We’re Running Out of Data to Feed Our AI

Author(s): Ole Schildt

Originally published on Towards AI.

AI’s relentless scaling is about to hit the limit. We’re running out of human data and AI can’t just train itself.

Have you felt it too? That subtle feeling that while AI is getting better, the truly mind-blowing leaps are becoming a little less frequent. We see new models from Google, Meta, and OpenAI drop constantly, each one claiming to be the best yet. But behind the scenes, some researchers are pointing to a massive wall we’re about to hit.

The article explores the impending challenges facing AI development due to a scarcity of high-quality human-generated data necessary for training larger models. As AI content proliferates online, researchers warn that we are nearing an endpoint for available data. The potential solution of using AI-generated data introduces its own set of problems, as such data may diminish overall performance and lead to “model collapse.” As the technology advances, it raises questions about whether we are entering a plateau phase for AI breakthroughs or on the verge of discovering new methodologies that could sustain growth.

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Published via Towards AI