til wilde’s lover translated salome kinda badly but wilde didn’t want to get in trouble so he got that translation published, and then somebody else re-translated it but didn’t draw attention to that fact so the translations were getting confused for many years [fac.flinders.edu.au/dspace/api/c...](https://fac.flinders.edu.au/dspace/api/core/bitstreams/60898d42-6b42-4388-b786-d0c325f998fd/content ) https://morel.us-east.host.bsky.network/xrpc/com.atproto.sync.getBlob?did=did:plc:fpruhuo22xkm5o7ttr2ktxdo&cid=bafkreibp62i74vwabnhmazphrjrda5fols3zhx5gztbeztornt73zmdhpm
fuck yeah infinite dimensions https://morel.us-east.host.bsky.network/xrpc/com.atproto.sync.getBlob?did=did:plc:fpruhuo22xkm5o7ttr2ktxdo&cid=bafkreigibgihokkzxwpzzcsiv7fkcvde3t7aeopph6idnbjv6k3cndgt7e
how is everyone holding up with ai-based software development? if you don’t mind sharing, what changed at your company process-wise? anything you love/hate? are things stabilizing or changing with wider swings? i left fulltime coding work just as the change started happening so idk what’s going on
what is the main reason that gradient descent (at least the vanilla version) uses a proportional step to the gradient value? i understand why it needs to use the sign (for direction) but why is being proportional a good idea?
love this feature https://morel.us-east.host.bsky.network/xrpc/com.atproto.sync.getBlob?did=did:plc:fpruhuo22xkm5o7ttr2ktxdo&cid=bafkreidt2jv6f37oxfgzpzih3x4bte2g5axtsazi2asxz5kn6hrllxvh64 https://morel.us-east.host.bsky.network/xrpc/com.atproto.sync.getBlob?did=did:plc:fpruhuo22xkm5o7ttr2ktxdo&cid=bafkreicb7vifplwtgzobsxrmxkaeyutce6zlkc6r6pqm22gvqdonddiwqu https://morel.us-east.host.bsky.network/xrpc/com.atproto.sync.getBlob?did=did:plc:fpruhuo22xkm5o7ttr2ktxdo&cid=bafkreiegkhvvwykqdzjrsc2kcktsb5rvlddlax52cyrh6r4wcbx4kqhnfa
yes but also it would be nice to give the design a bit more character in general. any takers RE: View quoted note →
i barely use reddit, and my reddit feed (yeah it has a feed! or “for you”. or “personalized homepage”. whatever) is 5000% better than Discover. tbh i think i’ll spend most of my time there until the Discover algo gets much better
why does ml actually work? i understand backpropagation but that's about it. are we "looking for a function"? why are these functions particularly "arrivable at" via ml and transformers or diffusion? what is it about nn? any compelling evidence it's "enough" or are there other structural approaches?
i still kinda want reddit for bluesky. is anyone working on this
moving to rollup was a gamechanger for react repo’s build process (imo). rollup and gcc (closure compiler) RE: