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A white box model is an AI or statistical system whose internal logic can be inspected and explained directly. Linear models, small decision trees, and rule-based systems are common examples because people can trace how inputs contribute to an output. This transparency supports debugging, audits, regulatory review, and challenges to consequential decisions. White box does not automatically mean accurate, fair, or simple for every audience; a model may still use poor data or contain hundreds of difficult rules. Teams balance interpretability with predictive performance and present explanations in language suited to users, domain experts, and auditors. Documentation and validation remain necessary even when the calculation is visible.

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