kaal:claim:5095633-004

The apparent abundance of internet text overstates the usable supply, because much of it fails quality thresholds for model training due to redundancy, noise, or irrelevance.

while the internet contains a vast corpus of textual material, not all content meets quality thresholds suitable for model training, given issues such as redundancy, noise, or irrelevance.

Wulf A. Kaal, Artificial Intelligence The Final Frontier (2025), I. Introduction, p. 2
https://ssrn.com/abstract=5095633 · source PDF

Wulf A. Kaal, Artificial Intelligence The Final Frontier (2025). SSRN: https://ssrn.com/abstract=5095633

• applies to internet-sourced text used for model training

mechanismsupport: arguedfailure: quality-filtered supply shortfallfamily: ai-model-and-training-failureai-and-agentseducation-and-practice

• extends kaal:claim:4755632-002 Transformer neural network architecture removes the scale constraint on training data but not the quality cons...

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