I've been compiling papers on Physical AI — the intersection of foundation models and robotics. This covers Vision-Language-Action (VLA) models like RT-2 and π₀, world models (DreamerV3, Genie 2), diffusion policies, deployment and latency researches, cross-embodiment transfer, and safety/alignment for robots.
The field has exploded in the past 18 months. We went from "How about we apply llms to robotics" to having so many different research paths and dimensions to optimize.
Contributions welcome — especially corrections and missing papers.
Programmable accounts are necessary for programmable money to be effective.
Automation was the key in the web2 world, but in the world of cryptocurrency, each transaction must be manually signed. Account abstraction helps to bridge this gap and allows users to have programmable accounts and automate on-chain processes.
Here are the list of resources for developers and builders to learn more about account abstraction.
Author here. This repo got popular before I had a chance to write README and organize code. I am going to make the code more consistent, add tests, and write brief tutorials by the following month. Please let me know if you have suggestions.