{"id":2982,"date":"2025-01-07T13:58:04","date_gmt":"2025-01-07T21:58:04","guid":{"rendered":"https:\/\/www.artsjournal.com\/diacritical\/?p=2982"},"modified":"2025-01-07T14:01:26","modified_gmt":"2025-01-07T22:01:26","slug":"how-digital-ai-twins-could-transform-how-we-make-art","status":"publish","type":"post","link":"https:\/\/www.artsjournal.com\/diacritical\/2025\/01\/how-digital-ai-twins-could-transform-how-we-make-art.html","title":{"rendered":"How Digital AI Twins could Transform how We Make Art"},"content":{"rendered":"\n
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For all of the explosion of data in the past couple of decades, it’s remarkable how disconnected and crudely measured much of the world around us still is. Weather forecasts, for example, have improved enormously in recent years, yet still aren’t reliably accurate. The problem has been three-fold — not enough ability to measure, incomplete data, and not enough computing power to make sense of the data we do have. <\/p>\n\n\n\n

The giant chip maker Nvidia has been working on what is being called Digital Twins. The explosion of AI has been possible in part because of massive increases in the amount of data now available coupled with an exponential scaling up of computing power. Since large language models see across unstructured data (meaning data doesn’t have to live in like-formatted databases), it can draw information from almost anywhere and knit it together to interact in ways that weren’t possible before. <\/p>\n\n\n\n

The Digital Twin idea is the notion of looking at something — an organization, an eco-system, a city — and measuring and defining it in as many meaningful ways as possible and creating a digital representation in which elements can be changed or manipulated to see how the rest of the model reacts. If you’re able to make an accurate enough digital twin, the idea is that you can use it to both observe the current state of the original and simulate potential changes and see how the Twin adapts. <\/p>\n\n\n\n

Nvidia is testing all sorts of applications for this. One of the biggest is a digital replica of Earth’s weather in which data from monitors worldwide are used to crunch and build simulations that are informed by observed historical data that shows us how weather behaves. Suddenly, the accuracy and speed of weather forecasting is improved by a factor of ten. Nvidia believes in the near future it will be able to forecast hyperlocal weather down to the city block level, even accounting for the effect of nearby buildings. <\/p>\n\n\n\n

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