// RESEARCH
PAPER
OF THE WEEK
Each week our team discusses a research paper in depth. These summaries are generated by AI from the recorded discussion.
Anthony Hu", "Václav Volhejn", "Adrien Ramanana Rahary", "Chris Mulder", "Aditya Makkar", "Alyx Liao", "Amélie Royer", "Manu Orsini", "Adam Jelley", "Eloi Alonso", "Florian Laurent", "Fredrik Norén", "James Swingos", "Jan Hünermann", "Kent Rollins", "Lucas Hosseini", "Matthieu Le Cauchois", "Maxim Peter", "Pim de Witte", "Tim Brown", "Vincent Micheli", "Moritz Böhle", "Gabriel de Marmiesse", "Viktoriia Sharmanska", "Lucia Specia", "Michael Black", "Patrick Pérez — MIRA: Multiplayer Interactive World Models with Representation Autoencoders
MIRA — Making Multiplayer World Models Stable by Removing Hidden Information
We discuss MIRA, the real-time multiplayer Rocket League world model from General Intuition, Kyutai and Epic Games: why conditioning on all four players' views keeps the simulation coherent, how flow matching with per-frame noise makes hour-long rollouts possible, and what still separates this from a simulator you could train robots in.
2026-08-04
Amir Zandieh, Majid Daliri, Majid Hadian, Vahab Mirrokni — TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate
TurboQuant — Making Quantization Less Lossy by Randomly Rotating the Problem
2026-04-27
Zhihong Shao, Peiyi Wang, Qihao Zhu, Runxin Xu, Junxiao Song, Xiao Bi, Haowei Zhang, Mingchuan Zhang, Y.K. Li, Y. Wu, Daya Guo — DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Unpacking GRPO and the Evolution of RL in LLMs
2026-03-30