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How Nigerian founders de-dollarise their startups

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Snowflake Charts New AI Territory: Cortex AISQL & Snowflake Intelligence Poised...

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From Exploration Collapse to Predictable Limits: Shanghai AI Lab Proposes Entropy-Based...

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Hugging Face Releases SmolVLA: A Compact Vision-Language-Action Model for Affordable and...

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OpenAI Introduces Four Key Updates to Its AI Agent Framework

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Tackling hallucinations: MIT spinout teaches AI to admit when it’s clueless

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AI enables shift from enablement to strategic leadership

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Government and Public Policy

The modern ROI imperative: AI deployment, security and governance

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Advanced audio dialog and generation with Gemini 2.5

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Energy and Utilities

Inside the effort to tally AI’s energy appetite

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The AI Art Boom: Profits, Losses, and Future

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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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AI Observer

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...