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New P2P swarm project Lumabri aims to run ML models

A new project, Lumabri, aims to run large machine learning models through a peer-to-peer (P2P) swarm. The project humorously likens the process to managing a "colony of digital pigeons" and suggests it could be an avant-garde alternative to tools like GitHub Copilot. AI

IMPACT This project explores novel infrastructure for running ML models, potentially impacting distributed computing and resource utilization.

RANK_REASON The item describes a new project/tool for running ML models, not a frontier release or significant industry event.

Read on Mastodon — fosstodon.org →

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New P2P swarm project Lumabri aims to run ML models

COVERAGE [1]

  1. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    🐦 Ah, the thrill of running massive machine learning models via a # P2P swarm! 🚀 Because nothing screams "cutting-edge" like wrangling a colony of digital pigeo

    🐦 Ah, the thrill of running massive machine learning models via a # P2P swarm! 🚀 Because nothing screams "cutting-edge" like wrangling a colony of digital pigeons with a C engine named after a hummingbird. 🐤 GitHub Copilot, brace yourself for the avant-garde task of crafting code…