Mian Zhang

Public Launch Kit

Wisdom Science, in public.

A concise kit for researchers, collaborators, journalists, and readers: official links, positioning, visual assets, and claim boundaries.

Papers Evidence Map
Supra-body architecture visual.

Positioning

Reliable intelligence after failure.

Wisdom Science studies whether AI systems improve after experience, failure, feedback, perturbation, and recovery, rather than only measuring first-attempt capability.

中文定位：参数变大不是 AI 落地的终点。真正缺的是可靠行动：证据、记忆、失败恢复、工作流、分寸感、治理和复盘。

Official Links

Use these links when sharing.

TypeLinkUseBoundary
Websitemianzhang.orgMain public entryBest first link Papersmianzhang.org/papers/DOI and paper mapPublic, not anonymous Evidencemianzhang.org/evidence/Evidence layers and claim boundariesUse for serious readers ArchiveZenodo portfolio DOIPublic priority and artifactsVersioned record GitHubmianzhang.org repositoryWebsite sourceStatic public site HF SpaceStatic mirrorAI-community mirrorSecondary entry
English

Short Bio

Independent AI researcher and founder of the Ouroboros Project, working on Wisdom Science, reflexive AI, embodied intelligence, and reliable decision systems.

中文

简短简介

独立 AI 研究者，Ouroboros Project 发起人，研究智慧科学、反身智能、具身智慧与可靠决策系统。

Boundary

Claim Discipline

Do not frame the work as universal proof, detector SOTA, real-robot deployment, financial advice, medical validity, or autonomous enforcement.

Tone

Public Voice

Calm, rigorous, evidence-gated, and artistic. Strong claims should be paired with artifacts, limits, and next validation steps.

Evidence gate visual.

Visual Assets

Use restrained, high-trust visuals.

The public visual language is black, warm ivory, gold, and restrained red. Prefer evidence gates, closed loops, body-like architectures, and research diagrams. Avoid weapon imagery, hype graphics, clutter, and tiny text.