🤯 GPT-4o knows H&M left Russia in 2022 but still recommends shopping at H&M in Moscow. 🤔 LLMs store conflicting facts from different times, leading to inconsistent responses. We dig into how to better update LLMs with fresh facts that contradict their prior knowledge. 🧵 1/6

📢Thrilled to share our new paper: Esoteric Language Models (Eso-LMs) > 🔀Fuses autoregressive (AR) and masked diffusion (MDM) paradigms > 🚀First to unlock KV caching for MDMs (65x speedup!) > 🥇Sets new SOTA on generation speed-vs-quality Pareto frontier How? Dive in👇

Teleoperation is slow, expensive, and difficult to scale. So how can we train our robots instead? Introducing X-Sim: a real-to-sim-to-real framework that trains image-based policies 1) learned entirely in simulation 2) using rewards from human videos. portal-cornell.github.io/X-Sim