News

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

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News

Mark Zuckerberg plans to create a premium tier for Meta’s AI...

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News

OpenAI pulls plug on ChatGPT smarmbot that praised user for ditching...

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News

Meta.AI is now available in your AI folder, alongside Gemini, Copilot...

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AI Hardware

As AI lawsuits mount, publishers still struggle to block the bots

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AI Hardware

Agent Pay from Mastercard transforms the way enterprises use AI search

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Anthropic

AI in national security raises privacy and proportionality concerns

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Anthropic

FCA wants to create a’safe space’ for finance firms that want...

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Anthropic

Government receives 200 bids from local authorities who want AI growth...

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Anthropic

Scattered Spider is on the hook for M&S Cyber Attack

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Apple

Researchers find multiple Apple AirPlay vulnerabilities that allow “wormable” exploits to...

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Featured

Education

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

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News

Understanding the Dual Nature of OpenAI

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News

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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AI Observer

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a critical limitation persists in how these models are designed; they are trained on static datasets that become outdated over time.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