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://rukii.net/users/tero/statuses/113372936622330772",
"type": "Note",
"summary": null,
"inReplyTo": null,
"published": "2024-10-26T09:08:45Z",
"url": "https://rukii.net/@tero/113372936622330772",
"attributedTo": "https://rukii.net/users/tero",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
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],
"sensitive": false,
"atomUri": "https://rukii.net/users/tero/statuses/113372936622330772",
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"conversation": "tag:rukii.net,2024-10-26:objectId=318854774:objectType=Conversation",
"content": "<p>In synthetic data used to train AIs, realism isn't the goal.</p><p>By synthetic data I also mean simulations, games, and all sorts of constrained embodiments.</p><p>What is the goal then?</p><p>What we want the AI to learn are actually transferrable skills and knowledge which apply in our target use. If these skills have a general applicability, they are called "ridiculously transferrable skills", and competence in them is one definition of intelligence.</p><p>When realism isn't the goal, we immediately see that we can actually synthesize better data than the real-world has!</p><p>Better data means any data that is more suitable and effective in training these kinds of transferrable skills and knowledge. This can mean anything from making the tasks harder, having better ground truth, structuring the tasks in better curriculums, or in general presenting the skills we want to train in a more efficient fashion.</p><p><a href=\"https://rukii.net/tags/UniversalEmbodiment\" class=\"mention hashtag\" rel=\"tag\">#<span>UniversalEmbodiment</span></a></p>",
"contentMap": {
"en": "<p>In synthetic data used to train AIs, realism isn't the goal.</p><p>By synthetic data I also mean simulations, games, and all sorts of constrained embodiments.</p><p>What is the goal then?</p><p>What we want the AI to learn are actually transferrable skills and knowledge which apply in our target use. If these skills have a general applicability, they are called "ridiculously transferrable skills", and competence in them is one definition of intelligence.</p><p>When realism isn't the goal, we immediately see that we can actually synthesize better data than the real-world has!</p><p>Better data means any data that is more suitable and effective in training these kinds of transferrable skills and knowledge. This can mean anything from making the tasks harder, having better ground truth, structuring the tasks in better curriculums, or in general presenting the skills we want to train in a more efficient fashion.</p><p><a href=\"https://rukii.net/tags/UniversalEmbodiment\" class=\"mention hashtag\" rel=\"tag\">#<span>UniversalEmbodiment</span></a></p>"
},
"attachment": [],
"tag": [
{
"type": "Hashtag",
"href": "https://rukii.net/tags/universalembodiment",
"name": "#universalembodiment"
}
],
"replies": {
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}