Alignment, interpretability, bias, regulation, and the hard open questions every AI practitioner should understand — not to pause AI development, but to build it responsibly.
What Is AI Alignment? Goals, Outer vs Inner
The alignment problem explained for builders and product teams.
Interpretability, Monitoring, and What Teams Can Do Now
Practical safety without waiting for alignment to be solved.
What Is Bias in AI? Types, Examples, and How to Fix It
Where bias enters AI systems and how practitioners address it.
What Is an AI Jailbreak?
How adversarial prompts bypass safety filters — plain-language explainer.
Specification Gaming and Goodhart's Law in AI
Why optimizing the wrong metric breaks AI systems in unexpected ways.
RLHF, Constitutional AI, and Scalable Oversight
The training techniques that shape model behavior and values — explained in full.
AI Regulation: EU AI Act & US Policy Complete Guide
Every risk tier, compliance requirement, and deadline — what builders must know.
AI and Climate Change: The Paradox
AI causes and fights climate change — both sides of the story.
Did Cancer Write This? The AI Ethics Debate
The Berkeley controversy that cut to the heart of AI in medicine.
Yes. Developers making practical decisions — which model to use, how to handle user data, what safeguards to build, how to test for bias — are making safety decisions every day. This pathway isn't about abstract philosophy: it covers RLHF and Constitutional AI (the training techniques that shape model behavior), EU AI Act compliance requirements, how bias enters systems, and what interpretability tools exist for practitioners today.
Some articles (RLHF, interpretability, specification gaming) are more technical. Others (AI regulation, bias, AI and climate) are accessible to anyone. The pathway is designed so that non-technical practitioners can read the policy and ethics articles productively, and technical practitioners get the depth they need in the alignment and training articles.
9 articles, approximately 4 hours. This is an intermediate pathway that covers both technical safety concepts and policy/regulatory considerations.
Understand what AI actually is — tokens, transformers, agents, and the landscape. Start here if you're new.
10 articles · ~4h →Go from vague requests to precise, reproducible AI outputs. The skill that underpins everything.
11 articles · ~5h →Go from zero to productive with Claude Code — the terminal AI coding agent that ships real projects.
13 articles · ~7h →Understand and build the loops, harnesses, and protocols that make AI agents reliable and autonomous.
11 articles · ~6h →Practical AI adoption for your specific function — marketing, engineering, HR, finance, and more.
10 articles · ~4h →Navigate the crowded model market — Claude, GPT, Gemini, open-source — and understand the tradeoffs.
10 articles · ~6h →
