LinkNous Research TeamAnnouncement
Frontier AI model training has become heavily centralised due to massive hardware and bandwidth demands. Psyche offers a technical blueprint to coordinate heterogeneous, decentralized hardware, allowing community-driven training runs that rival traditional centralized data centres.
Psyche directly addresses the two most critical barriers in decentralized training: bandwidth limits and trust. The combination of DCT compression and 1-bit quantization reduces gradient communication overhead by orders of magnitude, making consumer or standard internet connections viable. Meanwhile, shifting coordination, witness proofs (using Bloom filters), and random assignments onto a Solana smart contract provides a tamper-resistant consensus mechanism without a single point of failure.
Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.
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