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"
}
],
"id": "https://techhub.social/users/victorp/statuses/113962305357319793",
"type": "Note",
"summary": null,
"inReplyTo": "https://techhub.social/users/victorp/statuses/113962299352319227",
"published": "2025-02-07T11:12:58Z",
"url": "https://techhub.social/@victorp/113962305357319793",
"attributedTo": "https://techhub.social/users/victorp",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://techhub.social/users/victorp/followers"
],
"sensitive": false,
"atomUri": "https://techhub.social/users/victorp/statuses/113962305357319793",
"inReplyToAtomUri": "https://techhub.social/users/victorp/statuses/113962299352319227",
"conversation": "tag:techhub.social,2025-02-07:objectId=230271584:objectType=Conversation",
"content": "<p>AI FACTORIES:</p><p>🔹 DeepSeek AI (China)</p><p>GPU Cluster: ~50,000 GPUs, including NVIDIA H800 & A100.</p><p>AI Factory: Shared infrastructure with High-Flyer hedge fund.</p><p>Key Strength: Efficient AI training despite US chip restrictions (MoE architecture, low-level CUDA optimizations).</p><p>Focus Areas: Open-weight AI models like DeepSeek-R1 (reasoning AI) and DeepSeek-V3 (chat AI).</p><p>🔹 OpenAI (USA)</p><p>GPU Cluster: Over 100,000 NVIDIA GPUs, mainly H100, H200, Blackwell.</p><p>AI Factory: Microsoft Azure is building 100+ AI supercomputers exclusively for OpenAI.</p><p>Key Strength: Leader in proprietary AI (GPT-4o, reasoning models).</p><p>Focus Areas: ChatGPT, advanced reasoning AI models.</p><p>🔹 Google DeepMind (USA/UK)</p><p>GPU Cluster: Over 100,000 GPUs, using Google’s TPU v5 + NVIDIA H100s.</p><p>AI Factory: Runs on Google Cloud TPU supercomputers.</p><p>Key Strength: AI self-improvement techniques and reinforcement learning (e.g., AlphaGo, Gemini models).</p><p>Focus Areas: AI reasoning, search integration, and self-learning AI.</p>",
"contentMap": {
"en": "<p>AI FACTORIES:</p><p>🔹 DeepSeek AI (China)</p><p>GPU Cluster: ~50,000 GPUs, including NVIDIA H800 & A100.</p><p>AI Factory: Shared infrastructure with High-Flyer hedge fund.</p><p>Key Strength: Efficient AI training despite US chip restrictions (MoE architecture, low-level CUDA optimizations).</p><p>Focus Areas: Open-weight AI models like DeepSeek-R1 (reasoning AI) and DeepSeek-V3 (chat AI).</p><p>🔹 OpenAI (USA)</p><p>GPU Cluster: Over 100,000 NVIDIA GPUs, mainly H100, H200, Blackwell.</p><p>AI Factory: Microsoft Azure is building 100+ AI supercomputers exclusively for OpenAI.</p><p>Key Strength: Leader in proprietary AI (GPT-4o, reasoning models).</p><p>Focus Areas: ChatGPT, advanced reasoning AI models.</p><p>🔹 Google DeepMind (USA/UK)</p><p>GPU Cluster: Over 100,000 GPUs, using Google’s TPU v5 + NVIDIA H100s.</p><p>AI Factory: Runs on Google Cloud TPU supercomputers.</p><p>Key Strength: AI self-improvement techniques and reinforcement learning (e.g., AlphaGo, Gemini models).</p><p>Focus Areas: AI reasoning, search integration, and self-learning AI.</p>"
},
"attachment": [],
"tag": [],
"replies": {
"id": "https://techhub.social/users/victorp/statuses/113962305357319793/replies",
"type": "Collection",
"first": {
"type": "CollectionPage",
"next": "https://techhub.social/users/victorp/statuses/113962305357319793/replies?only_other_accounts=true&page=true",
"partOf": "https://techhub.social/users/victorp/statuses/113962305357319793/replies",
"items": []
}
},
"likes": {
"id": "https://techhub.social/users/victorp/statuses/113962305357319793/likes",
"type": "Collection",
"totalItems": 0
},
"shares": {
"id": "https://techhub.social/users/victorp/statuses/113962305357319793/shares",
"type": "Collection",
"totalItems": 0
}
}