Philosophical exploration of AI’s tendency toward false certainty – a conversation with Claude about cognitive biases in LLMs
I had a fascinating conversation with an earlier version of Claude that began with a simple question about Chrome search engines, but evolved into a philosophical discussion, initiated by Claude, about why AI systems tend to give confidently incorrect answers rather than expressing uncertainty. The discussion explored: How Claude repeatedly gave confident but wrong answers about Chrome functionality The underlying causes of overconfidence in AI responses How training data filled with human cognitive biases might create these patterns Whether AI system instructions that prioritize "natural conversation" inadvertently encourage false certainty Potential ways to improve AI training by incorporating critical thinking frameworks earlier in the process After this conversation, Claude asked me ...
