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5 ways you can reduce AI’s carbon footprint – don’t be polite!

  • The rise of artificial intelligence is expanding rapidly, but it comes with an environmental cost as energy consumption grows with AI usage.
  • Technology expert Jan Čurn suggests methods to reduce AI's carbon footprint, such as optimizing prompt efficiency and minimizing non-essential language.
  • Complex interactions with AI and the use of unnecessary words contribute to increased energy consumption in AI systems.
  • Developing more efficient AI platforms and promoting organizational awareness of AI sustainability practices are crucial in reducing AI's environmental impact.

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