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Link for those who don’t get the Silicon Valley reference
Absolutely not. Croissants are toast, or more specifically, muffins.
A bearclaw is a calzone.
angry Ben Wyatt sounds
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A toastassant.
Toassant*.
Toastussy
Croissants are butter scones, which basically makes them American biscuits!
Jin Yaaaaaaaaang!
Silicon Valley will build an AI system to solve cancer and use it just to show you more ads under your eyelids.
Why take the effort to dream when you can see the latest deals all night long for just 1.99$ a month! (unsubscription requires a small one time payment of 500$. original eyelids can be bought back separately)
In case it wasn’t clear, the title is referring to the show of the same name, not the region/tech culture.
Since you don’t quite understand: the show is an accurate parody of the real phenomenon.
I’m quite aware. But the show literal has a story arc about a program made to distinguish photos of food that ends up used for…something else, let’s say.
they are probably talking about skin cancer. that application was probably one the first things that came out of conv networks, by now it is so main stream you can probably give it as an exercise in an AI tutorial
Yup, machine learning 101 we built a neural net to identify breast cancer. Non story.
Was people mistaking bears for baked good a common enough problem that it required an AI driven solution?
Edit: wait waaaaaait. Bear Claws are also a type of baked good.
Edit: wait waaaaaait. Bear Claws are also a type of baked good.
Yes! And they’re delicious.
How does this even get discovered? Like they’re pointing a camera at a croissant and the AI says “I don’t know what that bread based food is but the guy holding it has melanoma”. I just can’t figure out how those two tests overlapped at all.
They likely changed the
modelAI and did some additional training on cancer data. The first thing you do in machine learning 101 is builda neural networkan AI that can identify breast cancer. This is such a non story meant to mislead those who are not aware of how it works.You realize most people are not aware of how it works, right?
Why else would I leave a comment explaining it? I did not mean to be condescending and hoped it was obvious my annoyance was at the article.
I would imagine once it gets good at distinguishing things like various kinds of baked goods (which is actually really tough, I’d imagine), then you start exploring what other challenges it can solve.
I’m guessing something to do with either yeast or protein.
A guy/gal who studies cancer cells went to a bakery in Japan. (S)he quickly went, “if that computer can tell all these baked goods apart…”
I read an article about ages back.
“Shoot for the waste basket, if you miss you might land on the stars”
There I fixed it for you
Does anyone has a link to the original news ? Is that real ?
It’s real but not actually worth the headline. AI picks up patterns in data and they just changed the data to be cancer data. One of the first things you do in machine learning class.
Not hotdog
Why did they even think of trying to show it images of cancer cells?
Oopsy Doopsy…
the Japanese for ya
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Well that’s your opinion
What do you think this is, KSP?
