Suswati Basu (巴苏) 
It's been a while since I wrote something rather tongue-in-cheek…
Reading, writing and learning.
Interests - Philosophy, History, Cinema, Cricket
Liberal/Optimist
| City | New Delhi |
| Signal | @mani.01 |
Manish
- 21 Followers
- 41 Following
- 54 Posts
I started journaling ten days ago for the first in my life. I don't know if it's the beginner's gain but it has been amazingly helpful.
@Gustodon Much more robots than dragons.
@ljwrites there are lots of book clubs here in Delhi. Though most of them don't stay for long, but, new ones come soon.
@ljwrites Sounds like fun clubs!
@ljwrites Where are these Indian women?
Author-ized L.J.@ahuggingsam Exactly! The point is to storm those walls, not install a new wing.
@ljwrites I agree that people many times get misgenered by the pronouns, but ain't eliminating the present binary pronouns would have been better than adding limitless pronouns?
It would've been a better option, I guess, if that was considered few years ago when discussion about pronouns was getting popular. Also, easy and simple for the people in general.
It would've been a better option, I guess, if that was considered few years ago when discussion about pronouns was getting popular. Also, easy and simple for the people in general.
I just hate pronouns. Ain't names not enough to identify someone? Pronouns in English are a headache for me.
Different pronouns mean also remembering the middle and last name of someone. It feels like to me that many just use uncommon pronouns as an extension of their names.
Why not a single gender neutral pronoun? Why not just experiment with names?
Or, am I totally missing something which I haven't understood about pronouns?
Different pronouns mean also remembering the middle and last name of someone. It feels like to me that many just use uncommon pronouns as an extension of their names.
Why not a single gender neutral pronoun? Why not just experiment with names?
Or, am I totally missing something which I haven't understood about pronouns?
Timnit Gebru (she/her).Friends, for something to be open source, we need to see
1. The data it was trained and evaluated on
2. The code
3. The model architecture
4. The model weights.
DeepSeek only gives 3, 4. And I'll see the day that anyone gives us #1 without being forced to do so, because all of them are stealing data.