RoastMyPost
activeLLM-powered tool for evaluating blog posts, research papers, and other written content. Runs multiple AI evaluator personas (skeptic, methodologist, clarity checker, etc.) and produces structured feedback with scores. Free and open-source. Launched December 2025.
Organizations
3| QURI (Quantified Uncertainty Research Institute) | Nonprofit research organization developing tools for probabilistic reasoning, forecasting, and epistemic infrastructure. Key projects include Squiggle (probabilistic programming language), Squiggle Hub (model sharing platform), Metaforecast (forecast aggregation), SquiggleAI (LLM-powered estimation), RoastMyPost (LLM-powered content evaluation), and Guesstimate (spreadsheet for distributions). Founded in 2019 by Ozzie Gooen, evolved from earlier Guesstimate work (2016). Based in Berkeley, CA; primarily remote team of ~3-5 core contributors. Fiscally sponsored by Rethink Priorities. Funded by Survival and Flourishing Fund ($650K through 2022), Future Fund ($200K, 2022), and Long-Term Future Fund (ongoing). EIN 84-3847921. |
| Elicit (AI Research Tool) | Elicit is an AI research assistant with 2M+ users that searches 138M papers and automates literature reviews, founded by AI alignment researchers from Ought and funded by Coefficient Giving (formerly Open Philanthropy, $31M total). The platform achieved 90%+ extraction accuracy and claims 80% time savings for systematic reviews, though independent validation of these claims is limited. |
| LessWrong | LessWrong is a rationality-focused community blog founded in 2009 that has influenced AI safety discourse, receiving $5M+ in funding and serving as the origin point for ~31% of EA survey respondents in 2014. Survey participation peaked at 3,000+ in 2016, declining to 558 by 2023, with the community increasingly focused on AI alignment discussions. |
People
1| Ozzie Gooen | Founder and Executive Director of QURI (Quantified Uncertainty Research Institute). Created Guesstimate (2016) and leads development of Squiggle, a probabilistic programming language for estimation. Previously worked at the Future of Humanity Institute at Oxford. Background in programming and research focused on epistemic tools, forecasting infrastructure, and uncertainty quantification. |
Related Projects
2| SquiggleAI | LLM-powered tool for generating probabilistic models in Squiggle from natural language descriptions. |
| Squiggle | Domain-specific programming language for probabilistic estimation with native distribution types and Monte Carlo sampling. |
Related Wiki Pages
Top Related Pages
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