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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{
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"sensitive": "as:sensitive",
"toot": "http://joinmastodon.org/ns#",
"votersCount": "toot:votersCount",
"Hashtag": "as:Hashtag"
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"published": "2023-12-11T11:20:37Z",
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"published": "2023-12-11T11:20:37Z",
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"content": "<p>How predictable is neuroscience? Can LLMs outperform humans? Please participate in the BrainGPT.org survey to help us find out. You choose between two versions of a neuro abstract: the original vs. one with altered results. Which is which? There are 11 questions, which should take 15-20 minutes. At the end, you get to see how you did, and will have the option of being publicly acknowledged and entering a raffle for a BrainGPT. Please help out and shape the future! <a href=\"https://research.sc/participant/login/dynamic/500D25DB-AF2B-44A0-9505-5A0291E187DD\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">research.sc/participant/login/</span><span class=\"invisible\">dynamic/500D25DB-AF2B-44A0-9505-5A0291E187DD</span></a></p>",
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"en": "<p>How predictable is neuroscience? Can LLMs outperform humans? Please participate in the BrainGPT.org survey to help us find out. You choose between two versions of a neuro abstract: the original vs. one with altered results. Which is which? There are 11 questions, which should take 15-20 minutes. At the end, you get to see how you did, and will have the option of being publicly acknowledged and entering a raffle for a BrainGPT. Please help out and shape the future! <a href=\"https://research.sc/participant/login/dynamic/500D25DB-AF2B-44A0-9505-5A0291E187DD\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">research.sc/participant/login/</span><span class=\"invisible\">dynamic/500D25DB-AF2B-44A0-9505-5A0291E187DD</span></a></p>"
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{
"id": "https://mastodon.sdf.org/users/ProfData/statuses/110621438386674468/activity",
"type": "Create",
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"published": "2023-06-28T10:46:34Z",
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"published": "2023-06-28T10:46:34Z",
"url": "https://mastodon.sdf.org/@ProfData/110621438386674468",
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"conversation": "tag:mastodon.sdf.org,2023-06-28:objectId=98436600:objectType=Conversation",
"content": "<p>Introducing <a href=\"https://BrainGPT.org\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"><span class=\"invisible\">https://</span><span class=\"\">BrainGPT.org</span><span class=\"invisible\"></span></a>, a large language model (LLM) to assist neuroscience research. BrainGPT is trained on the vast neuroscience literature and can be used to optimize study design, detect anomalous results, and evaluate models against broad data patterns. </p><p>If you are interested in learning more about <a href=\"https://BrainGPT.org\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"><span class=\"invisible\">https://</span><span class=\"\">BrainGPT.org</span><span class=\"invisible\"></span></a> or using a beta version, please visit our website and click on "Sign-up". It's a work in progress and will be fully open source.</p>",
"contentMap": {
"en": "<p>Introducing <a href=\"https://BrainGPT.org\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"><span class=\"invisible\">https://</span><span class=\"\">BrainGPT.org</span><span class=\"invisible\"></span></a>, a large language model (LLM) to assist neuroscience research. BrainGPT is trained on the vast neuroscience literature and can be used to optimize study design, detect anomalous results, and evaluate models against broad data patterns. </p><p>If you are interested in learning more about <a href=\"https://BrainGPT.org\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"><span class=\"invisible\">https://</span><span class=\"\">BrainGPT.org</span><span class=\"invisible\"></span></a> or using a beta version, please visit our website and click on "Sign-up". It's a work in progress and will be fully open source.</p>"
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"id": "https://mastodon.sdf.org/users/ProfData/statuses/110621438386674468/replies",
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{
"id": "https://mastodon.sdf.org/users/ProfData/statuses/110134249042169129/activity",
"type": "Create",
"actor": "https://mastodon.sdf.org/users/ProfData",
"published": "2023-04-03T09:47:54Z",
"to": [
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"published": "2023-04-03T09:47:54Z",
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"conversation": "tag:mastodon.sdf.org,2023-04-03:objectId=81268493:objectType=Conversation",
"content": "<p>"You can’t play 20 questions with nature and win redux" Our response to @jeffrey_bowers<br /> et al BBS article critiquing deep learning for psych/neuro. We argue the first step to a viable model is doing the basic task. Not clear lab studies are key. w <span class=\"h-card\"><a href=\"https://mastodon.world/@Rob_Mok\" class=\"u-url mention\">@<span>Rob_Mok</span></a></span> <a href=\"https://psyarxiv.com/xaemv/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"><span class=\"invisible\">https://</span><span class=\"\">psyarxiv.com/xaemv/</span><span class=\"invisible\"></span></a></p>",
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"en": "<p>"You can’t play 20 questions with nature and win redux" Our response to @jeffrey_bowers<br /> et al BBS article critiquing deep learning for psych/neuro. We argue the first step to a viable model is doing the basic task. Not clear lab studies are key. w <span class=\"h-card\"><a href=\"https://mastodon.world/@Rob_Mok\" class=\"u-url mention\">@<span>Rob_Mok</span></a></span> <a href=\"https://psyarxiv.com/xaemv/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"><span class=\"invisible\">https://</span><span class=\"\">psyarxiv.com/xaemv/</span><span class=\"invisible\"></span></a></p>"
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{
"id": "https://mastodon.sdf.org/users/ProfData/statuses/109507415346864424/activity",
"type": "Create",
"actor": "https://mastodon.sdf.org/users/ProfData",
"published": "2022-12-13T16:55:51Z",
"to": [
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"conversation": "tag:mastodon.sdf.org,2022-12-13:objectId=59787762:objectType=Conversation",
"content": "<p>This "Knowing Neurons" podcast, hosted by UCLA PhD student Ebrahim Feghhi, that I was on ended up being fun and illuminating, at least for me :-) The topic was "Computastional modeling and skill-building." One point we stumbled upon was how machine learning models can be useful for understanding the brain even when they are pretty bad models of how the brain actually works. <a href=\"https://knowingneurons.com/podcast-2/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"><span class=\"invisible\">https://</span><span class=\"\">knowingneurons.com/podcast-2/</span><span class=\"invisible\"></span></a></p>",
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"en": "<p>This "Knowing Neurons" podcast, hosted by UCLA PhD student Ebrahim Feghhi, that I was on ended up being fun and illuminating, at least for me :-) The topic was "Computastional modeling and skill-building." One point we stumbled upon was how machine learning models can be useful for understanding the brain even when they are pretty bad models of how the brain actually works. <a href=\"https://knowingneurons.com/podcast-2/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\"><span class=\"invisible\">https://</span><span class=\"\">knowingneurons.com/podcast-2/</span><span class=\"invisible\"></span></a></p>"
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"id": "https://mastodon.sdf.org/users/ProfData/statuses/109292038689152194/activity",
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"published": "2022-11-05T16:02:44Z",
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"published": "2022-11-05T16:02:44Z",
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"content": "<p><a href=\"https://mastodon.sdf.org/tags/introduction\" class=\"mention hashtag\" rel=\"tag\">#<span>introduction</span></a> </p><p>I am a professor of cognitive decision sciences at University College London. I build and evaluate models to understand how people learn and generalise. In the process, I hope the models become more human-like in terms of their behaviour and accounting for brain response. These days, I am mostly interested in theory and modelling, working in topics in computational neuroscience, cognitive science, etc. </p><p><a href=\"https://mastodon.sdf.org/tags/neuroscience\" class=\"mention hashtag\" rel=\"tag\">#<span>neuroscience</span></a><br /><a href=\"https://mastodon.sdf.org/tags/psychology\" class=\"mention hashtag\" rel=\"tag\">#<span>psychology</span></a><br /><a href=\"https://mastodon.sdf.org/tags/machine\" class=\"mention hashtag\" rel=\"tag\">#<span>machine</span></a> learning<br /><a href=\"https://mastodon.sdf.org/tags/ai\" class=\"mention hashtag\" rel=\"tag\">#<span>ai</span></a></p>",
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"en": "<p><a href=\"https://mastodon.sdf.org/tags/introduction\" class=\"mention hashtag\" rel=\"tag\">#<span>introduction</span></a> </p><p>I am a professor of cognitive decision sciences at University College London. I build and evaluate models to understand how people learn and generalise. In the process, I hope the models become more human-like in terms of their behaviour and accounting for brain response. These days, I am mostly interested in theory and modelling, working in topics in computational neuroscience, cognitive science, etc. </p><p><a href=\"https://mastodon.sdf.org/tags/neuroscience\" class=\"mention hashtag\" rel=\"tag\">#<span>neuroscience</span></a><br /><a href=\"https://mastodon.sdf.org/tags/psychology\" class=\"mention hashtag\" rel=\"tag\">#<span>psychology</span></a><br /><a href=\"https://mastodon.sdf.org/tags/machine\" class=\"mention hashtag\" rel=\"tag\">#<span>machine</span></a> learning<br /><a href=\"https://mastodon.sdf.org/tags/ai\" class=\"mention hashtag\" rel=\"tag\">#<span>ai</span></a></p>"
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