Home Glossary Grounding

Grounding - Page 10

Grounding connects an AI response to specific information, rules, tools, or real-world context instead of relying only on patterns learned during training. A grounded assistant might retrieve an approved policy, quote a supplied document, check a database, or use a calculator before answering. This can improve relevance and reduce unsupported claims, especially when facts are current or organization-specific. Grounding does not make an output automatically correct: the source may be outdated, retrieval may miss the best passage, and the model can still misinterpret evidence. Reliable systems preserve citations, restrict source access, evaluate answer support, and distinguish retrieved facts from generated conclusions.

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.’