# Inside the Model Factory - Eiso Kant, Poolside AI

> **Platform:** [SPIDITS AI](https://spidits.com/) — Real-Time AI News & Market Intelligence  
> **Published:** 2026-07-23T05:09:14.000Z  
> **Category:** MODEL_RELEASE  
> **Impact Score:** 80/100  
> **Primary Source:** [Latent Space](https://www.latent.space/p/poolside)  
> **Canonical Citation:** [https://spidits.com/timeline/inside-the-model-factory-eiso-kant-poolside-ai](https://spidits.com/timeline/inside-the-model-factory-eiso-kant-poolside-ai)

## Executive Summary
and this is just the beginning.

## Why It Matters (Strategic Analysis)
Crucially, this shifts the frontier paradigm from sheer scale dominance to hyper-efficient systems engineering. As a result, lean engineering pipelines can now rival massive oligopoly compute spends.

## Referenced Coverage & Sources
- **[Latent Space](https://www.latent.space/p/poolside)**: Inside the Model Factory - Eiso Kant, Poolside AI — _Poolside's co-CEO on how his small team of top researchers built a model factory capable of training Laguna S - a 118B MOE beating Thinky's ~1T open weights model... and this is just the beginning._

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*Synthesized by SPIDITS AI Market Intelligence Desk. Track live AI news, model releases, and funding: [https://spidits.com](https://spidits.com)*