{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/ecba60be79d54ea7841199520d255e69\" frameborder=\"0\" width=\"1920\" height=\"1440\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1440,"width":1920,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1440,"thumbnail_width":1920,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/ecba60be79d54ea7841199520d255e69-57555848dafd9b0b.gif","duration":61.441,"title":"Fixing Fake Reviews in Online Shopping","description":"This Loom explains how a new search tool is meant to fix broken online shopping caused by fake or artificially inflated reviews. The presenter notes that the problem is worsening as AI agents become more relevant. The tool lets users search for products, such as couches under $800, and then scrapes the web to find relevant options. The goal is to help users avoid products that look too good to be true."}