Kalhan Boralessa
@kalhanml
PhD student in Robotics and AI @NottmTrentUni #MachineLearning #Robotics #ROS2 #Gazebo #Python ๐จโ๐ป
ID: 857941922966405120
https://kalhansblog.blogspot.com/ 28-04-2017 12:57:49
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You know all those arguments that LLMs think like humans? Turns out it's not true. ๐ง In our paper "From Tokens to Thoughts: How LLMs and Humans Trade Compression for Meaning" we test it by checking if LLMs form concepts the same way humans do Yann LeCun Chen Shani Dan Jurafsky
Thrilled to be speaking at the 1st #ROSConUK in September! I'll be sharing updates from the Aerial Robotics Community Interest Group (with Ramon Roche ๐ !) & giving a lightning talk on the big robot simulator list I'm maintaining. See you in Edinburgh! ๐ roscon.org.uk/2025/#attend
๐จAnnouncing the World Modeling Workshop 2026 ๐จ ๐ When: Feb 4โ6, 2026 ๐Where: Mila (Montrรฉal) + Online (free) ๐ก What: Keynotes, Methods Deep Dive, and Tutorials ๐ world-model-mila.github.io โ๏ธ [email protected] ๐งต Details below:
Fei-Fei Li says language models are extremely limited. This Google DeepMind paper makes almost the same point, just in the world of video. The models are just very advanced pattern matchers. They can recreate what looks like reality because theyโve seen so much data, but they