Comment on [deleted]
Auster@thebrainbin.org 3 days ago
I'm not its target audience (not much of movies fan), but considering I made sheets for similar uses for music and games, it makes me think:
- couldn't it be fully offline? More reassurance of no data collection and it should keep being useful virtually forever, specially if physical media and DRM-free movies and series get traction.
- instead of an LLM, why not a local database with a tag or like/dislike system, with the system having a bit of randomness for suggestions to have an algorithm?
- in line with the first point, if an LLM is a must, why not have a local one trained specifically on movies and series?
Qaf@lemmy.world 3 days ago
Thanks, those are very thoughtful points.
Offline/local approaches make sense, especially for privacy-conscious users or those using DRM-free/physical media.
A local database with tags and randomness could definitely handle many cases, and it’s something I’m exploring for future versions.
Using an LLM is mainly for flexibility and to handle the variety of moods and contexts without requiring the user to manually tag everything.
A specialized, local model trained only on movies/series is an interesting idea, and something I would consider as a lightweight alternative in future iterations.
Really appreciate this kind of detailed, constructive feedback.