In a recent post, Eugene Yan, a machine learning engineer and writer, shares a personal framework for closing out 2020 and planning 2021. The post is less about specific career advice and more about a repeatable method: pause, inspect what you’ve been doing, and deliberately choose what to carry forward. He uses computing metaphors throughout, describing the annual reset as clearing a cache, evaluating processes, and starting new threads.
Clearing the cache means taking stock of recurring commitments and habits, then pruning those that are no longer useful. Evaluating existing processes involves looking at how work and life are structured—what’s efficient, what’s broken, and what should be changed. Starting new threads is the forward-looking part: launching projects or experiments with clear intent rather than passively letting the year happen.
The value for an AI/ML audience is in the transferable practice. Model development and personal development share a similar loop: collect data, inspect performance, remove bottlenecks, and iterate. Yan’s framework is not a data science technique, but it offers a structured way for practitioners to apply the same debugging mindset to their own work and habits.