👋 Welcome to R:Log

Physical Intelligence is a fast-rising company focused on bringing general-purpose AI into the physical world. In under two years since introducing their first VLA prototype model π₀ , thet’ve made a huge impact in the embodied intelligence community. In this post, I’ll walk through the three main VLA models they’ve released so far, based on my reading of their blogs and papers. π₀ π₀ is a vision-language-action (VLA) model built on top of a pre-trained vision–language model (VLM) backbone. It is then robot-pretrained on a large mixture of open-source and in-house manipulation datasets to learn broad, general skills, and can be further post-trained on smaller, task-specific data to specialize for downstream applications. ...

In this post, I’ll walk through GPUs and CUDA. Hope it helps with my final exam and AI learning… The full name of GPU is Graphics Processing Unit. Looking back at its history. GPU first appeared as fixed-function hardware to speed up parallel work in real-time 3D graphics. Over time, GPUs became more programmable. By 2003, parts of the graphics pipeline were fully programmable, running custom code in parallel for many elements of a 3D scene or an image. ...