China becomes solar energy superpower, dominates 80% of supply chain

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we highlight the necessity of holistically addressing water footprint along with carbon footprint to enable truly sustainable AI.The estimates of AI water consumption were presented by researchers from the Universities of Colorado Riverside and Texas Arlington in a pre-print article titled “Making AI Less ‘Thirsty.

Researchers worry that all this consumption could hurt water supplies given the chatbot’s enormous popularity.which has partnered with OpenAI for multiple years and billions of dollars and built supercomputers for AI training.Water footprint must be addressed as a priority as part of the collective efforts to combat global water challenges.

the water used to cool these data centers doesn’t just disappear into the ether but is usually removed from water courses like rivers.The enormous volume of water required to train the AI model also presupposes that the training occurs at Microsoft’s cutting-edge US data center.

The researchers distinguish between water “withdrawal” and “consumption” when estimating AI’s water usage.

The scientists also hold the data centers responsible for “off-site indirect water consumptionthe growing number of elderly will need more care and support than ever.

Not enough human workersThese advances may come just in time.take the second door on the left.

Its a labor-shifting device.They toyed with the idea of making GPT-4 the brain of one of their robots but found it to be of acutely limited value.