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://ioc.exchange/users/peterrenshaw/statuses/114276785971410380", "type": "Note", "summary": null, "inReplyTo": null, "published": "2025-04-04T00:09:31Z", "url": "https://ioc.exchange/@peterrenshaw/114276785971410380", "attributedTo": "https://ioc.exchange/users/peterrenshaw", "to": [ "https://www.w3.org/ns/activitystreams#Public" ], "cc": [ "https://ioc.exchange/users/peterrenshaw/followers" ], "sensitive": false, "atomUri": "https://ioc.exchange/users/peterrenshaw/statuses/114276785971410380", "inReplyToAtomUri": null, "conversation": "tag:ioc.exchange,2025-04-04:objectId=140424721:objectType=Conversation", "content": "<p>“The story of automation in the US is that it has mostly impacted on manual workers in manufacturing. For example, factory employees — such as carmakers — performing routine tasks have lost their jobs to robots — or lower-cost Asian competitors.</p><p><a href=\"https://ioc.exchange/tags/IndustrialAutomation\" class=\"mention hashtag\" rel=\"tag\">#<span>IndustrialAutomation</span></a> has tended to affect lower-skilled, <a href=\"https://ioc.exchange/tags/BlueCollar\" class=\"mention hashtag\" rel=\"tag\">#<span>BlueCollar</span></a> jobs in the “<a href=\"https://ioc.exchange/tags/rustbelt\" class=\"mention hashtag\" rel=\"tag\">#<span>rustbelt</span></a>” heartlands and small-town, less-educated communities in the south and midwest. </p><p>But a recent study from the <a href=\"https://ioc.exchange/tags/BrookingsInstitution\" class=\"mention hashtag\" rel=\"tag\">#<span>BrookingsInstitution</span></a> suggests that the communities most exposed to AI-driven job dislocation will be <a href=\"https://ioc.exchange/tags/WhiteCollar\" class=\"mention hashtag\" rel=\"tag\">#<span>WhiteCollar</span></a> information workers. The researchers studied the usage of <a href=\"https://ioc.exchange/tags/OpenAI\" class=\"mention hashtag\" rel=\"tag\">#<span>OpenAI</span></a>’s <a href=\"https://ioc.exchange/tags/GenerativeAI\" class=\"mention hashtag\" rel=\"tag\">#<span>GenerativeAI</span></a> tools across more than 1,000 occupations and mapped this against where those jobs were most commonly located. </p><p>Their analysis suggests that many <a href=\"https://ioc.exchange/tags/coders\" class=\"mention hashtag\" rel=\"tag\">#<span>coders</span></a>, <a href=\"https://ioc.exchange/tags/lawyers\" class=\"mention hashtag\" rel=\"tag\">#<span>lawyers</span></a>, <a href=\"https://ioc.exchange/tags/FinancialAnalysts\" class=\"mention hashtag\" rel=\"tag\">#<span>FinancialAnalysts</span></a> and <a href=\"https://ioc.exchange/tags/bureaucrats\" class=\"mention hashtag\" rel=\"tag\">#<span>bureaucrats</span></a> in cities such as San Jose, San Francisco, Durham, New York and Washington DC might want to rethink their futures. But <a href=\"https://ioc.exchange/tags/NonOffice\" class=\"mention hashtag\" rel=\"tag\">#<span>NonOffice</span></a>-bound <a href=\"https://ioc.exchange/tags/workers\" class=\"mention hashtag\" rel=\"tag\">#<span>workers</span></a> in places such as Las Vegas, Toledo, Ohio and Fort Wayne, Indiana may be less exposed to AI disruption.”</p><p>My observation since 2022 when <a href=\"https://ioc.exchange/tags/ChristopherHohn\" class=\"mention hashtag\" rel=\"tag\">#<span>ChristopherHohn</span></a> an influential shareholder decided to *speak out* about “reducing its head count and paying (hi-tech) workers less”. [1]</p><p>This is the decade where extreme (cost) pressure will be forced on White collar workers by the introduction of AI. </p><p>&lt;<a href=\"https://archive.md/YqF03\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"\">archive.md/YqF03</span><span class=\"invisible\"></span></a>&gt; / &lt;<a href=\"https://www.ft.com/content/04343a69-8204-493c-b8c6-edfbd4057199\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://www.</span><span class=\"ellipsis\">ft.com/content/04343a69-8204-4</span><span class=\"invisible\">93c-b8c6-edfbd4057199</span></a>&gt; (paywall)</p><p>[1] &lt;<a href=\"https://www.forbes.com/sites/jonathanponciano/2022/11/15/billionaire-hedge-fund-investor-urges-alphabet-to-cut-costs-no-justification-for-salaries-that-are-too-high/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://www.</span><span class=\"ellipsis\">forbes.com/sites/jonathanponci</span><span class=\"invisible\">ano/2022/11/15/billionaire-hedge-fund-investor-urges-alphabet-to-cut-costs-no-justification-for-salaries-that-are-too-high/</span></a>&gt;</p>", "contentMap": { "en": "<p>“The story of automation in the US is that it has mostly impacted on manual workers in manufacturing. For example, factory employees — such as carmakers — performing routine tasks have lost their jobs to robots — or lower-cost Asian competitors.</p><p><a href=\"https://ioc.exchange/tags/IndustrialAutomation\" class=\"mention hashtag\" rel=\"tag\">#<span>IndustrialAutomation</span></a> has tended to affect lower-skilled, <a href=\"https://ioc.exchange/tags/BlueCollar\" class=\"mention hashtag\" rel=\"tag\">#<span>BlueCollar</span></a> jobs in the “<a href=\"https://ioc.exchange/tags/rustbelt\" class=\"mention hashtag\" rel=\"tag\">#<span>rustbelt</span></a>” heartlands and small-town, less-educated communities in the south and midwest. </p><p>But a recent study from the <a href=\"https://ioc.exchange/tags/BrookingsInstitution\" class=\"mention hashtag\" rel=\"tag\">#<span>BrookingsInstitution</span></a> suggests that the communities most exposed to AI-driven job dislocation will be <a href=\"https://ioc.exchange/tags/WhiteCollar\" class=\"mention hashtag\" rel=\"tag\">#<span>WhiteCollar</span></a> information workers. The researchers studied the usage of <a href=\"https://ioc.exchange/tags/OpenAI\" class=\"mention hashtag\" rel=\"tag\">#<span>OpenAI</span></a>’s <a href=\"https://ioc.exchange/tags/GenerativeAI\" class=\"mention hashtag\" rel=\"tag\">#<span>GenerativeAI</span></a> tools across more than 1,000 occupations and mapped this against where those jobs were most commonly located. </p><p>Their analysis suggests that many <a href=\"https://ioc.exchange/tags/coders\" class=\"mention hashtag\" rel=\"tag\">#<span>coders</span></a>, <a href=\"https://ioc.exchange/tags/lawyers\" class=\"mention hashtag\" rel=\"tag\">#<span>lawyers</span></a>, <a href=\"https://ioc.exchange/tags/FinancialAnalysts\" class=\"mention hashtag\" rel=\"tag\">#<span>FinancialAnalysts</span></a> and <a href=\"https://ioc.exchange/tags/bureaucrats\" class=\"mention hashtag\" rel=\"tag\">#<span>bureaucrats</span></a> in cities such as San Jose, San Francisco, Durham, New York and Washington DC might want to rethink their futures. But <a href=\"https://ioc.exchange/tags/NonOffice\" class=\"mention hashtag\" rel=\"tag\">#<span>NonOffice</span></a>-bound <a href=\"https://ioc.exchange/tags/workers\" class=\"mention hashtag\" rel=\"tag\">#<span>workers</span></a> in places such as Las Vegas, Toledo, Ohio and Fort Wayne, Indiana may be less exposed to AI disruption.”</p><p>My observation since 2022 when <a href=\"https://ioc.exchange/tags/ChristopherHohn\" class=\"mention hashtag\" rel=\"tag\">#<span>ChristopherHohn</span></a> an influential shareholder decided to *speak out* about “reducing its head count and paying (hi-tech) workers less”. [1]</p><p>This is the decade where extreme (cost) pressure will be forced on White collar workers by the introduction of AI. </p><p>&lt;<a href=\"https://archive.md/YqF03\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"\">archive.md/YqF03</span><span class=\"invisible\"></span></a>&gt; / &lt;<a href=\"https://www.ft.com/content/04343a69-8204-493c-b8c6-edfbd4057199\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://www.</span><span class=\"ellipsis\">ft.com/content/04343a69-8204-4</span><span class=\"invisible\">93c-b8c6-edfbd4057199</span></a>&gt; (paywall)</p><p>[1] &lt;<a href=\"https://www.forbes.com/sites/jonathanponciano/2022/11/15/billionaire-hedge-fund-investor-urges-alphabet-to-cut-costs-no-justification-for-salaries-that-are-too-high/\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://www.</span><span class=\"ellipsis\">forbes.com/sites/jonathanponci</span><span class=\"invisible\">ano/2022/11/15/billionaire-hedge-fund-investor-urges-alphabet-to-cut-costs-no-justification-for-salaries-that-are-too-high/</span></a>&gt;</p>" }, "attachment": [], "tag": [ { "type": "Hashtag", "href": "https://ioc.exchange/tags/IndustrialAutomation", "name": "#IndustrialAutomation" }, { "type": "Hashtag", "href": "https://ioc.exchange/tags/bluecollar", "name": "#bluecollar" }, { "type": "Hashtag", "href": "https://ioc.exchange/tags/rustbelt", "name": "#rustbelt" }, { "type": "Hashtag", "href": "https://ioc.exchange/tags/brookingsinstitution", "name": "#brookingsinstitution" }, { "type": "Hashtag", "href": "https://ioc.exchange/tags/whitecollar", "name": "#whitecollar" }, { "type": "Hashtag", "href": "https://ioc.exchange/tags/openai", "name": "#openai" }, { "type": "Hashtag", "href": "https://ioc.exchange/tags/generativeAI", "name": "#generativeAI" }, { "type": "Hashtag", "href": "https://ioc.exchange/tags/coders", "name": "#coders" }, { "type": "Hashtag", "href": "https://ioc.exchange/tags/lawyers", "name": "#lawyers" }, { "type": "Hashtag", "href": "https://ioc.exchange/tags/financialanalysts", "name": "#financialanalysts" }, { "type": "Hashtag", "href": "https://ioc.exchange/tags/bureaucrats", "name": "#bureaucrats" }, { "type": "Hashtag", "href": "https://ioc.exchange/tags/nonoffice", "name": "#nonoffice" }, { "type": "Hashtag", "href": "https://ioc.exchange/tags/workers", "name": "#workers" }, { "type": "Hashtag", "href": "https://ioc.exchange/tags/christopherhohn", "name": "#christopherhohn" } ], "replies": { "id": "https://ioc.exchange/users/peterrenshaw/statuses/114276785971410380/replies", "type": "Collection", "first": { "type": "CollectionPage", "next": "https://ioc.exchange/users/peterrenshaw/statuses/114276785971410380/replies?only_other_accounts=true&page=true", "partOf": "https://ioc.exchange/users/peterrenshaw/statuses/114276785971410380/replies", "items": [] } }, "likes": { "id": "https://ioc.exchange/users/peterrenshaw/statuses/114276785971410380/likes", "type": "Collection", "totalItems": 1 }, "shares": { "id": "https://ioc.exchange/users/peterrenshaw/statuses/114276785971410380/shares", "type": "Collection", "totalItems": 0 } }