According to Greg Brockman, building pretraining infrastructure spans complexity management, abstraction design, operability/observability, and deep systems plus ML expertise, underscoring the operational intensity of large-scale model training (Source: Greg Brockman on X, Sep 7, 2025). For traders, this reinforces that AI training remains compute- and tooling-heavy, consistent with elevated GPU demand and hyperscaler capex reported in 2024 that have influenced AI-exposed equities such as GPU suppliers and cloud providers (Sources: NVIDIA Q2 FY2025 earnings release, Aug 28, 2024; Microsoft FY2024 Q4 earnings call, Jul 2024; Amazon Q2 2024 results, Aug 2024). The post adds no new product, spend, or timeline disclosures and includes no crypto references, suggesting limited immediate price impact absent follow-up announcements (Source: Greg Brockman on X, Sep 7, 2025).