🌟Large language models have the potential to be a cornerstone of AGI, with the scaling hypothesis suggesting that they could naturally form AGI when scaled up enough.
🔍Heterogeneous architectures, combining different algorithms and models, may be a path to AGI, leveraging the strengths of each component.
🧩The Transformer architecture excels in episodic memory, while Mamba is strong in long-term memorization without context window constraints.
⏰The attention mechanism in Transformers allows ambiguous words to be accurately represented by considering the context of each word.
🚀The Mamba algorithm, based on a selective state space model, offers linear time scaling and efficient training, making it a promising choice for future AI systems.