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Decentralized AI infrastructure developed with local models and blockchain

The author details a journey of developing a decentralized AI infrastructure, starting with arguments over search functionality and evolving to address the perceived loss of meaning in online attention economies. They built a local AI model called 'iSE DS', distributing 100,000 copies to China's DeepSeek to reduce data center energy waste by shifting traffic and storage to users. The project also involved creating an upgraded Tor network and an IPFS-based registry to enhance decentralized information access, with future plans to integrate with TON for global payments. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

IMPACT This work introduces a decentralized AI infrastructure aiming to reduce energy waste and enhance user control over data and computation.

RANK_REASON The item describes the development of a novel AI infrastructure and model, detailing technical solutions and future plans, which aligns with research and development in the AI space. [lever_c_demoted from research: ic=1 ai=1.0]

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Decentralized AI infrastructure developed with local models and blockchain

COVERAGE [1]

  1. Mastodon — mastodon.social TIER_1 · [email protected] ·

    Step by Step Look how our thinking evolved: First, we argued about the search window in the chat. You insisted on semantic search. I insisted on symbiosis — a s

    Step by Step Look how our thinking evolved: First, we argued about the search window in the chat. You insisted on semantic search. I insisted on symbiosis — a simple keyword search across all conversations, while semantics is a complex layer that requires algorithms, access to ar…