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Yang-Hui He Joins FirstPrinciples’ Scientific Advisory Board

Mathematical physicist Yang-Hui He joins FirstPrinciples' Scientific Advisory Board to help guide further development of Theo, the AI Physicist.

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FirstPrinciples Appoints Victor Galitski as Inaugural Member of Scientific Advisory Board

FirstPrinciples announces the appointment of Victor Galitski as the inaugural member of its Scientific Advisory Board to provide guidance on technical direction and alignment of the AI Physicist with modern scientific standards.

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FirstPrinciples Launches Fellowship Program for Researchers in AI and Physics

FirstPrinciples today announced the launch of the FirstPrinciples Fellowship Program for PhD or postdoctoral researchers in machine learning and physics who will work to build the core modules of the AI Physicist system and to help establish new standards for open scientific infrastructure.

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FirstPrinciples launches Theo Collaborators Program to evaluate the AI Physicist’s scientific reasoning capabilities

FirstPrinciples announces the launch of the Theo Collaborators Program, a selective research collaboration designed to bring expert physicists into direct engagement with Theo, the AI Physicist.

John Templeton Foundation Partners with FirstPrinciples to Advance AI-Driven Discovery in Fundamental Physics

FirstPrinciples announced today a philanthropic grant from the John Templeton Foundation, marking early institutional support for the AI Physicist.

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Lab Notes: CiteVerify - Fake citation detection and evidence verification for AI research

Scientific writing has always relied on the implicit contract that claims must remain traceable to evidence. Large language models complicate that relationship. Modern systems can generate reports that appear rigorous and extensively sourced while quietly introducing fabricated citations. CiteVerify is FirstPrinciples’ answer to the rise of fake citations.

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Automated conjecturing: How machines are exploring mathematical structure

Before a theorem can be proved, someone has to decide what is worth proving. For decades, the formation of a conjecture remained largely outside the reach of machines. In Automated Conjecturing with TxGraffiti, Randy Davila explores how that boundary has shifted.

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Lab Notes: Teaching models to reason a little better

A recent recap of work at FirstPrinciples, from fine-tuning and RLVR to ensembles and 122B-scale models. We’re beginning to clarify what improves scientific reasoning, and these are our notes.

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