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I scraped 1.94M Airbnb photos for opium dens, pet cameos, and messy kitchens

By PulseAugur Editorial · [1 sources] ·

Researchers utilized the Burla parallel processing library to analyze 1.94 million Airbnb photos and reviews across 119 cities. They employed CLIP for initial image scoring and Claude Haiku Vision for detailed verification of suspicious listings, identifying categories like opium dens, pet cameos, and messy kitchens. The process also involved scoring reviews using a multi-tier funnel, including embedding and Haiku Vision analysis, to flag unusual properties. AI

IMPACT Demonstrates novel applications of multimodal models for large-scale data analysis and content moderation.

RANK_REASON The cluster describes a demonstration of a data processing library using AI models for analysis, which falls under research.

Read on Hacker News — AI stories ≥50 points →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

I scraped 1.94M Airbnb photos for opium dens, pet cameos, and messy kitchens

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The cluster describes a demonstration of a data processing library using AI models for analysis, which falls under research.
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149 days old
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COVERAGE [1]

  1. Hacker News — AI stories ≥50 points TIER_1 English(EN) · jmp1062 ·

    I scraped 1.94M Airbnb photos for opium dens, pet cameos, and messy kitchens

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