Signals

IEEE's 2025 programming language rankings spark debate about AI's role in reducing language-specific concerns for developers.

Discussion on the challenges and limitations of using LLMs for code generation in production environments, exploring determinism concerns.

Discussion of advanced techniques for constraining LLM outputs using structured generation libraries like Guidance and LLGuidance.

How BlackRock's engineering team overcame challenges in building and deploying AI applications at scale for investment operations teams.

How to build reliable AI systems while navigating the rapid pace of LLM evolution and the tension between domain knowledge and scalable methods.

Key insights on building robust evaluation systems that enable rapid model updates and continuous improvement in AI applications.

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.

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.