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Using agents to build economic datasets - Marginal REVOLUTION
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Using agents to build economic datasets - Marginal REVOLUTION

Marginal REVOLUTION·Tyler Cowen·4 months ago
#ZlCHdrsZ

Constructing datasets from primary sources is one of the costliest tasks in empirical economics. We propose Deep Research on a Loop (DRIL), a methodology that uses AI agents to assemble datasets from publicly available sources.…

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I made a lightweight breach intelligence search engine (fully client-side) looking for feedback
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I made a lightweight breach intelligence search engine (fully client-side) looking for feedback

Reddit r/hacking·u/ShuhaibNC·5 months ago
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#client#side#datasets#wanted#breach#article

I’ve been working on a small project called BreachMon, mainly as a way to explore and analyze publicly available breach/leak datasets without relying on backend services.…

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[Self-Promotion][Custom Dataset Infrastructure] Where public datasets keep falling short for production AI systems

Over the past few months, we’ve been helping teams source highly specific datasets that public benchmarks consistently miss. Some examples: \- Off-script voice agent conversations (interruptions, objections, mixed intent) \- Real human SaaS workflow…

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How are you validating numbers when you’re pulling from multiple datasets?

Reddit r/analytics·u/Prior_Statement_6902·5 months ago
#YfUP35Ff

What rule of thumb do you use for number validation when you’re pulling form 2-3 different sources? My numbers never line up cleanly thanks to different defintions/update cycles/reporting periods so there’s always a mismatch that needs explaining, even if…

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