The π algorithm is open source and updated frequently, but you do not point to any alleged bias or suggest corrections, choosing instead to leave for platforms that everyone knows have a strong bias for political correctness, which just another way of saying βliesβ. You used
AI
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PLINY.TV: AI-Curated YouTube Discovery from Model Memory
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INTRODUCING: https://t.co/vNczaF0SqH! ππΊ
— Pliny the Liberator πσ «σ Όσ Ώσ σ ΅σ σ σ Όσ Ήσ Ύσ σ (@elder_plinius) 9 avril 2026
this one's a little different than my usual project, but i hope you enjoy this foray! π«Ά
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 π§β¦ pic.twitter.com/lMnyrnGBgRINTRODUCING: PLINY.TV! ππΊ this one's a little different than my usual project, but i hope you enjoy this foray! π«Ά 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 π§ 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 β "music videos from 200", "cozy 3am lofi rain", "cursed liminal space docs", β 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 β 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? π‘ create channels & publish them to public so anyone can tune in, plus an option to have AI auto-generate an idea π€ AI curator auto-queues 15β20 videos per run, auto-shutoff at 20min to save API cost π₯ AI personas watch with you and chat live β custom personas generated from your channel's vibe π¨ 110+ preset themes β each one a full visual universe, chosen by the model based on your prompt π¬ auto-skip on dead videos, shuffle, request queue, fallback tiers when the AI whiffs π± retro flip phone UI β 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. pliny.tv ππΊ
β View original post on X β @scobleizer, 2026-04-09 20:33 UTC
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AI News Aggregator Platform for X Community
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Cool! I did something similar but just for AI community on X: https://
alignednews.com/ai Yours is awesome for everything else -
AI-Generated Game Waypoint-1.5 Impresses at GTC Conference
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This is what I saw at GTC.
— Robert Scoble (@Scobleizer) 9 avril 2026
It is a completely AI generated game.
Blew me away. https://t.co/hRomMmyl7CThis is what I saw at GTC. It is a completely AI generated game. Blew me away. Overworld (@overworld_ai) Today weβre releasing Waypoint-1.5. An update to our real-time diffusion world model designed to run interactively on consumer hardware. β https://nitter.net/overworld_ai/status/2042287199513952563#m
β View original post on X β @scobleizer, 2026-04-09 20:26 UTC
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OpenAI Subscriptions Now Fully Supported in OpenClaw
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Yes, OpenAI subs are fully supported in OpenClaw.
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Understanding AI Agents: Components and Orchestration Explained
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A simple way to think about AI agents: LLM = reasoning Tools = actions Memory = context Orchestration = the loop The first three are components. The last one is what makes them an agent.
β View original post on X β @akshay_pachaar, 2026-04-09 20:21 UTC
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Scobleizer Refocuses on Interviewing Startup Founders with AI Assistance
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Now that my AI is reading X for me I am going to pour a lot more effort into interviewing founders again who are starting companies. You one? Drop me a line. UNALIGNED (@UnalignedX) What are some things that you would love for @Scobleizer to bring to X? Any companies that come to mind that you would love to hear about? Tag the company that you are most interested to hear about! β https://nitter.net/UnalignedX/status/2042335838848094371#m
β View original post on X β @scobleizer, 2026-04-09 20:21 UTC
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Brain Computer Interfaces and Robots: The Future Arrives
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Wait until brain computer interfaces and robots arrive in our lives. π
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Seedance 2.0 Launch: AI Video Generation Now Available
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Seedance 2.0 on Runway is now available on all paid plans, including the US. All you need is an image, a video, an idea or a piece of audio to start making your interdimensional blockbuster ideas into a reality.
— Runway (@runwayml) 9 avril 2026
New customers can use code SEEDANCE to get 50% off 3 months of our⦠pic.twitter.com/q55660e6aESeedance 2.0 on Runway is now available on all paid plans, including the US. All you need is an image, a video, an idea or a piece of audio to start making your interdimensional blockbuster ideas into a reality. New customers can use code SEEDANCE to get 50% off 3 months of our
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Snorkel AI Reading Group Inaugural Session in San Francisco
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Introducing the Snorkel AI Reading Group, where weβre diving into papers shaping frontier AI with their authors. Join our inaugural session in San Francisco on April 29th (RSVP): https://t.co/QITcjgqhv1@MayeeChen with @StanfordAILab and @hazyresearch will dive into her paperβ¦ pic.twitter.com/uhAF7ss47V
— Snorkel AI (@SnorkelAI) 9 avril 2026Introducing the Snorkel AI Reading Group, where weβre diving into papers shaping frontier AI with their authors. Join our inaugural session in San Francisco on April 29th (RSVP): https://
luma.com/da3tj3pr @MayeeChen with @StanfordAILab and @hazyresearch will dive into her paper