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The Download: AI Headphone Translation, and the Link between Microbes and...

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The Shift from Models to Compound AI Systems

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New generative AI tools open the doors of music creation

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The AI for Science Forum: A new era of discovery

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AlphaQubit tackles one of quantum computing’s biggest challenges

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That Sports News Story You Clicked on Could Be AI Slop

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AI Agents Are Here. How Much Should We Let Them Do?

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Keeping it PX: How AI is Bringing Patient Experiences into the...

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Rethinking AI: The Push for a Right to Repair Artificial Intelligence

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Generative AI search: 10 Breakthrough Technologies 2025

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AI Search Engine for RAG & AI Agents

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

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Education

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

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

ByteDance has released DeerFlow, an open-source multi-agent framework designed to enhance complex research workflows by integrating the capabilities of large language models (LLMs) with domain-specific tools. Built on top of LangChain and LangGraph, DeerFlow offers a structured, extensible platform for automating sophisticated research tasks—from information retrieval to multimodal content...