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Elicit Team Page

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Elicit·elicit.com/team

Credibility Rating

3/5
Good(3)

Good quality. Reputable source with community review or editorial standards, but less rigorous than peer-reviewed venues.

Rating inherited from publication venue: Elicit

Elicit (by Ought) is a research assistant tool with ties to the AI safety community, particularly around scalable oversight; this team page is primarily useful for identifying key personnel and organizational context.

Metadata

Importance: 18/100tool pagehomepage

Summary

The team page for Elicit, an AI-powered research assistant developed by Ought, focused on automating literature review and research tasks. Elicit uses language models to help researchers find, summarize, and analyze academic papers. The organization is mission-driven around safe and beneficial AI development.

Key Points

  • •Elicit is built by Ought, a research lab focused on using ML to augment human reasoning and research workflows.
  • •The team works on AI tools designed to assist researchers in finding and synthesizing scientific literature.
  • •Elicit's development reflects an alignment-conscious approach to deploying capable AI systems in research contexts.
  • •The team page provides information about the people behind the tool and the organization's values.
  • •Ought/Elicit is notable in the AI safety ecosystem as a practical application of scalable oversight ideas.

Cited by 1 page

PageTypeQuality
Elicit (AI Research Tool)Organization63.0

Cached Content Preview

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Team | Elicit: The AI Research Assistant 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 Interested in joining our team?

 Explore opportunities to work with us.

 See open roles Our team

 Leadership

 Andreas Stuhlmüller

 Cofounder & CEO Before starting Elicit, Andreas was a postdoctoral researcher in Noah Goodman's Computational Cognitive Science lab at Stanford. He co-created WebPPL, a programming language for probabilistic machine learning. 

 He holds a Ph.D. in Cognitive Science from MIT, where he worked in Josh Tenenbaum's group.

 Jungwon Byun

 Cofounder & COO Prior to Elicit, Jungwon was the Head of Growth at Upstart, where she helped the company scale 5x in revenue and originations. 

 Before Upstart, Jungwon was a management consultant at Oliver Wyman and the Executive Director / CEO of Elmseed Enterprise Fund. She graduated cum laude from Yale, and holds a B.A. in economics.

 James Brady

 Head of Engineering James leads our engineering team. He joined Elicit from Spring, where he was VP of Technology leading the development of their creator commerce platform. 

 Before Spring, James founded startups in the personal knowledge management and developer tools spaces, then brought a team to Square to build their Payroll product.

 Sarah Park

 Head of Operations Sarah is an Operations leader with a background spanning SaaS, online media, and hospitality. Prior to Elicit, she was Head of People at Geneva and President at MeetEdgar. 

 Sarah is an advocate for building sustainable, people-first companies and communities.

 Brad Artziniega

 Head of Design Brad is a product designer who previously worked at Figma, Medium, and IDEO as well as founding several startups of his own. 

 He holds an M.S. in Mechanical Engineering from MIT where he studied fluid dynamics and a B.S. from University of California San Diego in Mechanical Engineering.

 Product & Design

 Kadir Annamalai

 Product Manager Kadir is a product leader with experience in e-commerce, marketplaces, and autonomous transportation. 

 Before Elicit, he led the autonomous delivery experience at Cruise and the product and design team at Spring, a creator commerce platform. He holds a BS in Electrical Engineering from Princeton and an MBA from Stanford.

 Hamsa Pillai

 Product Manager Before Elicit, Hamsa was an APM at Google where he worked on making Google's first LLMs safe for release. He also worked as a technical writer and founded a startup focused on making the news more useful to people. 

 He graduated from Duke with a B.S. in Computer Science.

 Étienne Fortier-Dubois

 Eval Specialist Étienne specializes in designing evaluations of Elicit's AI outputs. Before Elicit, he studied evolutionary biology and computer science, and worked as a software engineer in natural language processing at Druide informatique. 

 He's also a blogger and occasional freelance writer.

 Ben Rachbach

 Evaluation Product Manager B

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