Today at MIT: Mini livers, agreeable chatbots, AI's energy use + more ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏ ͏
| MIT DailyMarch 4, 2026 | 
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| Greetings! Here's the latest from the MIT community.
Replies to this email will not be received. If you have feedback to share, email mitdailyeditor@mit.edu. |
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| | | Over 10,000 Americans are waiting for a liver transplant. Now, MIT engineers have developed injectable "mini livers" that could take over the functions of a failing liver. The technology could offer an alternative to transplantation or provide support until a donor organ is available. |
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| | Personalization features can make LLMs more agreeable |
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| The context of long-term conversations can cause an LLM to begin mirroring the user's viewpoints, possibly reducing accuracy or creating a virtual echo-chamber. |
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| | Japan incorporates more disaster planning into its buildings and public spaces than any other nation. Miho Mazereeuw's new book explains how they do it. |
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| Applying business skills toward the arts |
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| Andre Toro MBA '11 has drawn upon expertise learned at MIT Sloan to power her boutique portrait photography firm. |
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| | | | A recent 3D printing breakthrough brings us one step closer to you downloading a car // Gizmodo |
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| MIT researchers developed a 3D printing platform that can "produce a fully functioning linear motor in about three hours." The research team "explained how by retrofitting a printer with enough extruders to handle the various materials needed to make a working motor, they decimated the usual production time for such a device and brought the material costs down to around $0.50." |
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| | | | It's well documented that artificial intelligence is a power-hungry technology. But there has been far less reporting on the extent of that hunger, how much its appetite is set to grow in the coming years, where that power will come from, and who will pay for it. For six months, reporters and editors at MIT Technology Review worked to answer those questions. The result, a package of content called Power Hungry: AI and our Energy Future, looks at the state of AI's energy and resource usage, where it is now, where it is headed in the years to come, and why we have to get it right. One article from the project, on the math behind AI's energy footprint, was recently nominated for a prestigious National Magazine Award, in the Reporting category. |
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