The prank is good.
The slogan is pure gold.
"move slow and make things."
Move Slow and Make Things
71–80 of 133 posts
Re: Move Slow and Make Things
#72I know this is supposed to be a joke, but I feel like it's too close to reality to be funny. I recently ordered a custom tailored set of shirt, trousers, and belt. Their site was bragging about their great AI technology, but sadly I didn't notice that red flag early enough. The results were nothing short of disastrous. I sent in my measurements and they sent me a trouser with wrong measurements and a postcard that sa…
Gives new meaning to Overfitting being a problem in AI research.
Re: Move Slow and Make Things
#73Earlier quoted context omitted.
> they adjusted my measurements with AI for a better fit I'm trying to think of a way this makes sense. Do they have access to some big database about you that they can use to predict how you'll screw up your measurements?
Oh good I am not the only one. Direct measurement would produce the best result here. Not a guess that AI has with 83% confidence level. I usually find a tailor and buy something from them and in the process they will give me all the measurements for everything else.
My guess would be their system decided OP's measurements were unrealistic and adjusted them towards their more "typical" body shape.
Re: Move Slow and Make Things
#74Earlier quoted context omitted.
> But nobody knows why the issue occurs They do know why that occurs. It's because the data set is biased.
Funny, I remember thinking the questions were biased, every time they weren't the ones I studied to answer in my exam preparations. Too bad I wasn't a data scientist or else I could just get a passing grade by claiming the questions were chosen from a biased data set, or retake the exam until the data set matched the questions I studied for, at which point the data set would no longer be biased, lol. Funny line of wo…
I did a geography O-level (the UK exams for 16-year olds at the time) which included a map-reading exercise. It just so happened to be a couple of miles from where I lived, and I knew it well. Still only got a B though.
Re: Move Slow and Make Things
#75Earlier quoted context omitted.
>In general, if your DS's can't explain the model then something has gone horribly wrong. With modern ML models data scientists can generally explain why the model should work but not exactly how it gives any specific prediction. Explaining how a model with a trillion parameters comes up with an answer is not a trivial task.
> modern ML models As an aside, this is a hilarious phrasing. What are we going to call these methods in a decade? You'd probably be better off phrasing it as deep neural networks. Anyway, this is not really true. There are methods (for lots see: https://christophm.github.io/interpretable-ml-book/ ) and the DeepDream paper came out in 2015, so it's possible. It's computationally expensive, and a lot of people don't s…
>You'd probably be better off phrasing it as deep neural networks.
I phrased it the way I did for a reason. Large Random Forrest models are also not easily interpretable. Even large logistic regression models with feature interactions and feature hashing aren't easily interpretable. It's not a question of the model technique used but rather the amount of parameters and how many feature interactions are modeled.
>And to be fair, if you just need to see how the predictions vary as a function of the inputs, you can again hold all but one constant and run a bunch of different values through the model.
This only provides a partial view of the feature impact due to non-linear interactions.
Re: Move Slow and Make Things
#76Earlier quoted context omitted.
It's called statistics, to be fair. In general, if your DS's can't explain the model then something has gone horribly wrong.
People usually just call it AI then and pretend that it's not a problem. For example, there's been plenty of issues like racial bias with the computer vision algorithms that police uses, which effectively is data science on pictures. But nobody knows why the issue occurs and nobody can specifically fix it without the risk of breaking a thousand unrelated other things.
> But nobody knows why the issue occurs
Sure we do. Photography itself has a racial bias. [0] Different skin tones produce different levels of detail, and it has been an uphill battle to be able to capture those details since the advent of photography.
So long as facial recognition relies on photography, and photography is flawed, then every dataset is biased. Which will exacerbate the bias of the AI, which already has its own set of problems from where those datasets are formed.
[0] https://www.nytimes.com/2019/04/25/lens/sarah-lewis-racial-b...
Re: Move Slow and Make Things
#77I know this is supposed to be a joke, but I feel like it's too close to reality to be funny. I recently ordered a custom tailored set of shirt, trousers, and belt. Their site was bragging about their great AI technology, but sadly I didn't notice that red flag early enough. The results were nothing short of disastrous. I sent in my measurements and they sent me a trouser with wrong measurements and a postcard that sa…
> I sent in my measurements and they sent me a trouser with wrong measurements and a postcard that said that they adjusted my measurements with AI for a better fit Whoa. customer: Please, I need a trouser size 34" AI: Thank you sir, but according to my data, a 33" will better suit you
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Re: Move Slow and Make Things
#78This would have been a great slogan for Steve Jobs. Apple was rarely first with anything, but often first with something useful and special.
A good example of this wise type of management: Apple let music platforms mature before learning from them to create their own offering to then easily market to their hundreads of millions of users - with the advantage of customers who 1) are generally willing to pay a higher, and 2) Apple gives the App Store fees to themselves. Their watch, and next the car - will be the next arguably iconic products.
will be the next arguably iconic products - yeah I mean if apple released a rock someone would argue about how iconic it was
Re: Move Slow and Make Things
#79Earlier quoted context omitted.
Oh good I am not the only one. Direct measurement would produce the best result here. Not a guess that AI has with 83% confidence level. I usually find a tailor and buy something from them and in the process they will give me all the measurements for everything else.
My guess would be their system decided OP's measurements were unrealistic and adjusted them towards their more "typical" body shape.
I wouldn't give their system that much credit -- the belt OP received doesn't even fit the trousers.
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Re: Move Slow and Make Things
#80Earlier quoted context omitted.
> I sent in my measurements and they sent me a trouser with wrong measurements and a postcard that said that they adjusted my measurements with AI for a better fit That is nothing short of hilarious. The machine knows best! Who are you, human, to pretend you are able to measure yourself?! > AI for memorizing generic trends It's possible "AI" may be just a pretext to sell mass-made junk and pretend it is adjusted to e…
> 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 app…
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...