The original title is "Inside the Model Factory — Eiso Kant, Poolside AI"

Short summary

Poolside AI co-CEO Eiso Kant explains how a small team of elite researchers built a model factory that trained Laguna S, a 118B mixture-of-experts model that outperforms Thinky's ~1T parameter open-weights model. The discussion covers their training infrastructure strategy and hints at further scaling plans. This is a Latent.Space podcast episode.

• •Poolside AI built a model factory with a small elite team to train Laguna S (118B MoE)
• •Laguna S reportedly beats Thinky's ~1T open-weights model despite far fewer parameters
• •Eiso Kant suggests this is just the beginning of their scaling roadmap

Generated with AI, which can make mistakes.