Why did editing 0.016% of AI weights increase math performance by 6x? The mechanics and configuration secrets of the MIT study

Conclusion: The 0.016% weight edit fixed "premature termination due to thinking loops," and even unedited models can reach an ...
Unite.AI

FLEX Teaches Robots to Generalize From Human Corrections

MIT and New York University researchers have developed FLEX, a system that uses conversational corrections to revise the ...
GitHub

python-projects

A python based desktop voice assistant capable of executing system-level commands, integrating speech recognition and text-to-speech, and handling asynchronous user interactions. A huge collection of ...
GitHub

CARLA Simulator

PROJ, a generic coordinate transformation software which uses the X/MIT open source license. SQLite, part of the PROJ dependencies, which is in the public domain. Xerces-C, a validating XML parser, ...