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/oliversampson/statuses/112463882216527071/replies",
"type": "Collection",
"first": {
"id": "https://sigmoid.social/users/oliversampson/statuses/112463882216527071/replies?page=true",
"type": "CollectionPage",
"next": "https://sigmoid.social/users/oliversampson/statuses/112463882216527071/replies?only_other_accounts=true&page=true",
"partOf": "https://sigmoid.social/users/oliversampson/statuses/112463882216527071/replies",
"items": [
{
"id": "https://sigmoid.social/users/oliversampson/statuses/112463882235110518",
"type": "Note",
"summary": null,
"inReplyTo": "https://sigmoid.social/users/oliversampson/statuses/112463882216527071",
"published": "2024-05-18T20:04:16Z",
"url": "https://sigmoid.social/@oliversampson/112463882235110518",
"attributedTo": "https://sigmoid.social/users/oliversampson",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://sigmoid.social/users/oliversampson/followers"
],
"sensitive": false,
"atomUri": "https://sigmoid.social/users/oliversampson/statuses/112463882235110518",
"inReplyToAtomUri": "https://sigmoid.social/users/oliversampson/statuses/112463882216527071",
"conversation": "tag:sigmoid.social,2024-05-18:objectId=33288122:objectType=Conversation",
"content": "<p>The decade also brought the large-scale adoption of <a href=\"https://sigmoid.social/tags/GPU\" class=\"mention hashtag\" rel=\"tag\">#<span>GPU</span></a>|s for the <a href=\"https://sigmoid.social/tags/ParallelProcessing\" class=\"mention hashtag\" rel=\"tag\">#<span>ParallelProcessing</span></a> of that ocean of data, especially with the <a href=\"https://sigmoid.social/tags/CUDA\" class=\"mention hashtag\" rel=\"tag\">#<span>CUDA</span></a> library and a slightly different <a href=\"https://sigmoid.social/tags/programming\" class=\"mention hashtag\" rel=\"tag\">#<span>programming</span></a> <a href=\"https://sigmoid.social/tags/paradigm\" class=\"mention hashtag\" rel=\"tag\">#<span>paradigm</span></a> called <a href=\"https://sigmoid.social/tags/DataParallel\" class=\"mention hashtag\" rel=\"tag\">#<span>DataParallel</span></a> programming. This really was a game changer for data-intensive data <a href=\"https://sigmoid.social/tags/MachineLearning\" class=\"mention hashtag\" rel=\"tag\">#<span>MachineLearning</span></a> activities like <a href=\"https://sigmoid.social/tags/DeepLearning\" class=\"mention hashtag\" rel=\"tag\">#<span>DeepLearning</span></a> and started the <a href=\"https://sigmoid.social/tags/AIBoom\" class=\"mention hashtag\" rel=\"tag\">#<span>AIBoom</span></a> we're seeing today. 7/16</p>",
"contentMap": {
"en": "<p>The decade also brought the large-scale adoption of <a href=\"https://sigmoid.social/tags/GPU\" class=\"mention hashtag\" rel=\"tag\">#<span>GPU</span></a>|s for the <a href=\"https://sigmoid.social/tags/ParallelProcessing\" class=\"mention hashtag\" rel=\"tag\">#<span>ParallelProcessing</span></a> of that ocean of data, especially with the <a href=\"https://sigmoid.social/tags/CUDA\" class=\"mention hashtag\" rel=\"tag\">#<span>CUDA</span></a> library and a slightly different <a href=\"https://sigmoid.social/tags/programming\" class=\"mention hashtag\" rel=\"tag\">#<span>programming</span></a> <a href=\"https://sigmoid.social/tags/paradigm\" class=\"mention hashtag\" rel=\"tag\">#<span>paradigm</span></a> called <a href=\"https://sigmoid.social/tags/DataParallel\" class=\"mention hashtag\" rel=\"tag\">#<span>DataParallel</span></a> programming. This really was a game changer for data-intensive data <a href=\"https://sigmoid.social/tags/MachineLearning\" class=\"mention hashtag\" rel=\"tag\">#<span>MachineLearning</span></a> activities like <a href=\"https://sigmoid.social/tags/DeepLearning\" class=\"mention hashtag\" rel=\"tag\">#<span>DeepLearning</span></a> and started the <a href=\"https://sigmoid.social/tags/AIBoom\" class=\"mention hashtag\" rel=\"tag\">#<span>AIBoom</span></a> we're seeing today. 7/16</p>"
},
"attachment": [],
"tag": [
{
"type": "Hashtag",
"href": "https://sigmoid.social/tags/gpu",
"name": "#gpu"
},
{
"type": "Hashtag",
"href": "https://sigmoid.social/tags/parallelprocessing",
"name": "#parallelprocessing"
},
{
"type": "Hashtag",
"href": "https://sigmoid.social/tags/cuda",
"name": "#cuda"
},
{
"type": "Hashtag",
"href": "https://sigmoid.social/tags/programming",
"name": "#programming"
},
{
"type": "Hashtag",
"href": "https://sigmoid.social/tags/paradigm",
"name": "#paradigm"
},
{
"type": "Hashtag",
"href": "https://sigmoid.social/tags/dataparallel",
"name": "#dataparallel"
},
{
"type": "Hashtag",
"href": "https://sigmoid.social/tags/machinelearning",
"name": "#machinelearning"
},
{
"type": "Hashtag",
"href": "https://sigmoid.social/tags/deeplearning",
"name": "#deeplearning"
},
{
"type": "Hashtag",
"href": "https://sigmoid.social/tags/aiboom",
"name": "#aiboom"
}
],
"replies": {
"id": "https://sigmoid.social/users/oliversampson/statuses/112463882235110518/replies",
"type": "Collection",
"first": {
"type": "CollectionPage",
"next": "https://sigmoid.social/users/oliversampson/statuses/112463882235110518/replies?min_id=112463882256881380&page=true",
"partOf": "https://sigmoid.social/users/oliversampson/statuses/112463882235110518/replies",
"items": [
"https://sigmoid.social/users/oliversampson/statuses/112463882256881380"
]
}
},
"likes": {
"id": "https://sigmoid.social/users/oliversampson/statuses/112463882235110518/likes",
"type": "Collection",
"totalItems": 1
},
"shares": {
"id": "https://sigmoid.social/users/oliversampson/statuses/112463882235110518/shares",
"type": "Collection",
"totalItems": 0
}
}
]
}
}