Learn more about Mirai: https://jclinic.mit.edu/mirai/ Regina Barzilay: https://jclinic.mit.edu/team-member/regina-barzilay/ Tanir Allweis: https://kalaniyot.mit.edu/fellows/tanir-allweis/ Videography: VideoCrew Producer: Alex Shipps Director: Rachel Gordon
Learn more about Mirai: https://jclinic.mit.edu/mirai/
Regina Barzilay: https://jclinic.mit.edu/team-member/regina-barzilay/
Tanir Allweis: https://kalaniyot.mit.edu/fellows/tanir-allweis/
Videography: VideoCrew
Producer: Alex Shipps
Director: Rachel Gordon
Alex Zhang, Graduate Student | MIT EECS CSAIL https://alexzhang13.github.io/blog/2025/rlm/ DIrector: Rachel Gordon Preditor: Tim Malieckal Script Supervisor: Alex Shipps Chapters: 00:00 - Introduction 00:27 - LMs are more capable than we’ve realized 01:27 - What is a...
Alex Zhang, Graduate Student | MIT EECS CSAIL
https://alexzhang13.github.io/blog/2025/rlm/
DIrector: Rachel Gordon
Preditor: Tim Malieckal
Script Supervisor: Alex Shipps
Chapters:
00:00 - Introduction
00:27 - LMs are more capable than we’ve realized
01:27 - What is a Recursive Language Model?
02:41 - What does your approach do that people are missing?
04:00 - What does treating a prompt as an environment enable?
05:36 - How does a RLM know what is worth looking at, and what isn’t?
07:30 - What does it take to build a RLM?
08:29 - An example of what a RLM can achieve that was out of reach before?
10:09 - Explain the ‘mismanaged genius’ hypothesis
11:33 - How does a RLM keep errors from compounding over many steps?
12:28 - How do RLMs fit into a multi-agent landscape?
Paper: https://bit.ly/41FsggJ Director: Rachel Gordon Preditor: Tim Malieckal Script Supervisor: Alex Shipps Photo and Video Credits: Chemical Synapses animation: Rex Twedt | rextwedt.com Map of Mouse Brain: Allen Institute/ Forest Coilman & MICrONS Consortium Neurons &...
Paper: https://bit.ly/41FsggJ
Director: Rachel Gordon
Preditor: Tim Malieckal
Script Supervisor: Alex Shipps
Photo and Video Credits:
Chemical Synapses animation: Rex Twedt | rextwedt.com
Map of Mouse Brain: Allen Institute/ Forest Coilman & MICrONS Consortium
Neurons & Synapses animation: USC Mark and Mary Stevens Neuroimaging and Informatics Institute
Participants:
Yaron Meirovich, Harvard University
Nir Shavit, MIT CSAIL
Jeff Lichtman, Harvard University
Brady Weissbourd, MIT
Special Thanks:
Ishaan Chandok, Lichtman Lab, Harvard University
Suzanne Montgomery, Lichtman Lab, Harvard University
Paper: https://arxiv.org/abs/2502.17779 Director: Rachel Gordon Video: Tim Malieckal Script Supervisor: Alex Shipps Editor: Tim Malieckal Special Thanks to Avi Wigderson, Ian Mertz and James Cook for their expertise, and Elias Trout @MITMuseumOfficial for providing the...
Paper: https://arxiv.org/abs/2502.17779
Director: Rachel Gordon
Video: Tim Malieckal
Script Supervisor: Alex Shipps
Editor: Tim Malieckal
Special Thanks to Avi Wigderson, Ian Mertz and James Cook for their expertise, and Elias Trout @MITMuseumOfficial for providing the vintage floppy disks as critical props for our production!
MIT Professor & CSAIL Associate Director & COO Armando Solar-Lezama: https://people.csail.mit.edu/asolar/ Videographer: Adam Mikaelian, assisted by Jake Davidson Director: Rachel Gordon Producer: Alex Shipps
MIT Professor & CSAIL Associate Director & COO Armando Solar-Lezama: https://people.csail.mit.edu/asolar/
Videographer: Adam Mikaelian, assisted by Jake Davidson
Director: Rachel Gordon
Producer: Alex Shipps
MIT Professor & CSAIL Associate Director & COO Armando Solar-Lezama: https://people.csail.mit.edu/asolar/ Videographer: Adam Mikaelian, assisted by Jake Davidson Director: Rachel Gordon Producer: Alex Shipps
MIT Professor & CSAIL Associate Director & COO Armando Solar-Lezama: https://people.csail.mit.edu/asolar/
Videographer: Adam Mikaelian, assisted by Jake Davidson
Director: Rachel Gordon
Producer: Alex Shipps
Lung cancer is the leading cause of cancer-related deaths worldwide. While smoking is the leading cause of lung cancer, lung cancer rates among nonsmokers are on the rise. Every person has the right to know their risk of developing cancer — Sybil is a deep learning model that...
Lung cancer is the leading cause of cancer-related deaths worldwide. While smoking is the leading cause of lung cancer, lung cancer rates among nonsmokers are on the rise.
Every person has the right to know their risk of developing cancer — Sybil is a deep learning model that accurately predicts a patient’s risk of lung cancer up to six years in advance from analyzing a low-dose CT scan, ensuring that lung cancer is detected in its earliest stages.
More on Sybil: https://jclinic.mit.edu/sybil/
MIT News: https://news.mit.edu/2023/ai-model-can-detect-future-lung-cancer-0120
MIT News: https://news.mit.edu/2025/using-generative-ai-help-robots-jump-higher-land-safely-0627 Authors: Byungchul Kim (MIT CSAIL), Tsun-Hsuan Wang (MIT CSAIL), & Daniela Rus (MIT CSAIL) Videographer: Dan McDonald Directors: Rachel Gordon & Alex Shipps
MIT News: https://news.mit.edu/2025/using-generative-ai-help-robots-jump-higher-land-safely-0627
Authors: Byungchul Kim (MIT CSAIL), Tsun-Hsuan Wang (MIT CSAIL), & Daniela Rus (MIT CSAIL)
Videographer: Dan McDonald
Directors: Rachel Gordon & Alex Shipps
A new printmaking technique produces images that can change colors when heated up ♨️ MIT researchers helped develop "Thermochromorph" to take advantage of full-color process printing. It uses thermochromic inks to make images transition into each other. Check out the full...
A new printmaking technique produces images that can change colors when heated up ♨️
MIT researchers helped develop "Thermochromorph" to take advantage of full-color process printing. It uses thermochromic inks to make images transition into each other. Check out the full video on @MITCSAIL!