Event JSON
{
"id": "bb68bb7b4c41fe2dcc50a015f9fa027fdca86b60609e14efe332008b05e57816",
"pubkey": "563ee8fceeeb72200632168dc405f1c4145cc3e85b08915d3d1487446a50e7ec",
"created_at": 1729336889,
"kind": 1,
"tags": [
[
"p",
"ac5d6c3af99addf1dda99d03551ec005416e6d5d77d5971bca819df127669450",
"wss://nostr.sprovoost.nl"
],
[
"p",
"72930c2b5e3f041aed8d89dc76d188131f86a3afa41a10763f056a112f71554e",
"wss://nostr.sprovoost.nl"
],
[
"e",
"0edd7c8bc870d52cc37c04195e97a4d5692123790f17df2759f7b010ae43c8db",
"wss://nostr.sprovoost.nl",
"reply"
],
[
"proxy",
"https://mastodon.social/users/koen_hufkens/statuses/113333822370684224",
"activitypub"
]
],
"content": "nostr:npub143wkcwhentwlrhdfn5p428kqq4qkum2awl2ewx72sxwlzfmxj3gqlh00vw If this proportionally reduces energy expended this would be true, but this rarely is the case.\n\nOne such cases where it does work is the speed up, and proportional decline in energy use, using physics informed ML/AI in numerical weather prediction. But this only works because model training \u003c\u003c\u003c\u003c frequently running models at scale.",
"sig": "09cad06aeddc62bd1a7ff9bd9b41a612dfe9628a27b43a9e720efb1b026534e1b5422a126fe828408336bbb6a0750e32a2546b5acf63f7a55fa64758c0a61e73"
}