Technology

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The rise of browser use agents: Why Convergence’s Proxy is beating...

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Grok blocked results saying Musk & Trump “spread false information”

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Anthropic

Blackstone in Talks to Issue AirTrunk-Linked ABS and More Asia Real...

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Anthropic

Over 25 years of serving tech enthusiasts.[19459019]Record $1.5 billion crypto-heist hits...

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Anthropic

University of Minnesota sued for AI expulsion by student who claims...

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News

Nvidia is investigating RTX50 crashes and black screen problems, but there...

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Anthropic

Study finds Meta, X approved ads containing violent antisemitic, anti-Muslim hate...

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Anthropic

Court filings show Meta staffers discussed using copyrighted content for AI...

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Anthropic

Brian Armstrong says Coinbase spent $50M fighting SEC lawsuit — and...

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Anthropic

Apple Intelligence powered ‘Priority Notifications” will be available in iOS 18.4

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Education

This AI Paper Introduces Differentiable MCMC Layers: A New AI Framework...

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Researchers at UT Austin Introduce Panda: A Foundation Model for Nonlinear...

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Education

Qwen Researchers Proposes QwenLong-L1: A Reinforcement Learning Framework for Long-Context Reasoning...

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Natural Language Processing

Meta AI Introduces Multi-SpatialMLLM: A Multi-Frame Spatial Understanding with Multi-modal Large...

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This AI Paper Introduces Differentiable MCMC Layers: A New AI Framework...

Neural networks have long been powerful tools for handling complex data-driven tasks. Still, they often struggle to make discrete decisions under strict constraints, like routing vehicles or scheduling jobs. These discrete decision problems, commonly found in operations research, are computationally intensive and difficult to integrate into the smooth, continuous...