News

A Deep Technical Dive into Next-Generation Interoperability Protocols: Model Context Protocol...

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Meta predicted that it would generate $1.4T of revenue from generative...

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Anthropic

Withings ScanWatch Nova Brilliant Edition now available in Australia.

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Anthropic

Disney is giving its awesome Star Tours toy a fresh coat...

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Anthropic

AI infrastructure investment could be $8T in the dark

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Anthropic

Chris Krebs loses Global Entry membership amid Trump’s feud

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News

NVIDIA denies reports that it will split off its China business...

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Meta

Mark Zuckerberg claims that Meta is a mulling ad and a...

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Wanna scan your iris for crypto? Sam Altman’s orb comes to...

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Microsoft’s new Phi 4 AI model, which is the most powerful...

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Sam Altman’s World unveiled a mobile verification device.

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Education

ZeroSearch from Alibaba Uses Reinforcement Learning and Simulated Documents to Teach...

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Understanding the Dual Nature of OpenAI

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Lightricks Unveils Lightning-Fast AI Video

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Education

Fine-tuning vs. in-context learning: New research guides better LLM customization for...

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ZeroSearch from Alibaba Uses Reinforcement Learning and Simulated Documents to Teach...

Large language models are now central to various applications, from coding to academic tutoring and automated assistants. However, a critical limitation persists in how these models are designed; they are trained on static datasets that become outdated over time. This creates a fundamental challenge because the language models cannot...