A small tool to view real-world ActivityPub objects as JSON! Enter a URL
or username from Mastodon or a similar service below, and we'll send a
request with
the right
Accept
header
to the server to view the underlying object.
{
"@context": [
"https://www.w3.org/ns/activitystreams",
{
"ostatus": "http://ostatus.org#",
"atomUri": "ostatus:atomUri",
"inReplyToAtomUri": "ostatus:inReplyToAtomUri",
"conversation": "ostatus:conversation",
"sensitive": "as:sensitive",
"toot": "http://joinmastodon.org/ns#",
"votersCount": "toot:votersCount",
"Hashtag": "as:Hashtag"
}
],
"id": "https://mastodon.social/users/adrianco/statuses/112895432215168454",
"type": "Note",
"summary": null,
"inReplyTo": null,
"published": "2024-08-03T01:13:06Z",
"url": "https://mastodon.social/@adrianco/112895432215168454",
"attributedTo": "https://mastodon.social/users/adrianco",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://mastodon.social/users/adrianco/followers"
],
"sensitive": false,
"atomUri": "https://mastodon.social/users/adrianco/statuses/112895432215168454",
"inReplyToAtomUri": null,
"conversation": "tag:mastodon.social,2024-08-03:objectId=766602095:objectType=Conversation",
"content": "<p>I’ve got ~20 years of collected content on technical topics that is all public. I’ve assembled it into a somewhat organized form so that it could be used to train an <a href=\"https://mastodon.social/tags/LLM\" class=\"mention hashtag\" rel=\"tag\">#<span>LLM</span></a> to answer questions by referring to and summarizing what I’ve said over the years. I’ve called this <a href=\"https://mastodon.social/tags/meGPT\" class=\"mention hashtag\" rel=\"tag\">#<span>meGPT</span></a>, and think that it might be useful for other people, consultants, experts etc. I’m sharing freely and don’t want to monetize this, hope it will be useful as an example training set for research. <a href=\"https://github.com/adrianco/megpt\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"\">github.com/adrianco/megpt</span><span class=\"invisible\"></span></a></p>",
"contentMap": {
"en": "<p>I’ve got ~20 years of collected content on technical topics that is all public. I’ve assembled it into a somewhat organized form so that it could be used to train an <a href=\"https://mastodon.social/tags/LLM\" class=\"mention hashtag\" rel=\"tag\">#<span>LLM</span></a> to answer questions by referring to and summarizing what I’ve said over the years. I’ve called this <a href=\"https://mastodon.social/tags/meGPT\" class=\"mention hashtag\" rel=\"tag\">#<span>meGPT</span></a>, and think that it might be useful for other people, consultants, experts etc. I’m sharing freely and don’t want to monetize this, hope it will be useful as an example training set for research. <a href=\"https://github.com/adrianco/megpt\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"\">github.com/adrianco/megpt</span><span class=\"invisible\"></span></a></p>"
},
"updated": "2024-08-06T06:44:14Z",
"attachment": [],
"tag": [
{
"type": "Hashtag",
"href": "https://mastodon.social/tags/llm",
"name": "#llm"
},
{
"type": "Hashtag",
"href": "https://mastodon.social/tags/megpt",
"name": "#megpt"
}
],
"replies": {
"id": "https://mastodon.social/users/adrianco/statuses/112895432215168454/replies",
"type": "Collection",
"first": {
"type": "CollectionPage",
"next": "https://mastodon.social/users/adrianco/statuses/112895432215168454/replies?min_id=112923950951907655&page=true",
"partOf": "https://mastodon.social/users/adrianco/statuses/112895432215168454/replies",
"items": [
"https://mastodon.social/users/adrianco/statuses/112899751905192297",
"https://mastodon.social/users/adrianco/statuses/112923950951907655"
]
}
},
"likes": {
"id": "https://mastodon.social/users/adrianco/statuses/112895432215168454/likes",
"type": "Collection",
"totalItems": 41
},
"shares": {
"id": "https://mastodon.social/users/adrianco/statuses/112895432215168454/shares",
"type": "Collection",
"totalItems": 26
}
}