Large language models don’t behave like people, even though we may expect them to
A new study shows someone’s beliefs about an LLM play a significant role in the model’s performance and are important for how it is deployed.
Search Stories
Startup aims to flush away the problem of icky toilet seats
Cleana, founded by a team including Richard Li SM ’24, has developed a self-lifting toilet seat to improve bathroom sanitation.
Machine learning unlocks secrets to advanced alloys
An MIT team uses computer models to measure atomic patterns in metals, essential for designing custom materials for use in aerospace, biomedicine, electronics, and more.
Math program promotes global community for at-risk Ukrainian high schoolers
“Our hope is that our students grow and mature as scholars and help rebuild the intellectual potential of Ukraine after the devastating war.”
Creating and verifying stable AI-controlled systems in a rigorous and flexible way
Neural network controllers provide complex robots with stability guarantees, paving the way for the safer deployment of autonomous vehicles and industrial machines.
Collaborative effort supports an MIT resilient to the impacts of extreme heat
Increasing severity and duration of heat drives data collection and resiliency planning for the forthcoming Climate Resiliency and Adaptation Roadmap.
How to assess a general-purpose AI model’s reliability before it’s deployed
A new technique enables users to compare several large models and choose the one that works best for their task.
Q&A: What past environmental success can teach us about solving the climate crisis
In a new book, Professor Susan Solomon uses previous environmental successes as a source of hope and guidance for mitigating climate change.
Machine learning and the microscope
PhD student Xinyi Zhang is developing computational tools for analyzing cells in the age of multimodal data.
Reasoning skills of large language models are often overestimated
New CSAIL research highlights how LLMs excel in familiar scenarios but struggle in novel ones, questioning their true reasoning abilities versus reliance on memorization.
MIT ARCLab announces winners of inaugural Prize for AI Innovation in Space
The challenge asked teams to develop AI algorithms to track and predict satellites’ patterns of life in orbit using passively collected data
Empowering future innovators through a social impact lens
The IDEAS Social Innovation Challenge helps students hone their entrepreneurship skills to create viable ventures for public good.
“They can see themselves shaping the world they live in”
Developed by MIT RAISE, the Day of AI curriculum empowers K-12 students to collaborate on local and global challenges using AI.
What is language for?
Drawing on evidence from neurobiology, cognitive science, and corpus linguistics, MIT researchers make the case that language is a tool for communication, not for thought.
