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"
}
],
"id": "https://ellis.social/users/nolovedeeplearning/statuses/110065808895703059",
"type": "Note",
"summary": null,
"inReplyTo": "https://mastodon.social/users/emtiyaz/statuses/110064620427056633",
"published": "2023-03-22T07:42:40Z",
"url": "https://ellis.social/@nolovedeeplearning/110065808895703059",
"attributedTo": "https://ellis.social/users/nolovedeeplearning",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://ellis.social/users/nolovedeeplearning/followers",
"https://mastodon.social/users/emtiyaz"
],
"sensitive": false,
"atomUri": "https://ellis.social/users/nolovedeeplearning/statuses/110065808895703059",
"inReplyToAtomUri": "https://mastodon.social/users/emtiyaz/statuses/110064620427056633",
"conversation": "tag:ellis.social,2023-03-21:objectId=1924449:objectType=Conversation",
"content": "<p><span class=\"h-card\"><a href=\"https://mastodon.social/@emtiyaz\" class=\"u-url mention\">@<span>emtiyaz</span></a></span> very true!<br />If I may add, all the metrics for forgetting (and transfer) we have nowadays only give a very "partial" story: the measure some instantaneous change in downstream performance. But what about what the inner representations that the model has learned?</p>",
"contentMap": {
"en": "<p><span class=\"h-card\"><a href=\"https://mastodon.social/@emtiyaz\" class=\"u-url mention\">@<span>emtiyaz</span></a></span> very true!<br />If I may add, all the metrics for forgetting (and transfer) we have nowadays only give a very "partial" story: the measure some instantaneous change in downstream performance. But what about what the inner representations that the model has learned?</p>"
},
"attachment": [],
"tag": [
{
"type": "Mention",
"href": "https://mastodon.social/users/emtiyaz",
"name": "@emtiyaz@mastodon.social"
}
],
"replies": {
"id": "https://ellis.social/users/nolovedeeplearning/statuses/110065808895703059/replies",
"type": "Collection",
"first": {
"type": "CollectionPage",
"next": "https://ellis.social/users/nolovedeeplearning/statuses/110065808895703059/replies?only_other_accounts=true&page=true",
"partOf": "https://ellis.social/users/nolovedeeplearning/statuses/110065808895703059/replies",
"items": []
}
}
}