The Enterprise AI Trap: Why Most Companies Shouldn't Post-Train Models
xennygrimmato_ · x · 2026-08-14
The author argues that the current trend of enterprises post-training open-source models on proprietary data often starts from the wrong place.
- The Right Approach: Companies should first build robust evals to identify which models sit on the Pareto frontier of cost and performance for their specific use cases.
- Strategic Motivations: The desire to own models usually stems from application-layer companies wanting to protect themselves from labs and control data. However, unless model capability is the core barrier to entry, this investment is rarely justified.
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