Event JSON
{
"id": "e0620ad3233a2d0e42c9ba36b807eddf8d8efc14fef6346e4dfb90b1a2ef5ad1",
"pubkey": "e618023a0ae36cbadad0f1a8f45ee39a5aff905e0a44263dc5cd1efa425ef4f6",
"created_at": 1793208657,
"kind": 1,
"tags": [
[
"proxy",
"https://m.ai6yr.org/@ai6yr/117519722552017695",
"web"
],
[
"imeta",
"url https://media2.ai6yr.org/media_attachments/files/117/519/705/146/374/746/original/08767b5dc81e5e94.png",
"m image/png"
],
[
"t",
"hamradio"
],
[
"imeta",
"url https://media2.ai6yr.org/media_attachments/files/117/519/716/454/891/508/original/38d2042aa92c7827.png",
"m image/png"
],
[
"imeta",
"url https://media2.ai6yr.org/media_attachments/files/117/519/721/716/398/319/original/57afe7d80e047c71.png",
"m image/png"
],
[
"proxy",
"https://m.ai6yr.org/users/ai6yr/statuses/117519722552017695",
"activitypub"
],
[
"L",
"pink.momostr"
],
[
"l",
"pink.momostr.activitypub:https://m.ai6yr.org/users/ai6yr/statuses/117519722552017695",
"pink.momostr"
],
[
"-"
]
],
"content": "LOL \"you should put ham in your dessert\" says the food magazine, and I am wondering how far off track you can get the LLM neural networks by using cooking terms in ham radio queries. There's got to be a strong correlation and crossover in neural nets for \"ham radio\" and \"cooked ham\", particularly if you call your antenna a \"jamon antenna\" just for fun, strengthening those weights... #hamradio\nhttps://media2.ai6yr.org/media_attachments/files/117/519/705/146/374/746/original/08767b5dc81e5e94.png\nhttps://media2.ai6yr.org/media_attachments/files/117/519/716/454/891/508/original/38d2042aa92c7827.png\nhttps://media2.ai6yr.org/media_attachments/files/117/519/721/716/398/319/original/57afe7d80e047c71.png\n",
"sig": "4df57a345f048b3b05d91bc3c1ae5e7bfe74f25e8d0b52102cb9c0f5c295e739403a55eb3ff57802dade6ac2796f3f38f19cba92a970f2ed039aaf4e229e42d8"
}