Event JSON
{
"id": "eba460fd6ffeaa1410c7c5d104501b5368e83609748a08fb618fa4e5692a4a60",
"pubkey": "0d48d125ded5febab1069979cfa53915b934945b16ee89cdd65b278cec9e5050",
"created_at": 1706593180,
"kind": 1,
"tags": [
[
"p",
"8599d6abea70cc86ed7a21ac5b2d4395dd45f31215d34a86cb4814843c174388",
"wss://relay.mostr.pub"
],
[
"p",
"ab7cf35b515138085c5ebb4739cbc59449c48c372579e19336d847e6096e6268",
"wss://relay.mostr.pub"
],
[
"p",
"9926f6c53162329fcb33481f0c5db4a015bdd63d564636ea13c35d4975c176e3",
"wss://relay.mostr.pub"
],
[
"p",
"c71a5284689572bfd0beef4cbb9b331e25b49be5535123c2692f4a13e17c0a48",
"wss://relay.mostr.pub"
],
[
"e",
"e54a38a056dbdd43acef2e8efa75a8daee84d3c84e9fdff0abb6694a490a5ec5",
"wss://relay.mostr.pub",
"reply"
],
[
"proxy",
"https://fediscience.org/users/UlrikeHahn/statuses/111843290647775203",
"activitypub"
]
],
"content": "nostr:npub1skvad2l2wrxgdmt6yxk9kt2rjhw5tucjzhf54pktfq2gg0qhgwyqdlaky3 nostr:npub14d70xk632yuqshz7hdrnnj79j3yufrphy4u7ryekmpr7vztwvf5q8zdm4s my personal take is that this paper has an important point but not a solution, because the full scale of the problem is (to my mind) still not fully grasped. To explain: imagine you are trying to understand a little agent-based model you have. It’s a complex dynamical system, so you can’t just pick out a few random parameter combinations and form local theories and hope to come up with deep understanding. You need to systematically explore the parameter space 1/2",
"sig": "38773a3271788b481d5a362463d373637244979212f72c3f7b2015910cfe0d1896d16ef4b03c4333bbed278e46691d2caaa9631aa2f8c64e153f86e32ad57e1a"
}