GradientCoin: A Peer-to-Peer Decentralized Large Language Models
Yeqi Gao, Zhao Song, Junze Yin

TL;DR
This paper proposes a theoretical design for a decentralized large language model system inspired by Bitcoin, aiming to address centralization and trust issues in current LLMs, though practical implementation faces significant challenges.
Contribution
It introduces a purely theoretical framework for a decentralized LLM system modeled after Bitcoin, highlighting potential motivations and philosophical implications.
Findings
Conceptual design of a decentralized LLM system
Discussion of practical difficulties in implementation
Exploration of philosophical motivations for decentralization
Abstract
Since 2008, after the proposal of a Bitcoin electronic cash system, Bitcoin has fundamentally changed the economic system over the last decade. Since 2022, large language models (LLMs) such as GPT have outperformed humans in many real-life tasks. However, these large language models have several practical issues. For example, the model is centralized and controlled by a specific unit. One weakness is that if that unit decides to shut down the model, it cannot be used anymore. The second weakness is the lack of guaranteed discrepancy behind this model, as certain dishonest units may design their own models and feed them unhealthy training data. In this work, we propose a purely theoretical design of a decentralized LLM that operates similarly to a Bitcoin cash system. However, implementing such a system might encounter various practical difficulties. Furthermore, this new system is…
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Taxonomy
TopicsBlockchain Technology Applications and Security · FinTech, Crowdfunding, Digital Finance
MethodsRefunds@Expedia|||How do I get a full refund from Expedia? · Attention Is All You Need · Cosine Annealing · Linear Layer · Layer Normalization · Softmax · Dense Connections · Weight Decay · Residual Connection · Linear Warmup With Cosine Annealing
