Agentic AI isn’t about learning 10 steps. It’s about mastering 4 loops:
Perception → Memory → Planning → Action. Frameworks change.
Autonomy principles don’t. Build agents that think in systems, not prompts.
MACHINE LEARNING
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Les 4 boucles fondamentales de l’IA autonome
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Ask your favorite LLM for all viewpoints on learning AI
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AI itself is best for that. Ask your favorite LLM “please show me all points of view on learning AI in depth.” Hey @grok can you help?
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Four Major AI Trends for 2026: 3D, Robotics, Agentic Orchestration
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There are four major trends that I see for 2026 in AI: – 3D generation – Robotics, particularly data-to-actions systems (VLM, LAM, world models) – Agentic management and orchestration (and I mean real orchestrations, not bullshit stuff from PDF sellers with n8n) – The
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Local models closing fast on Seedance 2.0 quality
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Yes, even with seedance 2.0 running ahead, the fact that we have these models locally at this quality right now shows the gap is indeed closing fast. I see some incredible stuff around the internet
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Download or clone repo for open source video and audio model
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You can download now, or clone the repo, explore the bleeding edge of Open Source and Audio model from @ltx_model
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Guide to Comfy + LTX-2 setup with example and resources
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My buddy @techhalla has also done some very good dives into how to get setup with Comfy + LTX-2
— Linus ✦ Ekenstam (@LinusEkenstam) 14 février 2026
Here is both an example of what you can create, but in his thread he also links to good resources he put together on getting started.https://t.co/wllkqdcmxGMy buddy @techhalla has also done some very good dives into how to get setup with Comfy + LTX-2 Here is both an example of what you can create, but in his thread he also links to good resources he put together on getting started.
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LTX-2 Open-Source Model with 3.3M Downloads in a Month
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+3.3 Million downloads in 1 Month 🔥
— Linus ✦ Ekenstam (@LinusEkenstam) 14 février 2026
Yet most people are sleeping on LTX-2 plus the fact that its Open-Source
That's right, you can even run it at home, at the cost of electricity.
Let's dig into why I think you should spend some time with this model.
🧵 A thread pic.twitter.com/GHP4syswyQ+3.3 Million downloads in 1 Month Yet most people are sleeping on LTX-2 plus the fact that its Open-Source
That's right, you can even run it at home, at the cost of electricity. Let's dig into why I think you should spend some time with this model. A thread -

Humanoid Robots Learn New Environments with AI Pretraining
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How can we train humanoid robots to handle new environments safely and instantly? Researchers from BIGAI and Xidian University present a breakthrough in humanoid control! By combining large-scale pretraining with a physics-smart world model, the robot can safely practice new
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Reasoning AI and simulated worlds could make FSD datasets irrelevant
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My take: advances in reasoning AI models and better simulated physical world model that they will have access to will make accumulation of large driving datasets for FSD largely irrelevant at some point over the next few years.
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Predicting the evolution of world models
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Feels like we’re at the gpt-2 stage for world models. vNext is gonna hit different.