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AI tool uses face photos to estimate biological age and predict...

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Anthropic

Tesla threatens to sue Canadian Government over frozen incentives

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Anthropic

Telus increases plan prices again and adds a $5/mo credit.

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Anthropic

With 600 million monthly active users, X’s Linda Yaccarino doubles down...

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Today, Alienware x16 R2 gaming notebook with RTX RTX 4070 is...

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Apple

Get the Apple AirPods Pro while they’re on sale for $170

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DeepMind

NotebookLM, Google AI’s acceptable face, will get an app in May

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DeepMind

One of Google’s recent Gemini AI models scores worse on safety

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DeepMind

Google AI Mode brings one-tap search and a smooth iOS glow

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OpenAI overruled the concerns of expert testers and released sycophantic GPT-4o...

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OpenAI announces ChatGPT shopping features

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Is Automated Hallucination Detection in LLMs Feasible? A Theoretical and Empirical...

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This AI Paper Introduce WebThinker: A Deep Research Agent that Empowers...

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A Step-by-Step Guide to Implement Intelligent Request Routing with Claude

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Researchers from Fudan University Introduce Lorsa: A Sparse Attention Mechanism That...

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AI Observer

Is Automated Hallucination Detection in LLMs Feasible? A Theoretical and Empirical...

Recent advancements in LLMs have significantly improved natural language understanding, reasoning, and generation. These models now excel at diverse tasks like mathematical problem-solving and generating contextually appropriate text. However, a persistent challenge remains: LLMs often generate hallucinations—fluent but factually incorrect responses. These hallucinations undermine the reliability of LLMs, especially...