Step back from building and look ahead. Understand what comes after LLMs, where AI's real limitations lie, what cutting-edge research is pursuing, how AI reshapes economies and governments, and how to prepare yourself and the next generation for a world where carbon meets silicon. This is the module that turns you from an ML engineer into someone who thinks about AI's role in civilization.
This course unlocks once you've finished its prerequisite. Open prerequisite →
This is the module where I have to be most careful about honesty, because this is where the strongest opinions live and where the most bullshit gets said.
Write a 1-page "What LLMs can't do" document listing 10 fundamental limitations with technical explanations for each.
Pick 3 research frontiers above. For each, write a 1-paragraph summary of what it is, why it matters, and who's leading the work.
Write your personal "AI Career Strategy" -- how you plan to stay relevant as a software engineer in an AI-augmented world. Include what skills to double down on, what to let go, a…
For a hypothetical ML system you might build at work, write an "AI Ethics Review" document: who could it harm, what biases might it encode, what data privacy issues exist, and how…
Write a letter to your future child (or niece/nephew) explaining what AI is, why it matters, how the world is changing because of it, and what skills they should develop. This is …
6 lessons. Read in order; spiral back when you need to. By the end you'll have used the core ideas twice — once on the abstract, once on something you'll meet at work next week.