all 9 comments

[–]Tiwaking 6 insightful - 3 fun6 insightful - 2 fun7 insightful - 3 fun -  (0 children)

This would be really useful for generating some non-existent business partners for a fake company

[–]Zapped 6 insightful - 2 fun6 insightful - 1 fun7 insightful - 2 fun -  (0 children)

Looks like it sometimes has trouble with eyeglasses. Also, if anyone else is in the photo, they come out as a mutant. I refreshed enough to come back around to a photo I had seen earlier in the round. She had the same hairstyle, but a different face.

[–]trident765[S] 5 insightful - 3 fun5 insightful - 2 fun6 insightful - 3 fun -  (1 child)

[–]JasonCarswell 4 insightful - 5 fun4 insightful - 4 fun5 insightful - 5 fun -  (0 children)

Not sure if that A.I. is racist.

[–][deleted] 4 insightful - 5 fun4 insightful - 4 fun5 insightful - 5 fun -  (0 children)

[–]Optimus85 4 insightful - 4 fun4 insightful - 3 fun5 insightful - 4 fun -  (2 children)

[–]Zapped 2 insightful - 2 fun2 insightful - 1 fun3 insightful - 2 fun -  (1 child)

Are those teeth in his collar?

[–]Optimus85 1 insightful - 1 fun1 insightful - 0 fun2 insightful - 1 fun -  (0 children)

Yikes!!!

[–]zyxzevn 4 insightful - 1 fun4 insightful - 0 fun5 insightful - 1 fun -  (0 children)

AI is just like statistics.
With some help AI can determine the important features in the data.
Usually expressed in vectors (or matrices or Tensors). Using vectors for ease.
Using these vectors , the AI can recognize one of these feature by looking
for the vectors that is closest to the data.
And in reverse it can generate data by combining random vectors.

In research, they found out that good statistics is generally better than AI.
Namely, with good statistics you can work more on the vectors that you are using.
Whereas AI can just make up random vectors that make no sense, just because it fits the dataset.