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Web Scraping - Page 5

Web scraping extracts structured information from webpages, often converting visible tables, listings, text, or metadata into a reusable dataset. A scraper may parse downloaded HTML, interact with a rendered page, or use an official API when available. AI teams use scraped data for monitoring, research, retrieval, and model development, but technical access does not automatically grant permission to reuse content. Scraping must account for copyright, privacy, terms of service, robots rules, rate limits, and sensitive information. Page layouts change frequently, so production scrapers need validation, error handling, provenance, deduplication, and monitoring to prevent silent corruption of downstream analytics or AI outputs.

Andrew Tulloch Leaves $12B AI Startup to Join Meta After Turning Down $1.5B Offer
By • 3 mins read
AI & Machine Learning, Immersive Reality (AR, VR, MR, and XR), News, Startups & Investment

Andrew Tulloch Leaves $12B AI Startup to Join Meta After Turning Down $1.5B Offer

By • 3 mins read

Andrew Tulloch, co-founder of the $12 billion AI startup Thinking Machines Lab, has joined Meta after previously rejecting what reports described as a $1.5 billion offer — a figure Meta has since called ‘inaccurate and ridiculous.’