[TeMPOraL]

> It's possible "AI" may be just a pretext to sell mass-made junk and pretend it is adjusted to each individual.

It's also an internal distraction. They'd achieve something much closer to what they promise if they just threw some old-school regression analysis at the problem. But that's not cool these days, plus it's hard to relabel as AI even for the marketroids these days, and would involve actual work :).

This applies to many "AI companies" - so many want to either have easy process (throw data at some random Kaggle model and hope it sticks) or just a buzzword to bullshit investors with. Sometimes both.

[marcosdumay]

What problem is there to apply regression at? You get the measures, and make the cloths fit to those measures. If there is any measure missing, you can't just go and guess it, because you are not fitting a population.

Talk about distraction...

[lupire]

People probably have a measurable bias in self-measurement, on average.

[lostcolony]

Sure, but just like people's measures tend toward a distribution, an "on average" bias is still going to be distributed. Trying to throw statistics at it is still going to lead to off the rack style sizing, and NOT individually tailored clothes.

[geoduck14]

How about a neural network trained on thousands of fashion trends?

And by "neural network", I mean my brain.

And by "thousands of fashion trends ", I mean I look at people in the mall.

[ampdepolymerase]

Yes, see https://shoesize.me for how it is properly done.