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@MindfulReturn: Today I saw an interview with Professor Huang Biwei (@huang_biwei) and learned about their new round of funding! After learning about the Aether AI solution and taking a closer look at their direction, let me share my thoughts: The next paradigm of AI is not bigger models, but causality. 1. Correlation Ceiling: Why the visuals are...

X AI KOLs Timeline ↗ · yesterday Cached

This article offers an in-depth analysis of the Causal World Model (CWM) proposed by Aether AI (原识之智), arguing that the next AI paradigm will shift from correlation to causation. It discusses the theoretical foundations, technical architecture, and potential impact on video generation and embodied intelligence.

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@gkxspace: LLM is likely just the first stop for AI large models. Professor Biwei Huang divides AI paradigms into four generations: First generation (1990s): Small models learn correlations. Second generation (2010s): Small models learn causation. Third generation (current LLMs): Large models learn correlations. Fourth generation (next step): Large models learn causation. Over 30 years, models have grown from small to large...

X AI KOLs Timeline ↗ · yesterday Cached

Professor Biwei Huang proposes a four-generation theory of AI paradigms, believing LLMs are just the first step, and the future lies in causal world models. Aether AI has completed a $20 million funding round, dedicated to building causal world models.

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