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.
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