The Hindu | Redrawing the not-so-pretty energy footprint of AI

Generative Artificial Intelligence (AI) has undoubtedly eased access to art and reduced the time and the effort required to complete certain tasks. For example, ChatGPT-4o can generate a Studio Ghibli-inspired portrait in seconds with just a prompt. But this ease comes at a significant energy cost that is often overlooked — one that has even led to Graphic Processing Units (GPUs) melting. As AI tools advance, this environmental impact will continue to become more detrimental, making this an unsustainable technology. How can AI be developed sustainably? And can leveraging nuclear energy, specifically Small Modular Reactors (SMR), be a possible alternative?

By Anwesha Sen & Sourav Mannaraprayil

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Firstpost | As AI arms race heats up, India’s role will be crucial

While India may not be competing directly in Graphics Processing Unit manufacturing, its software-centric approach to AI development could redefine the parameters of technological leadership in the artificial intelligence era.

As countries seek to diversify their tech partnerships beyond the US-China axis, India's growing AI capabilities and neutral stance could make it an attractive collaborator.

By Arindam Goswami

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The Diplomat | China’s Energy Intensity and Carbon Intensity Targets Are All But Unachievable

On May 29, China’s State Council released its 2024-2025 action plan for energy conservation and carbon reduction, setting targets to decrease energy intensity (energy consumption per unit of GDP) by 2.5 percent and carbon intensity (carbon emissions per unit of GDP) by 3.9 percent in 2024. However, these goals appear insufficient to meet China’s previous commitments of reducing carbon intensity by 18 percent and energy intensity by 13.5 percent between 2020 and 2025 as part of its international climate pledges.  Read the full article here.