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Apple’s silicon roadmap is sweeping, with the M6, M7 and smart...

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NVIDIA, Oracle and other US AI chip manufacturers oppose new US...

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OpenAI’s agentic age begins: ChatGPT Tasks provides job scheduling, reminders, and...

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ChatGPT now handles reminders and to-dos.

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Samsung teases Bixby AI makeover

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Google tests simpler Circle to Search

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Google Photos removing the ‘Memories tab’ on Android

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Meta accused of using pirated torrents to train its AI

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Meta AI’s Llama Language Model modded to run in old Xbox...

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OpenAI presents a new blueprint for AI regulation that is its...

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Mercedes-Benz Virtual Assistant uses Google Conversational AI agent

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

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Enterprise AI Without GPU Burn: Salesforce’s xGen-small Optimizes for Context, Cost,...

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ByteDance Open-Sources DeerFlow: A Modular Multi-Agent Framework for Deep Research Automation

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Microsoft Researchers Introduce ARTIST: A Reinforcement Learning Framework That Equips LLMs...

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

As autonomous systems increasingly rely on large language models (LLMs) for reasoning, planning, and action execution, a critical bottleneck has emerged, not in capability but in communication. While LLM agents can parse instructions and call tools, their ability to interoperate with one another in scalable, secure, and modular ways...