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://metasocial.com/users/joshuagay/statuses/112736793054121384",
"type": "Note",
"summary": null,
"inReplyTo": "https://gnusocial.net/object/note/18136051",
"published": "2024-07-06T00:49:04Z",
"url": "https://metasocial.com/@joshuagay/112736793054121384",
"attributedTo": "https://metasocial.com/users/joshuagay",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://metasocial.com/users/joshuagay/followers",
"https://gnusocial.net/index.php/user/157720"
],
"sensitive": false,
"atomUri": "https://metasocial.com/users/joshuagay/statuses/112736793054121384",
"inReplyToAtomUri": "https://gnusocial.net/object/note/18136051",
"conversation": "tag:metasocial.com,2024-07-05:objectId=4420028:objectType=Conversation",
"content": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://gnusocial.net/lxo\" class=\"u-url mention\">@<span>lxo</span></a></span> Let's say I have created a cool BigNumber library that performs math functions really well.</p><p>So I take my library and generate a lot of small object code blobs. Labels are the function and parameter calls associated with the object code blobs (fft, cosine, lambda, etc). </p><p>I train a model with a feed forward neural network so that the function call labels can be used to predict blobs. </p><p>My free software programs replace GNU's big number library with this AI model.</p>",
"contentMap": {
"en": "<p><span class=\"h-card\" translate=\"no\"><a href=\"https://gnusocial.net/lxo\" class=\"u-url mention\">@<span>lxo</span></a></span> Let's say I have created a cool BigNumber library that performs math functions really well.</p><p>So I take my library and generate a lot of small object code blobs. Labels are the function and parameter calls associated with the object code blobs (fft, cosine, lambda, etc). </p><p>I train a model with a feed forward neural network so that the function call labels can be used to predict blobs. </p><p>My free software programs replace GNU's big number library with this AI model.</p>"
},
"attachment": [],
"tag": [
{
"type": "Mention",
"href": "https://gnusocial.net/index.php/user/157720",
"name": "@lxo@gnusocial.net"
}
],
"replies": {
"id": "https://metasocial.com/users/joshuagay/statuses/112736793054121384/replies",
"type": "Collection",
"first": {
"type": "CollectionPage",
"next": "https://metasocial.com/users/joshuagay/statuses/112736793054121384/replies?only_other_accounts=true&page=true",
"partOf": "https://metasocial.com/users/joshuagay/statuses/112736793054121384/replies",
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}