CERN and Mistral plan a Large Physics Model trained on billions of LHC collisions. Could AI transform particle discovery, and what has actually been announced?
Lifelong Learning is the path to Insights
Insight Area Posts
Goodfire’s Nick Cammarata says AI neurons may be far more interpretable than we thought. What does the 90% claim show, and what remains unproven?
Google’s Willow reduced magic-state errors around 40-fold. What do 99.99% fidelity and an 8% acceptance rate really mean for quantum computing?
Google Deep Review is now public. How does its agentic AI check research papers, what can it really verify, and why does scientific peer review still need humans?
Google’s Gemini 4 Argon is here. Explore its coding benchmarks against GPT-6 Astra and Claude, API pricing, one-million-token context, and what it means for AI agents.
OpenAI’s Navier–Stokes proof may be more original than early reports suggested. But its deepest lesson concerns formal verification, scientific credit, and the growing gap between mathematical discovery and human understanding.
Terence Tao argues that AI is moving mathematics from proof scarcity to proof abundance. Why human understanding, transparency and collaboration now matter more than ever.
Why does walking help us think creatively? Research on movement, divergent thinking, attention, mood and nature offers intriguing answers, with important limits.
My new book explores the beliefs behind procrastination, with REBT-based self-coaching exercises and practical ways to act when motivation is unreliable.
OpenAI has released 372 families of AI-generated mathematics results. What do they really prove, how does Lean verification work, and why are mathematicians divided?