cipher129

4 ms·

1. 1.▲
   by cipher129 4y ago

   Interesting! That’s something we will definitely adjust for in upcoming models, though practically speaking, the confidence is low enough that in mod systems they would be treated the same
2. 2.▲
   by cipher129 4y ago

   We define hate here: https://moderatehatespeech.com/framework/ As: “any unreasonably rude or hateful content, constituting as, "threats, extreme obscenity, insults, and identity-based hate"”
3. 3.▲
   by cipher129 4y ago

   Yeah -- the latter is obviously much easier to identify because it's much more explicit/clear cut. The first are of course, transphobic given the clear intent, but it there is definitely some ambiguity w/o context. Ie, if som
4. 4.▲
   by cipher129 4y ago

   > What is the max qps and latency this supports? We generally aim for <400ms in the continental US. The backend is hosted in us-central-1 on GCP. Obviously, we're always trying to expand, though we do rely on grant funding as a n
5. 5.▲
   Show HN: A free, AI-powered service for automating hate speech moderation

   12 points by cipher129 4y ago|19 comments
6. 6.▲
   by cipher129 4y ago

   User retention is much better on apps -- if someone hasn't engaged with your app in a while, the app can send a notification/has more avenues for re-engaging the user compared to a website.
7. 7.▲
   by cipher129 4y ago

   I think it's highly dependent on the culture of the workplace/environment and if its more on the laid-back side of things. In general though, I'd say too many emojis is never a good thing.