HN user
I've worked a little bit with distributed Elixir using `Horde.DynamicSupervisor` on Kubernetes. Apparently there's other options like 'swarm' and DynamicSupervisor [1]. It'd be great for clear analysis of the benefits these kinds of abstractions bring vs non-BEAM approaches.
I wasn't sure how to do this, so I looked into it:
If you (setq org-pretty-entities t) below will render correctly in org buffers, and exports correctly too.
The logs come to about \tilde{}300 lines once you start the server with ~systemctl start fnord~
Here's a star: \ast
Some people say we're near the end of pre-training scaling, and RLHF etc is going to be more important in the future. I'm interested in trying out systems like https://github.com/OpenPipe/ART to be able to train agents to work on a particular codebase and learn from my development logs and previous interactions with agents.
Can’t Pulumi be used to bring up infra and workloads as well?
I do!
For more context, hn post by maker here: https://news.ycombinator.com/item?id=34635338