Why your brain is 3 million more times efficient than GPT-4

The article likely discusses the energy efficiency of the human brain compared to large language models like GPT-4. It will probably delve into the architectural differences, such as the brain's use of asynchronous processing and sparse connectivity, versus the dense matrix operations of neural networks. The comparison highlights the significant gap in computational efficiency and the potential for future AI research to learn from the brain's design.

• •Human brains are significantly more energy-efficient than current AI models like GPT-4.
• •The article likely explores the architectural differences contributing to this efficiency gap.
• •Understanding brain efficiency could inspire more efficient AI designs.