AI Topics
A structured directory of AI topics, organized around innovation and the infrastructure shift shaping what comes next.
Tool-using systems, planning, memory, orchestration, and operational guardrails.
Core concepts and measurement discipline that keep AI claims grounded in reality.
Design patterns that turn capability into useful, trustworthy user experiences.
Adoption strategy, economics, governance, and organizational change driven by AI.
Data pipelines, retrieval systems, and grounding techniques for trustworthy outputs.
Compute, hardware constraints, and systems engineering behind AI at scale.
Applied AI across sectors, focused on constraints, outcomes, and operational reality.
Serving stacks, latency and cost control, and reliability in production inference.
Versioning, evaluation, monitoring, and incident-ready operations for AI systems.
Model families and architecture choices that shape capability, cost, and reliability.
Local inference, private deployments, and open model workflows with practical constraints.
Policy and compliance considerations that shape real-world AI deployment choices.
Frontier developments and the pathways that translate research into systems change.
Risk, evaluation, red teaming, and governance operating models for responsible deployment.
Threat models, privacy controls, and secure deployment patterns for AI systems.
How AI reshapes work, institutions, information trust, and cultural expectations.
Frameworks, SDKs, and interoperability across the AI build and deployment stack.
How models are trained and adapted, with an emphasis on reproducibility and behavior control.
Books by Drew Higgins
Encouragement
Christian Living / Encouragement
God’s Promises in the Bible for Difficult Times
A Scripture-based reminder of God’s promises for believers walking through hardship and uncertainty.
