Self-Critique and Iterative Revision

AI is trained on the sum total of human output—which means it often produces the average of averages. That’s fine for passable results, but not for unique, high-quality work. In this weekend big think episode, NLW explores what he calls AI’s tyranny of the average and shares five techniques to break through it: using negative style guides, forcing divergence and choice, burning down clichés, prompting self-critique, and leveraging examples that defy consensus. Based on an essay by Alex Kantrowitz, this is a practical guide for anyone who wants their AI outputs to stand out rather than blend in.

AI Sameness Essay: https://www.bigtechnology.com/p/ais-sameness-problem

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