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Poolside AI releases Laguna S 2.1, touts rapid model factory

By PulseAugur Editorial · [2 sources] ·

Poolside AI has released its Laguna S 2.1 model, which reportedly outperforms models from Thinking Machines that are nearly ten times its size. The company's co-founder, Eiso Kant, discussed their "Model Factory" approach, which enables rapid model training and iteration, completing experiments in as little as eight weeks. Poolside AI emphasizes open weights and open research, with Kant expressing a preference for a diverse foundation model landscape over an oligopoly. AI

IMPACT Poolside AI's rapid iteration model factory and open-weight releases could accelerate competition and innovation in the foundation model space.

RANK_REASON Poolside AI is a frontier lab releasing a new model, Laguna S 2.1, with performance claims. [lever_c_demoted from frontier_release: ic=2 ai=1.0]

Read on Latent Space (podcast video) →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Poolside AI releases Laguna S 2.1, touts rapid model factory

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0 / 100
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Significant
Poolside AI is a frontier lab releasing a new model, Laguna S 2.1, with performance claims. [lever_c_demoted from frontier_release: ic=2 ai=1.0]
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2 independent sources
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model release, product
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High
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56 days old
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COVERAGE [2]

  1. Latent Space (swyx) TIER_1 English(EN) ·

    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.

  2. Latent Space (podcast video) TIER_1 English(EN) · Latent Space ·

    Poolside’s Model Factory, Laguna S, Open Models, and the Race to AGI — Eiso Kant, Poolside AI

    From spending $12 million building language models for code before the world cared to creating a Model Factory that can take a model from pre-training to release in eight weeks, Eiso Kant has spent more than a decade betting that code is the path to AGI. In this episode, the Pool…

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