HN user
You can fine-tune local models using your own data. Unsloth has a guide at https://unsloth.ai/docs/get-started/fine-tuning-llms-guide.
I'm currently experimenting with Tobi's QMD (https://github.com/tobi/qmd) to see how it performances with local models only on my Obsidian Vault.
Not a scientist, but I assume the signal would degrade or mutate over time due to space radiation and other radio waves.
All the talk about "open" standards from AI companies feels like VC-backed public LLM experiments. Even if these standards fade, they help researchers create and validate new tools. I see this especially with local models. The rise of CLI-based LLM coding tools lets me use models like GPT OSS 20B to build apps locally and offline.
Claude Code has subagents as well. I created a workflow with multiple agents to build iOS apps, including agents for orchestration, design, build, and QA.
Claude Code subagents keep their context windows separate from the main agent, sending back only the most relevant context based on the main agent's request.
The UI looks so close to Open WebUI I was shocked this isn't a fork. It even looks like it takes OWUI's unique model customization features, but makes it agents.
Might have to try this out. OWUI's lagging docs has made managing my own self hosted instance a pain.
PS: Your _See All Connectors_ button on the homepage is 404ing.