#JEPA
6 related articles
LeMario: An Open-Source Experiment in …
·2 min
LeMario: An Open-Source Experiment in Training JEPA World Models with Super Mario Bros
LeMario is an open-source project applying JEPA (Joint-Embedding Predictive Architecture) to Super Mario Bros, exploring how AI can understand world dynamics in abstract embedding space.
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·2 min
JEPA World Model Deep Dive: Promise and Controversy
JEPA is LeCun's world model architecture that predicts in abstract embedding space rather than pixels. This article analyzes JEPA's core ideas, differences from generative world models, and key controversies including representation collapse, decodability, and lack of empirical results.
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·3 min
The Progress and Bottlenecks of AI-Generated Video: Stunning Lighting, Questionable Logic
An AI-generated rainy-night walk video sparked debate on Reddit: stunning wet-surface reflections and color temperature contrast, yet flawed logic like pedestrians on roadways. This article unpacks the true state of AI video generation.
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·4 min
LingBot-World 2.0 Meets SGLang: A Deep Dive into the Evolution of Real-Time Interactive World Models
SGLang-Diffusion now officially supports LingBot-World 2.0, delivering leaps in resolution and temporal consistency. With live sessions, chunked streaming, and camera control, world models achieve low-latency controllable interaction.
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·2 min
Lingbot World: A 14B Open-Weight World Model with Causal Architecture and Inference Acceleration
Lingbot World is an open-weight world model on Hugging Face with 14B parameters, causal autoregressive architecture, and inference speed optimizations. Explore its architecture and use cases.
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·5 min
How the Brain Sees and Thinks Simultaneously: A Complete Guide to Predictive Coding Circuits in Visual Cortex
Why can humans "see" the world even under blur and occlusion? This article analyzes bidirectional feedforward-feedback circuits in visual cortex, revealing how predictive coding fuses perception with cognition and its implications for AI.
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