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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"votersCount": "toot:votersCount",
"blurhash": "toot:blurhash",
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"published": "2023-03-26T14:58:56Z",
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"content": "<p>Why <a href=\"https://nerdculture.de/tags/DeepNeuralNetworks\" class=\"mention hashtag\" rel=\"tag\">#<span>DeepNeuralNetworks</span></a> need <a href=\"https://nerdculture.de/tags/Logic\" class=\"mention hashtag\" rel=\"tag\">#<span>Logic</span></a>:</p><p>Nick Shea (<a href=\"https://nerdculture.de/tags/UCL\" class=\"mention hashtag\" rel=\"tag\">#<span>UCL</span></a>/#Oxford) suggests</p><p>(1) Generating novel stuff (e.g., <a href=\"https://nerdculture.de/tags/Dalle\" class=\"mention hashtag\" rel=\"tag\">#<span>Dalle</span></a>'s art, <a href=\"https://nerdculture.de/tags/GPT\" class=\"mention hashtag\" rel=\"tag\">#<span>GPT</span></a>'s writing) is cool, but slow and inconsistent.</p><p>(2) Just a handful of logical inferences can be used *across* loads of situations (e.g., <a href=\"https://nerdculture.de/tags/modusPonens\" class=\"mention hashtag\" rel=\"tag\">#<span>modusPonens</span></a> works the same way every time).</p><p>So (3) by <a href=\"https://nerdculture.de/tags/learning\" class=\"mention hashtag\" rel=\"tag\">#<span>learning</span></a> Logic, <a href=\"https://nerdculture.de/tags/DNNs\" class=\"mention hashtag\" rel=\"tag\">#<span>DNNs</span></a> would be able to recycle a few logical moves on a MASSIVE number of problems (rather than generate a novel solution from scratch for each one).</p><p><a href=\"https://nerdculture.de/tags/CompSci\" class=\"mention hashtag\" rel=\"tag\">#<span>CompSci</span></a> <a href=\"https://nerdculture.de/tags/AI\" class=\"mention hashtag\" rel=\"tag\">#<span>AI</span></a></p>",
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"en": "<p>Why <a href=\"https://nerdculture.de/tags/DeepNeuralNetworks\" class=\"mention hashtag\" rel=\"tag\">#<span>DeepNeuralNetworks</span></a> need <a href=\"https://nerdculture.de/tags/Logic\" class=\"mention hashtag\" rel=\"tag\">#<span>Logic</span></a>:</p><p>Nick Shea (<a href=\"https://nerdculture.de/tags/UCL\" class=\"mention hashtag\" rel=\"tag\">#<span>UCL</span></a>/#Oxford) suggests</p><p>(1) Generating novel stuff (e.g., <a href=\"https://nerdculture.de/tags/Dalle\" class=\"mention hashtag\" rel=\"tag\">#<span>Dalle</span></a>'s art, <a href=\"https://nerdculture.de/tags/GPT\" class=\"mention hashtag\" rel=\"tag\">#<span>GPT</span></a>'s writing) is cool, but slow and inconsistent.</p><p>(2) Just a handful of logical inferences can be used *across* loads of situations (e.g., <a href=\"https://nerdculture.de/tags/modusPonens\" class=\"mention hashtag\" rel=\"tag\">#<span>modusPonens</span></a> works the same way every time).</p><p>So (3) by <a href=\"https://nerdculture.de/tags/learning\" class=\"mention hashtag\" rel=\"tag\">#<span>learning</span></a> Logic, <a href=\"https://nerdculture.de/tags/DNNs\" class=\"mention hashtag\" rel=\"tag\">#<span>DNNs</span></a> would be able to recycle a few logical moves on a MASSIVE number of problems (rather than generate a novel solution from scratch for each one).</p><p><a href=\"https://nerdculture.de/tags/CompSci\" class=\"mention hashtag\" rel=\"tag\">#<span>CompSci</span></a> <a href=\"https://nerdculture.de/tags/AI\" class=\"mention hashtag\" rel=\"tag\">#<span>AI</span></a></p>"
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"updated": "2023-03-26T14:59:30Z",
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"url": "https://nerdculture.de/system/media_attachments/files/110/090/133/417/814/572/original/25b27e13d78cf78f.png",
"name": "Two types of \"representational transition\" (e.g., a logical inference like modus ponens).\n\n1. Content-specific\n\n2. Non-content-specific",
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"name": "What non-content specific transitions are useful for:\nA. stuff way outside one's trained experience (e.g., learning)\nB. Inferences from already stored data/memories (e.g., quickly generating novel conclusions from what you already know or identifying inconsistencies between one's beliefs to achieve reflective equilibrium).",
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