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",
"type": "OrderedCollectionPage",
"orderedItems": [
{
"type": "Like",
"actor": "https://www.minds.com/api/activitypub/users/1175826871514832897",
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"attributedTo": "https://www.minds.com/api/activitypub/users/100000000000091314",
"content": "Atmospheric swirl filmed here from a weather station in Croatia is visible from across Europe<br /><a href=\"https://www.minds.com/search?f=top&t=all&q=atmosphere\" title=\"#atmosphere\" class=\"u-url hashtag\" target=\"_blank\">#atmosphere</a> <a href=\"https://www.minds.com/newsfeed/1751227632839565312\" target=\"_blank\">https://www.minds.com/newsfeed/1751227632839565312</a>",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
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],
"tag": [],
"url": "https://www.minds.com/newsfeed/1751227632839565312",
"published": "2025-03-25T11:13:23+00:00",
"source": {
"content": "Atmospheric swirl filmed here from a weather station in Croatia is visible from across Europe\n#atmosphere https://www.minds.com/newsfeed/1751227632839565312",
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}
},
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},
{
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"id": "https://www.minds.com/api/activitypub/users/100000000000000519/entities/urn:activity:1749154055436898304",
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"content": "There may be nothing more dangerous than the idea that the government has a right to keep core human knowledge of history and the nature of reality secret.<br />",
"to": [
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],
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],
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"published": "2025-03-19T17:53:44+00:00",
"source": {
"content": "There may be nothing more dangerous than the idea that the government has a right to keep core human knowledge of history and the nature of reality secret.\n",
"mediaType": "text/plain"
}
},
"id": "https://www.minds.com/api/activitypub/users/1175826871514832897/https://www.minds.com/api/activitypub/users/100000000000000519/entities/urn:activity:1749154055436898304/like"
},
{
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"content": "PVC Pipes Manufacturers | Quality & Durable Solutions <br />Leading PVC pipes manufacturers providing high-quality, durable solutions for plumbing, irrigation, and industrial needs. Trusted for strength and reliability!<br /><a href=\"https://www.minds.com/search?f=top&t=all&q=cantabilbathassets\" title=\"#cantabilbathassets\" class=\"u-url hashtag\" target=\"_blank\">#cantabilbathassets</a> <a href=\"https://www.minds.com/search?f=top&t=all&q=PVCpipesinBawana\" title=\"#PVCpipesinBawana\" class=\"u-url hashtag\" target=\"_blank\">#PVCpipesinBawana</a> <a href=\"https://www.minds.com/search?f=top&t=all&q=PVCpipesfactoryinBawana\" title=\"#PVCpipesfactoryinBawana\" class=\"u-url hashtag\" target=\"_blank\">#PVCpipesfactoryinBawana</a> <a href=\"https://www.minds.com/search?f=top&t=all&q=PVCpipesmanufacturers\" title=\"#PVCpipesmanufacturers\" class=\"u-url hashtag\" target=\"_blank\">#PVCpipesmanufacturers</a> <a href=\"https://www.minds.com/search?f=top&t=all&q=PVCpipesmanufacturersinDelhi\" title=\"#PVCpipesmanufacturersinDelhi\" class=\"u-url hashtag\" target=\"_blank\">#PVCpipesmanufacturersinDelhi</a><br /><a href=\"https://cantabilbathassets.com/\" target=\"_blank\">https://cantabilbathassets.com/</a><br />",
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"published": "2025-03-15T09:49:48+00:00",
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],
"source": {
"content": "PVC Pipes Manufacturers | Quality & Durable Solutions \nLeading PVC pipes manufacturers providing high-quality, durable solutions for plumbing, irrigation, and industrial needs. Trusted for strength and reliability!\n#cantabilbathassets #PVCpipesinBawana #PVCpipesfactoryinBawana #PVCpipesmanufacturers #PVCpipesmanufacturersinDelhi\nhttps://cantabilbathassets.com/\n",
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},
"id": "https://www.minds.com/api/activitypub/users/1175826871514832897/https://www.minds.com/api/activitypub/users/1743303319394197504/entities/urn:activity:1747582716590694400/like"
},
{
"type": "Like",
"actor": "https://www.minds.com/api/activitypub/users/1175826871514832897",
"object": {
"type": "Note",
"id": "https://www.minds.com/api/activitypub/users/693569408378871817/entities/urn:activity:1746259600820953088",
"attributedTo": "https://www.minds.com/api/activitypub/users/693569408378871817",
"content": "Maybe the admins will pin this to the top of the group page. ",
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],
"cc": [
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],
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"url": "https://www.minds.com/newsfeed/1746259600820953088",
"published": "2025-03-11T18:12:12+00:00",
"inReplyTo": "https://www.minds.com/api/activitypub/users/100000000000054763/entities/urn:activity:1746254788569337856",
"source": {
"content": "Maybe the admins will pin this to the top of the group page. ",
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}
},
"id": "https://www.minds.com/api/activitypub/users/1175826871514832897/https://www.minds.com/api/activitypub/users/693569408378871817/entities/urn:activity:1746259600820953088/like"
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{
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"attributedTo": "https://www.minds.com/api/activitypub/users/100000000000091314",
"content": "The video they didn't want us to see<br /><a href=\"https://www.minds.com/search?f=top&t=all&q=apollo\" title=\"#apollo\" class=\"u-url hashtag\" target=\"_blank\">#apollo</a> <a href=\"https://www.minds.com/search?f=top&t=all&q=nasa\" title=\"#nasa\" class=\"u-url hashtag\" target=\"_blank\">#nasa</a> <a href=\"https://www.minds.com/newsfeed/1735069187686014976\" target=\"_blank\">https://www.minds.com/newsfeed/1735069187686014976</a>",
"to": [
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],
"cc": [
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],
"tag": [],
"url": "https://www.minds.com/newsfeed/1735069187686014976",
"published": "2025-02-08T21:05:30+00:00",
"source": {
"content": "The video they didn't want us to see\n#apollo #nasa https://www.minds.com/newsfeed/1735069187686014976",
"mediaType": "text/plain"
}
},
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},
{
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"content": "<a href=\"https://www.minds.com/newsfeed/1731725114498375680\" target=\"_blank\">https://www.minds.com/newsfeed/1731725114498375680</a>",
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"url": "https://www.minds.com/newsfeed/1731725114498375680",
"published": "2025-01-30T15:37:21+00:00",
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}
},
"id": "https://www.minds.com/api/activitypub/users/1175826871514832897/https://www.minds.com/api/activitypub/users/1196101137405583367/entities/urn:activity:1731725114498375680/like"
},
{
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"actor": "https://www.minds.com/api/activitypub/users/1175826871514832897",
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"id": "https://www.minds.com/api/activitypub/users/100000000000000341/entities/urn:activity:1731890431341371392",
"attributedTo": "https://www.minds.com/api/activitypub/users/100000000000000341",
"content": "Chris Bledsoe's content is absolutely insane. <br /><br />The guy has hundreds of videos of orbs like this that he films everyday. I know people who have seen these things with him. His story is wild. <br /><br />What do you make of him? <a href=\"https://www.minds.com/newsfeed/1731890431341371392\" target=\"_blank\">https://www.minds.com/newsfeed/1731890431341371392</a>",
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"url": "https://www.minds.com/newsfeed/1731890431341371392",
"published": "2025-01-31T02:34:15+00:00",
"source": {
"content": "Chris Bledsoe's content is absolutely insane. \n\nThe guy has hundreds of videos of orbs like this that he films everyday. I know people who have seen these things with him. His story is wild. \n\nWhat do you make of him? https://www.minds.com/newsfeed/1731890431341371392",
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}
},
"id": "https://www.minds.com/api/activitypub/users/1175826871514832897/https://www.minds.com/api/activitypub/users/100000000000000341/entities/urn:activity:1731890431341371392/like"
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{
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"attributedTo": "https://www.minds.com/api/activitypub/users/100000000000091314",
"content": "Mimas is one of Saturn’s moons<br /><a href=\"https://www.minds.com/search?f=top&t=all&q=nasa\" title=\"#nasa\" class=\"u-url hashtag\" target=\"_blank\">#nasa</a>",
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"url": "https://www.minds.com/newsfeed/1731334492385992704",
"published": "2025-01-29T13:45:09+00:00",
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"source": {
"content": "Mimas is one of Saturn’s moons\n#nasa",
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}
},
"id": "https://www.minds.com/api/activitypub/users/1175826871514832897/https://www.minds.com/api/activitypub/users/100000000000091314/entities/urn:activity:1731334492385992704/like"
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"content": "<a href=\"https://www.minds.com/search?f=top&t=all&q=BedtimeQuotes\" title=\"#BedtimeQuotes\" class=\"u-url hashtag\" target=\"_blank\">#BedtimeQuotes</a><br />",
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"published": "2025-01-07T02:51:30+00:00",
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"content": "#BedtimeQuotes\n",
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{
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"content": "Continuing work on the laser cutter enclosure today. Since the whole project is freehand it took a lot of 'hand-tinkering' playing with panels and hinges to find a combination I liked.<br /><br />The advantage is you get to a fairly optimized build first-try, the downside is there's small error creep that is unavoidable, so the unit has a little bit of racking and loose joints in a couple spots.<br /><br />Not sure if I'm going to close the front, or if the airflow front-to-back will actually be a good thing to evacuate the smoke-filled air.<br /><br />Also a future experiment will be to see if a carbon/electrostatic filter is adequate for filtering, or if I need to pipe the output directly to outside",
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"published": "2025-01-04T01:24:45+00:00",
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"width": 1024
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"source": {
"content": "Continuing work on the laser cutter enclosure today. Since the whole project is freehand it took a lot of 'hand-tinkering' playing with panels and hinges to find a combination I liked.\n\nThe advantage is you get to a fairly optimized build first-try, the downside is there's small error creep that is unavoidable, so the unit has a little bit of racking and loose joints in a couple spots.\n\nNot sure if I'm going to close the front, or if the airflow front-to-back will actually be a good thing to evacuate the smoke-filled air.\n\nAlso a future experiment will be to see if a carbon/electrostatic filter is adequate for filtering, or if I need to pipe the output directly to outside",
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"content": "<p>Someone made a CAPTCHA where you play Doom on Nightmare difficulty<br />Surprisingly (or unsurprisingly?) this is not the first Doom CAPTCHA.<br /><a href=\"https://arstechnica.com/gaming/2025/01/someone-made-a-captcha-where-you-play-doom-on-nightmare-difficulty/?utm_brand=arstechnica&utm_social-type=owned&utm_source=mastodon&utm_medium=social\" target=\"_blank\" rel=\"nofollow noopener\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">arstechnica.com/gaming/2025/01</span><span class=\"invisible\">/someone-made-a-captcha-where-you-play-doom-on-nightmare-difficulty/?utm_brand=arstechnica&utm_social-type=owned&utm_source=mastodon&utm_medium=social</span></a></p>",
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"content": "Nvidia founder and CEO Jensen Huang explains to Marc Benioff that technology has now reached a positive feedback loop where AI is designing new AI and is now advancing at the pace of \"Moore's Law squared\", meaning that the progress we will see in the next year or two will be \"spectacular and surprising\"<br /><a class=\"u-url mention\" href=\"https://www.minds.com/tsarnick\" target=\"_blank\">@tsarnick</a> <a href=\"https://www.minds.com/newsfeed/1683110933951418382\" target=\"_blank\">https://www.minds.com/newsfeed/1683110933951418382</a>",
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"content": "Blood Cell Classification Using Deep Learning: A Breakthrough in Medical Diagnostics - AI Project<br />In the ever-evolving field of medical diagnostics, accurate and timely identification of blood cell types is crucial for diagnosing various conditions. Traditionally, this has been a manual process, prone to human error and time-consuming. However, with advancements in artificial intelligence, particularly deep learning, we now have the tools to automate this process with remarkable accuracy.<br /><br />Project Overview<br /><br />In this project, we developed a robust deep learning model designed to classify blood cells into distinct categories automatically. Utilizing a comprehensive dataset of blood cell images, we leveraged convolutional neural networks (CNNs) along with advanced models like EfficientNetB4 and VGG16 to achieve high accuracy in classification.<br /><br />The primary objective of this project was to assist medical professionals by reducing the time and effort required for manual classification while significantly increasing diagnostic accuracy. By automating the blood cell classification process, this project demonstrates the potential of AI in enhancing medical diagnostics, making the process more efficient and reliable.<br /><br />Methodology<br /><br />The approach involved several key steps:<br /><br />Data Collection and Preparation: We gathered a dataset of 1800 blood cell images, which was augmented to 3000 images. The dataset was then split into training and validation sets.<br />Model Development: We constructed a CNN model, followed by implementing more sophisticated models like EfficientNetB4 and VGG16 to improve classification accuracy.<br />Training and Evaluation: Each model was trained on the prepared dataset, with performance evaluated using accuracy metrics, confusion matrices, and classification reports.<br />Results and Impact<br />Our models achieved impressive accuracy, with EfficientNetB4 reaching up to 99.83%. The success of this project underscores the transformative potential of AI in medical diagnostics, providing a scalable solution that can significantly improve the accuracy and efficiency of blood cell classification.<br /><br />This project not only highlights the capabilities of deep learning in medical image analysis but also opens the door to broader applications in healthcare, potentially leading to better patient outcomes and more advanced medical research.<br /><br />Learn More and Access the Full Project<br />Interested in diving deeper into the details of this project? Visit our website to explore:<br /><br />Complete Project Code<br /><br />Step-by-Step Implementation Guide<br />Downloadable Resources<br />Further Reading on AI in Healthcare<br /><br />By visiting our website, you can access the full project, including detailed explanations, the complete codebase, and additional resources to help you understand and implement similar AI-based solutions in your own work.<br /><br />Conclusion<br /><br />The automated blood cell classification system we developed is a testament to the power of AI in transforming medical diagnostics. This project not only offers a practical solution for current medical challenges but also demonstrates the broader implications of AI in healthcare. By reducing manual workload and increasing diagnostic precision, AI is paving the way for more efficient, reliable, and accessible medical care.<br /><br />For more info: <a href=\"https://www.aionlinecourse.com/ai-projects/playground/blood-cell-classification-using-deep-learning\" target=\"_blank\">https://www.aionlinecourse.com/ai-projects/playground/blood-cell-classification-using-deep-learning</a><br /><br />",
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"content": "Blood Cell Classification Using Deep Learning: A Breakthrough in Medical Diagnostics - AI Project\nIn the ever-evolving field of medical diagnostics, accurate and timely identification of blood cell types is crucial for diagnosing various conditions. Traditionally, this has been a manual process, prone to human error and time-consuming. However, with advancements in artificial intelligence, particularly deep learning, we now have the tools to automate this process with remarkable accuracy.\n\nProject Overview\n\nIn this project, we developed a robust deep learning model designed to classify blood cells into distinct categories automatically. Utilizing a comprehensive dataset of blood cell images, we leveraged convolutional neural networks (CNNs) along with advanced models like EfficientNetB4 and VGG16 to achieve high accuracy in classification.\n\nThe primary objective of this project was to assist medical professionals by reducing the time and effort required for manual classification while significantly increasing diagnostic accuracy. By automating the blood cell classification process, this project demonstrates the potential of AI in enhancing medical diagnostics, making the process more efficient and reliable.\n\nMethodology\n\nThe approach involved several key steps:\n\nData Collection and Preparation: We gathered a dataset of 1800 blood cell images, which was augmented to 3000 images. The dataset was then split into training and validation sets.\nModel Development: We constructed a CNN model, followed by implementing more sophisticated models like EfficientNetB4 and VGG16 to improve classification accuracy.\nTraining and Evaluation: Each model was trained on the prepared dataset, with performance evaluated using accuracy metrics, confusion matrices, and classification reports.\nResults and Impact\nOur models achieved impressive accuracy, with EfficientNetB4 reaching up to 99.83%. The success of this project underscores the transformative potential of AI in medical diagnostics, providing a scalable solution that can significantly improve the accuracy and efficiency of blood cell classification.\n\nThis project not only highlights the capabilities of deep learning in medical image analysis but also opens the door to broader applications in healthcare, potentially leading to better patient outcomes and more advanced medical research.\n\nLearn More and Access the Full Project\nInterested in diving deeper into the details of this project? Visit our website to explore:\n\nComplete Project Code\n\nStep-by-Step Implementation Guide\nDownloadable Resources\nFurther Reading on AI in Healthcare\n\nBy visiting our website, you can access the full project, including detailed explanations, the complete codebase, and additional resources to help you understand and implement similar AI-based solutions in your own work.\n\nConclusion\n\nThe automated blood cell classification system we developed is a testament to the power of AI in transforming medical diagnostics. This project not only offers a practical solution for current medical challenges but also demonstrates the broader implications of AI in healthcare. By reducing manual workload and increasing diagnostic precision, AI is paving the way for more efficient, reliable, and accessible medical care.\n\nFor more info: https://www.aionlinecourse.com/ai-projects/playground/blood-cell-classification-using-deep-learning\n\n",
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"content": "Bill Ottman<br /><br />Advanced math, physics and technology are being kept classified under the guise of safety. <br /><br />We are zoo animals to these people.<br /><br />They can't stop the leaks and are in panic mode.<br />The Biden Administration wants to classify math and physics.<br /><br />VCs Marc Andreessen and Ben Horowitz discuss meeting with White House officials to discuss AI safety, and the WH Officials said they could classify any area of math that they think is leading in a bad direction to make it a state secret and \"it will end,,<br /><br />They said that they did this in the nuclear era, turning disruptive math/physics into state secrets, and that they can do this again with AI.<br /><br /><a class=\"u-url mention\" href=\"https://www.minds.com/ottman\" target=\"_blank\">@ottman</a> <a href=\"https://www.minds.com/newsfeed/1661069134248546309\" target=\"_blank\">https://www.minds.com/newsfeed/1661069134248546309</a>",
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"content": "Help Us Testing<br />And enjoy rewards!<br /><br /><a href=\"https://autonomi.com/beta\" target=\"_blank\">https://autonomi.com/beta</a> <a href=\"https://www.minds.com/newsfeed/1658744028591558660\" target=\"_blank\">https://www.minds.com/newsfeed/1658744028591558660</a>",
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"content": "Glad to have contributed to this.<br /><a href=\"https://decrypt.co/237201/crypto-saved-julian-assange-his-brother-says\" target=\"_blank\">https://decrypt.co/237201/crypto-saved-julian-assange-his-brother-says</a>",
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