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://k2pk.com/users/b166ir/statuses/114147559597576670", "type": "Note", "summary": null, "inReplyTo": null, "published": "2025-03-12T04:25:33Z", "url": "https://k2pk.com/@b166ir/114147559597576670", "attributedTo": "https://k2pk.com/users/b166ir", "to": [ "https://www.w3.org/ns/activitystreams#Public" ], "cc": [ "https://k2pk.com/users/b166ir/followers" ], "sensitive": false, "atomUri": "https://k2pk.com/users/b166ir/statuses/114147559597576670", "inReplyToAtomUri": null, "conversation": "tag:k2pk.com,2025-03-12:objectId=134374:objectType=Conversation", "content": "<p><a href=\"https://youtu.be/J4qwuCXyAcU\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"\">youtu.be/J4qwuCXyAcU</span><span class=\"invisible\"></span></a></p><p>In this video, Ollama vs. LM Studio (GGUF), showing that their performance is quite similar, with LM Studio’s tok/sec output used for consistent benchmarking.</p><p>What’s even more impressive? The Mac Studio M3 Ultra pulls under 200W during inference with the Q4 671B R1 model. That’s quite amazing for such performance!</p><p><a href=\"https://k2pk.com/tags/LLMs\" class=\"mention hashtag\" rel=\"tag\">#<span>LLMs</span></a> <a href=\"https://k2pk.com/tags/AI\" class=\"mention hashtag\" rel=\"tag\">#<span>AI</span></a> <a href=\"https://k2pk.com/tags/MachineLearning\" class=\"mention hashtag\" rel=\"tag\">#<span>MachineLearning</span></a> <a href=\"https://k2pk.com/tags/Ollama\" class=\"mention hashtag\" rel=\"tag\">#<span>Ollama</span></a> <a href=\"https://k2pk.com/tags/LMStudio\" class=\"mention hashtag\" rel=\"tag\">#<span>LMStudio</span></a> <a href=\"https://k2pk.com/tags/GGUF\" class=\"mention hashtag\" rel=\"tag\">#<span>GGUF</span></a> <a href=\"https://k2pk.com/tags/MLX\" class=\"mention hashtag\" rel=\"tag\">#<span>MLX</span></a> <a href=\"https://k2pk.com/tags/TechReview\" class=\"mention hashtag\" rel=\"tag\">#<span>TechReview</span></a> <a href=\"https://k2pk.com/tags/Benchmarking\" class=\"mention hashtag\" rel=\"tag\">#<span>Benchmarking</span></a> <a href=\"https://k2pk.com/tags/MacStudio\" class=\"mention hashtag\" rel=\"tag\">#<span>MacStudio</span></a> <a href=\"https://k2pk.com/tags/M3Ultra\" class=\"mention hashtag\" rel=\"tag\">#<span>M3Ultra</span></a> <a href=\"https://k2pk.com/tags/LocalLLM\" class=\"mention hashtag\" rel=\"tag\">#<span>LocalLLM</span></a> <a href=\"https://k2pk.com/tags/AIbenchmarks\" class=\"mention hashtag\" rel=\"tag\">#<span>AIbenchmarks</span></a> <a href=\"https://k2pk.com/tags/EnergyEfficient\" class=\"mention hashtag\" rel=\"tag\">#<span>EnergyEfficient</span></a> <a href=\"https://k2pk.com/tags/linux\" class=\"mention hashtag\" rel=\"tag\">#<span>linux</span></a></p>", "contentMap": { "en": "<p><a href=\"https://youtu.be/J4qwuCXyAcU\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"\">youtu.be/J4qwuCXyAcU</span><span class=\"invisible\"></span></a></p><p>In this video, Ollama vs. LM Studio (GGUF), showing that their performance is quite similar, with LM Studio’s tok/sec output used for consistent benchmarking.</p><p>What’s even more impressive? The Mac Studio M3 Ultra pulls under 200W during inference with the Q4 671B R1 model. That’s quite amazing for such performance!</p><p><a href=\"https://k2pk.com/tags/LLMs\" class=\"mention hashtag\" rel=\"tag\">#<span>LLMs</span></a> <a href=\"https://k2pk.com/tags/AI\" class=\"mention hashtag\" rel=\"tag\">#<span>AI</span></a> <a href=\"https://k2pk.com/tags/MachineLearning\" class=\"mention hashtag\" rel=\"tag\">#<span>MachineLearning</span></a> <a href=\"https://k2pk.com/tags/Ollama\" class=\"mention hashtag\" rel=\"tag\">#<span>Ollama</span></a> <a href=\"https://k2pk.com/tags/LMStudio\" class=\"mention hashtag\" rel=\"tag\">#<span>LMStudio</span></a> <a href=\"https://k2pk.com/tags/GGUF\" class=\"mention hashtag\" rel=\"tag\">#<span>GGUF</span></a> <a href=\"https://k2pk.com/tags/MLX\" class=\"mention hashtag\" rel=\"tag\">#<span>MLX</span></a> <a href=\"https://k2pk.com/tags/TechReview\" class=\"mention hashtag\" rel=\"tag\">#<span>TechReview</span></a> <a href=\"https://k2pk.com/tags/Benchmarking\" class=\"mention hashtag\" rel=\"tag\">#<span>Benchmarking</span></a> <a href=\"https://k2pk.com/tags/MacStudio\" class=\"mention hashtag\" rel=\"tag\">#<span>MacStudio</span></a> <a href=\"https://k2pk.com/tags/M3Ultra\" class=\"mention hashtag\" rel=\"tag\">#<span>M3Ultra</span></a> <a href=\"https://k2pk.com/tags/LocalLLM\" class=\"mention hashtag\" rel=\"tag\">#<span>LocalLLM</span></a> <a href=\"https://k2pk.com/tags/AIbenchmarks\" class=\"mention hashtag\" rel=\"tag\">#<span>AIbenchmarks</span></a> <a href=\"https://k2pk.com/tags/EnergyEfficient\" class=\"mention hashtag\" rel=\"tag\">#<span>EnergyEfficient</span></a> <a href=\"https://k2pk.com/tags/linux\" class=\"mention hashtag\" rel=\"tag\">#<span>linux</span></a></p>" }, "updated": "2025-03-12T04:27:47Z", "attachment": [], "tag": [ { "type": "Hashtag", "href": "https://k2pk.com/tags/llms", "name": "#llms" }, { "type": "Hashtag", "href": "https://k2pk.com/tags/ai", "name": "#ai" }, { "type": "Hashtag", "href": "https://k2pk.com/tags/machinelearning", "name": "#machinelearning" }, { "type": "Hashtag", "href": "https://k2pk.com/tags/ollama", "name": "#ollama" }, { "type": "Hashtag", "href": "https://k2pk.com/tags/lmstudio", "name": "#lmstudio" }, { "type": "Hashtag", "href": "https://k2pk.com/tags/gguf", "name": "#gguf" }, { "type": "Hashtag", "href": "https://k2pk.com/tags/mlx", "name": "#mlx" }, { "type": "Hashtag", "href": "https://k2pk.com/tags/techreview", "name": "#techreview" }, { "type": "Hashtag", "href": "https://k2pk.com/tags/benchmarking", "name": "#benchmarking" }, { "type": "Hashtag", "href": "https://k2pk.com/tags/macstudio", "name": "#macstudio" }, { "type": "Hashtag", "href": "https://k2pk.com/tags/m3ultra", "name": "#m3ultra" }, { "type": "Hashtag", "href": "https://k2pk.com/tags/localllm", "name": "#localllm" }, { "type": "Hashtag", "href": "https://k2pk.com/tags/aibenchmarks", "name": "#aibenchmarks" }, { "type": "Hashtag", "href": "https://k2pk.com/tags/energyefficient", "name": "#energyefficient" }, { "type": "Hashtag", "href": "https://k2pk.com/tags/linux", "name": "#linux" } ], "replies": { "id": "https://k2pk.com/users/b166ir/statuses/114147559597576670/replies", "type": "Collection", "first": { "type": "CollectionPage", "next": "https://k2pk.com/users/b166ir/statuses/114147559597576670/replies?only_other_accounts=true&page=true", "partOf": "https://k2pk.com/users/b166ir/statuses/114147559597576670/replies", "items": [] } }, "likes": { "id": "https://k2pk.com/users/b166ir/statuses/114147559597576670/likes", "type": "Collection", "totalItems": 0 }, "shares": { "id": "https://k2pk.com/users/b166ir/statuses/114147559597576670/shares", "type": "Collection", "totalItems": 4 } }