ActivityPub Viewer

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.

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{ "@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://social.coop/users/eric/statuses/114348381280217178", "type": "Note", "summary": null, "inReplyTo": "https://social.coop/users/eric/statuses/113964318177451822", "published": "2025-04-16T15:37:09Z", "url": "https://social.coop/@eric/114348381280217178", "attributedTo": "https://social.coop/users/eric", "to": [ "https://www.w3.org/ns/activitystreams#Public" ], "cc": [ "https://social.coop/users/eric/followers" ], "sensitive": false, "atomUri": "https://social.coop/users/eric/statuses/114348381280217178", "inReplyToAtomUri": "https://social.coop/users/eric/statuses/113964318177451822", "conversation": "tag:social.coop,2023-02-12:objectId=54048271:objectType=Conversation", "content": "<p><a href=\"https://social.coop/tags/LLMs\" class=\"mention hashtag\" rel=\"tag\">#<span>LLMs</span></a> can be used for rituals since they tend to fabulate in expected ways:</p><p>&quot;Because LLMs have no internal mental processes they are aptly suited to answering such ritualised prompts, spinning out the required clichés with slight variations. As Dan Davies, a writer, puts it, they tend to regurgitate “maximally unsurprising outcomes”. For the first time, we have non-human, non-intelligent processes that can generatively enact ritual at high speed and industrial scale.&quot;</p><p><a href=\"https://archive.is/20240927101805/https://www.economist.com/by-invitation/2024/09/04/large-language-models-will-upend-human-rituals\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">archive.is/20240927101805/http</span><span class=\"invisible\">s://www.economist.com/by-invitation/2024/09/04/large-language-models-will-upend-human-rituals</span></a></p>", "contentMap": { "en": "<p><a href=\"https://social.coop/tags/LLMs\" class=\"mention hashtag\" rel=\"tag\">#<span>LLMs</span></a> can be used for rituals since they tend to fabulate in expected ways:</p><p>&quot;Because LLMs have no internal mental processes they are aptly suited to answering such ritualised prompts, spinning out the required clichés with slight variations. As Dan Davies, a writer, puts it, they tend to regurgitate “maximally unsurprising outcomes”. For the first time, we have non-human, non-intelligent processes that can generatively enact ritual at high speed and industrial scale.&quot;</p><p><a href=\"https://archive.is/20240927101805/https://www.economist.com/by-invitation/2024/09/04/large-language-models-will-upend-human-rituals\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">archive.is/20240927101805/http</span><span class=\"invisible\">s://www.economist.com/by-invitation/2024/09/04/large-language-models-will-upend-human-rituals</span></a></p>" }, "attachment": [], "tag": [ { "type": "Hashtag", "href": "https://social.coop/tags/LLMs", "name": "#LLMs" } ], "replies": { "id": "https://social.coop/users/eric/statuses/114348381280217178/replies", "type": "Collection", "first": { "type": "CollectionPage", "next": "https://social.coop/users/eric/statuses/114348381280217178/replies?only_other_accounts=true&page=true", "partOf": "https://social.coop/users/eric/statuses/114348381280217178/replies", "items": [] } }, "likes": { "id": "https://social.coop/users/eric/statuses/114348381280217178/likes", "type": "Collection", "totalItems": 1 }, "shares": { "id": "https://social.coop/users/eric/statuses/114348381280217178/shares", "type": "Collection", "totalItems": 0 } }