Balancing control and chaos: cybernetics, fraud, and modern organizations with Dan Davies
Complex Systems with Patrick McKenzie (patio11)
Limitations of Large Language Models and Neural Networks
Large language models and neural networks struggle with situations that fall outside their training data, often resulting in failure when faced with new, unprecedented cases. Their reliance on averaging past responses limits their adaptability. Unlike humans or established organizations, which can reorganize to address unfamiliar situations, these models may lack the flexibility needed to respond appropriately to entirely novel scenarios. This highlights a significant limitation in their design and applicability in dynamic environments.
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