JOURNAL ARTICLE
ChatGPT Training Programs, Racing in Compression Tights, Living & Training at High Altitude.
Published In: UltraRunning, 2025, v. 45, n. 4. P. 16 1 of 3
Database: SPORTDiscus with Full Text 2 of 3
Authored By: TILLER, NICK 3 of 3
Abstract
The article examines three key topics in sports science: the reliability of ChatGPT and similar large language models (LLMs) for designing training programs, the effects of compression tights on running performance and recovery, and the physiological impacts of living and training at high altitude. It explains that LLMs generate plausible but not guaranteed accurate responses based on patterns in large text datasets, lacking true knowledge or judgment, which limits their reliability for personalized training advice. Compression tights may reduce muscle oscillations and subjective soreness after running but do not improve performance and can cause discomfort during long events. Regarding altitude, short-term stays induce temporary physiological adaptations that fade after returning to sea level, while lifelong residence and genetic adaptations in indigenous high-altitude populations confer lasting endurance advantages not replicable by lowlanders.
Additional Information
- Source:UltraRunning. 2025/10, Vol. 45, Issue 4, p16
- Document Type:Article
- Subject Area:Sports and Leisure
- Publication Date:2025
- ISSN:07443609
- Accession Number:188135297
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