AI 101: What are Web World Models?

Princeton’s new recipe for building better world models to support AI agents

FOD#135: What It Means When AI Labs Step Into Healthcare

plus robots from CES

Inside MiniMax: Testing if AGI is Possible Without Infinite VC Money

From rejected pitches to 109% first-day surge: The AI Tiger that chose consumer scale over enterprise contracts, multimodality over language models, and open source over secrecy

11 New Interesting Policy Optimization Techniques

AI 101: DeepSeek mHC: Breaking the Architectural Limits of Deep Learning

your full guide to how residual connections started, how they evolved, and why DeepSeek’s Manifold-Constrained Hyper-Connections (mHC) are so important now

FOD#134: What Changed at CES 2026 That Most People Missed?

From NVIDIA’s Alpamayo challenging Tesla to the strategic split between AMD, NVIDIA and Qualcomm – it matters where AI run

9 Books That Help You Understand AI

For Your After Holiday Reading

12 New Advanced Types of RAG

FOD#133: 23 Research Papers That Hint Where AI Is Heading

with commentary from their authors + foundational books to read this holiday season

Inference: When Will We Solve Intelligence

A curated collection of interviews on intelligence, systems, coding, and control

Models you HAVE to Know About -> AI 101 Recap

Refresh or learn about the most outstanding AI models of the second part of 2025

FOD#132: What to Expect in 2026?

how AI is changing us and what our role will be