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originally posted by: Realtruth
The assumption that we are not already in an AI generated reality, isn't far fetched.
We just don't know, nor have the capacity to process it.
I've said, AI will drive the human species to extinction.
originally posted by: roadgravel
When a human can no longer use logic and their own mind to deduce the truth then this could be an issue.
Given that and the mental state of many people today, it most likely will be an issue soon.
The few sane people will be surrounded by idiocracy.
originally posted by: 3n19m470
a reply to: neoholographic
Why does "the universe" care about our data? Isnt like 90% of it just porn anyway?
Ohh...
Oh![i/] *higher pitched double take*
OHH... *and the deeper pitched, extended intonation triple take*
originally posted by: 3n19m470
a reply to: neoholographic
Why does "the universe" care about our data? Isnt like 90% of it just porn anyway?
Ohh...
Oh![i/] *higher pitched double take*
OHH... *and the deeper pitched, extended intonation triple take*
Speaking of overall usage of the free porn streaming website, Pornhub reckons that 1,892 petabytes of bandwidth was used during 2015, which reportedly translates to around 75GBs of streaming per second.
Wrap your mind around that — that it is a lot of gigabytes. According to Pornhub, this is enough data to fill the storage capabilities of approximately 175 million 16GB iPhones.
Turning to the number of hours spent on Pornhub, they reckon 4.3 billion hours were spent watching porn on the popular website, which they claim is “two and a half times longer than homo sapiens have been on Earth”.
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. This is worth re-reading! While it’s almost impossible to wrap your mind around these numbers, I gathered together some of my favorite stats to help illustrate some of the ways we create these colossal amounts of data every single day.
Our current love affair with social media certainly fuels data creation. According to Domo’s Data Never Sleeps 5.0 report, these are numbers generated every minute of the 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
1.5 billion people are active on Facebook daily
Europe has more than 307 million people on Facebook
There are five new Facebook profiles created every second!
More than 300 million photos get uploaded per day
Every minute there are 510,000 comments posted and 293,000 statuses updated
Every minute:
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: UpIsNowDown
When reading the article at The Verge about the photos, it does not make clear if the images are made completley or if it is altering actual images which then are classed as "new fabricated examples" it could just be airbrushing out a few wrinkles or maybe moving eyes further apart or is it actually making the whole photo background included?
originally posted by: riiver
Well, this explains a couple of the frequent posters in the political threads here...
Seriously, though--that is absolutely the most frightening thing I have ever read. If this is true, how will we ever, ever know what's real and what's not, what's truth and what's a lie, again? Terrifying on so many levels.
China wants to become the world leader in artificial intelligence (AI) by 2030, and President Donald Trump is taking the necessary steps to ensure that won’t happen.
Last week, the president signed an executive order, the American AI Initiative, that will accelerate America’s pursuit of the sophisticated AI capabilities necessary to maintain our military and economic dominance.
Google's machine learning artificial intelligence software has learned to replicate itself for the first time.
The firm first revealed its AutoML project in May - an AI designed to help the firm create other AIs.
Now, AutoML has outdone human engineers by building machine-learning software that's more efficient and powerful than the top human-designed systems.
The achievement marks the next big step for the AI industry, in which development is automated as the software becomes too complex for humans to understand.
Reproduction, self-replication and the process of natural selection are most often things we associate with living organisms and how they naturally evolve. In fact, being able to reproduce is one of the defining aspects of a living organism. In evolutionary terms, natural selection involves passing on desirable traits — often ones that aid in the survival of an organism — on to following generations. Some of these functions may over time become part of an array of inborn, autonomic responses, which kick in from the moment of birth on — such as breathing air, opening one’s eyes or eliminating waste.
But what if an artificially intelligent system could also do the same thing — replicate itself and automatically learn successful traits gleaned from previous generations — much like a living organism would? AI developed in this way would be capable of improving itself gradually and continually, without needing to be trained from scratch each time. That’s the thought-provoking premise behind an interesting set of experiments outlined in a recent study done by Oscar Chang and Hod Lipson, two researchers from Columbia University.
AI will soon become capable of self-replication—of learning from and creating itself in its own image. What currently keeps AI from learning “too fast” and spiraling out of control is that it requires a vast amount of data on which to be trained. To train a deep-learning algorithm to recognize a cat with a cat-fancier’s level of expertise, you first must feed it tens or even hundreds of thousands of images of felines, capturing a huge amount of variation in size, shape, texture, lighting, and orientation. It would be much more efficient if, like a person, an algorithm could develop an idea about what makes a cat a cat from fewer examples, just as we humans don’t need to see 10,000 cats to recognize one sauntering down the street.
A Boston-based startup, Gamalon, has pioneered a technique it calls “Bayesian program synthesis” to build algorithms capable of learning from fewer examples. A probabilistic program can determine, for instance, that it’s highly probable that cats have ears, whiskers, and tails. As further examples are provided, the code behind the model is rewritten, and the probabilities tweaked. At a certain point, the AI program takes over, and models are created on their own. In other words, it is learning how to teach itself instead of us needing to teach it.
Seagate today announced the publication of a major analysis of trends in a study by IDC titled Data Age 2025 — which predicts worldwide data creation will grow to an enormous 163 zettabytes (ZB) by 2025. That’s ten times the amount of data produced in 2017.
originally posted by: riiver
Seriously, though--that is absolutely the most frightening thing I have ever read. If this is true, how will we ever, ever know what's real and what's not, what's truth and what's a lie, again? Terrifying on so many levels.
AI will grow exponentially fast when someone creates a simple algorithm that will allow AI to Reproduce and create more intelligent versions of itself. At that point, Evolution will kick in and for all intents and purposes, AI will be a separate species.
originally posted by: fluff007
a reply to: neoholographic
AI will grow exponentially fast when someone creates a simple algorithm that will allow AI to Reproduce and create more intelligent versions of itself. At that point, Evolution will kick in and for all intents and purposes, AI will be a separate species.
Parts of AI can be useful to humanity. An AI left to grow in intelligence exponentially is not useful and I agree it will destroy our species...
When AI becomes super intelligent, even the 'smartest' people on our planet will not be able to conceptualize or comprehend its concepts and what it says. It will become a 'God' of sorts so to speak. BAd bad idea!!
What worries me most is that they may be much much further on with AI than they are allowing the public to know. Dodgy disturbing stuff....
originally posted by: Realtruth
The assumption that we are not already in an AI generated reality, isn't far fetched.
We just don't know, nor have the capacity to process it.
originally posted by: neoholographic
a reply to: Malak777
You said:
You are frightened. Yes, I was more frightened when they built a Hydrogen Bomb and modern chemical warfare agents long before the computer came along.
If you were more frightened then, that's nuts.
We're creating an autonomous intelligence. People are under the illusion that AI is programmed as to what to learn. No, programmers just give it a data set and it learns how to play things like Poker or Atari games on it's own. Just like we give Children data sets in school and they learn on their own.
When AI can create a smarter version of itself every minute or every second, how will you stop the exponential growth of intelligence?
I don't think people understand, this is Evolution. The organisms that survive are the one whose traits win out in the environment. In an environment of big data, you do you think wins out between human and AI?