Study note
Learning NumPy with rougier/numpy-100
A practical summary of the NumPy concepts, patterns, and pitfalls I learned from the first 74 exercises in rougier/numpy-100.
Technical learning, implementation logs, and structured study records.
Reflections on books, articles, research, and essays.
A practical summary of the NumPy concepts, patterns, and pitfalls I learned from the first 74 exercises in rougier/numpy-100.
Anthropic frames AI competition as a choice between two 2028 futures: democracies preserve a compute and model lead, or authoritarian systems catch up and shape the rules. My strongest takeaway is that frontier AI is not an ordinary market good. It is a dangerous strategic capability, and it must be governed as one.