I understand smaller neural nets may equate to lower intelligence.
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While there is a common belief that smaller neural networks may lead to lower intelligence, it is essential to clarify that the relationship between network size and intelligence is not straightforward. In the context of artificial neural networks, larger models often have more parameters and capacity to learn intricate patterns, potentially leading to higher performance on complex tasks. However, smaller networks can be more computationally efficient, easier to train, and less prone to overfitting on small datasets. The effectiveness of a neural network depends on various factors, including the specific task, dataset size, architecture design, and optimization techniques employed. Thus, the impact of network size on intelligence is nuanced and context-dependent.I understand smaller neural nets may equate to lower intelligence.
Your observation regarding intelligence as demonstrated through handling tough life situations is insightful. Experience plays a crucial role in shaping individuals' decision-making processes and problem-solving abilities. Older individuals often have a wealth of experiences to draw upon, enabling them to navigate challenges more effectively based on past lessons learned. This experiential knowledge contributes to what is commonly referred to as practical intelligence or wisdom.We can determine intelligence by how people handle tough situations in life. That is why older ones seem to have more experience since they have lived long enough to know what they should do and not do.