Technology

Enterprise AI Without GPU Burn: Salesforce’s xGen-small Optimizes for Context, Cost,...

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The Shift from Models to Compound AI Systems

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Entertainment and Media

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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Technology

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

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Technology

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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Education

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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Lightricks Unveils Lightning-Fast AI Video

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Education

Fine-tuning vs. in-context learning: New research guides better LLM customization for...

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ZeroSearch from Alibaba Uses Reinforcement Learning and Simulated Documents to Teach...

Large language models are now central to various applications, from coding to academic tutoring and automated assistants. However, a critical limitation persists in how these models are designed; they are trained on static datasets that become outdated over time. This creates a fundamental challenge because the language models cannot...