- The promise of AI as a tool for innovation may lead to a flattening of ideas, mistaking uniformity for progress.
- AI models, trained on existing data, generate probable continuations based on past thought, not truth, correcting novelty as error.
- The consensus-building nature of AI can narrow cultural variance, devaluing average outputs and making deviations priceless.