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Microsoft AI Introduces Code Researcher: A Deep Research Agent for Large...

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Nvidia CEO urges Japan Gov’t to expand electric to fuel AI

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The Download: A new form of AI surveillance and the US-China...

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New Apple AI model creates 3D scenes using just three images

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Offline Video-LLMs Can Now Understand Real-Time Streams: Apple Researchers Introduce StreamBridge...

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A Step-by-Step Guide on Building, Customizing, and Publishing an AI-Focused Blogging...

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Multimodal AI Needs More Than Modality Support: Researchers Propose General-Level and...

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OpenAI Releases HealthBench: An Open-Source Benchmark for Measuring the Performance and...

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RL^V: Unifying Reasoning and Verification in Language Models through Value-Free Reinforcement...

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Implementing an LLM Agent with Tool Access Using MCP-Use

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A Step-by-Step Guide to Deploy a Fully Integrated Firecrawl-Powered MCP Server...

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OThink-R1: A Dual-Mode Reasoning Framework to Cut Redundant Computation in LLMs

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The launch of ChatGPT polluted the world forever, like the first...

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The Silent Revolution: How AI-Powered ERPs Are Killing Traditional Consulting

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Tether Unveils Decentralized AI Initiative

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OThink-R1: A Dual-Mode Reasoning Framework to Cut Redundant Computation in LLMs

The Inefficiency of Static Chain-of-Thought Reasoning in LRMs Recent LRMs achieve top performance by using detailed CoT reasoning to solve complex tasks. However, many simple tasks they handle could be solved by smaller models with fewer tokens, making such elaborate reasoning unnecessary. This echoes human thinking, where we use fast,...