"The net effect [of DeepSeek] should be to significantly increase the pace of AI development, since the secrets are being let out and the models are now cheaper and easier to train by more people." ~ Associate Professor Phillip Isola
CSAIL principal investigator Charles Leiserson - a professor in MIT’s department of Electrical Engineering and Computer Science (EECS) - recently co-authored a paper published by the Computing Research Association as part of the first edition of their “Quadrennial Papers,” published every four years.
As the capabilities of generative AI models have grown, you've probably seen how they can transform simple text prompts into hyperrealistic images and even extended video clips.
In a two-part series, MIT News explores the environmental implications of generative AI. In this article, we look at why this technology is so resource-intensive. A second piece will investigate what experts are doing to reduce genAI’s carbon footprint and other impacts.
