In their work, scientists showed how later-generation AI models trained on data from previous generations gradually lose their ability to learn. Instead of meaningful content, they start producing meaningless repetitions.
Researchers warn that endlessly training AI with its own data could have disastrous consequences. To avoid this, you need to carefully filter the data used to train the models.
At the same time, companies that use only human data to train AI can gain a significant advantage in the development of their technology.
Scientists emphasize the importance of using high-quality and diverse data to train AI to avoid negative consequences.
Source: Ferra
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