim provider id |
2026-02-23 | 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.