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",
{
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"atomUri": "ostatus:atomUri",
"inReplyToAtomUri": "ostatus:inReplyToAtomUri",
"conversation": "ostatus:conversation",
"sensitive": "as:sensitive",
"toot": "http://joinmastodon.org/ns#",
"votersCount": "toot:votersCount",
"litepub": "http://litepub.social/ns#",
"directMessage": "litepub:directMessage",
"Hashtag": "as:Hashtag"
}
],
"id": "https://tldr.nettime.org/users/remixtures/statuses/114641904517156419",
"type": "Note",
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"published": "2025-06-07T11:43:58Z",
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"content": "<p>"Last year, China saw a boom in foundation models, the do-everything large language models that underpin the AI revolution. This year, the focus has shifted to AI agents—systems that are less about responding to users’ queries and more about autonomously accomplishing things for them. </p><p>There are now a host of Chinese startups building these general-purpose digital tools, which can answer emails, browse the internet to plan vacations, and even design an interactive website. Many of these have emerged in just the last two months, following in the footsteps of Manus—a general AI agent that sparked weeks of social media frenzy for invite codes after its limited-release launch in early March. </p><p>These emerging AI agents aren’t large language models themselves. Instead, they’re built on top of them, using a workflow-based structure designed to get things done. A lot of these systems also introduce a different way of interacting with AI. Rather than just chatting back and forth with users, they are optimized for managing and executing multistep tasks—booking flights, managing schedules, conducting research—by using external tools and remembering instructions. </p><p>China could take the lead on building these kinds of agents. The country’s tightly integrated app ecosystems, rapid product cycles, and digitally fluent user base could provide a favorable environment for embedding AI into daily life."</p><p><a href=\"https://www.technologyreview.com/2025/06/05/1117958/china-ai-agent-boom\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://www.</span><span class=\"ellipsis\">technologyreview.com/2025/06/0</span><span class=\"invisible\">5/1117958/china-ai-agent-boom</span></a></p><p><a href=\"https://tldr.nettime.org/tags/AI\" class=\"mention hashtag\" rel=\"tag\">#<span>AI</span></a> <a href=\"https://tldr.nettime.org/tags/GenerativeAI\" class=\"mention hashtag\" rel=\"tag\">#<span>GenerativeAI</span></a> <a href=\"https://tldr.nettime.org/tags/Manus\" class=\"mention hashtag\" rel=\"tag\">#<span>Manus</span></a> <a href=\"https://tldr.nettime.org/tags/AIAgents\" class=\"mention hashtag\" rel=\"tag\">#<span>AIAgents</span></a> <a href=\"https://tldr.nettime.org/tags/China\" class=\"mention hashtag\" rel=\"tag\">#<span>China</span></a></p>",
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"pt": "<p>"Last year, China saw a boom in foundation models, the do-everything large language models that underpin the AI revolution. This year, the focus has shifted to AI agents—systems that are less about responding to users’ queries and more about autonomously accomplishing things for them. </p><p>There are now a host of Chinese startups building these general-purpose digital tools, which can answer emails, browse the internet to plan vacations, and even design an interactive website. Many of these have emerged in just the last two months, following in the footsteps of Manus—a general AI agent that sparked weeks of social media frenzy for invite codes after its limited-release launch in early March. </p><p>These emerging AI agents aren’t large language models themselves. Instead, they’re built on top of them, using a workflow-based structure designed to get things done. A lot of these systems also introduce a different way of interacting with AI. Rather than just chatting back and forth with users, they are optimized for managing and executing multistep tasks—booking flights, managing schedules, conducting research—by using external tools and remembering instructions. </p><p>China could take the lead on building these kinds of agents. The country’s tightly integrated app ecosystems, rapid product cycles, and digitally fluent user base could provide a favorable environment for embedding AI into daily life."</p><p><a href=\"https://www.technologyreview.com/2025/06/05/1117958/china-ai-agent-boom\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://www.</span><span class=\"ellipsis\">technologyreview.com/2025/06/0</span><span class=\"invisible\">5/1117958/china-ai-agent-boom</span></a></p><p><a href=\"https://tldr.nettime.org/tags/AI\" class=\"mention hashtag\" rel=\"tag\">#<span>AI</span></a> <a href=\"https://tldr.nettime.org/tags/GenerativeAI\" class=\"mention hashtag\" rel=\"tag\">#<span>GenerativeAI</span></a> <a href=\"https://tldr.nettime.org/tags/Manus\" class=\"mention hashtag\" rel=\"tag\">#<span>Manus</span></a> <a href=\"https://tldr.nettime.org/tags/AIAgents\" class=\"mention hashtag\" rel=\"tag\">#<span>AIAgents</span></a> <a href=\"https://tldr.nettime.org/tags/China\" class=\"mention hashtag\" rel=\"tag\">#<span>China</span></a></p>"
},
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},
{
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},
{
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"name": "#manus"
},
{
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"name": "#aiagents"
},
{
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"href": "https://tldr.nettime.org/tags/china",
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}
],
"replies": {
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"likes": {
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