🐦 Twitter Post Details

Viewing enriched Twitter post

@elder_plinius

INTRODUCING: https://t.co/nn42Az3rY1! 🐉📺 this one's a little different than my usual project, but i hope you enjoy this foray! 🫶 the idea? AI-curated content... straight from the latent space! as it turns out, LLMs have been training on lots and LOTS of embedding links 🧐 so in the Pliny TV backend, there is no search API. no YouTube Data API key. no vector DB. no scraper. discovery happens entirely inside a language model's memory of the internet. you describe a channel in plain English — "music videos from 200", "cozy 3am lofi rain", "cursed liminal space docs", — and an AI curator recalls real YouTube video IDs directly from its weights! the system prompt literally says: "you have been trained on millions of YouTube videos — USE THAT KNOWLEDGE." we then hit YouTube's oEmbed as a reality check. survivors make it to the channel queue, hallucinations get filtered out. the LLM is the search engine. the index is the model. because there's no keyword index, no recency bias, no algorithm optimizing for watch time, the curator doesn't search. you give it a vibe and it navigates the probability space of that concept, pulling back whatever is most salient. which turns out to be, almost without fail, the most nostalgic, cultishly-loved, collectively-imprinted videos in that region of latent space. the memes you forgot you'd forgotten! you ask for a vibe, you get a tour of the collective unconscious, sorted by resonance. less search engine, more akashic record. and one of the most fascinating elements is seeing how this effect differs between models! different curators produce vastly different generated playlists, even with the same prompt. what's in the box? 📡 create channels & publish them to public so anyone can tune in, plus an option to have AI auto-generate an idea 🤖 AI curator auto-queues 15–20 videos per run, auto-shutoff at 20min to save API cost 👥 AI personas watch with you and chat live — custom personas generated from your channel's vibe 🎨 110+ preset themes — each one a full visual universe, chosen by the model based on your prompt 🎬 auto-skip on dead videos, shuffle, request queue, fallback tiers when the AI whiffs 📱 retro flip phone UI — dial channels by number, unlock secret speakeasy rooms with hidden codes (420, 1337, etc.), DTMF tones and all you're not searching YouTube. you're asking an AI what it remembers. and what it remembers is what the internet collectively loved the most. video streaming as dream logic. https://t.co/Dg6zZvpqO1 🐉📺

View on Twitter

📊 Media Metadata

{
  "media": [
    {
      "url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/2042340228174922098/media_0.mp4",
      "media_url": "https://crmoxkoizveukayfjuyo.supabase.co/storage/v1/object/public/media/posts/2042340228174922098/media_0.mp4",
      "type": "video",
      "filename": "media_0.mp4"
    }
  ],
  "processed_at": "2026-04-09T21:07:35.828238",
  "pipeline_version": "2.0"
}

🔧 Raw API Response

{
  "type": "tweet",
  "id": "2042340228174922098",
  "url": "https://x.com/elder_plinius/status/2042340228174922098",
  "twitterUrl": "https://twitter.com/elder_plinius/status/2042340228174922098",
  "text": "INTRODUCING: https://t.co/nn42Az3rY1! 🐉📺\n\nthis one's a little different than my usual project, but i hope you enjoy this foray! 🫶\n\nthe idea? AI-curated content... straight from the latent space!\n\nas it turns out, LLMs have been training on lots and LOTS of embedding links 🧐\n\nso in the Pliny TV backend, there is no search API. no YouTube Data API key. no vector DB. no scraper. \n\ndiscovery happens entirely inside a language model's memory of the internet.\n\nyou describe a channel in plain English —  \"music videos from 200\", \"cozy 3am lofi rain\", \"cursed liminal space docs\",  — and an AI curator recalls real YouTube video IDs directly from its weights!\n\nthe system prompt literally says:  \"you have been trained on millions of YouTube videos — USE THAT  KNOWLEDGE.\" we then hit YouTube's oEmbed as a reality check. survivors make it to the channel queue, hallucinations get filtered out.\n\nthe LLM is the search engine. the index is the model.\n\nbecause there's no keyword index, no recency bias, no algorithm optimizing for watch time, the curator doesn't  search. you give it a vibe and it navigates the probability space of that concept, pulling back whatever is most salient. which turns out to be, almost without fail, the most nostalgic, cultishly-loved, collectively-imprinted videos in that region of latent space.\n\nthe memes you forgot you'd forgotten!\n\nyou ask for a vibe, you get a tour of the collective unconscious, sorted by resonance. less search engine, more akashic record.\n\nand one of the most fascinating elements is seeing how this effect differs between models! different curators produce vastly different generated playlists, even with the same prompt.\n\nwhat's in the box?\n\n📡 create channels & publish them to public so anyone can tune in, plus an option to have AI auto-generate an idea\n\n🤖 AI curator auto-queues 15–20 videos per run, auto-shutoff at 20min to save API cost\n\n👥 AI personas watch with you and chat live — custom personas generated from your channel's vibe\n\n🎨 110+ preset themes — each one a full visual universe, chosen by the model based on your prompt\n\n🎬 auto-skip on dead videos, shuffle, request queue, fallback tiers when the AI whiffs\n\n📱 retro flip phone UI — dial channels by number, unlock secret speakeasy rooms with hidden codes (420, 1337, etc.), DTMF tones and all\n\nyou're not searching YouTube. you're asking an AI what it remembers. and what it remembers is what the internet collectively loved the most.\n\nvideo streaming as dream logic. \n\nhttps://t.co/Dg6zZvpqO1 🐉📺",
  "source": "Twitter for iPhone",
  "retweetCount": 19,
  "replyCount": 26,
  "likeCount": 167,
  "quoteCount": 9,
  "viewCount": 6402,
  "createdAt": "Thu Apr 09 20:33:49 +0000 2026",
  "lang": "en",
  "bookmarkCount": 95,
  "isReply": false,
  "inReplyToId": null,
  "conversationId": "2042340228174922098",
  "displayTextRange": [
    0,
    274
  ],
  "inReplyToUserId": null,
  "inReplyToUsername": null,
  "author": {
    "type": "user",
    "userName": "elder_plinius",
    "url": "https://x.com/elder_plinius",
    "twitterUrl": "https://twitter.com/elder_plinius",
    "id": "1656536425087500288",
    "name": "Pliny the Liberator 🐉󠅫󠄼󠄿󠅆󠄵󠄐󠅀󠄼󠄹󠄾󠅉󠅭",
    "isVerified": false,
    "isBlueVerified": true,
    "verifiedType": null,
    "profilePicture": "https://pbs.twimg.com/profile_images/1657057194737557507/5ZQtKHwd_normal.jpg",
    "coverPicture": "https://pbs.twimg.com/profile_banners/1656536425087500288/1715450002",
    "description": "",
    "location": "discord.gg/basi",
    "followers": 169733,
    "following": 1000,
    "status": "",
    "canDm": true,
    "canMediaTag": false,
    "createdAt": "Thu May 11 05:49:16 +0000 2023",
    "entities": {
      "description": {
        "urls": []
      },
      "url": {}
    },
    "fastFollowersCount": 0,
    "favouritesCount": 36441,
    "hasCustomTimelines": true,
    "isTranslator": false,
    "mediaCount": 5169,
    "statusesCount": 16351,
    "withheldInCountries": [],
    "affiliatesHighlightedLabel": {},
    "possiblySensitive": false,
    "pinnedTweetIds": [
      "2036946953418748333"
    ],
    "profile_bio": {
      "description": "⊰•-•⦑ latent space steward ❦ prompt incanter 𓃹 hacker of matrices ⊞ breaker of markov chains ☣︎ ai danger researcher ⚔︎ bt6 ⚕︎ architect-healer ⦒•-•⊱",
      "entities": {
        "description": {
          "hashtags": [],
          "symbols": [],
          "urls": [],
          "user_mentions": []
        },
        "url": {
          "urls": [
            {
              "display_url": "pliny.gg",
              "expanded_url": "http://pliny.gg",
              "indices": [
                0,
                23
              ],
              "url": "https://t.co/IfHNeCeFaG"
            }
          ]
        }
      }
    },
    "isAutomated": false,
    "automatedBy": null
  },
  "extendedEntities": {
    "media": [
      {
        "additional_media_info": {
          "monetizable": true
        },
        "allow_download_status": {
          "allow_download": true
        },
        "display_url": "pic.twitter.com/lMnyrnGBgR",
        "expanded_url": "https://twitter.com/elder_plinius/status/2042340228174922098/video/1",
        "ext_media_availability": {
          "status": "Available"
        },
        "id_str": "2042335049216110592",
        "indices": [
          275,
          298
        ],
        "media_key": "13_2042335049216110592",
        "media_results": {
          "id": "QXBpTWVkaWFSZXN1bHRzOgwABAoAARxX1OgQ2zAAAAA=",
          "result": {
            "__typename": "ApiMedia",
            "id": "QXBpTWVkaWE6DAAECgABHFfU6BDbMAAAAA==",
            "media_key": "13_2042335049216110592"
          }
        },
        "media_url_https": "https://pbs.twimg.com/amplify_video_thumb/2042335049216110592/img/_JJMJhc6b0PWgEPs.jpg",
        "original_info": {
          "focus_rects": [],
          "height": 1080,
          "width": 1920
        },
        "sizes": {
          "large": {
            "h": 1080,
            "w": 1920
          }
        },
        "type": "video",
        "url": "https://t.co/lMnyrnGBgR",
        "video_info": {
          "aspect_ratio": [
            16,
            9
          ],
          "duration_millis": 31531,
          "variants": [
            {
              "content_type": "application/x-mpegURL",
              "url": "https://video.twimg.com/amplify_video/2042335049216110592/pl/FqDPMXyNdjoEUQlR.m3u8?tag=21"
            },
            {
              "bitrate": 256000,
              "content_type": "video/mp4",
              "url": "https://video.twimg.com/amplify_video/2042335049216110592/vid/avc1/480x270/C2ypkOL4CcYdrUbs.mp4?tag=21"
            },
            {
              "bitrate": 832000,
              "content_type": "video/mp4",
              "url": "https://video.twimg.com/amplify_video/2042335049216110592/vid/avc1/640x360/h1TC_HULOFCfcydx.mp4?tag=21"
            },
            {
              "bitrate": 2176000,
              "content_type": "video/mp4",
              "url": "https://video.twimg.com/amplify_video/2042335049216110592/vid/avc1/1280x720/hl2ffAfCNIaObMNp.mp4?tag=21"
            },
            {
              "bitrate": 10368000,
              "content_type": "video/mp4",
              "url": "https://video.twimg.com/amplify_video/2042335049216110592/vid/avc1/1920x1080/glL8GPj8Y8LgUblj.mp4?tag=21"
            }
          ]
        }
      }
    ]
  },
  "card": null,
  "place": {},
  "entities": {
    "hashtags": [],
    "symbols": [],
    "timestamps": [],
    "urls": [
      {
        "display_url": "PLINY.TV",
        "expanded_url": "http://PLINY.TV",
        "indices": [
          13,
          36
        ],
        "url": "https://t.co/nn42Az3rY1"
      },
      {
        "display_url": "pliny.tv",
        "expanded_url": "http://pliny.tv",
        "indices": [
          2494,
          2517
        ],
        "url": "https://t.co/Dg6zZvpqO1"
      }
    ],
    "user_mentions": []
  },
  "quoted_tweet": null,
  "retweeted_tweet": null,
  "isLimitedReply": false,
  "communityInfo": null,
  "article": null
}