The Image of the Beast
Revelation 13:14 And deceiveth them that dwell on the earth by the means of those miracles which he had power to do in the sight of the beast; saying to them that dwell on the earth, that they should make an image to the beast, which had the wound by a sword, and did live. (15) And he had power to give life unto the image of the beast, that the image of the beast should both speak, and cause that as many as would not worship the image of the beast should be killed.
If you are a first time reader, I suggest that you read Singularity and The Image of the Beast about man merging with machines and Genetic Armageddon about man’s DNA being altered. Together they show scientists are on the verge of creating a transhuman: a beast that is part human and part something else. Creating a transhuman is right on top of us!
I believe that tampering with the integrity of man is a KEY sign of the Second Coming of Jesus Christ. God will put a stop to this at His return. It appears from Revelation 13:15 that man will succeed in creating a transhuman, which the Bible calls “The Image of the Beast.” What I am posting is NOT science fiction.
From charting the advancement toward a transhuman being, it is possible to get an idea how close man is to God’s judgment. God must stop the creation of transhumans because these creatures are not created in His image and likeness; therefore, they cannot be redeemed through the gospel of Jesus Christ.
What I do in this blog is keep the reader on the cutting edge of technology advancements that are directly leading to the Image of the Beast. These advancements are reported under headings that include: Computer Brain, Digitized Mind, Robotic Body, Cyborg, Genetic Armageddon, Chimera, and Advanced Technology.
This blog is the complement to the “666 Surveillance System” which focuses on technological innovations leading to the rise of a government so repressive and controlling that it’s called a “Beast” state.
Revelation 22:20 He which testifieth these things saith, Surely I come quickly. Amen. Even so, come, Lord Jesus.
Vger with Decker, the Ilia probe, Kirk, Spock and McCoy
Artificial Intelligence (AI) is well known in a general sense to most people through science fiction movies. But what is it really, and how does it work? Does an artificially intelligent computer mean that it is sentient, that is, aware of itself? If not, what’s the difference between artificial intelligence and self-awareness? That’s just one of the topics we address in this post. (See the article “Kurzweill discusses…”, below.)
AI is all the rage; large corporations are pouring billions into creating computers that can recognize patterns and think for themselves. The first article below explains how they work (in layman’s language) and why pattern recognition is necessary for creation of a computer that can mimic human intelligence. If you read the excerpt printed here, you’ll have a basic understanding of AI.
As usual, much of the media focus is on what great things we can do with AI computers, how they’ll transform life and open entire new vistas to us. Yet what does that really mean? What about the down side? Google’s attempt to create a driverless car is one example of a thinking machine. But as one of the articles below notes, a car that drives itself might be more convenient and safe, but a car with its own ideas of where it’s going isn’t so desirable.
Prominent scientists like Stephen Hawking, Nick Bostron, Elton Musk, Lord Rees, and even Bill Gates all have sounded the alarm over the potential risk of AI, naming it as the biggest threat to humanity that they can foresee. Lord Rees, who once was head of the Royal Society, even founded the “Centre for the Study of Existential Risk” to deal with the AI threat, which Musk called, “summoning the demon.” Those Hollywood movies (from the original “Star Trek: The Motion Picture” with Vger, to the recent Ultron of “The Avengers”) which show sentient machines deciding that mankind is merely an inferior species to be eliminated aren’t necessarily all fantasy. But even if we never get to the point of having a Vger out to destroy the carbon-based infestation on planet Earth, there are more certain threats just around the corner because of AI.
Bible prophecy talks about a “Beast” system where everyone is controlled, where they are unable to buy, sell, or participate in economic or social life without being part of that system. While people have been looking at RFID chips and other technology which is becoming commonplace, the agenda has moved ahead with lightning speed. Yet very few have any idea how far it has advanced – and where it really is going, even though it is at the doorstep.
Below is a clip from a two hour interview Anthony Patch did with Basil and Gonz of Canary Cry Radio. We’d urge everyone to listen to it, and to tell everyone you know who will listen, about it. Mr. Patch talks about a computer which now exists which has AI, and the computing power of seven billion minds. In other words, it’s powerful enough to create a hive mind from everyone on the planet at this moment. He also gives some other startling revelations about the relation of this computer to CERN, to 3 strand DNA, and explains why this computer probably will be the basis for the Mark of the Beast, and possibly the Image of the Beast as well. It’s all coming together and the main pieces are in place. The Beast System may be on the doorstep, but Christ surely is at the door.
Artificial Intelligence (and how it works)
Rise of the machines (A simple explanation of how AI works and what it is) This excerpt may seem long, but it will give you a good working knowledge of AI, without reading the entire (very) much longer article. It’s an important topic, and this comparatively short primer will give you what you need.
“Signs of the AI boom are everywhere. Last year, Google was rumoured to have paid $400m for DeepMind, a London-based AI startup…Firms such as Narrative Science, in Chicago, which hopes to automate the writing of reports (and which is already used by Forbes, a business magazine, to cover basic financial stories)….On April 13th IBM announced plans to use a version of its Watson computer—which crushed two puny human champions at…Jeopardy! in 2011—to analyse health records, looking for medical insights.
Research into artificial intelligence is as old as computers themselves. Much of the current excitement concerns a subfield of it called “deep learning”, a modern refinement of “machine learning”, in which computers teach themselves tasks by crunching large sets of data. Algorithms created in this manner are a way of bridging a gap that bedevils all AI research: by and large, tasks that are hard for humans are easy for computers, and vice versa. The simplest computer can run rings around the brightest person when it comes to wading through complicated mathematical equations. At the same time, the most powerful computers have, in the past, struggled with things that people find trivial, such as recognising faces, decoding speech and identifying objects in images.
One way of understanding this is that for humans to do things they find difficult, such as solving differential equations, they have to write a set of formal rules. Turning those rules into a program is then pretty simple. For stuff human beings find easy, though, there is no similar need for explicit rules—and trying to create them can be hard. To take one famous example, adults can distinguish pornography from non-pornography. But describing how they do so is almost impossible, as Potter Stewart, an American Supreme Court judge, discovered in 1964. Frustrated by the difficulty of coming up with a legally watertight definition, he threw up his hands and wrote that, although he could not define porn in the abstract, “I know it when I see it.”
Machine learning is a way of getting computers to know things when they see them by producing for themselves the rules their programmers cannot specify. The machines do this with heavy-duty statistical analysis of lots and lots of data.
Many systems use an old and venerable piece of AI technology, the neural network, to develop the statistics that they need…[B]rains do their information processing not with transistors, but with neurons. If you could simulate those neurons—spindly, highly interlinked cells that pass electrochemical signals between themselves—then perhaps some sort of intelligent behaviour might emerge.
By working from the bottom up…machine-learning algorithms learn to recognise features, concepts and categories that humans understand but struggle to define in code.”
Pattern recognition algorithms allow for more human-like “intelligence” in computers
The dawn of artificial intelligence
“The first step is to understand what computers can now do and what they are likely to be able to do in the future. Thanks to the rise in processing power and the growing abundance of digitally available data, AI is enjoying a boom in its capabilities (see article). Today’s “deep learning” systems, by mimicking the layers of neurons in a human brain and crunching vast amounts of data, can teach themselves to perform some tasks, from pattern recognition to translation, almost as well as humans can. As a result, things that once called for a mind—from interpreting pictures to playing the video game “Frogger”—are now within the scope of computer programs.
Think of chess, which computers now play better than any person. The best players in the world are not machines however, but what Garry Kasparov, a grandmaster, calls “centaurs”: amalgamated teams of humans and algorithms. Such collectives will become the norm in all sorts of pursuits…image-classification algorithms will allow wearable computers to layer useful information onto people’s views of the real world.
Even in the short run, not all the consequences will be positive. Consider, for instance, the power that AI brings to the apparatus of state security, in both autocracies and democracies. The capacity to monitor billions of conversations and to pick out every citizen from the crowd by his voice or her face poses grave threats to liberty.”
AI superintelligence birthing itself
Futurist Kurzweil discusses acceleration of intelligent technology What’s the difference between an artificially intelligent machine and a sentient (self-aware) one? AI machines can learn more on their own, they can set and solve problems, but that doesn’t make them aware of their own existence as a separate entity. They aren’t self-consciousness like a person is, at least not yet. But that doesn’t mean they can’t be used to enslave mankind.
As this quote from Ray Kurzweil and the Anthony Patch interview makes clear, there’s a link between these nano-bots and adiabatic quantum computers (click link for definition page). That link is why, once someone accepts the Mark of the Beast, there’s no turning back. Listen to Canary Cry with Anthony Patch, below, for how this will work.
“Kurzweil said that human bodies and brains eventually will carry nano-bots, small devices the size of blood cells. “They will augment our immune system and keep us healthy. They’ll go into our brains and provide virtual and augmented reality. “My brain will get the signals (as if) it were in the virtual environment or the augmented environment. So we can have another person standing here and it would look just like she’s there, but it would actually be just kind of created in our nervous system.“And we will make our is better is a matter of interpretation. “Technology has always been a double edged sword. Fire kept us warm and cooked our food, but it also burned down our houses,” said Kurzweil.”
Does Artificial Intelligence Pose a Threat? Artificial intelligence has long been a staple in sci-fi films, but today, with the vastness of the internet and the huge advances made in the ability of computers to understand and to learn, it has become reality.
“[D]ramatic advances [have been made] in machines’ ability to understand spoken and visual communications, capabilities that fall under the heading “narrow” artificial intelligence. Can machines capable of autonomous reasoning—so-called general AI—be far behind? And at that point, what’s to keep them from improving themselves until they have no need for humanity?
How realistic are such concerns? And how urgent? We assembled a panel of experts from industry, research and policy-making to consider the dangers—if any—that lie ahead.
These are as much questions about today’s world, [about how we regulate] autonomous individuals and groups with independent goals, as they are about a future world with machine intelligence.”
Canary Cry Radio clip with Anthony Patch on AI, Adiabatic quantum computers and the Luciferian agenda We’d strongly urge anyone reading this post to take time to listen to this clip from Canary Cry Radio with Anthony Patch He has spent the last several years intensively researching CERN, adiabatic quantum computers and 3 strand DNA, among other things, as a lay physicist. He is a Christian and has a biblical perspective, yet his analysis is strictly science-based. He merely takes the scientific conclusions he reaches, and looks at them in light of prophecy. While we don’t necessarily agree with all of his statements. overall his work is exceptional and follows what we’ve seen coming. For those interested in learning more or in hearing the entire interview, Anthony Patch’s website and that of Canary Cry Radio can be found by following the links.
Revelation 14:9-11 … If any man worship the beast and his image, and receive his mark in his forehead, or in his hand, The same shall drink of the wine of the wrath of God, which is poured out without mixture into the cup of his indignation; and he shall be tormented with fire and brimstone in the presence of the holy angels, and in the presence of the Lamb: And the smoke of their torment ascendeth up for ever and ever: and they have no rest day nor night, who worship the beast and his image, and whosoever receiveth the mark of his name.