The AI community is questioning the data sources used to train increasingly large language models, with some speculating that current models are around 2-3 trillion parameters and that 10 trillion parameter models are in development. A key concern is the proportional increase in data required for these larger models, especially given previous reports of hitting a "data wall" with existing internet data. Potential solutions being discussed include synthetic data generated by AI models or reasoning traces from human interactions. AI
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