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://mstdn.jp/users/bsmall2/statuses/113914353570792047",
"type": "Note",
"summary": null,
"inReplyTo": null,
"published": "2025-01-29T23:58:12Z",
"url": "https://mstdn.jp/@bsmall2/113914353570792047",
"attributedTo": "https://mstdn.jp/users/bsmall2",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://mstdn.jp/users/bsmall2/followers"
],
"sensitive": false,
"atomUri": "https://mstdn.jp/users/bsmall2/statuses/113914353570792047",
"inReplyToAtomUri": null,
"conversation": "tag:mstdn.jp,2025-01-29:objectId=584498914:objectType=Conversation",
"content": "<p>> V3 was trained at a reported cost of about US$5.58 million. This is dramatically cheaper than GPT-4, for example, which cost more than US$100 million to develop.<br />> DeepSeek also claims to have trained V3 using around 2,000 specialised computer chips, specifically H800 GPUs made by NVIDIA. This is again much fewer than other companies, which may have used up to 16,000 of the more powerful H100 chips.<br /> <a href=\"https://www.counterpunch.org/2025/01/29/deepseek-how-a-small-chinese-ai-company-is-shaking-up-us-tech-heavyweights/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"><span class=\"invisible\">https://www.</span><span class=\"ellipsis\">counterpunch.org/2025/01/29/de</span><span class=\"invisible\">epseek-how-a-small-chinese-ai-company-is-shaking-up-us-tech-heavyweights/</span></a><br /> <a href=\"https://mstdn.jp/tags/DeepSeek\" class=\"mention hashtag\" rel=\"tag\">#<span>DeepSeek</span></a> <a href=\"https://mstdn.jp/tags/AISalami\" class=\"mention hashtag\" rel=\"tag\">#<span>AISalami</span></a> <a href=\"https://mstdn.jp/tags/AIChips\" class=\"mention hashtag\" rel=\"tag\">#<span>AIChips</span></a> <br /> <a href=\"https://mstdn.jp/tags/TongliangLiu\" class=\"mention hashtag\" rel=\"tag\">#<span>TongliangLiu</span></a></p>",
"contentMap": {
"en": "<p>> V3 was trained at a reported cost of about US$5.58 million. This is dramatically cheaper than GPT-4, for example, which cost more than US$100 million to develop.<br />> DeepSeek also claims to have trained V3 using around 2,000 specialised computer chips, specifically H800 GPUs made by NVIDIA. This is again much fewer than other companies, which may have used up to 16,000 of the more powerful H100 chips.<br /> <a href=\"https://www.counterpunch.org/2025/01/29/deepseek-how-a-small-chinese-ai-company-is-shaking-up-us-tech-heavyweights/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"><span class=\"invisible\">https://www.</span><span class=\"ellipsis\">counterpunch.org/2025/01/29/de</span><span class=\"invisible\">epseek-how-a-small-chinese-ai-company-is-shaking-up-us-tech-heavyweights/</span></a><br /> <a href=\"https://mstdn.jp/tags/DeepSeek\" class=\"mention hashtag\" rel=\"tag\">#<span>DeepSeek</span></a> <a href=\"https://mstdn.jp/tags/AISalami\" class=\"mention hashtag\" rel=\"tag\">#<span>AISalami</span></a> <a href=\"https://mstdn.jp/tags/AIChips\" class=\"mention hashtag\" rel=\"tag\">#<span>AIChips</span></a> <br /> <a href=\"https://mstdn.jp/tags/TongliangLiu\" class=\"mention hashtag\" rel=\"tag\">#<span>TongliangLiu</span></a></p>"
},
"attachment": [],
"tag": [
{
"type": "Hashtag",
"href": "https://mstdn.jp/tags/tongliangliu",
"name": "#tongliangliu"
},
{
"type": "Hashtag",
"href": "https://mstdn.jp/tags/aichips",
"name": "#aichips"
},
{
"type": "Hashtag",
"href": "https://mstdn.jp/tags/aisalami",
"name": "#aisalami"
},
{
"type": "Hashtag",
"href": "https://mstdn.jp/tags/deepseek",
"name": "#deepseek"
}
],
"replies": {
"id": "https://mstdn.jp/users/bsmall2/statuses/113914353570792047/replies",
"type": "Collection",
"first": {
"type": "CollectionPage",
"next": "https://mstdn.jp/users/bsmall2/statuses/113914353570792047/replies?only_other_accounts=true&page=true",
"partOf": "https://mstdn.jp/users/bsmall2/statuses/113914353570792047/replies",
"items": []
}
}
}