This might be a quite interesting (but edge case)
I live between Andorra (±1300m) and Paris (0m) - obviously, TR doesn’t know that at the moment, but I’m wondering if that confuses TR AI in my case on how to detect the correct workout/intensity to set?
For example, I spent the last 5 weeks in Andorra and TR actually estimated a 15w decrease in FTP once I’m back in Paris a week ago. (While I had a slight FTP bump the week before when I was in Andorra)
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IDK, but I suspect the AI simply sees variations in performance and adapts as if that’s all they are, not making any causal inference or adjustments. I could see that lead to less than optimal training…like workouts after locating to lower altitudes being too easy and those after locating to higher altitudes being too hard. Here, I live at 1825m but outdoor rides can vary between 1500 and 2750m. If the New and Improved AI is now using unstructured ride data for adaptations, this will add some noise to its inputs.
