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Logarithmic Approach in AI Advancements
The speaker suggests that while Language Model Models (LLMs) are advancing, there may be a logarithmic approach towards a ceiling in their capabilities, requiring new breakthroughs for further advancement. The current transformer architecture might have limitations in providing additional reasoning and creativity capabilities similar to those seen in humans. However, there seems to be a gradual demystification of human capabilities, indicating that some of these may not be as advanced as initially thought. The speaker hypothesizes that data and power limitations, in addition to the transformer architecture, may contribute to hitting a ceiling in AI advancements.