Event JSON
{
"id": "1eea65e4dc6cbf9fda760ca77feeb932f2aa4ddfbff7d9cc1349e5610d51f564",
"pubkey": "a2f3c64c54a02b513cdf0462dbbd46f37b07ab9e2b4c1edf49df645c511e7cdd",
"created_at": 1721688962,
"kind": 1,
"tags": [
[
"p",
"0d137853ab05e5bcf1ea889d92d587a37fed403ad75f7b5ef6d6acfa95b37e31",
"wss://relay.mostr.pub"
],
[
"p",
"1a2dd5b3edcfb703bae304949a8efb2fc3e36152cf4fda681b23880e6d764c6a",
"wss://relay.mostr.pub"
],
[
"e",
"0539d80218456951b56f014d25fb26dc179f3f28119a1bb8310f4311db41df97",
"wss://relay.mostr.pub",
"reply"
],
[
"proxy",
"https://toot.aquilenet.fr/users/civodul/statuses/112832607860451559",
"activitypub"
]
],
"content": "nostr:npub1p5fhs5atqhjmeu023zwe94v85dl76sp66a0hkhhk66k049dn0ccsylu6aj That paper sounds like justification to continue random business as usual in machine learning. There’s so much bad faith in there that it’s a fun read!",
"sig": "896bdcc9c9feee343928b911449933a328d0917641c25c088abf84ab5dcb6bf37fd3277ae7bc12fe09190ebfd3d47661ec75d43c8c364dd7d589eed36e855a5d"
}