The multi-billionaire behind one of Bitcoin's largest mining pools just dropped $30K on a setup he refuses to put in the cloud. Here is the "OpenClaw" architecture
@bitfish is using to stay ahead:
1/ Privacy Is Survival Infrastructure, Not a Feature
DiscusFish did not buy that DGX Spark to save API costs. He bought it to keep his data off the internet entirely. His local gateway tokenizes all PII before any bit leaves the building, creating a physical air-gap for trade secrets. When you are managing billions, "trust the vendor" is not a strategy—it is a liability.
2/ The Lobster Swarm: Multi-Agent Consensus Against Hallucinations
Instead of betting on one model's guess, DiscusFish runs a "lobster cluster" where Researcher, Skeptic, and Executor agents force each other to prove every claim. Like blockchain validators reaching consensus, they cross-check outputs through adversarial debate—killing hallucinations before they reach the user. One brain lies; three brains arguing rarely do.
3/ Breaking the Goldfish Problem
Every ChatGPT session starts as a stranger. DiscusFish's unified memory layer persists context across Kimi, Claude, and local Llama instances, recalling last week's deal details and insights from 500 books regardless of which model answers today. While SaaS AI resets every conversation, his stack builds actual organizational continuity.
沉迷 OpenClaw 一个月,烧了38亿token
接了三家国产大模型订阅备份,
运维十来个看板,
接管了内网DGX spark,跑着本地开源模型
这是底层
在这之上,我搭了几件东西:
记忆系统
本地LLM智能网关 PII隐私管理
梳理了500 本书、
几十篇文章和概念的知识库
构建了两套系统:
① 信息输入 世界结构走向的观测系统;
② 龙虾集群的生命观察——多智能体之间的行为涌现;
一个看世界,一个造世界