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by aaclark 49 days ago
ai;dr

MLP trained on 8 questions achieves ~0.3cm height error, ~0.3kg weight error, and ~3-4cm for bust/waist/hips measurements.

https://www.mdpi.com/1424-8220/22/5/1885 + some hacking => "we want to productize this"

3 comments

> ai;dr

Haven't seen that one yet. I like it.

I feel like tl:ai would fit better because ai:dr reads, "ai, didn't read" but presumably the ai did read, while "too long, ai" fits the action better
> because ai:dr reads, "ai, didn't read"

That's not how it reads because there is a semicolon in there. It means "This is AI, so I didn't read it".

Also, I'm getting nitpicky here, but LLMs don't ”read".

> LLMs don't read

so it's ok to say "SSD read/write speed", but now that we have something closer to the original meaning of the word, someone always has to point out that "LLMs don't have a soul" (or whatever you think is required for it to count as akchyually reading)

do storage devices have souls?

If I can just stand up for the nitpicker - arguably in the uncanny valley it’s more natural to point out it’s not reading (by their definition) than outside it (ssd’s).
makes sense in a philosophical debate or when you're talking to your confused grandparents, but does anyone on hn not know how LLMs work, at least on the level of "tokens, matrices, data, sgd"?

otherwise, that reminder must imply that people do know how it works, and yet they still ascribe to these models some property like qualia, i.e. something other than "being able to turn english into code and compute into shareholder value";

but then if you disagree, why even mention it in the first place? do atheists randomly proclaim "btw god isn't real!" in unrelated conversations with strangers of unknown religious beliefs?

I read it as "ai, don't read"
What does it mean to have 0.3cm height error, when height is one of the 8 questions?
Another comment summarizes this well: https://news.ycombinator.com/reply?id=47901082

But yeah, it's reasonable to obfuscate that fact form the user

Hey, I'm cofounder. Overall relevant summary, but here is extra context: ai;dr - neither of us are english natives. We use AI, but the content and research is ours and AI could not do it well enough. It's n'th iteration. In fact, we started with photo-based approach and over time simplified it to single questionnaire which yields better results. simple != easy != obvious

why: no fancy equipment, no weird camera scanning (yielding bad results anyways). Still plenty of opportunities to make it even simpler. Ideally we'd measure full body as well or better than a tailor with a tape measure in just few minutes. Possibly without tape measure. We're still long way off both in tech and UX, but good enough for market validation

errors: all of that is roughly within the errors that you'd get from tape measurements. If it's could enough for bespoke, it's good enough to tell you that your bicep won't feel comfortable inthe sleeve