DeepSeek says cheaper training lets it build larger models on the same compute budget
teortaxesTex · x · 2026-07-23
A quoted DeepSeek discussion argues that lower costs are the key to training bigger models and staying competitive.
- The company says its architecture has already moved toward lower-cost inference and training.
- It claims there are still more algorithmic ways to reduce costs.
- The key logic: the cheaper the model, the larger it can be trained under the same compute budget.
- The quote frames AI competition as a margin game: if one player wants too much of the global AI/GDP pie, another player willing to take less can win.
Related event: DeepSeek Founder's Investor Call Reveals AGI Roadmap and Compute Plans(37 posts)→
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