Agent2Agent Protocol

Agent2Agent: Exciting New Protocol for Seamless AI Collaboration

Agent2Agent (A2A) is making waves in the tech world with its promise to revolutionize how AI agents collaborate across various platforms and vendors. As Google announces this open interoperability protocol, it aims to dissolve the barriers that have traditionally kept AI systems siloed and unable to communicate effectively. By standardizing interactions between different agents, A2A […]

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AI Patents

AI Patents Surge: China Leads in Filings, But US Dominates Model Production

When it comes to AI patents, China is undeniably leading the charge. The 2025 AI Index report from Stanford’s Institute for Human-Centered AI reveals that China files more AI-related patents than any other country, including the United States. This surge in filings reflects a strategic push by Chinese companies and the government to establish dominance

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Llama 4 Maverick

Meta’s Llama 4 Launches Exciting New AI Models: Scout, Maverick, Behemoth with 2TB parameters!

Llama 4 has officially launched. Meta’s latest iteration of its Llama series introduces three exciting new models: Scout, Maverick, and Behemoth, boasting capabilities that promise to enhance various applications across industries. With a staggering total of 2 trillion parameters in its Behemoth model alone, Llama 4 represents a significant leap forward in AI technology. Here’s

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OpenAI Academy

OpenAI Academy Launches: Enhance Skills and Get Free Credits Today!

OpenAI Academy is entering into artificial intelligence education. This initiative presents a free platform that caters to a diverse audience, from budding enthusiasts to seasoned developers. Whether you’re looking to reskill for a new job or simply want to understand AI’s impact on your life, this academy has something for everyone. What is OpenAI Academy?

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What is Model Context Protocol (MCP)? Importance and Benefits for Building AI Applications

What is Model Context Protocol (MCP)? Importance and Benefits for Building AI Applications

Model Context Protocol (MCP) is an innovative standard that seeks to contribute in how artificial intelligence interacts with external data sources and tools. As AI technologies evolve, the need for seamless integration between AI models and diverse datasets becomes crucial. Model Context Protocol (MCP) emerges as a solution to this challenge, offering a structured way

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OpenAI and MCP

OpenAI and MCP: Sam Altman announces support for Anthropic’s Model Context Protocol

New support has appeared between OpenAI and MCP to get better connectivity between AI models and data sources. Recently, Sam Altman, CEO of OpenAI, announced the company’s support for Anthropic’s Model Context Protocol (MCP). This open-source standard is designed to enhance how AI systems interact with various types of information, leading to more accurate and

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AI Crawlers Overwhelm Open-Source Projects, Causing Major Traffic Shifts, Developers Protest

AI crawlers are causing significant disruption and prompting protests from developers. As these automated bots increasingly scrape public repositories for data, they are overwhelming infrastructure designed to support collaborative development. The consequences of this aggressive crawling are being felt across numerous platforms, with many developers raising their voices against the impact on their work. Impact

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Qwen2.5-VL-32B Launches with Improved Human Alignment and Reasoning

Qwen2.5-VL-32B is showcasing significant advancements over its predecessors. This model, released under the Apache 2.0 license, is designed to enhance human alignment and mathematical reasoning capabilities. With a parameter count of 32 billion, it strikes a balance between performance and usability, making it an attractive option for developers and researchers alike. Qwen2.5-VL-32B Overview What is

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DeepSeek V3

DeepSeek V3 Launches Exciting MIT-Licensed Model with Enhanced Features

DeepSeek V3 is the latest iteration of a powerful large language model developed by the Chinese AI lab DeepSeek. Officially named DeepSeek-V3-0324, this model boasts an impressive architecture that includes 685 billion parameters, making it one of the most formidable contenders in the realm of artificial intelligence. It succeeds its predecessor, which was initially released

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