Vijay Gadepally, a senior employee at MIT Lincoln Laboratory, leads a variety of projects at the Lincoln Laboratory Supercomputing Center (LLSC) to make computing platforms, and the synthetic intelligence systems that operate on them, more effective. Here, Gadepally goes over the increasing usage of generative AI in daily tools, its concealed ecological impact, and some of the ways that Lincoln Laboratory and the higher AI community can reduce emissions for a greener future.

Q: What patterns are you seeing in regards to how generative AI is being utilized in computing?

A: Generative AI utilizes machine knowing (ML) to produce new material, like images and text, based on information that is inputted into the ML system. At the LLSC we create and develop a few of the largest scholastic computing platforms worldwide, and over the previous few years we've seen an explosion in the variety of tasks that require access to high-performance computing for generative AI. We're also seeing how generative AI is changing all sorts of fields and domains - for instance, ChatGPT is already affecting the class and [smfsimple.com](https://www.smfsimple.com/ultimateportaldemo/index.php?action=profile