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Ozzie Gooen (OAGr) - GitHub Profile

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GitHub·github.com/OAGr

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: GitHub

GitHub profile of Ozzie Gooen, creator of Squiggle (a probabilistic programming language for uncertainty quantification) and Guesstimate, tools relevant to AI safety forecasting and decision-making under uncertainty.

Metadata

Importance: 25/100homepage

Summary

This is the GitHub profile of Ozzie Gooen, a researcher and developer associated with the Quantified Uncertainty Research Institute (QURI). His pinned repositories include Squiggle, a probabilistic programming language for uncertainty estimation, and Guesstimate, a tool for Fermi and Monte Carlo estimates. These tools are relevant to AI safety through their application in forecasting and quantifying uncertainty.

Key Points

  • •Creator of Squiggle, a probabilistic programming language used for uncertainty quantification in forecasting contexts
  • •Creator of Guesstimate, a widely-used tool for Fermi estimation and Monte Carlo analysis (2.4k GitHub stars)
  • •Associated with Quantified Uncertainty Research Institute (QURI), which develops tools for AI safety-relevant forecasting
  • •Based in Berkeley, CA — a hub for AI safety research organizations

1 FactBase fact citing this source

EntityPropertyValueAs Of
Ozzie GooenGitHubhttps://github.com/OAGr—

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 quantified-uncertainty/ squiggle quantified-uncertainty/squiggle Public 
 
 

 
 This monorepo covers multiple QURI projects, including Squiggle language, Squiggle Hub and Metaforecast
 

 
 
 
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 Create Fermi Estimates and Perform Monte Carlo Estimates
 

 
 
 
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