Visual comparison of DecentralGPT’s decentralized LLM network vs centralized AI platforms

We’re building the missing piece of Web3’s stack—decentralized AI infrastructure.

1:The Centralization Trap Today’s AI giants operate as digital feudalists:

Compute monopolies (AWS/GCP racking $0.10/1k tokens)

Data colonialism (Your queries train their proprietary models)

API gatekeeping (No fine-tuning, no ownership)

This violates crypto’s core tenets.

2:How We Engineer Exit DecentralGPT rebuilds AI inference as a peer-to-peer network

Proof-of-Compute Mining: Any GeForce RTX 3080+ earns $DGC for serving LLMs

Zero-Knowledge Context: Session data lives encrypted on Arweave/IPFS

Composable Agents: Fork, modify, and chain open-source models (like DeFi legos)

→ 93% cheaper than OpenAI’s API in stress tests

3:Tokenomics as Attack Vector $DGC isn’t just payment—it’s an economic weapon against centralized AI

Burn-for-Compute: 30% of fees destroyed (deflationary pressure)

Governance-as-a-Service: Stake to vote on model whitelists

GPU Bonds: Lock tokens to access premium inference tiers

Join the Movement

Try DecentralGPT:

Run a Node & Earn Rewards

Follow Our Community

Learn more:https://www.decentralgpt.org/blog/degpt-vs-chatgpt/

Mirror文章信息

Mirror原文:查看原文

作者地址:0xde8784011e1C864E37697faE28a6E19ae4E6DD9d

内容类型:application/json

应用名称:MirrorXYZ

内容摘要:-Wv3QYAB1sHpQJmJnMq2a2tnCL2fG-s2fPIOdEroqXg

原始内容摘要:WRstQYLE6qnZ6WJGWnOVDuQprnwiGVGkyrm_B2NoYRo

区块高度:1696945

发布时间:2025-06-23 06:04:23