Vijay Gadepally, a senior staff member at MIT Lincoln Laboratory, leads a number of jobs at the Lincoln Laboratory Supercomputing Center (LLSC) to make computing platforms, and the expert system systems that work on them, more effective. Here, Gadepally talks about the increasing use of generative AI in everyday tools, its concealed ecological effect, and a few of the manner ins which Lincoln Laboratory and the greater AI community can lower emissions for a greener future.

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

A: Generative AI uses artificial intelligence (ML) to develop new content, like images and text, based on information that is inputted into the ML system. At the LLSC we create and construct some of the largest scholastic computing platforms worldwide, and koha-community.cz over the past couple of years we've seen an explosion in the number of tasks that require 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 classroom and [forum.batman.gainedge.org](https://forum.batman.gainedge.org/index.php?action=profile