Vijay Gadepally, a senior team member at MIT Lincoln Laboratory, leads a variety of tasks at the Lincoln Laboratory Supercomputing Center (LLSC) to make computing platforms, and the synthetic intelligence systems that run on them, more efficient. Here, Gadepally talks about the increasing use of generative AI in everyday tools, its hidden ecological impact, and a few of the methods that Lincoln Laboratory and the higher AI community can minimize emissions for a future.

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

A: Generative AI uses machine learning (ML) to develop brand-new material, like images and text, botdb.win based upon data that is inputted into the ML system. At the LLSC we develop and build some of the largest academic computing platforms worldwide, and over the past couple of years we have actually seen a surge in the number of jobs that need access to high-performance computing for generative AI. We're also seeing how generative AI is altering all sorts of fields and domains - for instance, ChatGPT is currently affecting the class and [forum.batman.gainedge.org](https://forum.batman.gainedge.org/index.php?action=profile