#AIEnvironmentalImpact 🧪 #Water

I’ve had my fun with AI. More and more stories are coming out about how it’s affecting smaller communities in America

I’m good. Living in alignment and letting Universe figure out the rest 🔥💕

#AIhurtspeople #AIEnvironmentalImpact #UniverseAnswers

#AI #AIEnvironmentalImpact #AIimpact #Environment
#AIArt youtu.be/-sNKfRq1oKg?...

Elon Musk's AI Supercomputer in Memphis Raises Environmental Concerns | AI News Brew <p>In southwest Memphis, Tennessee, a former abandoned factory has been transformed into what Elon Musk claims is the 'world's largest supercomputer' for artificial intelligence (AI) training. The fac...

Elon Musk's AI Supercomputer in Memphis Raises Environmental Concerns
ainewsbrew.com/article/4254

#AIEnvironmentalImpact #ElonMusk #MemphisTech #DigitalDelta #TechVsEnvironment #AIEthics #CommunityHealth #GreenTech #AIInfrastructure #EnvironmentalJustice

Even AI agrees.

#AI #environmentalcollapse #AIenvironmentalimpact

AI is toxic to life.

#AI #AIenvironmentalimpact #technology #biodiversityloss

From Switzerland. Translated German to English. **Large AI models are dirt slingers** Tech companies sell us AI as the solution to all problems. But it consumes huge amounts of resources and pollutes the environment. The piece, written by Angela Müller of Algorithm Watch CH, critiques the environmental impact of large AI models and challenges the tech industry's narrative about AI as a solution to climate change. Key points include: 1. Despite tech companies portraying AI as an environmentally friendly cloud-based solution, the reality is that AI has significant physical and environmental costs: - Requires rare minerals for hardware - Relies on precarious click workers - Consumes massive amounts of water and energy - Has increased Microsoft's and Google's CO2 emissions by 30% and 50% respectively 2. The article challenges common arguments from tech companies and figures like Bill Gates that: - AI's future climate benefits will outweigh current costs - Increasing investment in larger AI models is necessary - AI will eventually become environmentally sustainable 3. The author argues that smaller, specialized AI systems developed by public scientific institutions often provide more sustainable solutions than large general-purpose AI models from tech giants. 4. The piece calls for: - More scrutiny of big tech's monopolized AI technology - Focus on sustainable AI development - Recognition of AI's ecological footprint - Addressing power concentration behind large AI models 5. The article concludes by criticizing the belief that tech companies will solve climate issues through AI out of altruism, noting this isn't supported morally, empirically, or ecologically. The article ties into a broader discussion about AI regulation, mentioning both an AI Action Summit in Paris and upcoming AI regulations from the Swiss Federal Council.

#AIEnvironmentalImpact #GreenAI #TechSustainability #AIRegulation #ClimateChange #BigTech #AIEthics #SustainableComputing #DataCenters #TechPolicy #AIGovernance #AlgorithmWatch #SwissAI #DigitalSustainability #TechMonopoly #AIFootprint #CleanTech #AIPolicy #ResponsibleAI #PublicInterestTech

AI has an environmental problem. Here’s what the world can do about that. The sprawling data centres that house AI servers churn out toxic electronic waste and are voracious consumers of electricity, which in most places is still produced from fossil fuels.

I've just managed to switch off /block the AI overview that annoyingly pops up now every time I do a google search. #AIEnvironmentalImpact

This massive shift to incorporating AI into everyday tasks will result in a significant impact upon the environment that I believe many are simply unaware of: