I vibed a small android app for doing workout tracking. It includes a weight estimator component for figuring out cross lift equivalences. In the process, the AI became much more confident that the estimator and the simulator for it were more accurate than the actual data from my work outs.
I ended up doing a big renaming pass to force it away from using mathematical names for things and to have names that explicitly included “estimate” like “estimated1RM” or “bicepStrengthEstimate”.
Too soon to say whether that had the desired effect of reinforcing where truth versus estimate comes from, but I wouldn’t be surprised if the math formalisms nudged its weights towards more certainty then it should have had.
I vibed a small android app for doing workout tracking. It includes a weight estimator component for figuring out cross lift equivalences. In the process, the AI became much more confident that the estimator and the simulator for it were more accurate than the actual data from my work outs.
I ended up doing a big renaming pass to force it away from using mathematical names for things and to have names that explicitly included “estimate” like “estimated1RM” or “bicepStrengthEstimate”.
Too soon to say whether that had the desired effect of reinforcing where truth versus estimate comes from, but I wouldn’t be surprised if the math formalisms nudged its weights towards more certainty then it should have had.
score 1 · canonical