SOURCES & REFERENCES Shumailov et al. — “AI Models Collapse When Trained on Recursively Generated Data.” Nature, July 2024. https://www.nature.com/articles/s41586-024-07566-y Villalobos et al. (Epoch AI) — “Will We Run Out of Data? Limits of LLM Scaling Based on Human-Generated Data.” International Conference on Machine Learning, 2024. https://arxiv.org/abs/2211.04325 OpenAI — o3 and o4-mini System Card (April 2025). PersonQA hallucination benchmark. Gartner — Forecast on synthetic training data, projecting 60% of training corpora by 2024. Duke University Library — Generative AI Student Survey (January 2025). DeepMind — AlphaZero (chess/Go from self-play); AlphaGeometry (Olympiad-level geometry from synthetic data). Ed Zitron — “The Truth About the AI Bubble & The Software Decline.” Tech Report interview. https://www.wheresyoured.at/ Gary Marcus — “How an AI feedback loop threatens to break ChatGPT.” Tech Report. https://garymarcus.substack.com/ submitted by /u/Downtown-Path-2477
Originally posted by u/Downtown-Path-2477 on r/ArtificialInteligence