News

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

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AI Hardware

Google Cloud Next ’25 -system challenge Microsoft and Amazon

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China’s AI Chatbot Price War Escalates As DeepSeek Reduces API Rates...

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AI Hardware

News industry calls on regulation as AI companies face increasing copyright...

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Anthropic

Today’s Android app deals: Death Worm Deluxe (Death Worm Deluxe), AntVentor...

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Anthropic

I found a wallet that is functional, affordable, and looks great

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Anthropic

The Gemini AI upgrade for the viral Samsung ‘Ballie” robot looks...

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Microsoft previews Spanish language voice features for Copilot Voice AI Assistant

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Anthropic’s Max Plan provides nearly unlimited Claude usage at $200 per...

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Procter & Gamble Study Finds AI Could Help Make Pringles Tastier,...

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Anthropic

GiG wants to transform one-time eventgoers

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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a critical limitation persists in how these models are designed; they are trained on static datasets that become outdated over time.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...