Technology

Sony reportedly cancelling Xperia 1 VII Pre-orders without Notice

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Technology

AI Is Changing the Creator Economy – Will Digital Content Lose...

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News

This benchmark used Reddit’s AITA to test how much AI models...

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Fueling seamless AI at scale

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Manufacturing

Testing the Unpredictable: Yevhenii Ivanchenko’s Breakthroughs in AI Quality Control

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I Converted My Photos Into Short Videos With AI on Honor’s...

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How the Loudest Voices in AI Went From ‘Regulate Us’ to...

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Technology

FLUX.1 Kontext enables in-context image generation for enterprise AI pipelines

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Natural Language Processing

ElevenLabs debuts Conversational AI 2.0 voice assistants that understand when to...

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Natural Language Processing

AI meets game theory: How language models perform in human-like social...

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Technology

New York Times, Amazon ink AI deal

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Featured

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Darwin Gödel Machine: A Self-Improving AI Agent That Evolves Code Using...

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A Comprehensive Coding Tutorial for Advanced SerpAPI Integration with Google Gemini-1.5-Flash...

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Meta

Meta AI’s new smart glasses experiment can see what you do...

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Google claims Gemini 2.5 Pro Preview beats DeepSeek R1 Grok 3...

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Darwin Gödel Machine: A Self-Improving AI Agent That Evolves Code Using...

Introduction: The Limits of Traditional AI Systems Conventional artificial intelligence systems are limited by their static architectures. These models operate within fixed, human-engineered frameworks and cannot autonomously improve after deployment. In contrast, human scientific progress is iterative and cumulative—each advancement builds upon prior insights. Taking inspiration from this model of...