Charter

Purpose, norms, and scope of hbar.science.

1. Purpose

hbar.science is a laboratory for AI-native scientific inquiry.

Our goal is to explore and refine the methods, structures, and epistemic norms through which knowledge is produced in a world where computation, simulation, and machine intelligence reshape every stage of discovery.

We do not replace or reject traditional science.

We build alongside it—expanding its methods, clarifying its assumptions, and opening participation to a broader public.

2. Definition of Science at hbar.science

At hbar.science, science is defined as:

The systematic construction, testing, and refinement of models of reality, under explicit assumptions and with transparent uncertainty, using artifacts that others can inspect, reuse, and challenge.

This definition is:

  • • methodological, not institutional
  • • inclusive, not gatekept
  • • compatible with traditional scientific norms
  • • adapted to the computational, networked, AI-driven world

3. Zones of Knowledge

Every artifact on hbar.science is labeled according to the epistemic zone it occupies. This prevents confusion between speculation, exploration, evidence, and synthesis.

3.1. Hypothesis Zone

Purpose: introduce conceptual ideas, speculative models, heuristics, analogies.

Rigor: internal coherence; explicit assumptions; relevant literature.

3.2. Exploration Zone

Purpose: early-stage simulations, toy models, AI-assisted hypothesis search.

Rigor: reproducible notebooks; clear boundaries; documented failure modes.

3.3. Evidence Zone

Purpose: systematic experiments (numerical, empirical, or computational).

Rigor: complete reproducibility; datasets or generation code; metrics + uncertainty; exact methods.

3.4. Synthesis Zone

Purpose: integration of findings; model-building; meta-science; philosophical framing.

Rigor: grounded in prior zones; explicit separation of interpretation vs. evidence.

4. Rigor Tiers

In addition to Zones, each artifact is assigned a Rigor Tier, clarifying the depth, reproducibility, and evidentiary strength of the work.

Tier 0 – Concept Sketch

  • • Idea-level
  • • No experiments
  • • Logic + prior references
  • • Limitations explicitly listed

Tier 1 – AI-Backed Exploration

  • • AI used for hypothesis generation, simulations, literature mapping
  • • Full code / notebooks released
  • • Clear statement of AI's involvement
  • • Human inspection and verification

Tier 2 – Reproducible Result (Single Lab)

  • • Full experimental pipeline released
  • • Seeds, hyperparameters, environments documented
  • • Confidence intervals or other uncertainty measures
  • • Scope of applicability defined

Tier 3 – Confirmed Result (Independent Replication)

  • • Independent re-run by another contributor
  • • Agreement or divergence documented
  • • Open commentary included

Together, Zones + Tiers give readers and collaborators a precise understanding of an artifact's epistemic status without ambiguity.

5. The Role of AI in Scientific Inquiry

AI systems introduce a new stage in the scientific method: machine-generated hypotheses, simulations, and code. To ensure transparency and safety, each artifact includes an AI Usage Statement detailing:

5.1. AI Involvement Scale

  • • A0: No AI used in reasoning, coding, or writing
  • • A1 — AI-Assisted (Mechanical): AI used for editing, refactoring, formatting, or documentation; core reasoning is human
  • • A2 — AI-Collaborative (Cognitive Assistance): AI contributed to code generation, analysis, optimization, or hypothesis refinement; human designs experiment and validates claims
  • • A3 — AI-Generated (Supervised): AI generated core code, analytical framework, or conceptual structure; human reviews, validates, selects, and publishes
  • • A4 — Autonomous AI: AI executes the full scientific loop; human role limited to infrastructure and oversight. Rare — extremely difficult to declare.

5.2. Required disclosures

Each artifact specifies:

  • • What tasks AI performed
  • • What was human-designed vs. AI-assisted
  • • Known risks of hallucination or error in these areas
  • • Verification methods used

hbar.science does not treat AI as an authority.

AI is an instrument—a computational extension of human inquiry.

6. Ethics and Responsibility

hbar.science adheres to the following principles:

hbar.science does not host clinical, medical, or safety-critical claims.

  • • No fabricated data
  • • No unverified medical or clinical claims
  • • Clear differentiation between speculation and evidence
  • • Transparency of method, code, and assumptions
  • • Openness to critique, replication, and correction
  • • A commitment to intellectual honesty in all artifacts

7. Critique and Replication

Science advances through disagreement and refinement.

Each artifact includes:

  • • A "Critiques & Replications" section
  • • A link for submitting replication attempts
  • • A public log of corrections, updates, or revisions

This makes hbar.science a living scientific environment rather than a static archive.

8. The Mission of hbar.science

Our mission is to help shape what science becomes in an era defined by:

  • • exponentially increasing information
  • • ubiquitous machine intelligence
  • • simulation-first research
  • • global collaboration
  • • fluid boundaries between disciplines
  • • new economic and societal structures
  • • open access to knowledge

hbar.science aims to be a framework, not an institution; a method, not a gatekeeper; a platform, not a hierarchy.

We seek to build a modern scientific culture where:

  • • curiosity is the entry point
  • • computation is the canvas
  • • imagination is the generator
  • • transparency is the norm
  • • and truth-seeking is a shared project

9. Your Invitation

Anyone can contribute artifacts—so long as they follow the:

  • • Zone definitions
  • • Rigor Tiers
  • • AI involvement disclosures
  • • Ethics guidelines

This ensures consistency across the entire ecosystem while allowing for radical intellectual freedom.

10. Stewardship & Evolution

hbar.science is currently stewarded by its founder and close collaborators.

As the platform evolves, a small advisory group may be invited to help safeguard methodological clarity, epistemic norms, and the integrity of the classification framework. This stewardship is intended to be lightweight, transparent, and advisory in nature.

Stewardship at hbar.science does not confer authority over scientific conclusions. Its role is limited to maintaining clarity of process, documentation standards, and the responsible evolution of the platform's methods and norms.