From students crafting essays and engineers writing code to call center operators responding to customers, generative artificial intelligence tools have prompted a wave of experimentation over the past year. At MIT, these experiments have raised questions — some new, some ages old — about how these tools can change the way we live and work. …
Last summer, MIT President Sally Kornbluth and Provost Cynthia Barnhart issued a call for papers to “articulate effective roadmaps, policy recommendations, and calls for action across the broad domain of generative AI.” The response to the call far exceeded expectations with 75 proposals submitted. Of those, 27 proposals were selected for seed funding. In light…
Generative AI is getting plenty of attention for its ability to create text and images. But those media represent only a fraction of the data that proliferate in our society today. Data are generated every time a patient goes through a medical system, a storm impacts a flight, or a person interacts with a software…
MIT’s Laboratory for Information and Decision Systems (LIDS) has been awarded $1,365,000 in funding from the Appalachian Regional Commission (ARC) to support its involvement with an innovative project, “Forming the Smart Grid Deployment Consortium (SGDC) and Expanding the HILLTOP+ Platform.” The grant was made available through ARC’s Appalachian Regional Initiative for Stronger Economies, which fosters…
Few technologies have shown as much potential to shape our future as artificial intelligence. Specialists in fields ranging from medicine to microfinance to the military are evaluating AI tools, exploring how these might transform their work and worlds. For creative professionals, AI poses a unique set of challenges and opportunities — particularly generative AI, the…
If you follow the generative AI space, you probably have come across projects such as AutoGPT, BabyAGI, or the just-announced OpenAI GPTs, which are based on semi-autonomous agent capabilities. The simplest version of semi-autonomous agents is intelligent models that can reason through abstract tasks, formulate, and execute plans in a given environment. Source link
Ask ChatGPT “Why is the sky blue?” and seconds later, it will tell you: “The blue color of the sky is primarily due to a phenomenon called Rayleigh scattering,” which the chatbot goes on to explain in a textbook-like, six-paragraph response. Follow up with, “Explain like I am 5 and make it short, please,” and…
In late November, faculty, staff, and students from across MIT participated in MIT Generative AI Week. The programming included a flagship full-day symposium as well as four subject-specific symposia, all aimed at fostering a dialogue about the opportunities and potential applications of generative artificial intelligence technologies across a diverse range of disciplines. “These events are…
The biggest fight of the generative AI revolution is headed to the courtroom—and no, it’s not about the latest boardroom drama at OpenAI. Book authors, artists, and coders are challenging the practice of teaching AI models to replicate their skills using their own work as a training manual. The debate centers on the billions of…
The history of artificial intelligence has been punctuated by periods of so-called “AI winter,” when the technology seemed to meet a dead end and funding dried up. Each one has been accompanied by proclamations that making machines truly intelligent is just too darned hard for humans to figure out. Google’s release of Gemini, claimed to…
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