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  • When Internet Infrastructure Security Fails Without an Outage
  • The old phone vs Raspberry Pi Debate: What Can You Build for Less?
  • Why AI energy consumption by language exposes a global divide
  • Should All Code Be Open Source? The AI-Generated Code Licensing Debate

The Protec Blog

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Latest
  • When Internet Infrastructure Security Fails Without an Outage

    When Internet Infrastructure Security Fails Without an Outage

    35 minutes ago1 hour ago
  • The old phone vs Raspberry Pi Debate: What Can You Build for Less?

    The old phone vs Raspberry Pi Debate: What Can You Build for Less?

    1 hour ago2 hours ago
  • Why AI energy consumption by language exposes a global divide

    Why AI energy consumption by language exposes a global divide

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  • Should All Code Be Open Source? The AI-Generated Code Licensing Debate

    Should All Code Be Open Source? The AI-Generated Code Licensing Debate

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critical software security

When Internet Infrastructure Security Fails Without an Outage
  • Cybersecurity

When Internet Infrastructure Security Fails Without an Outage

Ellie Adam35 minutes ago1 hour ago09 mins

Learn how internet infrastructure security can erode through aging code, shared dependencies and AI-assisted attacks—and what organizations can do now.

Read More

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Two people ask an AI the exact same question. One writes in English. The other writes in Hindi.

The AI gives them answers. But behind the scenes, one request could require dramatically more computing power.

University of Michigan researchers tested AI energy consumption across 122 languages and three open-source models. Some tested non-English requests consumed up to *180 times the energy of the English baseline*

Why? The answer may be hidden in something most AI users never see: tokens.

In this animated technology documentary, we investigate the hidden energy divide in multilingual AI.

Here's what you'll discover:

*The 122-language study:* What researchers found when comparing AI inference energy across different languages.

*The tokenization problem:* Why the same meaning can produce very different numbers of tokens depending on the model.

*The 180× energy finding:* What the benchmark actually measured—and why it doesn't mean every Hindi or Bengali request uses 180 times more energy.

*Inside the AI model:* How token streams pass through neural-network layers and influence computational workloads.

*The quality gap:* Why some languages can receive less accurate answers while also requiring more computing resources.

*The hidden cost:* How inefficient tokenization can affect API usage, response times, and businesses serving multilingual customers.

*The environmental impact:* Why unnecessary computation matters as AI usage grows worldwide.

And most importantly, we'll explore what AI developers can do about it: better multilingual tokenizers, representative training data, language-specific testing, optimized models, and transparent energy measurements.

The problem isn't that Hindi, Bengali, or any other language is inherently inefficient. It's how particular AI models tokenize and process different languages.

*Should AI companies be responsible for making every language equally efficient?*

Share your thoughts in the comments.

📰 Read the full article:
https://www.theprotec.com/blog/ai-energy-consumption-by-language-global-divide/

Subscribe to The Protec for more AI investigations, technology documentaries, and emerging-tech explainers.

#ArtificialIntelligence #AI #HindiAI #BengaliAI #MultilingualAI
Does AI Charge Some Languages More Than Others? The Hidden Energy Divide
What happens when your internet suddenly goes down? Do your smart lights stop responding? Do your automations fail? Does your entire smart home become useless?

Not necessarily.

A properly designed local-first smart home can keep essential functions running even when the internet disappears. Lights can respond to motion sensors, local hubs can execute automation rules, and compatible devices can communicate without sending every command to a remote server.

In this animated technology documentary, we explore how to build a smart home that doesn't depend on the cloud for everything.

Here's what you'll discover:

*Cloud vs. Local Control:* Why some smart devices stop working when their manufacturer's servers become unavailable.

*Wi-Fi vs. Internet:* Why losing internet access doesn't necessarily mean losing your local network.

*Home Assistant:* How a local automation hub can coordinate compatible smart devices without cloud access.

*Matter, Zigbee & Thread:* How local communication technologies help devices work together.

*Offline Automations:* How motion sensors, local hubs, and smart lights can continue operating during an internet outage.

*Privacy & Reliability:* Why local-first automation can reduce cloud dependency, while still requiring proper security.

*Building Your Own Offline Smart Home:* The hardware, protocols, physical controls, and practical steps to make your setup more resilient.

But there's an important catch: not every Wi-Fi, Matter, or smart-home device works completely offline. Your hub, devices, integrations, and automation rules must all support local operation.

The goal isn't to eliminate the internet. It's to make sure your home doesn't become less functional when the connection disappears.

*Would you build a smart home that keeps working even when the internet goes down?*

Share your thoughts in the comments!

📰 Read the full guide:
https://www.theprotec.com/blog/smart-home-without-internet-offline-local-automation-guide/

Subscribe to The Protec for more technology explainers, smart-home guides, AI developments, and cybersecurity investigations.

#SmartHome #HomeAssistant #OfflineSmartHome #Matter #InternetOfThings
What If Your Smart Home Worked Without the Internet?
Amazon's Ring Drone Cam is a flying indoor security camera designed to investigate suspicious activity around your home. But is a camera that flies through your rooms really the future of home security?

Announced at $249.99, the Ring Drone Cam can follow mapped routes, respond to compatible Ring security alerts, and send live video to homeowners. It uses Ring AI Pilot and cloud-based processing to navigate your home.

But there's a catch: it reportedly flies for just *five to eight minutes* before needing to recharge.

In this video, we investigate:

🚁 How Amazon's Ring Drone Cam works and how it navigates your home  
🤖 How Ring AI Pilot uses mapping, sensors, and cloud processing  
🔋 Why five to eight minutes of flight time could limit its usefulness  
📡 Why the drone depends on Wi-Fi and Amazon's cloud services  
👁️ What happens to privacy when a camera can fly into different rooms  
🔐 What Ring's camera shutter and encryption protections actually mean  
💰 Whether a $249.99 flying camera can compete with traditional security cameras  

We also look at the difference between a mobile camera and fixed security cameras, the role of Ring Protect subscriptions, and the regulatory approval still required before the planned US launch.

The Ring Drone Cam isn't an autonomous security guard. It doesn't physically confront intruders or automatically contact emergency services just because it sees something suspicious. Its job is to investigate an alert and give homeowners another view.

*Would you let an AI-powered flying camera patrol inside your home? Or does that cross a privacy line?*

Tell us what you think in the comments.

📰 Read the full article:
https://www.theprotec.com/blog/ring-drone-cam-flying-ai-home-security-camera-privacy/

Subscribe to The Protec for more AI, cybersecurity, privacy, and emerging technology investigations.

#RingDroneCam #AmazonRing #HomeSecurity #ArtificialIntelligence #Privacy
Amazon's Ring Drone Cam: Flying AI Security or Privacy Nightmare?
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