STORY · MODELLER_
Poolside AI built a model factory that trains 118B model to compete with Thinky
Poolside AI, led by Eiso Kant, has developed infrastructure to train large language models efficiently. Their Laguna S model with 118 billion parameters competes with Thinky's larger open weights model at around one trillion parameters, and this is just the beginning.
WHY IT MATTERS
Shows that smaller, well-organized teams can build competitive models without the gigantic resources that Big Tech has—this "model factory" approach could democratize high-performance AI development.
SOURCES
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