Yeah, I am actually ok with this. I'm selective about what goes into it, and the training goes into better open-weight models. From what I've seen the DSH desktop telemetry is actually telemetry (like VS Code), not uploading all your files.

Might have been unclear from what I posted originally, but the `session-log-deepseek` is attaching session transcripts to DeepSeek API inference requests, so it's just a full version of what already needs to go in the messages array, with compaction expanded etc.

If you run `dsh web` against a local model then nothing goes to DeepSeek by default (except the web_search tool uses their API, but there has to be a backend somewhere). I think that's commendable. The regression on the desktop app is disappointing.