
11 - 50 employees
Founded 2024
🤖 Artificial Intelligence
🔬 Science
☁️ SaaS
Artificial Intelligence • Science • SaaS
FirstPrinciples is a research company building AI systems for discovery in fundamental science. It develops domain-specialized models and tools (branded Theo: Theo Collaborator, Theo Conjecture, and Theo, the AI Physicist) to assist the scientific process—hypothesis generation, symbolic reasoning, tool integration, validation loops, and reproducible research objects. The company emphasizes transparency, stewardship of knowledge as a public good, and alignment with the scientific community. Technical claims include multiple fine-tuned models across physics domains, a model family with 120B+ parameters trained on a curated corpus of 3M+ scientific papers, and internal experiments in areas like quantum information.
🔥 2 hours ago
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11 - 50 employees
Founded 2024
🤖 Artificial Intelligence
🔬 Science
☁️ SaaS
Artificial Intelligence • Science • SaaS
FirstPrinciples is a research company building AI systems for discovery in fundamental science. It develops domain-specialized models and tools (branded Theo: Theo Collaborator, Theo Conjecture, and Theo, the AI Physicist) to assist the scientific process—hypothesis generation, symbolic reasoning, tool integration, validation loops, and reproducible research objects. The company emphasizes transparency, stewardship of knowledge as a public good, and alignment with the scientific community. Technical claims include multiple fine-tuned models across physics domains, a model family with 120B+ parameters trained on a curated corpus of 3M+ scientific papers, and internal experiments in areas like quantum information.
• Review candidate research questions generated by the AI Physicist’s Question Formulator (QF) • Help assess whether the system’s reasoning is sound • Contribute to shaping what 'good AI-generated physics' should look like • Provide feedback on assumptions, scope, and framing • Help refine how questions are ranked by novelty, complexity, originality, tractability, and scientific relevance • Review AI-generated research outputs and assess whether they are internally consistent, mathematically sound, properly grounded in the relevant literature, and aligned with accepted physical principles • Identify errors, gaps, or unclear reasoning • Help us identify where the AI Physicist’s scientific workflow falls short
• 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
• Collaborators receive a modest honorarium, reflecting the value of their time and expertise.
Apply Now🔥 2 hours ago
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