The Information's TITV OpenAI’s Secret ‘Garlic’ Model, C3 AI’s Turnaround Plan, Robotics and D.C. | Dec 4, 2025
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Dec 4, 2025 Catherine Perloff, a tech reporter focused on bot detection, discusses the confusion web publishers face over traffic sources and emerging solutions to combat AI scraping. Steven Ehikian, CEO of C3 AI, shares insights from his first 90 days, detailing revenue challenges and a renewed focus on enterprise AI. Stephanie Palazzolo explores OpenAI's new 'Garlic' model designed to counter Google’s Gemini 3, while discussing the 'split brain' issue affecting model training. Finally, Rocket Drew analyzes the latest in robotics policy and the rising costs from tariffs.
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Publishers Can't Tell Humans From AI Crawlers
- Web publishers face rising uncertainty distinguishing human visitors from AI-driven crawlers as scraping becomes more sophisticated.
- That ambiguity undermines publishers' ability to monetize and negotiate licensing with AI companies.
Use Specialists To Measure And Block Bots
- Use specialist bot-management vendors like DataDome or Human to detect and block sophisticated crawlers.
- Combine blocking tools with analytics (e.g., Dark Visitors) to quantify bot traffic for commercial negotiations.
Quantifying Crawls Creates Licensing Leverage
- Publishers aim to quantify AI crawls to gain leverage in licensing talks and propose pay-per-crawl or pay-per-query models.
- Without measurable metrics, publishers risk being unable to monetize AI usage of their content.