Low Information Voter on Nostr: Interested in helping with that, but its very important to have transparency on the ...
Interested in helping with that, but its very important to have transparency on the datasets used to train such an LLM.
(Thinking aloud here).
Otherwise we create a new, centralised and opaque point of failure / target for control.
Actually even with transparency we have that problem.
Perhaps if we used only posters' #hashtags as categories / labels then everyone can contribute naturally and unobtrusively?
Sentiment analysis is deceptively fraught too - imagine the incentives to label every "Political Party X"-aligned post as "angry", "hysterical" and "Political Part Y" as "funny", "upbeat".
These decisions are a Big F---ing Deal in fiatland social media for valid reasons...
(Thinking aloud here).
Otherwise we create a new, centralised and opaque point of failure / target for control.
Actually even with transparency we have that problem.
Perhaps if we used only posters' #hashtags as categories / labels then everyone can contribute naturally and unobtrusively?
Sentiment analysis is deceptively fraught too - imagine the incentives to label every "Political Party X"-aligned post as "angry", "hysterical" and "Political Part Y" as "funny", "upbeat".
These decisions are a Big F---ing Deal in fiatland social media for valid reasons...