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": "Create",
"actor": "https://www.minds.com/api/activitypub/users/1340519133858500610",
"object": {
"type": "Note",
"id": "https://www.minds.com/api/activitypub/users/1340519133858500610/entities/urn:activity:1754354317077012480",
"attributedTo": "https://www.minds.com/api/activitypub/users/1340519133858500610",
"content": "It's Free Again <br />Download: <a href=\"https://a.co/d/aBCyhit\" target=\"_blank\">https://a.co/d/aBCyhit</a><br /><br /><a href=\"https://www.minds.com/search?f=top&t=all&q=freebook\" title=\"#freebook\" class=\"u-url hashtag\" target=\"_blank\">#freebook</a> <a href=\"https://www.minds.com/search?f=top&t=all&q=Christianity\" title=\"#Christianity\" class=\"u-url hashtag\" target=\"_blank\">#Christianity</a> <a href=\"https://www.minds.com/search?f=top&t=all&q=selfhelp\" title=\"#selfhelp\" class=\"u-url hashtag\" target=\"_blank\">#selfhelp</a> <a href=\"https://www.minds.com/search?f=top&t=all&q=neuroscience\" title=\"#neuroscience\" class=\"u-url hashtag\" target=\"_blank\">#neuroscience</a> <a href=\"https://www.minds.com/search?f=top&t=all&q=psychology\" title=\"#psychology\" class=\"u-url hashtag\" target=\"_blank\">#psychology</a> <a href=\"https://www.minds.com/newsfeed/1754354317077012480\" target=\"_blank\">https://www.minds.com/newsfeed/1754354317077012480</a>",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://www.minds.com/api/activitypub/users/1340519133858500610/followers"
],
"tag": [],
"url": "https://www.minds.com/newsfeed/1754354317077012480",
"published": "2025-04-03T07:27:00+00:00",
"source": {
"content": "It's Free Again \nDownload: https://a.co/d/aBCyhit\n\n#freebook #Christianity #selfhelp #neuroscience #psychology https://www.minds.com/newsfeed/1754354317077012480",
"mediaType": "text/plain"
}
},
"id": "https://www.minds.com/api/activitypub/users/1340519133858500610/entities/urn:activity:1754354317077012480/activity"
},
{
"type": "Create",
"actor": "https://www.minds.com/api/activitypub/users/1340519133858500610",
"object": {
"type": "Note",
"id": "https://www.minds.com/api/activitypub/users/1340519133858500610/entities/urn:activity:1754290701983551488",
"attributedTo": "https://www.minds.com/api/activitypub/users/1340519133858500610",
"content": "Prolly need to have AI manage my feed. CV, and click! Click! Literally screen read, like a human, but Automated since I don't know about an API, at least one that I can see that will do that.<br /><br />I admit, I haven't looked that well. Busy as... all get out (other jobs, not humans like Rob). ",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://www.minds.com/api/activitypub/users/1340519133858500610/followers",
"https://www.minds.com/api/activitypub/users/1340519133858500610"
],
"tag": [],
"url": "https://www.minds.com/newsfeed/1754290701983551488",
"published": "2025-04-02T22:04:56+00:00",
"inReplyTo": "https://www.minds.com/api/activitypub/users/1340519133858500610/entities/urn:activity:1754289518862671872",
"source": {
"content": "Prolly need to have AI manage my feed. CV, and click! Click! Literally screen read, like a human, but Automated since I don't know about an API, at least one that I can see that will do that.\n\nI admit, I haven't looked that well. Busy as... all get out (other jobs, not humans like Rob). ",
"mediaType": "text/plain"
}
},
"id": "https://www.minds.com/api/activitypub/users/1340519133858500610/entities/urn:activity:1754290701983551488/activity"
},
{
"type": "Create",
"actor": "https://www.minds.com/api/activitypub/users/1340519133858500610",
"object": {
"type": "Note",
"id": "https://www.minds.com/api/activitypub/users/1340519133858500610/entities/urn:activity:1754289518862671872",
"attributedTo": "https://www.minds.com/api/activitypub/users/1340519133858500610",
"content": "I don't know why, but I don't get notifications on comments most of the time. So, if I ignored you, I am not. I invest into people, especially those who challenge me a lot. ",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://www.minds.com/api/activitypub/users/1340519133858500610/followers"
],
"tag": [],
"url": "https://www.minds.com/newsfeed/1754289518862671872",
"published": "2025-04-02T22:00:14+00:00",
"source": {
"content": "I don't know why, but I don't get notifications on comments most of the time. So, if I ignored you, I am not. I invest into people, especially those who challenge me a lot. ",
"mediaType": "text/plain"
}
},
"id": "https://www.minds.com/api/activitypub/users/1340519133858500610/entities/urn:activity:1754289518862671872/activity"
},
{
"type": "Create",
"actor": "https://www.minds.com/api/activitypub/users/1340519133858500610",
"object": {
"type": "Note",
"id": "https://www.minds.com/api/activitypub/users/1340519133858500610/entities/urn:activity:1754240397909712896",
"attributedTo": "https://www.minds.com/api/activitypub/users/1340519133858500610",
"content": "One of the JSON outputs from this program so far. So you can get an idea of what it is about before you walk out the door. It does a good job after specification are put in.. so far. We are going to get much better, and then I will give a demonstration. It builds the complete thing. GUI for you to look at, database, and everything.<br /><br />{<br /> \"ProjectName\": \"Enterprise Project Management Platform\",<br /> \"Description\": \"A comprehensive platform integrating user authentication, data processing, an intuitive GUI for project management, using cost-efficient, open-source enterprise solutions.\",<br /> \"Architecture\": \"Containerized Microservices\",<br /> \"License\": \"MIT\",<br /> \"MainComponents\": {<br /> \"UserAuthentication\": {<br /> \"Description\": \"Handle user authentication and session management\",<br /> \"Dependencies\": [],<br /> \"Language\": \"Python\",<br /> \"Framework\": \"Django\",<br /> \"AuthenticationLibrary\": \"Django OAuth Toolkit\",<br /> \"Containerization\": \"Docker\",<br /> \"DockerFileLocation\": \"/services/userAuthentication/Dockerfile\",<br /> \"DockerBaseImage\": \"python:3.8-slim-buster\",<br /> \"Orchestration\": \"Kubernetes\",<br /> \"K8sDeploymentFileLocation\": \"/services/userAuthentication/deployment.yaml\",<br /> \"Location\": \"/services/userAuthentication\"<br /> },<br /> \"DataProcessing\": {<br /> \"Description\": \"Process, store, and fetch data\",<br /> \"Dependencies\": [<br /> \"UserAuthentication\"<br /> ],<br /> \"Language\": \"Python\",<br /> \"Framework\": \"Django\",<br /> \"DataProcessingLibrary\": \"Pandas\",<br /> \"ORM\": \"Django ORM\",<br /> \"Containerization\": \"Docker\",<br /> \"DockerFileLocation\": \"/services/dataProcessing/Dockerfile\",<br /> \"DockerBaseImage\": \"python:3.8-slim-buster\",<br /> \"Orchestration\": \"Kubernetes\",<br /> \"K8sDeploymentFileLocation\": \"/services/dataProcessing/deployment.yaml\",<br /> \"DBIntegration\": \"PostgreSQL\",<br /> \"Location\": \"/services/dataProcessing\"<br /> },<br /> \"GUI\": {<br /> \"Description\": \"Web-based user interface\",<br /> \"Dependencies\": [<br /> \"UserAuthentication\",<br /> \"DataProcessing\"<br /> ],<br /> \"Language\": \"JavaScript\",<br /> \"Framework\": \"Vue.js\",<br /> \"UIComponentLibrary\": \"Vuetify\",<br /> \"StateManagement\": \"Vuex\",<br /> \"FormHandling\": \"VeeValidate\",<br /> \"Containerization\": \"Docker\",<br /> \"DockerFileLocation\": \"/services/gui/Dockerfile\",<br /> \"DockerBaseImage\": \"node:14-alpine\",<br /> \"Orchestration\": \"Kubernetes\",<br /> \"K8sDeploymentFileLocation\": \"/services/gui/deployment.yaml\",<br /> \"Location\": \"/services/gui\"<br /> }<br /> },<br /> \"Dependencies\": {<br /> \"Python\": {<br /> \"Version\": \"3.8\",<br /> \"Modules\": [<br /> \"Django\",<br /> \"Pandas\",<br /> \"Django OAuth Toolkit\"<br /> ]<br /> },<br /> \"JavaScript\": {<br /> \"Version\": \"ES6\",<br /> \"Modules\": [<br /> \"Vue.js\",<br /> \"Vuetify\",<br /> \"VeeValidate\",<br /> \"Vuex\"<br /> ]<br /> }<br /> },<br /> \"DataStorage\": {<br /> \"Provider\": \"AWS\",<br /> \"Type\": \"RDS\",<br /> \"DBType\": \"PostgreSQL\",<br /> \"LocalCaching\": \"ElastiCache\",<br /> \"DataProcessingStorage\": \"S3\",<br /> \"BackupStrategy\": \"Automated backups with point-in-time recovery\"<br /> },<br /> \"Hosting\": {<br /> \"Provider\": \"AWS\",<br /> \"Type\": \"EKS\",<br /> \"ServiceMesh\": \"Istio\",<br /> \"CI/CD\": \"Jenkins\",<br /> \"Observability\": {<br /> \"Monitoring\": \"CloudWatch\",<br /> \"Tracing\": \"X-Ray\",<br /> \"Logging\": \"CloudWatch Logs\"<br /> }<br /> },<br /> \"Security\": {<br /> \"Compliance\": \"ISO 27001\",<br /> \"Encryption\": \"AWS KMS\",<br /> \"UserAuthentication\": \"OAuth 2.0 with JWT\",<br /> \"Firewalls\": \"AWS WAF\",<br /> \"WAF\": \"AWS Shield\",<br /> \"NetworkPolicy\": \"Calico\"<br /> },<br /> \"Scaling\": {<br /> \"AutoScaling\": \"AWS Auto Scaling\",<br /> \"LoadBalancerType\": \"ALB\",<br /> \"LoadBalancer\": \"AWS ALB\",<br /> \"Replication\": \"Aurora Replicas\"<br /> }<br />}",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://www.minds.com/api/activitypub/users/1340519133858500610/followers",
"https://www.minds.com/api/activitypub/users/1340519133858500610"
],
"tag": [],
"url": "https://www.minds.com/newsfeed/1754240397909712896",
"published": "2025-04-02T18:45:03+00:00",
"inReplyTo": "https://www.minds.com/api/activitypub/users/1340519133858500610/entities/urn:activity:1754238315436974080",
"source": {
"content": "One of the JSON outputs from this program so far. So you can get an idea of what it is about before you walk out the door. It does a good job after specification are put in.. so far. We are going to get much better, and then I will give a demonstration. It builds the complete thing. GUI for you to look at, database, and everything.\n\n{\n \"ProjectName\": \"Enterprise Project Management Platform\",\n \"Description\": \"A comprehensive platform integrating user authentication, data processing, an intuitive GUI for project management, using cost-efficient, open-source enterprise solutions.\",\n \"Architecture\": \"Containerized Microservices\",\n \"License\": \"MIT\",\n \"MainComponents\": {\n \"UserAuthentication\": {\n \"Description\": \"Handle user authentication and session management\",\n \"Dependencies\": [],\n \"Language\": \"Python\",\n \"Framework\": \"Django\",\n \"AuthenticationLibrary\": \"Django OAuth Toolkit\",\n \"Containerization\": \"Docker\",\n \"DockerFileLocation\": \"/services/userAuthentication/Dockerfile\",\n \"DockerBaseImage\": \"python:3.8-slim-buster\",\n \"Orchestration\": \"Kubernetes\",\n \"K8sDeploymentFileLocation\": \"/services/userAuthentication/deployment.yaml\",\n \"Location\": \"/services/userAuthentication\"\n },\n \"DataProcessing\": {\n \"Description\": \"Process, store, and fetch data\",\n \"Dependencies\": [\n \"UserAuthentication\"\n ],\n \"Language\": \"Python\",\n \"Framework\": \"Django\",\n \"DataProcessingLibrary\": \"Pandas\",\n \"ORM\": \"Django ORM\",\n \"Containerization\": \"Docker\",\n \"DockerFileLocation\": \"/services/dataProcessing/Dockerfile\",\n \"DockerBaseImage\": \"python:3.8-slim-buster\",\n \"Orchestration\": \"Kubernetes\",\n \"K8sDeploymentFileLocation\": \"/services/dataProcessing/deployment.yaml\",\n \"DBIntegration\": \"PostgreSQL\",\n \"Location\": \"/services/dataProcessing\"\n },\n \"GUI\": {\n \"Description\": \"Web-based user interface\",\n \"Dependencies\": [\n \"UserAuthentication\",\n \"DataProcessing\"\n ],\n \"Language\": \"JavaScript\",\n \"Framework\": \"Vue.js\",\n \"UIComponentLibrary\": \"Vuetify\",\n \"StateManagement\": \"Vuex\",\n \"FormHandling\": \"VeeValidate\",\n \"Containerization\": \"Docker\",\n \"DockerFileLocation\": \"/services/gui/Dockerfile\",\n \"DockerBaseImage\": \"node:14-alpine\",\n \"Orchestration\": \"Kubernetes\",\n \"K8sDeploymentFileLocation\": \"/services/gui/deployment.yaml\",\n \"Location\": \"/services/gui\"\n }\n },\n \"Dependencies\": {\n \"Python\": {\n \"Version\": \"3.8\",\n \"Modules\": [\n \"Django\",\n \"Pandas\",\n \"Django OAuth Toolkit\"\n ]\n },\n \"JavaScript\": {\n \"Version\": \"ES6\",\n \"Modules\": [\n \"Vue.js\",\n \"Vuetify\",\n \"VeeValidate\",\n \"Vuex\"\n ]\n }\n },\n \"DataStorage\": {\n \"Provider\": \"AWS\",\n \"Type\": \"RDS\",\n \"DBType\": \"PostgreSQL\",\n \"LocalCaching\": \"ElastiCache\",\n \"DataProcessingStorage\": \"S3\",\n \"BackupStrategy\": \"Automated backups with point-in-time recovery\"\n },\n \"Hosting\": {\n \"Provider\": \"AWS\",\n \"Type\": \"EKS\",\n \"ServiceMesh\": \"Istio\",\n \"CI/CD\": \"Jenkins\",\n \"Observability\": {\n \"Monitoring\": \"CloudWatch\",\n \"Tracing\": \"X-Ray\",\n \"Logging\": \"CloudWatch Logs\"\n }\n },\n \"Security\": {\n \"Compliance\": \"ISO 27001\",\n \"Encryption\": \"AWS KMS\",\n \"UserAuthentication\": \"OAuth 2.0 with JWT\",\n \"Firewalls\": \"AWS WAF\",\n \"WAF\": \"AWS Shield\",\n \"NetworkPolicy\": \"Calico\"\n },\n \"Scaling\": {\n \"AutoScaling\": \"AWS Auto Scaling\",\n \"LoadBalancerType\": \"ALB\",\n \"LoadBalancer\": \"AWS ALB\",\n \"Replication\": \"Aurora Replicas\"\n }\n}",
"mediaType": "text/plain"
}
},
"id": "https://www.minds.com/api/activitypub/users/1340519133858500610/entities/urn:activity:1754240397909712896/activity"
},
{
"type": "Create",
"actor": "https://www.minds.com/api/activitypub/users/1340519133858500610",
"object": {
"type": "Note",
"id": "https://www.minds.com/api/activitypub/users/1340519133858500610/entities/urn:activity:1754239676383760384",
"attributedTo": "https://www.minds.com/api/activitypub/users/1340519133858500610",
"content": "Currently listening to my Velvet Grace Playlist, which once Suno is out, I'll release polished in the stores so others can see what anyone that agrees are about: <a href=\"https://app.musicdonna.com/2JeUeywN\" target=\"_blank\">https://app.musicdonna.com/2JeUeywN</a>",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://www.minds.com/api/activitypub/users/1340519133858500610/followers",
"https://www.minds.com/api/activitypub/users/1340519133858500610"
],
"tag": [],
"url": "https://www.minds.com/newsfeed/1754239676383760384",
"published": "2025-04-02T18:42:11+00:00",
"inReplyTo": "https://www.minds.com/api/activitypub/users/1340519133858500610/entities/urn:activity:1754238315436974080",
"source": {
"content": "Currently listening to my Velvet Grace Playlist, which once Suno is out, I'll release polished in the stores so others can see what anyone that agrees are about: https://app.musicdonna.com/2JeUeywN",
"mediaType": "text/plain"
}
},
"id": "https://www.minds.com/api/activitypub/users/1340519133858500610/entities/urn:activity:1754239676383760384/activity"
},
{
"type": "Create",
"actor": "https://www.minds.com/api/activitypub/users/1340519133858500610",
"object": {
"type": "Note",
"id": "https://www.minds.com/api/activitypub/users/1340519133858500610/entities/urn:activity:1754238315436974080",
"attributedTo": "https://www.minds.com/api/activitypub/users/1340519133858500610",
"content": "H4ck@TH0n<br /><a href=\"https://www.minds.com/search?f=top&t=all&q=coding\" title=\"#coding\" class=\"u-url hashtag\" target=\"_blank\">#coding</a> <a href=\"https://www.minds.com/search?f=top&t=all&q=ai\" title=\"#ai\" class=\"u-url hashtag\" target=\"_blank\">#ai</a> <a href=\"https://www.minds.com/newsfeed/1754238315436974080\" target=\"_blank\">https://www.minds.com/newsfeed/1754238315436974080</a>",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://www.minds.com/api/activitypub/users/1340519133858500610/followers"
],
"tag": [],
"url": "https://www.minds.com/newsfeed/1754238315436974080",
"published": "2025-04-02T18:36:46+00:00",
"source": {
"content": "H4ck@TH0n\n#coding #ai https://www.minds.com/newsfeed/1754238315436974080",
"mediaType": "text/plain"
}
},
"id": "https://www.minds.com/api/activitypub/users/1340519133858500610/entities/urn:activity:1754238315436974080/activity"
},
{
"type": "Create",
"actor": "https://www.minds.com/api/activitypub/users/1340519133858500610",
"object": {
"type": "Note",
"id": "https://www.minds.com/api/activitypub/users/1340519133858500610/entities/urn:activity:1754205894768091136",
"attributedTo": "https://www.minds.com/api/activitypub/users/1340519133858500610",
"content": "Give Yourself To Others<br />Imagine you had the power<br />To give yourself to others—<br />At least if you are standing near them.<br />To project your mind,<br />So intensely,<br />Like a warm, loving fire<br />Of radiant energy—<br />That they suddenly gained your skills<br />And knew about your thrills.<br />And in situations they face<br />Where you would handle it better<br />In their place—<br />They now do what you do,<br />And you can feel them do it too,<br />Because now you are one—<br />One body under the sun.<br />And if they get angry,<br />So do you,<br />But you have the power<br />To shut it down too,<br />As long as that is something you can do.<br /><br />Now let's put you in the place of a president—<br />United States, Ukraine, Russia, or an Israel resident.<br />You are there with them,<br />And wars are imminent.<br />What is your plan<br />To be the President?<br />What is the goal?<br />How are you to make peace?<br />Really, put yourself in their place.<br />If in stress, they pulled on anything<br />Within them that makes them healthy—<br />And even if you're not wealthy—<br />If you are there, you are going in,<br />And they psychically made you president.<br />What if it were you?<br />What is your plan?<br />Don't just dream it—<br />Think about it—<br />Begin,<br />Because if they had one<br />That kept our people safe—<br />There would be no protesting<br />In this place.<br />There would be no sadness<br />Over sons going to war,<br />And knowing the chances of them coming back<br />Are a puddle on the floor.<br />It is not that I agree with what they do,<br />But we need to consider reality too.<br />So, what if it were you?<br />Now, I don't expect you to be that<br />Put together—<br />But it is something we could all study rather.<br />Sociology, Neuro science, Psychology, Empathy—<br />Marketing, Evolution, Data Science, Game Theory—<br />Foreign language, Foreign Cultures, and Religions too.<br />Take it seriously.<br />What if it were you?<br /><br />What if it were you?<br />What is your plan?<br />Don't just dream it—<br />Think about it—<br />Begin,<br />Because if they had one<br />That kept our people safe—<br />There would be no protesting<br />In this place.<br />There would be no sadness<br />Over sons going to war,<br />And knowing the chances of them coming back<br />Are a puddle on the floor.<br /><br /><br /><a href=\"https://www.minds.com/search?f=top&t=all&q=christianity\" title=\"#christianity\" class=\"u-url hashtag\" target=\"_blank\">#christianity</a> <a href=\"https://www.minds.com/search?f=top&t=all&q=love\" title=\"#love\" class=\"u-url hashtag\" target=\"_blank\">#love</a> <a href=\"https://www.minds.com/search?f=top&t=all&q=nowar\" title=\"#nowar\" class=\"u-url hashtag\" target=\"_blank\">#nowar</a> <a href=\"https://www.minds.com/search?f=top&t=all&q=empathy\" title=\"#empathy\" class=\"u-url hashtag\" target=\"_blank\">#empathy</a> <a href=\"https://www.minds.com/search?f=top&t=all&q=STEM\" title=\"#STEM\" class=\"u-url hashtag\" target=\"_blank\">#STEM</a> <a href=\"https://www.minds.com/newsfeed/1754205894768091136\" target=\"_blank\">https://www.minds.com/newsfeed/1754205894768091136</a>",
"to": [
"https://www.w3.org/ns/activitystreams#Public"
],
"cc": [
"https://www.minds.com/api/activitypub/users/1340519133858500610/followers"
],
"tag": [],
"url": "https://www.minds.com/newsfeed/1754205894768091136",
"published": "2025-04-02T16:27:56+00:00",
"source": {
"content": "Give Yourself To Others\nImagine you had the power\nTo give yourself to others—\nAt least if you are standing near them.\nTo project your mind,\nSo intensely,\nLike a warm, loving fire\nOf radiant energy—\nThat they suddenly gained your skills\nAnd knew about your thrills.\nAnd in situations they face\nWhere you would handle it better\nIn their place—\nThey now do what you do,\nAnd you can feel them do it too,\nBecause now you are one—\nOne body under the sun.\nAnd if they get angry,\nSo do you,\nBut you have the power\nTo shut it down too,\nAs long as that is something you can do.\n\nNow let's put you in the place of a president—\nUnited States, Ukraine, Russia, or an Israel resident.\nYou are there with them,\nAnd wars are imminent.\nWhat is your plan\nTo be the President?\nWhat is the goal?\nHow are you to make peace?\nReally, put yourself in their place.\nIf in stress, they pulled on anything\nWithin them that makes them healthy—\nAnd even if you're not wealthy—\nIf you are there, you are going in,\nAnd they psychically made you president.\nWhat if it were you?\nWhat is your plan?\nDon't just dream it—\nThink about it—\nBegin,\nBecause if they had one\nThat kept our people safe—\nThere would be no protesting\nIn this place.\nThere would be no sadness\nOver sons going to war,\nAnd knowing the chances of them coming back\nAre a puddle on the floor.\nIt is not that I agree with what they do,\nBut we need to consider reality too.\nSo, what if it were you?\nNow, I don't expect you to be that\nPut together—\nBut it is something we could all study rather.\nSociology, Neuro science, Psychology, Empathy—\nMarketing, Evolution, Data Science, Game Theory—\nForeign language, Foreign Cultures, and Religions too.\nTake it seriously.\nWhat if it were you?\n\nWhat if it were you?\nWhat is your plan?\nDon't just dream it—\nThink about it—\nBegin,\nBecause if they had one\nThat kept our people safe—\nThere would be no protesting\nIn this place.\nThere would be no sadness\nOver sons going to war,\nAnd knowing the chances of them coming back\nAre a puddle on the floor.\n\n\n#christianity #love #nowar #empathy #STEM https://www.minds.com/newsfeed/1754205894768091136",
"mediaType": "text/plain"
}
},
"id": "https://www.minds.com/api/activitypub/users/1340519133858500610/entities/urn:activity:1754205894768091136/activity"
},
{
"type": "Create",
"actor": "https://www.minds.com/api/activitypub/users/1340519133858500610",
"object": {
"type": "Note",
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"content": "This is an experiment, I hope you hear it. I had ChatGPT generate this based on a pattern for intelligence. Can you read it and see if it makes you feel significantly more confident about data science?:<br /><br /><a href=\"https://www.minds.com/search?f=top&t=all&q=datascience\" title=\"#datascience\" class=\"u-url hashtag\" target=\"_blank\">#datascience</a> <a href=\"https://www.minds.com/search?f=top&t=all&q=machinelearning\" title=\"#machinelearning\" class=\"u-url hashtag\" target=\"_blank\">#machinelearning</a> <a href=\"https://www.minds.com/search?f=top&t=all&q=ai\" title=\"#ai\" class=\"u-url hashtag\" target=\"_blank\">#ai</a><br /><br />Imagine that data is like a giant box of puzzle pieces. Some pieces are neatly cut and easy to connect (structured data), while others are all different shapes and sizes (unstructured data) or a mix of both (semi-structured data). We keep these pieces in special storage rooms called data warehouses or data lakes, especially when there are so many pieces it’s called big data.<br /><br />Before we can build our puzzle, we need to clean and sort the pieces. Data cleaning and data wrangling are like washing and organizing your supplies, and data transformation, normalization, and standardization help make everything fit together nicely. Sometimes pieces are missing, so data imputation fills in the gaps.<br /><br />Once our pieces are ready, we use analytics to understand the picture they form. Descriptive analytics tells us what happened, predictive analytics guesses what might happen next, and prescriptive analytics suggests what to do, much like a coach planning the next move.<br /><br />Next comes machine learning—a way to teach computers to learn from these puzzle pieces. In supervised learning, we give the computer examples with the answers (like a teacher showing how to solve a math problem), while in unsupervised learning, the computer finds patterns all by itself. Deep learning takes this further with neural networks, which work like a mini brain. Special kinds of neural networks include convolutional neural networks (CNNs) for looking at images and recurrent neural networks (RNNs) for understanding sequences like music or sentences.<br /><br />When it comes to understanding words and language, we use Natural Language Processing (NLP). This includes text mining, where computers dig through text to find useful parts, and sentiment analysis, which tries to figure out if the words are happy, sad, or something in between. Sometimes, our data changes over time, and time series analysis helps us track these changes—like following the weather every day.<br /><br />To make decisions, computers use many tools. Regression analysis (including logistic regression) predicts numbers or outcomes, while decision trees break down choices step-by-step. Random forests and gradient boosting combine many decision trees to improve predictions. Support Vector Machines (SVMs) help separate data into groups, and clustering techniques (like k-means clustering, hierarchical clustering, and DBSCAN) group similar pieces together. Association rule learning finds hidden links between different pieces, much like discovering that students who enjoy reading might also love drawing.<br /><br />When our data has too many details, we use techniques like Principal Component Analysis (PCA) or other dimensionality reduction methods such as t-SNE to simplify the picture. Feature engineering and feature selection help us pick the most important pieces, while the bias-variance tradeoff reminds us to balance between a model that’s too simple (underfitting) and one that’s too complex (overfitting). We divide our data into a training set, test set, and validation set, using cross-validation to check our work, and apply regularization to keep everything balanced.<br /><br />After building our model, we evaluate how well it works using a confusion matrix along with metrics like precision, recall, and the F1 score. We can even look at the ROC curve and AUC score to see how good our predictions are.<br /><br />Sometimes, we use ensemble learning, where several models work together using methods like bagging and boosting to get better results. Recommendation systems—whether using collaborative filtering, content-based filtering, or hybrid systems—are like suggestions from a friend, helping you decide what movie to watch or which book to read.<br /><br />As we build these systems, it’s important to think about algorithmic fairness, data bias, data ethics, and data privacy, ensuring we treat everyone’s information with respect and follow rules like the GDPR.<br /><br />To collect data, we might use web scraping or tap into services with APIs. A data pipeline and ETL (extract, transform, load) process help move data from one place to another, often using cloud computing and distributed systems to manage the workload. Tools like Hadoop, MapReduce, and Spark help process data quickly and efficiently.<br /><br />When storing data, we use databases—SQL for relational databases where data is neatly organized, and NoSQL for more flexible storage. Data modeling and entity-relationship diagrams (ERDs) help us design these databases. Data integration, data munging (another way of saying cleaning), and data governance ensure all our pieces work well together. Metadata, data catalogs, and data literacy help us understand what the data means, while data profiling, replication, lineage, and provenance keep track of where the data came from and how it moves. Outliers are the puzzle pieces that don’t quite match, and data augmentation creates more pieces when we need them.<br /><br />Finally, transfer learning allows us to use lessons learned in one area to help in another, reinforcement learning teaches computers through trial and error (like learning to ride a bike), and Generative Adversarial Networks (GANs) let two models compete to create new, realistic pieces.<br /><br />By understanding these building blocks—organizing and cleaning data, learning from it, and respecting rules and fairness—we build a toolbox that helps us solve problems, make predictions, and even create new ideas in our digital world.<br /><br />",
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"content": "This is an experiment, I hope you hear it. I had ChatGPT generate this based on a pattern for intelligence. Can you read it and see if it makes you feel significantly more confident about data science?:\n\n#datascience #machinelearning #ai\n\nImagine that data is like a giant box of puzzle pieces. Some pieces are neatly cut and easy to connect (structured data), while others are all different shapes and sizes (unstructured data) or a mix of both (semi-structured data). We keep these pieces in special storage rooms called data warehouses or data lakes, especially when there are so many pieces it’s called big data.\n\nBefore we can build our puzzle, we need to clean and sort the pieces. Data cleaning and data wrangling are like washing and organizing your supplies, and data transformation, normalization, and standardization help make everything fit together nicely. Sometimes pieces are missing, so data imputation fills in the gaps.\n\nOnce our pieces are ready, we use analytics to understand the picture they form. Descriptive analytics tells us what happened, predictive analytics guesses what might happen next, and prescriptive analytics suggests what to do, much like a coach planning the next move.\n\nNext comes machine learning—a way to teach computers to learn from these puzzle pieces. In supervised learning, we give the computer examples with the answers (like a teacher showing how to solve a math problem), while in unsupervised learning, the computer finds patterns all by itself. Deep learning takes this further with neural networks, which work like a mini brain. Special kinds of neural networks include convolutional neural networks (CNNs) for looking at images and recurrent neural networks (RNNs) for understanding sequences like music or sentences.\n\nWhen it comes to understanding words and language, we use Natural Language Processing (NLP). This includes text mining, where computers dig through text to find useful parts, and sentiment analysis, which tries to figure out if the words are happy, sad, or something in between. Sometimes, our data changes over time, and time series analysis helps us track these changes—like following the weather every day.\n\nTo make decisions, computers use many tools. Regression analysis (including logistic regression) predicts numbers or outcomes, while decision trees break down choices step-by-step. Random forests and gradient boosting combine many decision trees to improve predictions. Support Vector Machines (SVMs) help separate data into groups, and clustering techniques (like k-means clustering, hierarchical clustering, and DBSCAN) group similar pieces together. Association rule learning finds hidden links between different pieces, much like discovering that students who enjoy reading might also love drawing.\n\nWhen our data has too many details, we use techniques like Principal Component Analysis (PCA) or other dimensionality reduction methods such as t-SNE to simplify the picture. Feature engineering and feature selection help us pick the most important pieces, while the bias-variance tradeoff reminds us to balance between a model that’s too simple (underfitting) and one that’s too complex (overfitting). We divide our data into a training set, test set, and validation set, using cross-validation to check our work, and apply regularization to keep everything balanced.\n\nAfter building our model, we evaluate how well it works using a confusion matrix along with metrics like precision, recall, and the F1 score. We can even look at the ROC curve and AUC score to see how good our predictions are.\n\nSometimes, we use ensemble learning, where several models work together using methods like bagging and boosting to get better results. Recommendation systems—whether using collaborative filtering, content-based filtering, or hybrid systems—are like suggestions from a friend, helping you decide what movie to watch or which book to read.\n\nAs we build these systems, it’s important to think about algorithmic fairness, data bias, data ethics, and data privacy, ensuring we treat everyone’s information with respect and follow rules like the GDPR.\n\nTo collect data, we might use web scraping or tap into services with APIs. A data pipeline and ETL (extract, transform, load) process help move data from one place to another, often using cloud computing and distributed systems to manage the workload. Tools like Hadoop, MapReduce, and Spark help process data quickly and efficiently.\n\nWhen storing data, we use databases—SQL for relational databases where data is neatly organized, and NoSQL for more flexible storage. Data modeling and entity-relationship diagrams (ERDs) help us design these databases. Data integration, data munging (another way of saying cleaning), and data governance ensure all our pieces work well together. Metadata, data catalogs, and data literacy help us understand what the data means, while data profiling, replication, lineage, and provenance keep track of where the data came from and how it moves. Outliers are the puzzle pieces that don’t quite match, and data augmentation creates more pieces when we need them.\n\nFinally, transfer learning allows us to use lessons learned in one area to help in another, reinforcement learning teaches computers through trial and error (like learning to ride a bike), and Generative Adversarial Networks (GANs) let two models compete to create new, realistic pieces.\n\nBy understanding these building blocks—organizing and cleaning data, learning from it, and respecting rules and fairness—we build a toolbox that helps us solve problems, make predictions, and even create new ideas in our digital world.\n\n",
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"content": "The pills I make for Michelle and I have been helping too. Restores my health so I won't be blue. My sense of style is actually coming back, with a passion. I used to have to dress nice every day. I looked forward to it in the morning. Put on club clothes and my wool overcoat (if it was winter). Black and white flames leather boots with secret compartments in them too. But I sacrificed my style to let God in. Just never took the effort to start again even though I accomplished what I set out to do, finished. <br /><br />I am going to focus first on my pants. Make sure I have custom fit, pressed pants every day. Then we'll move up in my own way. Take pictures along the way. ",
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"content": "The pills I make for Michelle and I have been helping too. Restores my health so I won't be blue. My sense of style is actually coming back, with a passion. I used to have to dress nice every day. I looked forward to it in the morning. Put on club clothes and my wool overcoat (if it was winter). Black and white flames leather boots with secret compartments in them too. But I sacrificed my style to let God in. Just never took the effort to start again even though I accomplished what I set out to do, finished. \n\nI am going to focus first on my pants. Make sure I have custom fit, pressed pants every day. Then we'll move up in my own way. Take pictures along the way. ",
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"content": "I ran today. A lot. I feel good about me. My hat makes life easier for me. Enables things like running. Less neurological activity. Not fighting as much for sanity. <br /><br />I am trying to make it a habit. Get good at it. I miss being fit. ",
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"content": "I ran today. A lot. I feel good about me. My hat makes life easier for me. Enables things like running. Less neurological activity. Not fighting as much for sanity. \n\nI am trying to make it a habit. Get good at it. I miss being fit. ",
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"content": "Desire To Live<br /><br /><a href=\"https://www.minds.com/search?f=top&t=all&q=foodie\" title=\"#foodie\" class=\"u-url hashtag\" target=\"_blank\">#foodie</a><br /> <a href=\"https://www.minds.com/newsfeed/1709051700486082579\" target=\"_blank\">https://www.minds.com/newsfeed/1709051700486082579</a>",
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"content": "Desire To Live\n\n#foodie\n https://www.minds.com/newsfeed/1709051700486082579",
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"content": "😎😐<br />In the end we really just looked like two Agents, The Matrix, on Mind's stages playing the Dish vs Cable gameses. :*-D<br /><br />",
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"content": "😎😐\nIn the end we really just looked like two Agents, The Matrix, on Mind's stages playing the Dish vs Cable gameses. :*-D\n\n",
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"content": "\"Oh, how cliché!\"<br />\"And for some reason like clichés\"—immature commentary on autism. <br /><br /><a href=\"https://www.minds.com/search?f=top&t=all&q=hackers\" title=\"#hackers\" class=\"u-url hashtag\" target=\"_blank\">#hackers</a> <a href=\"https://www.minds.com/search?f=top&t=all&q=paranoia\" title=\"#paranoia\" class=\"u-url hashtag\" target=\"_blank\">#paranoia</a> <a href=\"https://www.minds.com/search?f=top&t=all&q=everyoneiscomingtogetyou\" title=\"#everyoneiscomingtogetyou\" class=\"u-url hashtag\" target=\"_blank\">#everyoneiscomingtogetyou</a><br />",
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"content": "\"Oh, how cliché!\"\n\"And for some reason like clichés\"—immature commentary on autism. \n\n#hackers #paranoia #everyoneiscomingtogetyou\n",
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