Open-Source Tools

Reddit sues Anthropic over allegedly not paying training data

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Microsoft AI Introduces Magentic-UI:Ā An Open-Source Agent Prototype that Works with People...

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AI storage: NAS vs SAN vs object for training and inference

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Anthropic web configuration hints at Claude Opus 4 and Sonnet 4

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This report tried to estimate AI energy usage, which is a...

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Linux Foundation: Slash costs, boost growth with open-source AI

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Google refuses to give publishers options in AI Search

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Microsoft announces over 50 AI tools to build the ā€˜agentic web’...

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Software engineering-native AI models have arrived: What Windsurf’s SWE-1 means for...

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Salesforce AI Releases BLIP3-o: A Fully Open-Source Unified Multimodal Model Built...

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Alibaba Wan2.1-VACE: Open-source AI video tool for all

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Education

NVIDIA Introduces ProRL: Long-Horizon Reinforcement Learning Boosts Reasoning and Generalization

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Top Artificial Intelligence AI Books to Read in 2025

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Salesforce AI Introduces CRMArena-Pro: The First Multi-Turn and Enterprise-Grade Benchmark for...

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From Clicking to Reasoning: WebChoreArena Benchmark Challenges Agents with Memory-Heavy and...

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NVIDIA Introduces ProRL: Long-Horizon Reinforcement Learning Boosts Reasoning and Generalization

Recent advances in reasoning-focused language models have marked a major change in AI by scaling test-time computation. Reinforcement learning (RL) is crucial in developing reasoning capabilities and mitigating reward hacking pitfalls. However, a fundamental debate remains: whether RL provides new reasoning capabilities from a base model or just helps...