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Sony reportedly cancelling Xperia 1 VII Pre-orders without Notice

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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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AI-Powered Smartglasses Assist the Visually Impaired

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Exciting New Features in Microsoft 365 Copilot Update

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What Is Google One? A Breakdown of Plans, Pricing, and Included...

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Teaching AI to Say ‘I Don’t Know’: A New Dataset Mitigates...

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Alibaba Qwen Team Releases Qwen3-Embedding and Qwen3-Reranker Series – Redefining Multilingual...

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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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Teaching AI to Say ‘I Don’t Know’: A New Dataset Mitigates...

Reinforcement finetuning uses reward signals to guide the toward desirable behavior. This method sharpens the model’s ability to produce logical and structured outputs by reinforcing correct responses. Yet, the challenge persists in ensuring that these models also know when not to respond—particularly when faced with incomplete or misleading...