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://sigmoid.social/users/nsaphra/statuses/109560317585792328",
"type": "Note",
"summary": null,
"inReplyTo": null,
"published": "2022-12-23T01:09:35Z",
"url": "https://sigmoid.social/@nsaphra/109560317585792328",
"attributedTo": "https://sigmoid.social/users/nsaphra",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://sigmoid.social/users/nsaphra/followers"
],
"sensitive": false,
"atomUri": "https://sigmoid.social/users/nsaphra/statuses/109560317585792328",
"inReplyToAtomUri": null,
"conversation": "tag:sigmoid.social,2022-12-23:objectId=3150330:objectType=Conversation",
"content": "<p>Is there a good way to decompose the gradient during training so you can only update in directions influenced by particular input features? <a href=\"https://sigmoid.social/tags/machinelearning\" class=\"mention hashtag\" rel=\"tag\">#<span>machinelearning</span></a> <a href=\"https://sigmoid.social/tags/xai\" class=\"mention hashtag\" rel=\"tag\">#<span>xai</span></a></p>",
"contentMap": {
"en": "<p>Is there a good way to decompose the gradient during training so you can only update in directions influenced by particular input features? <a href=\"https://sigmoid.social/tags/machinelearning\" class=\"mention hashtag\" rel=\"tag\">#<span>machinelearning</span></a> <a href=\"https://sigmoid.social/tags/xai\" class=\"mention hashtag\" rel=\"tag\">#<span>xai</span></a></p>"
},
"updated": "2022-12-23T01:31:06Z",
"attachment": [],
"tag": [
{
"type": "Hashtag",
"href": "https://sigmoid.social/tags/machinelearning",
"name": "#machinelearning"
},
{
"type": "Hashtag",
"href": "https://sigmoid.social/tags/xai",
"name": "#xai"
}
],
"replies": {
"id": "https://sigmoid.social/users/nsaphra/statuses/109560317585792328/replies",
"type": "Collection",
"first": {
"type": "CollectionPage",
"next": "https://sigmoid.social/users/nsaphra/statuses/109560317585792328/replies?only_other_accounts=true&page=true",
"partOf": "https://sigmoid.social/users/nsaphra/statuses/109560317585792328/replies",
"items": []
}
},
"likes": {
"id": "https://sigmoid.social/users/nsaphra/statuses/109560317585792328/likes",
"type": "Collection",
"totalItems": 1
},
"shares": {
"id": "https://sigmoid.social/users/nsaphra/statuses/109560317585792328/shares",
"type": "Collection",
"totalItems": 3
}
}