Je pense que ce qui y a de plus honteux là dedans c’est que @Apple n’ai jamais rien livré de matière d’IA. C’est la lose complet.
GENERATIVE AI
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ChatGPT Pro Tier Approval with Spud Disappointment
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I like the $100 ChatGPT pro tier. But I hoped for Spud..
→ View original post on X — @kimmonismus, 2026-04-09 20:55 UTC
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AI Capabilities Advancement: Technical vs Professional Applications
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Exactly right. If you are using AI for anything technical, you are flabbergasted by the advancement in its capabilities. If you are using it for anything else, not so much. Although I’ve also been increasingly using it for legal/business/professional use cases with great amount
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Design RAG System Private Corpus Data Science
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Data Science Case Study: Design a RAG System for a Private Corpus https://
open.substack.com/pub/buildml/p/
data-science-case-study-design-a-625?utm_campaign=post&utm_medium=email
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Claude Cowork Now Generally Available
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Claude Cowork, now generally available! https://t.co/y0gDkmyYRg
— Boris Cherny (@bcherny) 9 avril 2026Claude Cowork, now generally available!
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Genius Creating Absurd Ideas That Work Exceptionally Well
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Genius is coming up with absurd ideas that work really well.
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OpenAI Launches $100 ChatGPT Pro Tier in Response to Demand
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It is very nice to see Codex getting so much love. We are launching a $100 ChatGPT Pro tier by very popular demand.
→ View original post on X — @ceobillionaire, 2026-04-09 20:43 UTC
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Smart AI coordinates cheaper models to boost performance and cut cost
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Claude just sabotaged its own business model (and it did it on purpose) Now the smart AI (Opus) can tell the cheap AI (Sonnet or Haiku) what to do, and the cheap AI executes it perfectly The result:
> +2.7% performance
> -12% cheaper It's like Opus performance without -
OpenClaw: Non-Technical Users’ First Contact with Agent Models
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Someone recently suggested to me that the reason OpenClaw moment was so big is because it's the first time a large group of non-technical people (who otherwise only knew AI as synonymous with ChatGPT as a website) experienced the latest agentic models. [Translated from EN to English]
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PLINY.TV: AI-Curated YouTube Discovery from Model Memory
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INTRODUCING: https://t.co/vNczaF0SqH! 🐉📺
— Pliny the Liberator 🐉󠅫󠄼󠄿󠅆󠄵󠄐󠅀󠄼󠄹󠄾󠅉󠅭 (@elder_plinius) 9 avril 2026
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 🧐… pic.twitter.com/lMnyrnGBgRINTRODUCING: PLINY.TV! 🐉📺 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. pliny.tv 🐉📺
→ View original post on X — @scobleizer, 2026-04-09 20:33 UTC