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TechCrunch - Elicit Building Tool to Automate Scientific Literature Review
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Elicit is built by Ought, an AI safety nonprofit, making this tool relevant to AI safety researchers who may use it to review alignment literature; it also illustrates how AI capabilities are being applied to accelerate scientific workflows.
Metadata
Importance: 35/100news articlenews
Summary
TechCrunch covers Elicit, an AI-powered research assistant developed by Ought that automates scientific literature review by extracting key findings from papers, synthesizing evidence, and helping researchers navigate large bodies of academic work. The tool aims to accelerate empirical research workflows by reducing the manual burden of reviewing thousands of studies.
Key Points
- •Elicit uses large language models to search, summarize, and extract structured data from scientific papers without requiring exact keyword matches.
- •The tool is designed to help researchers conduct systematic reviews faster, potentially compressing months of literature synthesis into hours.
- •Elicit was developed by Ought, an AI safety-focused nonprofit focused on augmenting human reasoning and research capabilities.
- •The product targets a practical bottleneck in scientific research: the overwhelming volume of published literature that researchers must manually process.
- •Elicit's development reflects a broader trend of applying AI capabilities to accelerate scientific progress, with implications for AI safety research itself.
Cited by 1 page
| Page | Type | Quality |
|---|---|---|
| Elicit (AI Research Tool) | Organization | 63.0 |
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# Elicit is building a tool to automate scientific literature review
[Kyle Wiggers](https://techcrunch.com/author/kyle-wiggers/)
6:00 AM PDT · September 25, 2023
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