Ezra Klein: The Government Knows AGI is Coming

6 Comments

1. How do you know when a jew is lying? When his lips are moving.

2. “Smart cities” is the WEF’s terminology for the digital concentration camps they are planning for we ‘useless eaters’. People like Ezra Klein, Yuval Harari & others are paid to sell the inevitability of this future. It is not inevitable, but our destruction certainly is if we do not resist it.

   A whole genre of sci-fi exists as a warning of what will happen when we cease to be the smartest thing on earth. My favorite exploration of the issue was in Frank Herbert’s world of “Dune”.

   “As mankind spread throughout the known universe, technology advanced and eventually machines were made that would make decisions for people. This propelled the creators of these machines into a new technocratic class, effectively controlling the worlds of the common people. [we are here btw]

   Mankind eventually rebelled against these machines and their creators in a nigh-religious war that sought to retake the thinking soul of mankind from the gods of machine logic. After two generations of violence, humanity took pause. Following this, their gods and rituals were looked upon in a different, perhaps even jaded, light. Both were largely seen to be guilty of using fear as a means of control. Hesitantly, the leaders of religions began meeting to exchange views, and a new, central religious precept was defined, that man may never be replaced by a machine.“

3. There is one very fundamental difference with the atomic bomb and this AI thing (if what he says is true), this AI will not restricted to just a few state actors like nuclear weapons, everyone will end up getting it. It will not sit in just a few big server rooms owned by ZOG groups such as Palantir, Google and OpenAI, it will distributed to the entire world. This is both a bad and good thing, the bad part is obvious, the good part is that it will not allow jews to be able to use this weapon against Aryans, but we can use it against jews.

4. But is “AI” anything at all like the biological experience? It’s outcomes might simulate thinking, but it all comes from electrons falling through basically a self sorting Plinko Machine. Over twenty years ago before Bush Jr. sent the last of our manufacturing jobs over to China I used to operate a robot that populated circuit boards with all the chips, resistors, etc. onto a stenciled lead toothpaste that when baked through a fancy version of a domino’s conveyor belt pizza oven came out as a functioning board. The thing would go to within a twentieth of a millimeter in X Y Z and Theta axises, turn vacuum on and off, use cameras to center parts, to center the exact location of the board, etc. Was amazed at the time how advanced our tech was yet was the thing “alive” was it “aware” Nope, just electricity falling through a gigantic Rube Goldberg.

   I also think there is so much buzz over AI it is the perfect target for con men looking to run investment scams like that Theranos with the girl in the black turtleneck pimping some non existent blood test. I predict a whole bunch of scandals will emerge by grifters taking advantage of the urge by the rubes to invest in these new magic beans. And don’t let me get going on what a boondoggle it will turn out to be if the Federal Government takes our tax dollars and invests in into this Crypto Ponzi Scheme. The kind of thing that brings down a third world government. Big mistake if Trump uses our money to buy thin air. Stay away from something that at best is a medium of exchange for shady black market internet commerce, not an investment vehicle. Those Tulip Bulbs in Holland were a better investment because at least when the bubble burst you still got a flower.

5. Over at the basically defunct Daily Stormer, Anglin appears to be in full meltdown. Next step for him would probably be denouncing pro-White views as a guest on MSNBC with Racheal Maddow. He is a complete mess.

6. Years… it’s all a unit 8200 psyop as unit 8200 is the general intelligence behind current input-output algorithms iteration of Stuxnet… https://watchdocumentaries.com/zero-days/

   “ Deep-learning-based neural networks are all the rage right now and are useful in categorizing business problems. The applications of these technologies are useful, but the applications are quite narrow and specific, and require massive amounts of data to train the AI network.50 This deep-learning process results in trained systems still without any real meaning—even human babies demonstrate this. The AI might recognize the image of a dog but does not know what a dog is. Also, the current capabilities of quantum computers will not replace the classical computers that run our corporate or commercial infrastructure any time in the foreseeable future, if at all, because current quantum computers have no long-term memory.51 We believe that the failure of generalized AI is due to the assumption that the mind is a classical computation based on the brain, while source science assumes that our mind is most likely based on hyperdimensional quantum mechanisms.52 We distinguish the real intelligence (RI) and meaning exhibited by humans as fundamentally different than artificial intelligence (AI) and its classical assumptions.
   Thoughts and mind represent a big mystery in the fields of computer science and physics because generalized learning and even normal intelligence have not truly been reproduced by computer scientists or through use of physics principles.1 Genius, savant intelligence, awareness, and metaphysics behaviors are even more baffling from a classical physics and computational perspective. These supernormal behaviors happen everywhere and are obviously real,2 but no accepted classical scientific model exists that can account for them, so they are often dismissed out of hand. This chapter contains our list of requirements for a complete model of mind, which includes thoughts, thinking, attention, intention, knowing, and meaning. Later, we discuss these topics from an information perspective and also as topics distinct from the idea of consciousness.“~ Douglas J. Matzke, PhD, was born April 29, 1953, in Green Bay, Wisconsin. Dr. Matzke entered computer engineering and computer science more than fifty years ago, when he started programming in high school in 1968. In college, Dr. Matzke started researching the engineering aspects of metaphysics, because if psi exists, then physics must be expanded to comprehend it. He earned a bachelor’s degree from the University of Wisconsin in 1975 and a master’s degree from the University of Texas in 1980, both in electrical engineering, before earning a doctorate in quantum computing from the University of Texas in 2002. His master’s and doctorate theses were, respectively, Biofeedback Using Home Computers and Quantum Computing Using Geometric Algebra.

   From 1976 through 2001, Dr. Matzke worked at Texas Instruments, where he worked on design tools for semiconductor-based computers and helped create the “Lisp Chip,” a DARPA-funded chip that won the prestigious 1987 ISSCC Best Paper award for best chip of the year. After being promoted to TI Senior Member of the Technical Staff in 1990, he was chairman of PhysComp ’92 and PhysComp ’94, two Dallas workshops on physics and computation. He has published more than fifty papers and presentations throughout his career, most notably the lead-off article entitled “Will Physical Scalability Sabotage Performance Gains?” for the 1997 Computer Magazine special issue on Billion Transistor Processors.

   Starting in 2001, Dr. Matzke worked at Lawrence Technologies as principle investigator for $1 million SBIR contracts on quantum and neural computing. Overall, he received eight issued patents, including some on high-dimensional math-based neural networks and the intersection of quantum and correlithm neural computing. Since 2006, Dr. Matzke has been employed full-time creating advanced applications using the Python programming language.