Zuckerberg promises "personal superintelligence" after spending billions poaching AI talent from competitors. His vision sounds remarkably similar to what OpenAI already offers. Is this innovation or desperation?
Google will sign EU's AI rules while Meta refuses, creating a strategic split in Big Tech. The divide reveals two different approaches to Europe's regulatory push as new AI laws take effect August 2.
Israeli startup Teramount raised $50M to solve AI's hidden bottleneck: connecting processors. While everyone builds faster chips, these physicists found the real problem in the wires between them. Their optical solution promises 100x speed gains.
Category: Emerging Concepts
Vector databases store and search AI embeddings to find similar content quickly.
Regular databases store text and numbers. Vector databases store embeddings - the number lists that represent words, images, or documents in AI systems.
When you search, it finds items with similar embeddings, which means similar meaning or content.
Vector databases power AI search and recommendation systems. They let AI find relevant information from large collections without exact keyword matches.
They're behind features like "find similar products" or AI assistants that search your documents.
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