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Microsoft Issues Code Green Alert

Green Software Foundation is working on a software carbon intensity score and a Carbon Aware SDK that developers can start using upfront
While generative AI is all the hype, there is a side to it that the users of the technology do not realise. These LLM-based models like ChatGPT are extremely thirsty. Each 20 questions you ask these chatbots requires almost half a litre of water to give you answers. And that mostly goes into cooling the data centres where the data is stored.  More than that, these models rely on data centres that are extremely carbon heavy on the environment. According to the estimates from the World Economic Forum, generative AI has the potential to reduce carbon emissions by 4% by 2030. But on the other hand, it was also predicted in 2017 that these data centres and information technology sector as a whole, will contribute to a huge 14% of the carbon emissions globally by 2040. In an exclusive
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Mohit Pandey
Mohit writes about AI in simple, explainable, and often funny words. He's especially passionate about chatting with those building AI for Bharat, with the occasional detour into AGI.
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