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GENERATIVE AI
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AI-Generated Videos Blur Reality: Implications for Information Trust
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El vídeo de Will Smith comiendo pasta se ha convertido en un benchmark para medir la evolución de los vídeos generados con IA.
— Juan Merodio (@juanmerodio) 10 février 2026
En poco tiempo será prácticamente imposible diferenciarlos de un vídeo real. Esto transformará la manera en la que confiamos en la información que vemos pic.twitter.com/yyt8ma2gn0El vídeo de Will Smith comiendo pasta se ha convertido en un benchmark para medir la evolución de los vídeos generados con IA. En poco tiempo será prácticamente imposible diferenciarlos de un vídeo real. Esto transformará la manera en la que confiamos en la información que vemos
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Agentic AI — Executive Guide Available
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"Agentic AI — A Comprehensive Guide for Executives" Download PDF at : https://
linkedin.com/feed/update/ur
n:li:activity:7376261876193824768
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Seedance 2 Stuns With AI Video Generation Capabilities
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La Chine vient encore de frapper fort en génération vidéo IA.
— VISION IA (@vision_ia) 10 février 2026
Seedance 2 fait le buzz sur les réseaux chinois, et les résultats sont bluffants.
Un créateur a comparé ce moment à l'invention de la photographie.
Et honnêtement ? En voyant les clips, c'est difficile de lui donner… pic.twitter.com/q23FhntrtyChina has just struck hard again in AI video generation. Seedance 2 is making waves on Chinese social networks, and the results are stunning. One creator compared this moment to the invention of photography. And honestly? When you see the clips, it's hard to disagree with him.
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Capital Over Labor: How AI Intensifies Wealth Inequality
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https://
wsj.com/economy/jobs/c
apital-labor-wealth-economy-2fcf6c2f?st=JcQuwj
… via @WSJ The Big Money in Today’s Economy Is Going to Capital, Not Labor #AI will intensify this trend. By @greg_ip #RiseoftheRobots -
Book: Unlocking Data with Generative AI and RAG
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New updated 2nd Edition, by @keithbourne v/ @PacktDataML "Unlocking Data with Generative AI and RAG — Learn AI Agent Fundamentals with RAG-powered Memory, Graph-based RAG, and Intelligent Recall" Get the book here: http://
amzn.to/49zsIkb -
Integration transforms AI potential into testable operational systems
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There is something tangible in seeing these pieces come together, because integration turns potential into systems that can actually be tested and stressed. When different technologies start operating as one, progress feels less speculative and more grounded, so the timeline
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Codex demonstrates impressive attention to detail capabilities
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codex is really impressively detail oriented
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Seedance 2.0 Text-to-Video Capabilities Astounding Eerie Mirror Reflection Effect
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— Shiqi Yang (@shiqi_yang_147) 10 février 2026
🐂🍺 John (@johnAGI168) 😱😱😱 Does Seedance 2.0 model really have no limits to its capabilities? It genuinely gave me quite a shock OMG Seedance 2.0 text-to-video prompt👇 【Style】Pseudo-documentary (Vlog Style), hyper-realism, fixed camera live-action feel, natural lighting, with a touch of suspenseful comedy. 【Duration】15 seconds 【Main character】An ordinary young beautiful woman at the bathroom sink in her home. [00:00-00:06] Shot 1: Daily setup (Normalcy). Scene: In front of an ordinary bathroom mirror. Action: The main character is brushing her teeth in front of the mirror with foam all over her mouth. While brushing, she makes all sorts of silly funny faces at the mirror (raising eyebrows and wrinkling her nose). Key detail: The reflection in the mirror is completely normal at this moment, movements synchronized. [00:06-00:11] Shot 2: The Glitch appears. Action: The main character finishes brushing, lowers her head to spit out the foam, then turns around to leave the bathroom. High-energy moment (core plot twist): Just as the main character's real body has already turned away and left the mirror's frame, the "reflection" in the mirror somehow **doesn't move**! That "reflection" continues to hold the teeth-brushing posture, even smiling wickedly and raising an eyebrow at the camera, staying frozen for a full 2 seconds, before suddenly looking panicked and "fast-forwarding" to catch up with the real body's movements and disappearing. Director's note: Create an extremely realistic "network lag" feeling, as if the reflection has independent consciousness. [00:11-00:15] Shot 3: Comedy callback (The Punchline). Action: The main character, now near the door, seems to sense something wrong and suddenly turns back to look at the mirror. Result: The mirror is now completely normal again, empty, only reflecting the wall opposite. The main character looks utterly confused, scratching her head with a bewildered expression at the camera. The frame freezes on the character's confused face (comedic effect). [Translated from EN to English]
→ View original post on X — @shiqi_yang_147, 2026-02-10 03:37 UTC
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Old-School Interpretability Methods for Large Language Models
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Old-School Interpretability for LLMs https://
buff.ly/VC4ScSD
#AI #MachineLearning #DeepLearning #LLMs #DataScience