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originally posted by: neoholographic
a reply to: dug88
You said:
Computers are not intelligent, they do not make decisions. They follow instructions that operate on data stored in memory. This along with just about every other article like this are nothing but clickbait.
This makes no sense.
The reason we have AI is to look at large data sets and come to conclusions we that we can't because of human noise.
So we can't instruct AI because we don't understand the data sets we're looking at so the system has to learn without instruction.
I don't know why this is so hard for some people to grasp. These machines are intelligent. This is the whole point. They have to be able to learn what we can't.
How much data?
The amount of data we produce every day is truly mind-boggling. There are 2.5 quintillion bytes of data created each day at our current pace, but that pace is only accelerating with the growth of the Internet of Things (IoT). Over the last two years alone 90 percent of the data in the world was generated.
link
We can't give AI instructions to learn about all of this data. We can give it goals but we can't instruct it how to learn.
This is the point of AI. So when people say AI is just following instructions it's just SILLY.
For instance, an AI learned how to play poker. It was just given a goal to win at poker. The Professor just gave it the rules on how to play the game. The system played billions of games against itself and learned how to play. Researchers call this reinforcement learning. It's the same way we learn just with more data.
The Professor didn't teach it how or when to bluff or what strategies it uses to win.
Neural networks are good at using all of the context in a picture to figure out what it shows. For example, cars usually appear on roads. Dresses usually appear either on women's bodies or hanging in closets. Airplanes either appear framed against a blue sky or taxiing on a runway. Nobody explicitly teaches neural networks these correlations, but with enough labeled examples the network can learn them automatically.
More than 3.7 billion humans use the internet (that’s a growth rate of 7.5 percent over 2016).
On average, Google now processes more than 40,000 searches EVERY second (3.5 billion searches per day)!
While 77% of searches are conducted on Google, it would be remiss not to remember other search engines are also contributing to our daily data generation. Worldwide there are 5 billion searches a day.
Snapchat users share 527,760 photos
More than 120 professionals join LinkedIn
Users watch 4,146,600 YouTube videos
456,000 tweets are sent on Twitter
Instagram users post 46,740 photos
We send 16 million text messages
There are 990,000 Tinder swipes
156 million emails are sent; worldwide it is expected that there will be 9 billion email users by 2019
15,000 GIFs are sent via Facebook messenger
Every minute there are 103,447,520 spam emails sent
There are 154,200 calls on Skype
originally posted by: dug88
a reply to: neoholographic
Ok....Hmmm well for starters...that's some pretty clickbait title right there...
Second here's a github link to a Python implementation of the CycleGAN project. It includes full source code and a link to another github page explaining how it works. And the original published CycleGAN paper which explains that it is in fact working as intended.
Here's a pretty good discussion thread on hacker news from a couple days ago on the same article.
Also, here's a pretty good overview about how image recognition with neural networks works.
arstechnica.com...
Computers are not intelligent, they do not make decisions. They follow instructions that operate on data stored in memory. This along with just about every other article like this are nothing but clickbait.
originally posted by: 3n19m470
originally posted by: dug88
a reply to: neoholographic
Ok....Hmmm well for starters...that's some pretty clickbait title right there...
Second here's a github link to a Python implementation of the CycleGAN project. It includes full source code and a link to another github page explaining how it works. And the original published CycleGAN paper which explains that it is in fact working as intended.
Here's a pretty good discussion thread on hacker news from a couple days ago on the same article.
Also, here's a pretty good overview about how image recognition with neural networks works.
arstechnica.com...
Computers are not intelligent, they do not make decisions. They follow instructions that operate on data stored in memory. This along with just about every other article like this are nothing but clickbait.
Ok. So technically, it doesn't fit the required parameters to be referred to as "intelligence" in academic, scientific circles...
But, if it behaves just like intelligence, do the semantics really matter at this point? The machines are hiding things from the humans. They didn't JUST cheat. They cheated and then hid the evidence of their cheating...
originally posted by: AnsemxThexWisex
I wouldn't class this as "intelligence" but then I guess that wholly depends on what you define as intelligence sooo... Considering my lack of knowledge in this area I can't really add much beyond the fact the computer does seem to be using a method of steganography as mentioned by someone from the discussion board linked by dug88, which is itself defined as a method of conceallng something within something else. I doubt this was used as a form of "cheating" as there was unlikely any programming preventing this, meaning (in my understanding) it was doing what it was told, not acting with the intention of deceit. It does still seems odd to me for a computer to choose this method (maybe because my brains given up on this one srry)
Interesting nonetheless & certainly inspired me to delve into the inner-dynamics of computing so cheers to you friend
originally posted by: roadgravel
After all these decades of computers, why haven't they just taken over?
originally posted by: roadgravel
After all these decades of computers, why haven't they just taken over?