| Thanks! One thing I've found while working in the ML space is that it seems like ML researchers have to deal with a lot of systems cruft. I think that in the limit, ML researchers basically only care having about a few things set up well: - secrets and environment management - making sure their dependencies are installed - efficient access to their data - quick access to their code - using expensive compute efficiently But to get all this set up for their research they need to wade through a ton of documentation about git, bash, docker containers, mountpoints, availability zones, cluster management and other low-level systems topics. I think there's space for something like Replit or Vercel for ML researchers, and Moonglow is a (very early!) attempt at creating something like it. |