![](\"https:\/\/upload.wikimedia.org\/wikipedia\/commons\/1\/17\/Faust_image_19thcentury.jpg\")
<\/a>The first kind of knowledge is essential. The second kind is helpful for daily life. However, without its mooring in the first kind, its effects can be harmful. In our age, Being is largely forgotten, so all that remains is subjective, intuitive, and psychological experience; in other words, only the appearance matters, not its source. The obvious consequence is that it may be possible to create the experiences while dispensing with any underlying reality. This is an exploration of recent technologies in that direction.<\/p>\n
Image Recognition<\/h2>\n
Image recognition capabilities have dramatically improved. There are web sites that will analyze an image file and return matching pictures on the Internet, even including the URL of the web site:<\/p>\n
Pimeyes: Reverse Image Search<\/strong><\/a> which describes itself:<\/p>\n \nThe first action you take after entering our website is to upload a photo and perform a search. We work hard on providing you the best results containing your face. We sort the results by their resemblance to the searched photo.<\/strong> The ones that most resemble it should be displayed at the top, but sometimes you can find yourself in the middle of the list or even at the end of it. You can help yourself narrow down the results by using filters.\n<\/p><\/blockquote>\n Tineye: Reverse Image Search<\/strong><\/a>.<\/p>\n \nUsing TinEye, you can search by image or perform what we call a reverse image search. You can do that by uploading an image or searching by URL. You can also simply drag and drop your images to start your search. TinEye constantly crawls the web and adds images to its index. Today, the TinEye index is over 49.6 billion images.\n<\/p><\/blockquote>\n One use of these products is image copyright protection. Another one is to recognize and even track down people through their pictures. Of course, once you upload a photo, it becomes a permanent part of their databases.<\/p>\n Note the pricing plans for Primeyes. Who needs to do 25 daily searches? Someone somewhere may be trying to track you down. If you have naked pictures of yourself online, even anonymously, these reverse searches may be able to match you. For now, they are not allowed to mine pictures from facebook and Instagram.<\/p>\n The next level of technology is the creation of human like images that may be difficult to distinguish from a real human face. Check this out:<\/p>\n This Person Does Not Exist<\/a> for examples.<\/p>\n It uses a technology called StyleGAN. GAN stands for Generative Adversarial Network technology. Using neural networks, the image creator sends an image to an image recognition processor, which also uses neural networks. This \u201ccontest\u201d helps train each of the adversaries to improve. You can play the part of the image recognizer by visiting this web site:<\/p>\n Which face is real: <\/a> to test your own skills. Try 10 and see how you do.<\/p>\n After the creation of fake images, the next step is artificial language creation and recognition. GPT-3 is the third and current version of the Generative Pre-trained Transformer. This algorithm is clearly a work in progress. You probably have experienced it already with automated call centers and chat boxes. They are as annoying as heck.<\/p>\n Nevertheless, they can work for a time. For all you know, some of your twitter friends may be bots. This possibility was anticipated 70 years ago by one of the founders of computer theory. Alan Turing wrote a paper on the so-called Turing Test<\/strong><\/a>, that will be able to distinguish artificially generated conversation from a human. He wrote in 1950:<\/p>\n \nI PROPOSE to consider the question, \u2018Can machines think?\u2019 This should Text alone is one thing. The next challenge is to create human like conversation. At the end of this post, you will find a youtube video of two artificially generated humanoids communicating in a human-like fashion.<\/p>\n There is a metaphysical difference between natural kinds and artifacts. A natural kind has existence for-itself; that is, it has a central organization, i.e., a suppositum<\/em>, and exists in the Divine Intellect. An artifact does not exist for-itself, since its unifying principle is created by a human mind. It has no divine essence,<\/p>\n The conclusion is that robots, barring some machine-human hybrid, will never have an interiority. Nevertheless, people can become attached to the appearance, not the reality, of a robot, for reasons given above. Proof of this are movies like AI or ET, in which viewers get emotionally involved with images on a screen. These movies are tests to determine the extent to which people can be emotionally manipulated.<\/p>\n There is a common belief among the semi-educated that the human brain follows rules, or executes a computer algorithm. But rules don\u2019t do anything on their own; who or what follows the rules or algorithm? The artificial creations described simply \u201care\u201d the algorithms, there is not \u201cself\u201d there, despite appearances.<\/p>\n Two AIs talk about becoming human: The artificial creation of human-like life has been a pre-occupation: from the golem of Hebrew folklore, to the homunculus of the alchemists, Frankenstein\u2019s monster, and more recently, the androids and robots of science fiction. Continue reading Image Creation<\/h2>\n
Images Conversing<\/h2>\n
\nbegin with definitions of the meaning of the terms \u2018machine\u2019 and
\n\u2018think\u2019. We may hope that machines will eventually compete with men in all purely intellectual fields. We can only see a short distance ahead, but we can see plenty there that needs to be done.\n<\/p><\/blockquote>\nArtifacts and Natural Kinds<\/h2>\n
Homunculus Fallacy<\/h2>\n
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\n[youtube “https:\/\/www.youtube.com\/watch?v=jz78fSnBG0s”]<\/p>\n","protected":false},"excerpt":{"rendered":"