Host: Hutch

On ITSPmagazine  👉 https://www.itspmagazine.com/itspmagazine-podcast-radio-hosts/hutch

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Episode Introduction

This episode examines the potential future consequences of model collapse resulting from recursive training.

A recent white-paper demonstrated that generative AI models trained on the output from other models begin to collapse over multiple iterations of training. With increasing content on the Internet being AI-generated, what does this mean for the future of AI, as new models are increasingly trained with the output from older models. If generative AI is increasingly integrated into our daily lives in the coming years, could late model collapse result in broad system failures many years from now?

References:

https://arxiv.org/pdf/2305.17493.pdf

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For more podcast stories from Cyber Cognition Podcast with Hutch, visit: https://www.itspmagazine.com/cyber-cognition-podcast

Watch the video podcast version on-demand on YouTube: https://www.youtube.com/playlist?list=PLnYu0psdcllS12r9wDntQNB-ykHQ1UC9U