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Google Announces A2A at Google Cloud Next: What to Know About the New Agent Interoperability Protocol

Google’s A2A protocol aims to standardize how AI agents communicate with each other, while protocols like MCP standardize how they interact with tools and data. At Google Cloud Next 2025, Google introduced Agent-to-Agent (A2A), an open protocol designed to enable AI agents to communicate, collaborate, and coordinate tasks across different systems. Supported by over 50 partners — including […]

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OpenAI and Google Reject UK Copyright Proposal: What It Means for the Future of AI Data

OpenAI and Google released statements as part of their ongoing conversations with the UK govt. around AI & copyright The latest flashpoint in the ongoing battle over AI training data has emerged in the UK, where OpenAI and Google have formally rejected a government proposal designed to grant creators more control over how their content

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Llama 4 Models ‘Herd’: What to Know about Meta’s new Open-Source Multimodal AI

New open-source models announced by Meta include Scout, Maverick & Behemoth Meta has officially released its latest family of open-source large language models — Llama 4 Scout, Llama 4 Maverick, and the forthcoming Llama 4 Behemoth. Perhaps most notably sporting massive parameter counts and context windows, here’s the latest you need to know about Meta’s

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Amazon’s New Nova Act Agent Can Navigate the Web: What to Know

Amazon today announced a new AI agent with ‘Operator’-style web browsing agentic capabilities. Is your brand ready for an increasingly agentic web? Amazon today introduced Nova Act, a general-purpose AI agent capable of navigating the web and executing tasks inside a browser — without user intervention. It’s the latest entry in a rapidly evolving race to define the

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Dappier Launches MCP Server to Power Real-Time Intelligence for AI

Whether you’re building AI copilots, internal agents, or consumer-facing tools, Dappier + MCP gives Claude superpowers Dappier + MCP gives Claude superpowers: real-time web search, stock market data, personalized recommendations, and more, for free — with agentic ads integration coming soon to introduce a fair standard for data provider compensation.  What Is MCP and Why It Matters MCP

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Unauthorized Use of Australian Authors’ Books Underscores Broken Incentives in AI Training

Meta case adds to mounting legal and public pressure around unlicensed data use in AI development Earlier this week, The Atlantic launched a searchable database for Library Genesis (LibGen), a leading repository of pirated books and media. The tool is part of its ongoing coverage of Meta’s alleged use of unauthorized data to train AI

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New Study Reveals 91% of Orgs. Express Concern Around AI and Internal Data Access

PYMNTS Intelligence March 2025 CAIO Report Expresses Apprehensions Regarding GenAI’s Impact on Sensitive Company-Wide Data A newly published March 2025 study from PYMNTS Intelligence exposes serious concerns among enterprise leaders about the implications of generative AI on internal data security, transparency, and workforce stability. The report surveyed 60 CFOs from U.S. enterprises with more than

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Why Dappier Is Building for LangChain: Enabling Real-Time AI Workflows

Exploring how Dappier can enable Langchain Developers with Free Real-Time Data LangChain is a framework that helps developers integrate large language models (LLMs) into applications, making it ideal for summarization, chatbots, and more. However, LLMs don’t have real-time awareness — they rely on pre-trained data, which limits their ability to provide up-to-date information. To solve this, Dappier

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Making Real-Time Data Free with RAG & MCP, supporting 6 Major AI Integrations

Dappier is delivering a fair alternative to data scraping, with native ads coming soon to provide compensation to data providers. AI developers need live, permissioned data to power accurate and context-aware responses — but until now, scraping has been the default. Today, Dappier is making its Real-Time Data Model free to all AI builders, enabling access to

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What is OpenAI’s New Responses API?

OpenAI expands AI agent capabilities — how businesses and developers can use them and why it matters. OpenAI has introduced the Responses API, a toolset designed to empower businesses and developers to build AI agents capable of performing autonomous tasks. These agents can search the web, navigate files, and execute computer-based actions with minimal human intervention. The Responses

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