Don't Rush to Train Your Own Models
alex_teichman · x · 2026-07-14
This article discusses a common misconception: enterprises don't necessarily need to train their own models.
The author argues that the internet often frames custom model training as the default answer for enterprise AI adoption. However, for most use cases, the real questions to ask first are about requirements, data, cost, and delivery speed, rather than jumping straight into model training. The core of the article pushes back against the narrative that all enterprise use cases require custom-trained models.
Another referenced article showcases the engineering architecture of a real-time AI tutor: designed to teach math and reading to children aged 4–9. The system must embed educational methodologies directly into its engineering design, as children cannot tolerate slow response times.
Related event: Opinion: Most Enterprises Shouldn't Train Their Own Models Yet(3 posts)→
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