The source, Eugene Yan's essay on writing online, is not about AI or machine learning. It is a personal account of lessons from blogging. Yet its advice applies to anyone in a technical field who must communicate complex ideas—a core part of AI/ML work.
Yan recommends writing before you feel prepared. In AI/ML, where models and methods evolve rapidly, waiting to fully understand a topic often means never publishing. Similarly, he stresses quantity over quality in the early stages; regular writing builds clarity and speed. For researchers and engineers, that translates to documenting experiments and observations often, not only for polished papers.
The essay also advises writing for yourself. For AI/ML practitioners, this means keeping notes that are useful to your own thinking, even if they are not instantly accessible to others. This habit improves personal understanding and eventually produces material that others can learn from. The source does not address AI directly, but its core principles align with good technical communication practices.