Claim◆Audio · 16:08 — 17:38
Model building is ultimately 90% engineering — it's an industrialized process of data pipelines, distributed training, and reproducibility, not pure research magic.
Eiso argues that model building is an engineering discipline, not theoretical magic. The Model Factory treats training as an end-to-end industrial process with streaming data, immutable data layers, and versioned code. ✦ AI generated
Eiso Kant · Latent Space · 2026-07-23 · original ↗
plays this moment only · 16:08 — 17:38
I would say that our view from very early on in the company was that model building is ultimately 90% engineering. And I think we all know it in the industry because if you look at where's every researcher spending their time, they're spending their time writing code, right? Looking at data and writing code.
verbatim transcript · starts at 16:08
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16:04The Model Factory: Why Model Building Is 90% Engineering
- ·Model building is not theoretical magic, it's engineering
- ·Researchers spend their time writing code, not doing theory
- ·Training is an industrial process: pipelines, data, reproducibility
- ·Treat training as end-to-end industrial process
- ·Streaming data and immutable data layers
- ·Versioned code for full reproducibility
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extends → 95% of model building reduces to improving data or improving compute efficiency — it's not magic, and many more people could be capable researchers.Eiso Kant · Latent Spaceprovides context → Smaller models can be far more capable than expected if trained for persistence, verification, and backtracking behaviors rather than raw intelligence alone.Eiso Kant · Latent Space