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Career advice in the age of AI
Professional value in the AI era is found at the 'last mile' of execution on problems that cannot be solved by simply defining a loss function.
What: Phil Chen argues that career longevity depends on identifying complex, ambiguous problems that fall outside the domain of automated model training and evaluation.
Why it matters: This perspective suggests that developers should prioritize high-level problem discovery and execution over rote coding tasks that are increasingly becoming automated.
Decoder
- Loss function: A mathematical method used in machine learning to quantify the error between a model's predicted output and the desired result, serving as the basis for model optimization.
Original article
The valuable work of the next decade is everything that can't be graded within the span of model training. Focus on resources that are truly limited and learn to find problems in addition to solving them. Work on the most ambitious form of a problem and learn to execute well in the last mile. Put yourself in the right position to see opportunities. The key to unlocking opportunity is to focus on finding interesting problems and delivering extraordinary results.
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