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Brief news summary
A recent study by Epoch AI reveals a growing scarcity of publicly accessible data for training AI systems like ChatGPT. The study predicts that tech giants will deplete the existing text pool by 2026-2032. To address this, OpenAI and Google are forming partnerships with platforms like Reddit and news outlets for high-quality data. However, the limited availability of fresh public text data could hinder AI progress, leading to alternative sources such as sensitive or synthetic data. The study suggests training specialized models for specific tasks rather than increasing the size of AI models, which could enhance performance. Concerns arise about decreased performance and the perpetuation of mistakes and biases in self-trained AI systems. Preserving and incentivizing human-generated content is emphasized as a crucial resource for AI development. Organizations like the Wikimedia Foundation seek to balance AI system usage while maintaining access to and contributions from human creators.A new study suggests that AI language models, like ChatGPT, will soon run out of publicly available training data. The study, conducted by research group Epoch AI, predicts that tech companies will deplete the supply of human-generated writing around the turn of the decade, between 2026 and 2032. Companies like OpenAI and Google are currently racing to secure high-quality data sources, such as Reddit forums and news media outlets, to train their AI models.
However, in the long term, there will not be enough new content to sustain AI development. This may lead to AI systems relying on sensitive data, like emails, or generating synthetic data themselves. The study highlights the need to find alternative ways to scale up AI models and maintain progress.
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