A.I. is Progressing Faster Than You Think!

Key Takeaways

[Music] you are watching cold fusion [Music] TV hi welcome to another cold fusion video at the end of last year I made a video about five new technologies which most people didn't expect to exist the episode included an AI that could look at a static image and dream up a video of what it thought would happen in the next few seconds yes it creat a video from a still image I went on to describe another AI that could guess what's happening in a scene just by listening to the audio it was consistently better than humans at doing this in the same video I talked about yet another AI that can predict human behavior with training only from watching sitcoms if you haven't seen this video yet you're missing out the link to the video will be the first one in the description today we'll be looking at another interesting AI imagine typing a descriptive sentence of a scene and having an artificial intelligence generate a convincing photorealistic image just from your text input this has just been created and it's what we'll be taking a look at today after this I'll share some of my wider thoughts on artificial intelligence let's get straight into [Music] it before we dive straight into the AI we need to build a bit of context the type of AI that we're about to look at is called a neural network that's basically a Computing system that's modeled after the human brain there are processing noes that act as neurons and the neuron layers behave as segments of the brain this concept and idea is nothing new and has been around since the 1980s but it's only become feasible in The Last 5 Years due to gpus with hundreds of cores being cheap and accessible in addition to this the available open- Source tools for neural networks are making it easier to create pushing progress parabolically faster so some examples of neural networks include Google's Alpha go and also things like this an AI That's capable of describing images in text form another interesting example of neural networks is wavenet an AI that can generate raw sounds such as speech and music here are some examples this first example is speech generated by wavenet with a Twist wavenet wasn't specified what to say so it had to make up its own language notice the breathing and natural lip sounds this next clip is some music that wet generated again it wasn't told what to play there was no musical score it just played whatever it wanted for this piece wavenet was trained by listening to classical music [Music] pieces so this is great but what if you want to take things further what if we combine two neural networks together and made them compete against each other so that they could train and improve themselves without human intervention that's what our featured AI called statan is doing it uses one neural network to generate images and another neural network within the same system to decide if the images generated are real or fake what ends up happening is that the generative neural network improves itself generating images based on the feedback given by the deciding Network and in the same stride the deciding nwor work gets better at distinguishing what's real and fake this creates a feedback loop of continuous Improvement without human intervention the end process of this is a creation of a low resolution synthesized image after this a second stage takes place in the second stage the AI is told to clean up any defects in the original picture and the results are nothing short of stunning yes what you're looking at are images created just by a written text description this type of dual network AI is called a generative adversarial Network and it's the same type of system that allowed the AI mentioned in my previous video to dream up those videos when shown a still image this form of artificial intelligence is actually brand new and was only invented in 2014 and already I'm beginning to think that this is one of the most powerful methods for machine learning the text to image AI comes hot on the heels of an artificial intelligence from carigi melan University beating the world's best players of Texas hold and poker I remember some people commenting on my Deep Mind video telling me that this exact event was something that artificial intelligence has been struggling with for some time there's also an AI that's been released by gamalon a Boston company this one can rewrite its own code based on experience and probabilities rather than hard variables its creators say that it could make the tedious part of coding AI completely automatic [Music] to give you an idea how fast some areas of AI are progressing here's a clip of Jeff de a senior fellow at Google's research group giving a presentation at a TED talk to take an example the field of computer vision every year there's a contest where uh teams compete to see who can give the right categories out of a thousand different categories when given an image and in 2011 before people were using Nur Nets um the winning team got an error rate of 26% which doesn't sound too good when you think that humans are at 5% on this task but fast forward five just 5 Years and we're now at 3% errors using deep learning and much more computational power we're actually better than humans on this task so in a way computers can now see and recognize objects better than us for the first time ever this has never happened before in the same talk he goes in to give an example of how unreliable human op op ologists were for diagnosing certain eye diseases in experiments any two human opthalmologists will only agree with each other's diagnosis 60% of the time and what's worse if you give any single opthalmologist the exact same image that they diagnosed a few hours earlier they'll only agree with themselves 65% of the time in 2017 artificial intelligence image recognition has been proven to perform better than professional humans in this field as you've seen in this video things are progressing fast and may have taken some of you by surprise even the president of alphabet Sergey Brin is being taken by surprise by the entire phenomena of AI in general AI effort but I didn't pay attention to it at all to be perfectly honest and uh you know myself having been trained as a computer scientist in the 9s everybody knew AI didn't work it's not like you know people tried it they tried neuron Nets none of them worked out about yeah this uh kind of revolution in deep Nets has been very profound and definitely surprised me even though I was like right in there um it's an incredible time and uh and it's very hard to forecast uh you know what can these things do uh we don't really know the limits everything we can imagine and more um it's a hard thing to think through and has really incredible possibilities it seems like playtime is over in regards to AI especially with techniques like deep learning and neural networks I think such things will cause social discomfort as they begin to encroach upon jobs there's definitely both positives and negatives to this though but the question is what does all of this mean and what are we to do with all of these continual shifts in what we thought was possible in a general sense artificial intelligence can be seen as a continuation of the Industrial Revolution happening over the past 200 years even right now artificial intelligence is helping in the medical field and making driving and other risky tasks safer hi start talking about is that's question I think I think Chris that just saved my in the future many mundane tasks can be handled by AI giving more free time for people to do creative things but of course and I've heard this argument before not everyone is creative life needs to have meaning and for some individuals that meaning comes in the form of their day-to-day 9to 5 job I've been thinking about making a video about possible Financial Solutions to AI disruption this includes Concepts such as universal basic income based on blockchain technology and insights into how some researchers are starting to think about such things now of course there's some of you going to be thinking of a Skynet scenario but right now it's still far too early to predict predicting the fully developed AI of the future would be like trying to predict today's computer industry from the point of view of the 1960s personally I think what we should actually be worried about is who controls the AI if the strong artificial intelligence of the future is open source and available to everyone there's a high probability that this will be a good thing here's a small example of an open source AI being put to good use a farmer in Japan used AI computer vision and Robotics to enable his cucumbers to be automatically selected and categorized saving him hundreds of hours the artificial intelligence driving his farm is called tensorflow and it's open source and was created by Google maybe in the future instead of working for a company it will be more common for people to run their own businesses with their own personal AI acting as a productivity Aid so that's an example of Open Source AI being used in a good way but conversely if some of the best AI in the world is held in the hands of a few the probability of a good outcome overall drops significantly in the latter case it may be a case of whoever owns the AI makes the rules to stop AI getting into the wrong hands and to stop it becoming dangerous institutions such as the future of Life Institute have been set up it has tens of millions of dollars in funding and shows that people already thinking about the next best steps for the future so that's pretty much the end of this video and I'm going to hand ball it to you guys what do you think of the progress being made by AI in the past few years leave your thoughts in the comment section below anyway thanks for watching guys this has been deogo you've been watching cold fusion subscribe to this channel if you just stumbled across it don't forget to check out my other video on the five new technologies that you wouldn't think to exist yet and of course I'll see you again soon for the next video cheers guys have a good one [Music] [Music] you stand [Music] be I this way girl [Music]