Uncensored-model agent swarms for red-teaming, and a DePIN data comeback thesis
0xJeff · x · 2026-10-31
Crypto-AI blogger 0xJeff proposes harnessing uncensored models to spawn agent swarms pointed at your GitHub repos, websites and smart contracts, red-teaming systems before hackers do — "send millions of agents instead of thousands of humans." NEAR Protocol already serves abliterated DeepSeek and Qwen models on TEE, and dphnAI is working on inference-time decensoring. His quoted post argues "dead" DePIN/DePAI may revive: agents consume 5-20x more tokens than human chats, decentralized inference fills cheap compute, and as AI labs exhaust quality data, networks like Silencio, NATIX, GEODNET and Grass are filling the gap.
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