@ivanfioravanti reports that integrating Hermes Agent with mlx distributed has transformed their model-training workflow: tasks that formerly required manual starts, log checks, config edits, and restarts are now automated and easy to manage. They claim the automation is so effective the process feels "nearly self-driving," a factor they link to faster progress in AI labs.
@ivanfioravanti uses Hermes Agent to start, tune, and monitor training runs with mlx distributed, replacing a previously manual workflow of starting, checking logs, changing configs, and restarting.
I'm using Hermes Agent to start, tune and monitor my train activities with mlx distributed. In the past it was a mess starting, checking logs, changing, restarting. Now it's super easy.
Now I understand why AI labs are accelerating, AI itself is nearly self-driving here.