Theo, The AI Physicist
A domain-specialized system designed to reason like a physicist to support discovery in fundamental science.
What Theo Actually Is
Physics-native fine-tuning
Scientific methods and tooling
Auditable reasoning
Human-guided exploration
Theo’s Scientific Workflow
Observe and research
A central evaluator analyzes scientific outputs and guides research modules toward deeper inquiry.
Hypothesis generation and problem solving
When a novel direction is identified, Theo enters a hypothesis-generation and problem-solving phase using specialized models and tools.
Test and analyze
Predictions are then evaluated for quality and consistency and will become testable through simulations and experimentation
Output
Findings are produced as Dynamic Research Objects (DROs) which exist as a digital-first alternative to traditional papers that are dynamic, traceable, reproducible, and fully open.
Feedback
Outputs will be opened to feedback from the system, Theo Collaborators, and reinforcement learning from human feedback.
From Data to Discovery
Observe & Research
Question Formulator
Evaluator
Hypothesize & Solve
Test & Analyze
Output & Feedback
Feedback from Theo Collaborators Program
Feedback from RLHF
Progress & Evidence
01
Architectural milestones completed
Built systems for configurable model training, developed core architecture enabling end-to-end scientific workflows, and trained specialized models in general physics and quantum physics.
02
Early internal experiments
Built large-scale synthetic physics datasets (100k Q&A pairs from arXiv), evaluated open-source models for instruction following, explored hyperparameter optimization in post-training, and identified high-impact datasets for improving physics benchmarks.
03
Measured capabilities vs. known gaps
Early evaluations show strong performance on internal quantum information benchmarks, as well as the BS Benchmark where 122B model outperformed frontier systems. Evaluation on physics datasets is ongoing.
04
Early external signals
Established a Scientific Advisory Board and a growing team across research, data, and engineering.
What we're working on
In 6 months
Build the core infrastructure for machine-verifiable scientific outputs. Deliver high-quality scientific outputs starting in 1 specific domain of physics.
In 12 months
Extend and expand our models, tools, evaluators, and methods across broader domains in physics and mathematics.
Collaborative by design
Open reasoning
Access to reasoning traces and research artifacts available through Dynamic Research Objects and Theo Notebook UI
Structured researcher input
Programs and structured pathways for researchers to contribute and participate in development
Active advisory board
Guided by a Scientific Advisory Board to ensure alignment with accepted standards of modern science