With AI models growing ever larger, are we reaching the limits of available human-generated data? This episode dives into Epoch AI's analysis of how much high-quality text data remains and when we might exhaust it at the current pace of model training. We’ll explore projections showing that we could fully utilize all available public data between 2026 and 2032, depending on training methods. What does this mean for the future of AI model development, and will synthetic data or multimodal training help fill the gap? Tune in as we break down the potential bottlenecks for future AI scaling.
Download Link:https://epochai.org/blog/will-we-run-out-of-data-limits-of-llm-scaling-based-on-human-generated-data)
