Technology

Sony reportedly cancelling Xperia 1 VII Pre-orders without Notice

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

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Education

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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Technology

How Apple Lost the AI Race Ahead of WWDC 2025

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Technology

Moments Lab Secures $24 Million to Redefine Video Discovery With Agentic...

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Technology

Any AI Agent Can Talk. Few Can Be Trusted

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Featured

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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...