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For more than a decade, MIT Associate Professor Rafael Gómez-Bombarelli has used artificial intelligence to create new materials. As the technology has expanded, so have his ambitions. Now, the newly tenured professor in materials science and engineering believes AI is poised to transform science in ways never before possible. His work at MIT and beyond is devoted to accelerating that future. “We’re at a second inflection point,” Gómez-Bombarelli says. “The first one was around 2015 with the first wave […]

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Many of the latest large language models (LLMs) are designed to remember details from past conversations or store user profiles, enabling these models to personalize responses. But researchers from MIT and Penn State University found that, over long conversations, such personalization features often increase the likelihood an LLM will become overly agreeable or begin mirroring the individual’s point of view. This phenomenon, known as sycophancy, can prevent a model from telling a user they are wrong, eroding the […]

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It happens every day — a motorist heading across town checks a navigation app to see how long the trip will take, but they find no parking spots available when they reach their destination. By the time they finally park and walk to their destination, they’re significantly later than they expected to be. Most popular navigation systems send drivers to a location without considering the extra time that could be needed to find parking. This causes more than […]

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By now, ChatGPT, Claude, and other large language models have accumulated so much human knowledge that they’re far from simple answer-generators; they can also express abstract concepts, such as certain tones, personalities, biases, and moods. However, it’s not obvious exactly how these models represent abstract concepts to begin with from the knowledge they contain. Now a team from MIT and the University of California San Diego has developed a way to test whether a large language model (LLM) […]

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Large language models (LLMs) have been championed as tools that could democratize access to information worldwide, offering knowledge in a user-friendly interface regardless of a person’s background or location. However, new research from MIT’s Center for Constructive Communication (CCC) suggests these artificial intelligence systems may actually perform worse for the very users who could most benefit from them. A study conducted by researchers at CCC, which is based at the MIT Media Lab, found that state-of-the-art AI chatbots […]

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Studying gene expression in a cancer patient’s cells can help clinical biologists understand the cancer’s origin and predict the success of different treatments. But cells are complex and contain many layers, so how the biologist conducts measurements affects which data they can obtain. For instance, measuring proteins in a cell could yield different information about the effects of cancer than measuring gene expression or cell morphology. Where in the cell the information comes from matters. But to capture complete information […]

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Reasoning large language models (LLMs) are designed to solve complex problems by breaking them down into a series of smaller steps. These powerful models are particularly good at challenging tasks like advanced programming and multistep planning. But developing reasoning models demands an enormous amount of computation and energy due to inefficiencies in the training process. While a few of the high-power processors continuously work through complicated queries, others in the group sit idle. Researchers from MIT and elsewhere […]

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Great LLMs need great data. Discover the pipelines, tools, and RAG architecture shaping the future of AI-ready data engineering

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Build faster Python applications by mastering async programming and learning how to handle I/O bound workloads efficiently with real world examples.

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