Debating OpenAI's Training Funding Logic
nptacek · x · 2026-07-19
This post attempts to steelman a core concern within OpenAI: if they cannot sell inference tokens at a high enough markup, they may fail to secure the funding needed for the next massive training round.
The author agrees this premise is largely sound, adding that the continuous emergence of powerful open-source models will further erode OpenAI's ability to extract high gross margins from inference services. The controversy lies in the final logical leap: OpenAI assumes that if even they cannot fund their next training round, it means "no one can," because the business model is fundamentally unprofitable. The author and many others find this conclusion overly dogmatic.
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