More ideas don't necessarily mean more innovation. And prediction is not discovery.
These were the questions I explored in the first two articles of my series on AI, creativity and innovation.
In the third, Algorithmic Inbreeding, I take the argument one step further:
What happens when AI starts learning from AI?
Just as genetic inbreeding can reduce diversity and increase inherited weaknesses, recursive AI training can reinforce errors, biases and dominant assumptions while losing valuable variation.
The risk goes beyond technology. It could affect knowledge, innovation and our ability to challenge established ways of thinking.
When prediction starts learning from prediction, we risk preserving the past instead of discovering the future.
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