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

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Anthropic

This OnePlus tablet is better for movies and entertainment than iPads....

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Gemini 2.5 Pro now available with no limits and at a...

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ChatGPT Image Generation is now free for everyone

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ChatGPT adoption in India skyrockets, but monetization is still lagging

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OpenAI’s $20 chatGPT Plus for students is now free until the...

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Judge calls out OpenAI’s “strawman” argument in New York Times Copyright...

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AI Regulation & Ethics

South Africa’s AI policy is under pressure to deliver ahead of...

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Ant Group reduces AI costs by 20% with Chinese chips

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DeepSeek AI

DeepSeek AI supports Myanmar Earthquake Relief efforts

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AI Hardware

Wikipedia servers are under pressure from AI scraping robots

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a critical limitation persists in how these models are designed; they are trained on static datasets that become outdated over time.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