I just scraped data from reddit and other sources so i could build a nsfw classifier and chose to open source the data and the model for general good.
Note that i was a 1 year experienced engineer working solely on this project in my free time, so it was basically impossible for me to review or clear out the few csam images in the 100,000+ images in the dataset.
Although, now i wonder if i should never have open sourced the data. Would have avoided lot of these issues.
Ooh, love the UX, the heat meter and contrarian detection are very nice ideas.
I recently released https://trackernews.app/browse which surfaces out and groups content from hn, reddit .. for user defined topics and extracts user defined structured data along with summaries.
a tangential take on similar problem with focus on grouping posts by topics.
would love to get any feedback on the UX/ understandability of the interface
This holds true in most other countries as well. Gore/ chopping of appendages is happily accepted and enjoyed (in movies, games etc) by all of India, whilst a simple kiss can be a taboo/ issue.
especially, because once x0K words crossed, the output becomes worser.
https://github.com/quilrai/LLMWatcher
made this mac app for the same purpose. any thoughts would be appreciated