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As ifsecurityteams didnt have enough to deal with, a new threat looms on the horizon: model collapse.
The practice of using synthetic data isn’t new, but its overuse has sparked growing concern among experts.
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CEO and Co-Founder of CyCognito.
Reduced diversity:The echo chamber effect leads to a narrowing of perspectives and outputs.
Amplified biases:Existing biases in the data are magnified through repeated processing.
This has led many to believe that more data invariably leads to better outcomes.
These “clean” datasets serve as a baseline for training and retraining models.
AI is still in its early stages; were living in a brave new world.
As a result, things will change quickly as models evolve and new ones are introduced.
This means you have to stay agile and adapt to these changes to stay ahead.
While the above doesnt provide all the answers, its a solid foundation to start building on now.
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