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Elicit - IT History Database Entry
webithistory.org·ithistory.org/db/companies/elicit
This IT History database entry provides basic company/tool registry information about Elicit; for substantive information about Elicit's role in AI safety research, primary sources from Ought or Elicit's own documentation would be more useful.
Metadata
Importance: 15/100wiki pagereference
Summary
This is an IT History database entry for Elicit, an AI-powered research assistant tool developed by Ought. Elicit uses language models to help researchers find, summarize, and analyze academic literature. It is particularly relevant to AI safety research workflows as a tool for literature review and evidence synthesis.
Key Points
- •Elicit is an AI research assistant that automates literature review tasks using large language models
- •Developed by Ought, an AI safety-focused organization working on scalable oversight
- •Helps researchers find relevant papers, extract key findings, and synthesize evidence
- •Represents a practical application of AI capabilities in scientific and safety research contexts
- •Listed in the IT History database as a notable technology company/tool
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| Elicit (AI Research Tool) | Organization | 63.0 |
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Resource ID:
c2afc815e1063e08 | Stable ID: MmIxNjM5ZW