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Recursive launches Flint, a laptop coding model it says was largely built by AI
Model Release

Recursive launches Flint, a laptop coding model it says was largely built by AI

Startup Recursive has released Flint, a free, laptop-sized coding model built largely by its own AI research system as an early test of self-improving AI.

CodingResearch
#coding model#self-improving ai#recursive#flint#AI#Released#AI Agents

Observed across 4 sources

2 editorial reports · 2 verified social mentions. The most authoritative report leads while later evidence completes the story.

Recursive Releases Flint, an Open-Weight 40B MoE Local Coding Model for Agents with 2.5B Active Params

Open report

Social corroboration

mastodon

🤖 Recursive launches Flint, a laptop coding model it says was largely built by AI Startup Recursive has released Flint, a free, laptop-sized coding model built largely by its own AI research system, as an early test of AI that improves itself. 📰 Source: AI News & Artificial Intelligence | TechCrunch 🔗 Link: https://techcrunch.com/2026/10/21/recursive-launches-flint-a-laptop-coding-model-it-says-was-largely-built-by-ai/ # AI # ArtificialIntelligence

Open mention
reddit

hey folks, im Ye, im one of the contributors to Kapitsa , an open source inference engine optimized specifically for Apple Silicon (all the way from M1 chips to M6) to run Qwen & Nemotron models that would fit a regular MacBook. its custom written Metal kernels, allow us to optimize each chip & for each model. https://github.com/nace-ai/kapitsa/ try it (needs a Mac with 32 GB or more; the download is 22.6 GB): brew install nace-ai/tap/kapitsa kapitsa serve --model flint # OpenAI and Anthropic APIs on localhost kapitsa opencode --model flint # or claude, codex, pi kapitsa bench recursive released a model today and they claim new model that is optimized for coding on 32gb+ macs, its Flint, they claim to beat 35b sparse MoEs by Qwen and come close to qwen 27b dense. we went ahead and added su

Open mention
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