[–] 4 hours ago in whatever
language is free.
language is free.
Don't pretend for a second you're not meaning to have the world hold meaning.
Disingenuous bullshit to suggest you're just using a word and it's everyone elses problem if the "miss" interpret.
Own your own bullshit.
[–] 3 hours ago in whatever
the meaning i put on nigger is not racist. the racism is in you
[–] 2 hours ago in whatever
whatever you say
What a load of shit mate. Complete load of shit.
English is a shared language, you don't speak it in isolation and no one other than yourself has access to the inside of your head to extract such a meaning.
You know precisely why you use the word edgelord.
I use it to troll you
that's a federal crime now?
i use it because blacks used to call me nigger too back before pc took over
i use it because it's my word and i get to use it as i please and if you don't like it tough titty for you
[–] 1 hour ago in whatever
Dave Chappelle quoted Paul Mooney "everybody wants to be a nigger, nobody wants to be a nigger"
demonstrating that nigger has different meanings, like most words
for you to restrict the definition to your preferreed one is not how language works
you are like the Academie Francaise trying to prevent use of Walkman or cellphone by demanding proper french words be used in theirvplace
it ain't how natural language works
it's command and control
you don't control my definitions
go fuck in christ's nail holes
With these lane maintaining automated vehicals, will they go haywire if anyone ever looses a role of toilet paper out a window? (self.ask)
+0 -0 submitted 9 months ago to t/ask
How many roles of toilet paper do you think are lost on the highways a year?
Better support for participating without it may come in the future.
[–]+0 -0 points 9 months ago
Interesting question. Deep Learning has a "black box" problem where you really have to dig if you want to answer Why one decision or another was made for any one set of inputs.
If you trace back all the layers upon layers of Convolution filters involved in Reinforcement Learning of a Reward Function defined as "Stay in your lane = rewarding", there will be other things involved then simply "White line in middle". There will also likely be "Non-asphalt bits to left and right" and other similar filters. These might be filtering for all kinds of properties, even textures, things like "hairy" or "lumpy".
Okay here's something.
Saliency map for self-driving car. Seems to show it mostly pays "attention" to the outside of corners where it might run off the road.
It does spend a long time looking at lines too.
[–]RustyFoster+0 -0 points 9 months ago
AIs are the new Niggers, so yes. Throw a chicken wing at them and watch them freak out.
[–]Westlyroots+0 -0 points 9 months ago
I doubt that many as I have never seen one, I do have concerns too, whether they are accidental or not.
open-source code | notabug 0.65.6 | known peers
By using this peer, you agree to its