Hidden prompts are shaping peer reviews, sometimes without leaving a trace. As large language models enter science, new vulnerabilities emerge. How do we protect scientific integrity in the age of AI? 🔗tinyurl.com/6c84c26a #AIinScience #PeerReview #LLMs

Sabine Hossenfelder (Sabine Hossenfelder) recently spoke to us about the limits of AI, the flood of theory papers, and how academic reform might finally be possible. Is science ready for change?🔗bit.ly/46iLv3d #AI #academia #Physics

A new internet is emerging, secured by the laws of physics. 📡 Researchers around the world are testing early models of a quantum internet. Colin Hunter looks at Canada's QEYSSat mission and how it fits into a growing global effort. 🔗bit.ly/3H7XC8U #QuantumInternet

AI is reshaping science, from simulation to peer review. We looked at how these shifts raise new questions around trust and transparency. Join our AI Physicist community to explore more. 🔗 tinyurl.com/58tdbdud #AIinScience #LLMs #PeerReview #Simulation

💡 GLM‑4.5: open, generalist 🧠 Aristotle: rigorous, specialist 📊 Across models: a flood of benchmarks run the risk of splitting our focus AI isn't just evolving, it’s diverging. Read more 🔗bit.ly/47hvV8j #AI #Benchmarks #Reasoning

Breakthroughs at Columbia start with collaboration: shared labs, cross-disciplinary ideas, and open doors. Lucila Pinto (Lucila Pinto 💚) shares proof that when physicists, chemists, and engineers work in sync, science blooms. 🔗bit.ly/45yKcem #QuantumScience #Innovation

We were proud to sponsor this year’s 2025 IAIFI (IAIFI) Summer School, where early-career researchers explored the intersection of AI and fundamental science, building the foundations for future breakthroughs. 🔗 bit.ly/4mhrwXB #AIInnovation #Science

Scientists are leaving academia for industry. Not to quit research, but to do it differently. In our latest article, we spoke with planetary scientist Elizabeth Frank, now harnessing AI and Apollo-era lunar data to drive discovery. 🔗bit.ly/4oVPSb7 #academia

Hallucinations: quirks of AI or predictable events governed by physics? We spoke with Neil Johnson, Professor of Physics, who has modelled LLMs as a physical system showing the tipping point from fact to fiction. 🔗 bit.ly/45Zex64 #AI #Physics #ScienceNews

Chain-of-thought gives us a glimpse into AI reasoning. But it’s fragile—models can disguise their logic, and may stop externalizing it altogether. Experts say monitorability must be treated as a safety property. Is this feasible amidst competitors?🔗bit.ly/3IfUSqG #AI

In an era of billion-dollar labs, small research colleges like Wellesley College and Bowdoin College prove scale isn't everything through mentorship, collaboration, and AI literacy. 🔗bit.ly/4puQDs0 #AIinScience #Academia

At this year's Open Science Fair, held at CERN, we shared an early demo of the AI Physicist. The response? Healthy skepticism, deep debate, and a clear hunger for AI tools that serve science, not just scale. 🔗tinyurl.com/3n9ahjvd #AI #physics #OpenScience

“It could be wrong,” says Minwalla, “but it’s still very exciting.” From India to the Ivy League and back, Minwalla’s work on black holes and grey galaxies is helping decode the physics of information. 🔗 bit.ly/4gXTLc4 #Physics #QuantumGravity #BlackHoles

🚀 Co-op positions are now open! Join our team as a Machine Learning / AI Engineering Co-op (Winter 2026) to help build next-generation AI systems for scientific discovery. Remote across Canada 🇨🇦 🔗 bit.ly/4hkQ40b #AI #Coop #MachineLearning

Join us this Wednesday at 1:00 pm ET for FirstPrinciples Talks: Invisible Cities: Imagining the next era of AI-enabled fundamental physics research with Mariel Pettee (Bernice Durand Assistant Professor of Physics, UW–Madison). 🔗 Register: bit.ly/499ctvu #AI #Science