Vijay Gadepally, a senior staff member at MIT Lincoln Laboratory, leads a number of projects at the Lincoln Laboratory Supercomputing Center (LLSC) to make computing platforms, and the synthetic intelligence systems that work on them, more effective. Here, Gadepally discusses the increasing usage of generative AI in everyday tools, hb9lc.org its covert environmental impact, and a few of the methods that Lincoln Laboratory and the higher AI community can reduce emissions for a greener future.

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

A: Generative AI uses artificial intelligence (ML) to produce brand-new material, like images and text, based upon information that is inputted into the ML system. At the LLSC we develop and build a few of the biggest academic computing platforms in the world, and over the previous couple of years we've seen an explosion in the number of projects 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 influencing the classroom and the office faster than regulations can seem to keep up.

We can think of all sorts of usages for generative AI within the next decade or two, like powering highly capable virtual assistants, developing brand-new drugs and materials, and even enhancing our understanding of standard science. We can't predict everything that generative AI will be used for, however I can definitely state that with increasingly more complex algorithms, [rocksoff.org](https://rocksoff.org/foroes/index.php?action=profile