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cnet
EV, Solar Tax Credits Would End This Year Under House Republicans' Plan

The proposal would mean an early expiration date for several energy-related federal tax incentives. [...]

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cnet
A Lifetime of Streamed Documentaries Costs Just $160, But Time's Running Out on This Deal

Watch thousands of hours of educational content with this limited-time deal. [...]

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cnet
8 Steps for Homeowners When Your Property Is Destroyed by a Wildfire

If your home was affected by the devastating wildfires in Los Angeles, here's how you can submit an insurance claim. [...]

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cnet
Schlage's Latest Lock Predicts Exactly When You'll Reach the Door at CES 2025

We spotted a new smart lock trick at CES: Schlage uses connectivity to predict when and how you're coming home and unlocks at just the right time. [...]

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fastcompany
Gen Z is turning to ChatGPT for outfit advice

With new shopping features and personalized recommendations, OpenAI’s chatbot is becoming the go-to stylist for a generation navigating fashion one prompt at a time. [...]

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cnet
Best Internet Providers in San Francisco

Bay Area residents can choose from a wide range of internet providers. Here are our top picks that offer reliable and affordable plans. [...]

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Destination
Evolving from Bots to Brainpower: The Ascendancy of Agentic AI

What truly separates us from machines? Free will, creativity and intelligence? But think about it. Our brains aren't singular, monolithic processors. The magic isn't in one “thinking part,” but rather in countless specialized agents—neurons—that synchronize perfectly. Some neurons catalog facts, others process logic or govern emotion, still more retrieve memories, orchestrate mov [...]

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cnet
Blue Apron Review: 3 CNET Editors Test the Popular Meal Kit Service

A meal kit expert, a wellness editor and a cooking newbie tried Blue Apron meal kits for a week. Here's what we thought. [...]

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Destination
Irrelevant input causes LLM failures — what it means for writing effective prompts

A recent study from the Massachusetts Institute of Technology examines how large language models (LLMs) respond to systematic disruptions in prompt design when solving math word problems. The findings indicate that even minor additions of irrelevant context can significantly degrade performance.<br /> The article Irrelevant input causes LLM failures — what it means for writing effective pr [...]

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