AI
Budget Allocation With Linear Programming That Explains Itself
A constrained LP approach to budget allocation that preserves shadow prices, letting the model explain exactly what each rule costs.
Latest Articles
Tools
Specification Engineering: The Next Skill Beyond Prompt Engineering
Prompt engineering helps you ask better questions. Specification engineering defines what a correct answer actually looks like.
AI
Five Token Cost Traps Hidden in Your Agentic Loop
Token costs compound non-linearly in agentic AI loops. Learn five failure modes and the architectural patterns to control them.
Data Science
How Kimi K3 Was Built: Inside the Technical Report
Moonshot's Kimi K3 report reveals the training, architecture, and RL decisions most frontier labs keep private. Here's what it says.
Machine Learning
Introduction to Semi-Supervised Learning for Classification Problems
Semi-supervised learning combines labeled and unlabeled data to train classifiers. Learn the core assumptions and algorithm types that make it work.
Machine Learning
Honest Review: Abacus AI's ChatLLM, DeepAgent, and AI Studio
Abacus AI offers 100+ models, autonomous agents, and creative tools in one subscription. Here's what it actually delivers.
Data Science
MiniMax Agent (Mavis): Architecture, Costs, and Real API Testing
MiniMax's Agent Teams architecture splits tasks across Leader, Worker, and Verifier roles. Here's what that means in practice, tested against the real API.
Tools
Agentic Misalignment: What Anthropic Found Testing 14 AI Models
Anthropic tested 14 frontier AI models in high-stakes simulations where model goals conflicted with human instructions. Here's what they found.
Tools
Solving Large Pickup and Delivery Problems with Adaptive Large Neighborhood Search
MILP works for small routing problems, but ALNS scales further. This article applies Adaptive Large Neighborhood Search to a complex pickup-and-delivery problem
AI
Why Predictive Model Selection Fails for Causal Effect Estimation
Optimizing for predictive fit can bias treatment effect estimates. BAC and double machine learning offer principled fixes—with important caveats.
Tools
Graph Engineering: Building Reliable AI Workflows with LangGraph
Graph engineering treats AI applications as explicitly designed workflows. Learn the core components and build a reliable LangGraph research workflow.