Physicist, Theo Collaborators Program

• Help identify which questions are:

• scientifically meaningful;

• tractable;

• already resolved in the literature; or

• ill-posed.

• Provide feedback on assumptions, scope, and framing and help improve the Question Formulator module.

Shaping Question Ranking & Evaluation Criteria

• Help us refine how questions are ranked by:

• novelty;

• complexity;

• originality;

• tractability; and

• scientific relevance

• Contribute to defining what “interesting” and “non-trivial” should mean for the future autonomous scientific system.

This input directly informs how the AI Physicist prioritizes which questions to pursue deeply.

Scientific Validation of Research Outputs

• Review AI-generated research outputs (Dynamic Research Objects, or DROs) and assess whether they are:

• internally consistent

• mathematically sound

• properly grounded in the relevant literature; and

• aligned with accepted physical principles and assumptions

• Identify errors, gaps, or unclear reasoning, including points where assumptions are too strong, steps are missing, or conclusions are not adequately supported.

• In addition, help us identify where the AI Physicist’s scientific workflow falls short, including:

• limitations in hypothesis generation;

• missing or inadequate evaluation criteria;

• weaknesses in symbolic manipulations or formal reasoning; or

• additional modules and capabilities that would be required to make the reasoning more complete, rigorous, or reliable.

This feedback directly informs how we evolve the Theo’s architecture and helps ensure that its outputs meet the standards of serious theoretical physics.

What is a DRO?The primary scientific output of the AI Physicist is a Dynamic Research Object (DRO).

A DRO goes beyond a traditional paper and serves as a dynamic, traceable, and reproducible container that captures:

• the research question;

• assumptions and representations;

• hypotheses considered;

• reasoning paths explored;

• evaluations performed; and

• final conclusions.

DROs are designed to make the entire scientific workflow (including failed paths) auditable and understandable by humans.

A core goal of the Theo Collaborators Program is to help ensure that these DROs are scientifically sound, coherent, and credible.

Who This Is ForWe are looking for researchers who:

• Work in quantum information theory, QEC, or closely related areas.

• Have strong theoretical and mathematical grounding.

• Are curious, but appropriately skeptical, about AI-assisted research.

• Value rigor, clarity, and intellectual honesty.

• Are comfortable engaging with exploratory, incomplete results.

Typical profiles include:

• Late-stage PhD students

• Postdoctoral researchers

• Early-career faculty

• Industry researchers with strong theoretical backgrounds

Time Commitment & Compensation

• 4 month engagement

• Light but focused commitment (~15 hours/month):

• occasional short calls

• asynchronous review and feedback (a few hours per month).

Collaborators receive a modest honorarium, reflecting the value of their time and expertise.

Why Participate?Collaborators join to:

• Engage seriously with one of the first autonomous systems attempting real theoretical physics.

• Help define how AI-generated scientific reasoning should be evaluated and trusted.

• Contribute to the emergence of a new scientific research paradigm.

• Influence the standards by which AI-assisted theory will be judged.

How to Express Interest:If this resonates, we welcome a brief expression of interest (no formal application required), including:

• a short description of your research background;

• primary areas of expertise; and

• relevant recent work.

Join us at FirstPrinciples and be a part of a transformative journey where science drives progress and unlocks the potential of humanity.

Originally posted on Himalayas

• Physicist
• Theoretical Physicist
• Quantum Physicist
• Research Scientist

Source: Himalayas