A lot of software is about to get a lot better, right before it becomes unnecessary.
GENERATIVE AI
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Dreamer AI Team Joins Meta to Advance Agentic Intelligence
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BREAKING : Dreamer team is joining Meta MSL and licensing Dreamer’s technology to Meta. Dreamer “A place to discover, build, and enjoy agentic apps. It’s your home for personal intelligence.”
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The Importance of Testing the Best Available AI Models
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Almost every time someone tells me they've had a bad experience with AI, it turns out that they were just using a crappy model. TRY THE BEST MODELS AVAILABLE! Otherwise, your view of what AI can do won't match reality. This is just one example. [Translated from EN to English]
→ View original post on X — @mattshumer_, 2026-03-23 19:10 UTC
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Enthusiast endorses emerging AI products as future technology
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It's different, but I'm also a huge fan and have been using it. These products are the future.
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X combats AI-generated content while promoting Grok
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X plans to combat AI-generated content while promoting Grok https://
buff.ly/1Ho4WfE
#AI #MachineLearning #DeepLearning #LLMs #DataScience -
LeWorldModel: JEPA Training Breakthrough by LeCun
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Yann LeCun and his team can't stop cooking "LeWorldModel: Stable End-to-End Joint-Embedding Predictive Architecture from Pixels" One of the biggest bottlenecks of JEPA is they are hard to train, and this new research changes that. They propose LeWorldModel, which shows that a
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GPT 5.4 Outperforms Competitors in Excel and Research Tasks
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GPT 5.4 is cheaper and more performant for xls and deep research than other SOTA models We have now managed to improve performance by 33% on other top Gemini or Claude models OpenAI needs to double down on this win and launch GPT 6.0 ASAP
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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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GradMem: Gradient Descent Memory for Context Compression
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"GradMem: Learning to Write Context into Memory with Test-Time Gradient Descent" Instead of giving LLMs huge KV caches or one-shot compressed summaries, GradMem shows that you can let a frozen model take some test-time gradient steps to write a long context into a small memory.
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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