by AbrahamYang | 2025-11-08 20:14:47+00:00
“For All Humanity” means this initiative is built in service of everyone, across borders and disciplines.

Why Science moves faster when repeatable know-how becomes reusable pipelines. AI Scientists in CompareGPT encode best-practice research flows—search → plan → run → verify → publish—for every field, with human supervision and human sign-off for high-stakes results.

What we’re building AI Scientist (CompareGPT): a community + platform where research pipelines are created, audited, shared, and improved—like Science/Nature for methods you can actually run, not just papers. Pipelines as products: creators publish field-specific pipelines (e.g., LLM evals for radiology NLP, optical inverse problems, materials discovery). Others can adopt, cite, and pay usage—you earn when your pipeline is used. Complete field coverage: AI Scientists will develop and maintain pipelines across all research fields so the platform reflects the most advanced knowledge in each area. Domain stewardship: Members serve as field leads, responsible for pipeline development, verification standards, updates, and community feedback. Trust & Safety: every pipeline ships with [VERIFY] checks, logs, prompts/policies, data/tool references, and human gates at critical steps.

Why now CompareGPT already ships Vibe Coding (AI programmer, beta) and AGI Agents (alpha)—the building blocks to compose AI Scientists that run end-to-end studies with monitoring and human approval.

Who we’re inviting Excellent scientists, engineers, and scholar-practitioners (PhD or equivalent) across AI, physics, optics, bio/med, materials, economics/finance, social science, and beyond—especially method builders who care about reproducibility.

Member benefits $20/month CompareGPT credits for active members Revenue share when others use your pipeline (usage-based; terms at onboarding) Editorial adoption: the best pipelines become Standard Pipelines for their niche Visibility & impact: field-lead recognition, method spotlights, featured Repro Packs

What you’ll do Choose a field/task you can turn into a repeatable pipeline. Design the pipeline: search & ingestion → planning → runs → analysis → verification → report. Ship with guardrails: [VERIFY] checks, datasets/tools links, licenses, prompts/policies, failure modes, human sign-off points. Publish & iterate: respond to feedback, improve reliability, track adoption.

Minimum deliverables README (1–2 pages): scope, inputs/outputs, assumptions, risks Method Card: data, tools/APIs, time/cost estimates, failure modes [VERIFY] block: checks, test cases, human-in-the-loop gates Repro Pack: sample inputs/expected outputs + one-click run via Agents/Vibe Coding Attribution & licensing: how to cite and reuse

Governance & trust High-stakes results always require human scientist sign-off. Standard Pipelines are selected by an editorial board on rigor, clarity, reproducibility, and impact. Field leads (members) maintain standards, roadmaps, and updates to keep knowledge current across all fields. All pipelines must disclose data sources, tools, and limitations.

How to Apply — Member of AI Scientist (CompareGPT) Eligibility

PhD (or equivalent track record) or demonstrated method-building in an applied domain Commitment to reproducibility, open methods, and responsible AI

Application (email) email Dr. Abraham Chengshuai Yang at spiritai@platformai.org with:

Subject: AI Scientist – [Field] – [Your Name] Proposed pipeline (3–6 bullets): problem; inputs → outputs; key steps; [VERIFY] checks Links (2–3): representative works (papers, code, datasets) Guardrails paragraph: verification strategy, risks, ethics, data/privacy notes Short bio (2–4 lines): expertise and prior method work

Selection criteria Rigor & clarity • Reproducibility & verification depth • Impact & adoptability • Maintenance plan (update cadence; failure-mode & drift handling)

Review & onboarding Rolling editorial review → member agreement + revenue-share terms → access to Vibe Coding + AGI Agents → publish README/Method Card/[VERIFY]/Repro Pack → open community thread → pipelines that meet quality/adoption thresholds become Standard Pipelines.

About the founder Dr. Abraham Chengshuai Yang, CEO of CompareGPT.io and PlatformAI, has authored 20+ peer-reviewed publications, many as first author, including in Physical Review Letters, Optica, ECCV, and IJCV, spanning AI, physics, and optics. He is the author of the forthcoming book A Silicon Valley Perspective on Superintelligence and the Human Singularity, and has led cross-disciplinary research at UCLA, Westlake University, and East China Normal University.