Event JSON
{
"id": "d4baeb16cce71a79f50023375406b7a5abe63af0c6b262f348bebccd6ad42f37",
"pubkey": "c2adcb12bf3f0c8de767082e63293631e663585152d96203393ad23acc6d3fb4",
"created_at": 1700881581,
"kind": 1,
"tags": [
[
"p",
"d08c0db89db967aedc4b383c55cec46ba36022ac0fd44ba227fb02427fc34081",
"wss://relay.mostr.pub"
],
[
"p",
"f8d9bc1cf8b6a200afd1ab8f45d033362f3c33bb784b62ef99e644013d03b4f5",
"wss://relay.mostr.pub"
],
[
"p",
"7e71518e6f347f5dea5e8b7796057ca67d0c26dc7a3a71677590037a71605089",
"wss://relay.mostr.pub"
],
[
"p",
"012f3e11fdc1546a97c2791662d1ae6ab1a0d3ec3fe3ae31e861e59cfde1e3ed",
"wss://relay.mostr.pub"
],
[
"e",
"280cc8fa3d9f1f4d31197f02eb5f35d44e3e2a40fcf5ed9add34fd2391cef4fa",
"wss://relay.mostr.pub",
"reply"
],
[
"proxy",
"https://hcommons.social/users/Benfell/statuses/111468975329566696",
"activitypub"
]
],
"content": "nostr:npub16zxqmwyah9n6ahzt8q79tnkydw3kqg4vpl2yhg38lvpyyl7rgzqsqnxzxc nostr:npub1lrvmc88ck63qpt734w85t5pnxchncvam0p9k9mueuezqz0grkn6s8jtth9 \n\nYou're talking about text analysis, right?\n\nIt'll still be crude and prone to error. It wouldn't be much of a challenge to create an algorithm to count selected keywords in a post and rank it accordingly. But you'll often miss context and this is crucial to understanding it correctly.\n\nYou don't need artificial idiocy for what I describe here. But you would need it to make inferences from the quantitative data. And there, you're right back to hallucinating.",
"sig": "d4af232a7e964da9b110cdbd220b48bb7bec6c6bc57adb38cece7aebf4fe1a2e42e7199e88a13a1112911c4190be636c4ac0d7042d5a5fa8a76c0dc7aa8ceb7b"
}