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Structured data refers to information that is organized and formatted in a way that makes it easily searchable and analyzable by machines. It typically resides in relational databases or spreadsheets, where data is stored in rows and columns with predefined fields such as names, dates, or numerical values. In artificial intelligence and machine learning, structured data is often used for training models that require clear, labeled inputs. Because it follows consistent patterns, structured data allows for faster processing, easier integration, and more accurate analysis. However, most real-world information is unstructured, making structured data a valuable but limited component of modern AI workflows.

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