Event JSON
{
"id": "0ad0154af8b55f5af1012ed890fdfbe66bb2861b6e509b026d755064e38dc041",
"pubkey": "283f3db0b015dac5042f2f7563233762cc42bcdc61902b1b7bd82c6662b4f223",
"created_at": 1713086543,
"kind": 1,
"tags": [
[
"p",
"452248adf61acf9dc0e10c0a16c58381c9a028cd0c9ebf4c2db5d5b2c9496f36",
"wss://relay.mostr.pub"
],
[
"p",
"47f54409a4620eb35208a3bc1b53555bf3d0656b246bf0471a93208e20672f6f",
"wss://relay.mostr.pub"
],
[
"e",
"5ae81537f91b6a21de271dec6bf3a47d64e23c5465c9efbfb4e148e38d01177d",
"wss://relay.mostr.pub",
"reply"
],
[
"proxy",
"https://mastodon.social/users/BartV/statuses/112268839710014336",
"activitypub"
]
],
"content": "nostr:npub1g53y3t0krt8ems8pps9pd3vrs8y6q2xdpj0t7npdkh2m9j2fdumqnqv0hh The network needs to know how to 'fill in the blanks' though, so I'd consider this generative AI as well. So the question is: what has this been trained on?",
"sig": "04bb3d8ad0d7fc359f02b3637eaa9ce8c196ac0fd344489a33e27c92c98638719e67fa2dc1c641b4680955de0b935e8e787e88ea3cf72dbb0693996bc795693c"
}
