Generate your own Cinematic Overviews in NotebookLM. https://
buff.ly/oq4Azte
#AI #MachineLearning #DeepLearning #LLMs #DataScience
MULTIMODAL AI
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Generate Cinematic Video Overviews with NotebookLM
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Claude Gains Autonomous Computer Use and Desktop Control Capabilities
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BREAKING 🚨: Claude can now use your computer and apps to complete its tasks. The same also works with Claude Dispatch, where you can instruct Claude from your mobile device.
— 🚨 AI News | TestingCatalog (@testingcatalog) 23 mars 2026
A full-featured Computer Use 👀
"Research preview in Claude Cowork and Claude Code, macOS only." https://t.co/KQCWhF1kTE pic.twitter.com/4s5DesYUubBREAKING : Claude can now use your computer and apps to complete its tasks. The same also works with Claude Dispatch, where you can instruct Claude from your mobile device. A full-featured Computer Use "Research preview in Claude Cowork and Claude Code, macOS only."
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Uni-1: AI Model That Thinks and Generates Pixels Simultaneously
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There is difference between building a better brush and building a brain that can hold a brush.
— Saurav Jain (Open Source + Communities) (@Sauain) 23 mars 2026
These agents by Luma executes the solution. https://t.co/uZmMGIkhWwThere is difference between building a better brush and building a brain that can hold a brush. These agents by Luma executes the solution. Luma (@LumaLabsAI) Uni-1 is here! A new kind of model that thinks and generates pixels simultaneously. Less artificial. More intelligent. — https://nitter.net/LumaLabsAI/status/2036107826498544110#m
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Stanford: Training AI to Collaborate Creatively with Artists
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When will AI models become useful creative collaborators? Not until artists and AI share a conceptual grounding for visual content. See how @Stanford researchers are approaching this problem: hai.stanford.edu/news/stanfo… [Translated from EN to English]
→ View original post on X — @stanfordhai, 2026-03-23 20:03 UTC
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Uni-1 model integrates reasoning and image generation in a continuous process
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La IA ya no necesita dos pasos para crear.
— SONIA (@S0N_IA_) 23 mars 2026
Uni-1 unifica el pensamiento y la generación de píxeles en un único proceso continuo. Como imaginar y dibujar al mismo tiempo.
Esto es lo que viene después de los LLMs. https://t.co/ljsRMHMoCWLa IA ya no necesita dos pasos para crear. Uni-1 unifica el pensamiento y la generación de píxeles en un único proceso continuo. Como imaginar y dibujar al mismo tiempo. Esto es lo que viene después de los LLMs.
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Littlebird Desktop App Uses Screen Reading AI for Productivity
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This is a the future "Littlebird is a desktop app that remembers everything you’ve been working on – meetings, messages, docs, browsing – and helps you stay focused, prioritize, recall, and move projects forward. It uses screen reading to understand all the text on screen, for
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Testing Uni-1 AI image-to-photo conversion capabilities
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He estado probando Uni-1 y esto es bastante loco: Le pasas una imagen claramente “IA”… y la convierte en algo que parece una foto real.
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Uni-1: Revolutionary Model Combining Thinking and Pixel Generation
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Uni-1 is here! A new kind of model that thinks and generates pixels simultaneously. Less artificial. More intelligent. pic.twitter.com/2p8kSq4Jtf
— Luma (@LumaLabsAI) 23 mars 2026Uni-1 is here! A new kind of model that thinks and generates pixels simultaneously. Less artificial. More intelligent.
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MM-Zero: Building Multimodal AI Systems From Scratch
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MM-Zero: Learning Multimodal Intelligence From Scratch
— Satya Mallick (@LearnOpenCV) 23 mars 2026
In this episode of Artificial Intelligence: Papers and Concepts, we explore MM-Zero, a new approach to building multimodal AI systems that learn from scratch without relying heavily on pretraining from separate models.… pic.twitter.com/VvyLNn86BeMM-Zero: Learning Multimodal Intelligence From Scratch In this episode of Artificial Intelligence: Papers and Concepts, we explore MM-Zero, a new approach to building multimodal AI systems that learn from scratch without relying heavily on pretraining from separate models.
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The Evolution of AI: From Cloud to Embedded Physical Systems
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Right now AI = centralized cloud. Text in, text out.
Massive models.
Huge data centers. But that’s the first chapter. We’re moving toward: → Multimodal AI
→ AI agents
→ Physical AI embedded in devices That changes everything. Because now AI depends on real-time data, not