#AIenvironment

@newsmason.bsky.social

4 months ago

#trends today for 'ai environment' 'israel relief' & 'class action'

Click/Tap below:

www.newsmason.com?query=%22ai%...

www.newsmason.com?query=%22isr...

www.newsmason.com?query=%22cla...

#aienvironment #israelrelief #classaction

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@newsaffair.bsky.social

8 months ago

Just dropped at Phlur Beach! This stunning AI-generated environment is perfect for work or relaxation. Unique pixelated shoreline & vibrant panels. Worth the dive! 🧑‍💻🌊 #PixelPerfection #AIEnvironment 🎮💚 Buy anything with 20% discount: cutt.ly/KrRd7W5Z

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News Analysis

@newsanalysis.com

8 months ago

Scientists Just Found Something Unbelievably Grim About Pollution Generated by AI New study reveals larger, more accurate AI models consume exponentially more energy & produce higher...

New study reveals larger, more accurate AI models consume exponentially more energy & produce higher carbon emissions than smaller models. German researchers found this correlation across 14 open-source LLMs. #AIEnvironment #News

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Cozzy Energy Solutions

@energysolutions.bsky.social

9 months ago

The Environmental Burden of Artificial Intelligence The burgeoning excitement surrounding Artificial Intelligence frequently overshadows a critical and increasingly urgent concern: its escalating energy demands and resultant environmental burden. While proponents highlight AI’s potential to revolutionize various sectors, a closer examination reveals a system whose operational and developmental footprint is significantly underappreciated. The training of advanced language models, for instance, consumes vast quantities of electricity, an energy hunger often glossed over in discussions of AI's capabilities. However, the energy consumption issue extends far beyond the familiar image of sprawling data centers. A comprehensive assessment of AI's impact must account for its entire lifecycle – from the resource-intensive mining of raw materials necessary for hardware production to the eventual disposal of obsolete equipment. Each stage contributes to a substantial environmental cost that deserves careful consideration. The core argument is simple: we need to "follow the power" rather than succumb to the hype. Focusing solely on AI’s perceived advantages risks diverting attention from a fundamental question: where is this power originating, and what is its impact on existing energy infrastructure and global resources? This perspective encourages a shift away from celebrating AI's potential and towards a more grounded understanding of its practical consequences. It's becoming increasingly apparent that a disconnect exists between those promoting AI's transformative power and a realistic acknowledgement of its environmental costs. This disparity raises questions about potential hypocrisy and underscores the need for a more balanced and critical evaluation of AI's true impact. Ultimately, the continued expansion of Artificial Intelligence hinges on the development and implementation of sustainable energy solutions. A sustainable future for AI requires more than just innovation in algorithms; it demands a concerted effort to minimize its energy footprint and ensure responsible resource management.

The Environmental Burden of Artificial Intelligence #MISO #EnergyConsumption #AIEnvironment #SustainabilityNow #GreenTech #EcoInnovation

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Reed C. Hepler

@bringthehuman.bsky.social

1 year ago

www.nature.com/articles/s41... #aisky #edusky #aienvironment

Lance Cummings:
"The average US writer produces 1.7 kg of CO2 per hour
ChatGPT produces .382 of CO2 per hour
That's 1100x less impactful than if your student spent an hour writing 300 words about something they don't care about."