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",
"https://social.matchu.dev/schemas/litepub-0.1.jsonld",
{
"@language": "und"
}
],
"actor": "https://social.matchu.dev/users/matchu",
"attachment": [],
"attributedTo": "https://social.matchu.dev/users/matchu",
"bcc": [],
"bto": [],
"cc": [],
"context": "tag:tldr.nettime.org,2024-10-26:objectId=20677253:objectType=Conversation",
"conversation": "tag:tldr.nettime.org,2024-10-26:objectId=20677253:objectType=Conversation",
"id": "https://social.matchu.dev/activities/5969b4a2-6e13-42a2-9aff-12ec03d2864a",
"object": {
"data": {
"actor": "https://tldr.nettime.org/users/festal",
"announcement_count": 3,
"announcements": [
"https://social.matchu.dev/users/matchu",
"https://hachyderm.io/users/recursive",
"https://mastodon.social/users/glyph"
],
"attachment": [],
"attributedTo": "https://tldr.nettime.org/users/festal",
"bcc": [],
"bto": [],
"cc": [
"https://tldr.nettime.org/users/festal/followers"
],
"content": "<p>Fascinating article about the as yet unpredictable changes AI brings to complex knowledge work. Here the case of radiology. The early predictions of displacement of humans by machines have not come to pass (though, as always, they have simply been pushed into the future).</p><p>For me, this is the most interesting part, and one that I think applies quite generally.</p><p>"Still, I have reservations about AI in radiology, particularly when it comes to education. One of the main promises of AI is that it will handle the “easy” scans, freeing radiologists to concentrate on the “harder” stuff. I bristle at this forecast, since the “easy” cases are only so after we read thousands of them during our training—and for me they’re still not so easy! The only reason my mentors are able to interpret more advanced imaging is that they have an immense grounding in these fundamentals."</p><p>If you automate the easy stuff, it's much harder to gain experience necessary to do the harder stuff, This applies to any craft and all creative/knowledge work as an important element of craft to it.</p><p><a href=\"https://newrepublic.com/article/187203/ai-radiology-geoffrey-hinton-nobel-prediction\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">newrepublic.com/article/187203</span><span class=\"invisible\">/ai-radiology-geoffrey-hinton-nobel-prediction</span></a></p>",
"contentMap": {
"en": "<p>Fascinating article about the as yet unpredictable changes AI brings to complex knowledge work. Here the case of radiology. The early predictions of displacement of humans by machines have not come to pass (though, as always, they have simply been pushed into the future).</p><p>For me, this is the most interesting part, and one that I think applies quite generally.</p><p>"Still, I have reservations about AI in radiology, particularly when it comes to education. One of the main promises of AI is that it will handle the “easy” scans, freeing radiologists to concentrate on the “harder” stuff. I bristle at this forecast, since the “easy” cases are only so after we read thousands of them during our training—and for me they’re still not so easy! The only reason my mentors are able to interpret more advanced imaging is that they have an immense grounding in these fundamentals."</p><p>If you automate the easy stuff, it's much harder to gain experience necessary to do the harder stuff, This applies to any craft and all creative/knowledge work as an important element of craft to it.</p><p><a href=\"https://newrepublic.com/article/187203/ai-radiology-geoffrey-hinton-nobel-prediction\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">newrepublic.com/article/187203</span><span class=\"invisible\">/ai-radiology-geoffrey-hinton-nobel-prediction</span></a></p>"
},
"context": "tag:tldr.nettime.org,2024-10-26:objectId=20677253:objectType=Conversation",
"emoji": {},
"id": "https://tldr.nettime.org/users/festal/statuses/113373333803787443",
"like_count": 1,
"likes": [
"https://social.matchu.dev/users/matchu"
],
"published": "2024-10-26T10:49:45Z",
"replies": [
"https://climatejustice.social/users/thorsten4future/statuses/113373416401813364",
"https://mastodon.social/users/urlyman/statuses/113373538914723058",
"https://mastodon.scot/users/nusher/statuses/113373680928668439",
"https://toot.wales/users/epistatacadam/statuses/113373690318607821",
"https://fediscience.org/users/christian_zerfass/statuses/113373728098993420",
"https://polyglot.city/users/zombiecide/statuses/113373740193053844",
"https://fandom.ink/users/Magess/statuses/113373743843051069",
"https://appdot.net/users/jgordon/statuses/113373843615668227",
"https://mstdn.social/users/mcnado/statuses/113373892720342249",
"https://kolektiva.social/users/compost_funeral/statuses/113373949586972814",
"https://merveilles.town/users/0gust1/statuses/113374074321998839",
"https://hachyderm.io/users/Beeks/statuses/113374216182372983",
"https://writeout.ink/users/ljwrites/statuses/113374248888611191",
"https://mastodon.online/users/MartyFouts/statuses/113374349268308525"
],
"repliesCount": 14,
"replies_count": 0,
"sensitive": false,
"tag": [],
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"type": "Note",
"updated": "2024-10-26T11:16:37Z",
"url": "https://tldr.nettime.org/@festal/113373333803787443"
}
},
"published": "2024-10-27T18:05:29.871462Z",
"tag": [
{
"href": "https://tldr.nettime.org/users/festal",
"name": "@festal@tldr.nettime.org",
"type": "Mention"
}
],
"to": [
"https://social.matchu.dev/users/matchu/followers",
"https://tldr.nettime.org/users/festal",
"https://www.w3.org/ns/activitystreams#Public"
],
"type": "Announce"
}