Explained: Generative AI’s environmental impact | MIT News
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In a two-part series, MIT News explores the environmental implications of generative AI. In this article, we look at why this technology is…
Q&A: The climate impact of generative AI | MIT News
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Vijay Gadepally, a senior staff member at MIT Lincoln Laboratory, leads a number of projects at the Lincoln Laboratory Supercomputing Center (LLSC)…
Study: Some language reward models exhibit political bias | MIT News
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Large language models (LLMs) that drive generative artificial intelligence apps, such as ChatGPT, have been proliferating at lightning speed and have improved…
A new way to create realistic 3D shapes using generative AI | MIT News
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Creating realistic 3D models for applications like virtual reality, filmmaking, and engineering design can be a cumbersome process requiring lots of manual…
New AI tool generates realistic satellite images of future flooding | MIT News
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Visualizing the potential impacts of a hurricane on people’s homes before it hits can help residents prepare and decide whether to evacuate….
Can robots learn from machine dreams? | MIT News
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For roboticists, one challenge towers above all others: generalization — the ability to create machines that can adapt to any environment or…
Despite its impressive output, generative AI doesn’t have a coherent understanding of the world | MIT News
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Large language models can do impressive things, like write poetry or generate viable computer programs, even though these models are trained to…
Making it easier to verify an AI model’s responses | MIT News
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Despite their impressive capabilities, large language models are far from perfect. These artificial intelligence models sometimes “hallucinate” by generating incorrect or unsupported…
AI simulation gives people a glimpse of their potential future self | MIT News
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Have you ever wanted to travel through time to see what your future self might be like? Now, thanks to the power…
3 Questions: Should we label AI systems like we do prescription drugs? | MIT News
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AI systems are increasingly being deployed in safety-critical health care situations. Yet these models sometimes hallucinate incorrect information, make biased predictions, or…