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The Path to AGI (Artificial General Intelligence)
The speaker emphasizes their interest in intelligence augmentation rather than AGI, with a focus on making humans better. They mention the need to build the foundation to activate humanity's potential. The speaker disagrees with the belief that multimodality and images are core components of AGI. They discuss two paradigms - stacking more layers and having better data versus combining millions of models that reflect the diversity of humanity. They mention the potential of stable diffusion and combining different models to learn various features. The speaker suggests that the route to AGI may not be one big model trained on the internet, but rather a collection of diverse models, leading to a more human-aligned AGI.