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How Nigerian founders de-dollarise their startups

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Surveys face a crisis as AI agents replace human respondents

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AI’s impact on energy is still small, but how we deal...

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Anthropic

WordPad is no more in Windows 11, however Notepad has absorbed...

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Anthropic

Grab it before it ends

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Multimodal Foundation Models Fall Short on Physical Reasoning: PHYX Benchmark Highlights...

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A Coding Guide to Building a Scalable Multi-Agent Communication Systems Using...

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This AI Paper Introduces ARM and Ada-GRPO: Adaptive Reasoning Models for...

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Cisco’s Latest AI Agents Report Details the Transformative Impact of Agentic...

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This AI Paper from Microsoft Introduces WINA: A Training-Free Sparse Activation...

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Meet NovelSeek: A Unified Multi-Agent Framework for Autonomous Scientific Research from...

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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...