Signals

A foundational AI research insight: general computational methods ultimately outperform human knowledge-based approaches.

Discussion on how complex algorithmic problems can be simplified using constraint solvers, and the trade-offs between custom solutions and dependency management.

A practical guide demonstrating how economists can build sophisticated AI agents for autonomous research tasks using modern frameworks like LangGraph.

A general audience introduction to how large language models like ChatGPT are built, from data collection to neural network training.

Step-by-step tutorial on building character-level language models, starting with simple bigram models and progressing to transformer architectures.

A systematic approach to collaborating with AI systems on software projects, addressing code bloat, architectural drift, and context dilution through structured constraints and validation checkpoints.

How physics training in linear algebra, tensor calculus, and entropy provides the mathematical foundation for understanding LLMs.

A unifying framework for defeasible reasoning in disjunctive logic programs under answer set semantics using argumentation rules.

A novel framework unifying defeasible reasoning approaches in logic programming through argumentation theories and well-founded semantics.

Learn how to implement OAuth2 authentication with dynamic client registration and authorization server metadata for MCP servers using a reverse proxy gateway approach.