FirstPrinciples

We’re working toward an ambitious goal: building an AI Physicist that can help develop a framework unifying (or transcending) quantum mechanics and general relativity by 2035. We know timelines don't guarantee outcomes, but it’s our way to prioritize the right problems and coordinate effort. If you're interested, follow along 🔗 firstprinciples.org/about-us #AI #Physics #AIforScience

Upcoming Talk: Automated Conjecturing, Internal Theories, and AI Discovery In this Talk, Randy Davila will introduce Graffiti3, a system designed to generate interpretable mathematical conjectures. We hope you’ll join us 🔗 event.on24.com/wcc/r/5278423/… #Conjecturing #Math

In this FirstPrinciples Talk, Tom Hope presents systems that use scientific literature as structured input for hypothesis generation and idea discovery. Projects like Scimon, Scideator, and CHIMERA explore how AI can recombine concepts from papers to surface new research directions while addressing how we evaluate the novelty of ideas. ▶️youtu.be/cYxxOCXtIko #AIforScience #AI

What if we could build a model that predicts physics the way LLMs understand language? In this FirstPrinciples Talk, Florian Wiesner introduces the General Physics Transformer (GPhyT), an early step toward a physics foundation model that learns dynamics from simulations and infers governing laws from just a few timesteps. 🔗youtu.be/6tKNwIhHk9s #Physics #AI

We’re pleased to welcome Yang-Hui He to the FirstPrinciples Scientific Advisory Board. A leading voice in AI for mathematics, Yang will help guide the development of Theo, the AI Physicist, particularly in mathematical and symbolic reasoning.🔗 firstprinciples.org/article/yang-h… #AI #Physics

FirstPrinciples is hiring 🚀 As we continue building the AI Physicist, we’re looking to grow our team across development, product, and technical roles. Help us build what's next: job-boards.greenhouse.io/firstprinciples

AI is transforming astrophysics, but models trained on simulations or past data often struggle when applied to new observations. In this FirstPrinciples Talk, Aleksandra Ćiprijanović (Fermilab) discusses domain shift, robustness, and uncertainty in scientific ML as well as how to improve generalization. Watch 📽️: youtu.be/vZ7rf7l2v5M #Astrophysics #MachineLearning

FirstPrinciples Talks are now on YouTube, starting with 'Accelerating Discovery in Collider Physics with Foundational Models' by Vinicius Mikuni. In this Talk, Vinicius introduces OmniLearn, a foundational model for collider physics that: • Cuts reconstruction compute costs • Enables full uncertainty quantification • Supports model-agnostic new physics searches 📽️ youtube.com/watch?v=pJYESA… #AI #AIforScience #Physics

Allow us to (re)introduce what we’re building: Theo, the AI Physicist. Modular by design, Theo is being built to progress through the scientific method. To participate reliably (and openly) alongside the scientific community, we aim to have Theo produce transparent outputs that can be challenged and extended upon. We’re building AI for science, in service of shared understanding. If that’s a future you care about, we invite you to be part of it. 💡 firstprinciples.org/ai-physicist #AI #AIforScience #Physics

We’re pleased to welcome Victor Galitski as the inaugural member of FirstPrinciples’ Scientific Advisory Board🔗bit.ly/3O95ASl #Physics #AI #Science

FirstPrinciples is excited to announce the launch of the Theo Collaborators Program, a new initiative bringing physicists into direct collaboration with Theo, the AI Physicist. The goal is to help develop credible standards for AI-driven theoretical work by placing expert human judgment directly into the loop. firstprinciples.org/article/firstp… #Research #Opportunity #AI

In Dec 2025, FirstPrinciples sponsored a panel at the ML4PS workshop at NeurIPS 2025. Our latest article reflects on the conversations that followed, from rigor and openness to the evolving role of AI in scientific practice.🔗firstprinciples.org/article/reflec… #AI #Machinelearning #physics

Our own Randy Davila will be presenting at the Math + AI Workshop 2026 at Aarhus University this week. He’ll share his work on TxGraffiti, an automated conjecturing system exploring how AI can support mathematical discovery. #math #conjecturing #AIforscience #AI

Next week's FirstPrinciples Talks: Nathan Kutz on Shallow Recurrent Decoders for the Automated Discovery of Physical Models. How can data-driven methods uncover interpretable dynamical systems, even with incomplete measurements? Join us for a look at AI as a tool for discovering physics, not just predicting it. event.on24.com/wcc/r/5193822/… #AI #physics #Webinar

FirstPrinciples has received a philanthropic grant from the John Templeton Foundation (@templeton_fdn) marking an early milestone in our effort to build an autonomous AI Physicist for fundamental discovery. We're grateful for their support of new approaches to scientific reasoning and open research infrastructure. 🔗 firstprinciples.org/article/john-t… #OpenScience #AIforScience #physics

The AI Physicist has reached its first autonomy milestone, ahead of schedule. It can now research, generate questions, evaluate them, choose tools, and log its reasoning. It has also reminded us that science runs on transparency and healthy skepticism, not just capability.✍ Full update: bit.ly/48uZymU #AIPhysicist #AIforScience #Physics

From Day 1 to Day 5 at @NeurIPSConf. This job board tells a story. 📌 The field is growing fast, and the demand for talent is growing even faster. Our post is up there, but in case you missed it: firstprinciples.org/careers #NeurIPS2025 #Hiring #AI

Two members of the FirstPrinciples team, Alex Tessier (Director of Engineering) and Randy Davila (Member of Technical Staff, Engineering) will be at NeurIPS this week. If you’re attending and interested in discussing the AI Physicist, we’d love to connect! linktr.ee/firstprinciple… #NeurIPS2025

We're proud to sponsor the Machine Learning and the Physical Sciences workshop at @NeurIPSConf 2025. This year’s workshop tackles a key challenge. How do we keep fundamental science open and well-supported, and what role can industry play in that ecosystem? An important conversation for the ML ↔️ physics community. ml4physicalsciences.github.io/2025/ #AI #NeurIPS2025 #ML