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Recursive releases Flint, a local open-weights coding AI

By PulseAugur Editorial · [1 sources] ·

Recursive has launched Flint, an open-weights coding model that can run locally on consumer hardware. This design prioritizes offline use and user data privacy. Developed using the company's Eureka Machine, Flint features a mixture-of-experts architecture with 2.5 billion active parameters out of a total of 40 billion, and was created by a small team in under four months. AI

IMPACT Provides developers with a privacy-focused, locally runnable coding assistant.

RANK_REASON Release of an open-weights model from a non-frontier lab. [lever_c_demoted from research: ic=1 ai=1.0]

Read on Mastodon — mastodon.social →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Recursive releases Flint, a local open-weights coding AI

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Release of an open-weights model from a non-frontier lab. [lever_c_demoted from research: ic=1 ai=1.0]
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Only one publisher covered this so far. Single-source stories can still rank when the publisher is high-authority, but they lack cross-source corroboration.
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model release, product
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20 days old
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COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 English(EN) · hacksgr ·

    Recursive has released Flint, a free open-weights coding model designed to run locally on consumer hardware, enabling offline use and code privacy. Built largel

    Recursive has released Flint, a free open-weights coding model designed to run locally on consumer hardware, enabling offline use and code privacy. Built largely using the company's automated research system, the Eureka Machine, development took a small team under four months. Fl…

    LINKS en.hacks.gr/i-recursive-paroysiase-to-fli…

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