My degree is in applied math so I’ve had to lazy load a CS degree over the years. I’ve been a backend engineer my whole career though. At times doing machine learning but these days it’s mostly “medium data” (2-3 PB) pipelines and storage solutions. No kernel work although I’d like to get my hands dirty with eBPF and the like. I’ll definitely be reaching out as I’m playing with Pallas! My dream is to have something like this as the foundation for a decentralized AI model where, for example, anyone could download a binary and contribute to training and/or running a very large LLM running on Nostr. Perhaps a combination of OpenDiLoCo [1] and Pallas could work. The idea being that millions of people collaborating to train and run frontier models is likely a better world than one where only a couple companies can afford the compute. 1.

GitHub

GitHub - PrimeIntellect-ai/OpenDiloco: OpenDiLoCo: An Open-Source Framework for Globally Distributed Low-Communication Training

OpenDiLoCo: An Open-Source Framework for Globally Distributed Low-Communication Training - PrimeIntellect-ai/OpenDiloco