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New York: I boarded a plane to Boston to find Doctor John Trump of the Massachusetts Institute of Technology. Doctor Trump, now retired from High Voltage Engineering, agreed to meet at the company office the next morning. Carl T. Compton, then president of MIT, asked me in 1943 to go to New York and examine the effects of Nikola Tesla. These were contained in an upper floor of a warehouse in New York City. I spent time examining papers, books, and memorials Tesla had accumulated, searching for evidence of a secret weapon of concern to the United States. I found letters directed at the upper echelons of the British Empire and to the czar of Russia, explaining that Tesla was the inventor of a secret weapon and that he would be interested in negotiating a disclosure. I looked for the nature of the secret weapon and, while I had an idea of its properties, I did not find in Tesla’s technical papers an explanation of how such a device could operate. It had the capability of acting at a great distance and being destructive to flying objects at a remote location. I also opened another box, supposedly a secret weapon Tesla left at a hotel. When I concluded my study, one of the agents reminded me there was a box held as security for an unpaid obligation, an item of considerable value that might itself be the secret weapon. We went to the hotel, the assistant manager led us to a room containing a steel cabinet. The cabinet was opened, revealing a rectangular box wrapped in brown paper on a lower shelf. It turned out to be a highly polished box with brass clasps, resembling an instrument case, kept there for about five years as security. I opened it; it was a decade resistance box, manufactured by an American maker, of value but not of great significance or ominous nature. So, after Tesla let the world know of his secret weapon and wrote letters to the King of England and to the Tsar of Russia offering them this weapon during World War II, no evidence or papers referred to any such secret weapon. My report to Compton was that I saw no danger in releasing these papers and relics to Tesla’s heirs. Miss Musar arrived too late to know who opened Tesla’s safe or what had been removed. Tesla had been a naturalized American citizen for fifty-four years, so why were his papers seized by agents of the custodian of alien property? I suspect that governments other than the United States, England, and Russia were interested in Tesla’s inventions.

The Enigma machine is presented as one of the most famous cipher devices in World War II, demonstrated here with an original army Enigma from 1936. It works by using three rotors with crisscross wiring inside, plus a plugboard on the front. When a key is pressed, the rotors turn in a stepped fashion, so a fast rotor advances the middle rotor, which in turn advances the left rotor, creating a continuously changing circuit. The basic circuit is a battery, a light bulb, and wires that move as the rotors turn, causing the connected bulb to light in a different pattern each time. The machine’s encoding relies on several components: - Rotors: three rotors chosen from a box of five, giving 5 × 4 × 3 = 60 possible rotor combinations for the three positions. - Starting positions: each rotor has 26 possible starting positions, yielding 26 × 26 × 26 = 17,576 possible initial settings. - Plugboard: a front “patchboard” with 10 wiring pairs that swap ten pairs of letters, adding a large additional layer of scrambling. This drastically increases the total number of possible settings. The total number of ways to set up an Army Enigma is calculated as 26! with the plugboard constraints applied, resulting in a staggering total of 150,738,274,937,250 possible plugboard configurations. When combined with rotor choices and starting positions, the overall key space becomes 158 quintillion, 962 quadrillion, 555 trillion, 217 billion, 826 million, 360 thousand, and more. Operationally, the Germans used daily or monthly settings to ensure both sender and receiver used the same configuration. The three-rotor setting and plugboard configuration had to be identical on both ends. These settings were written on sheets of paper — one for each day of the month — and could be printed with soluble ink so that, if captured or sunk, the book could be degraded but still serve as a secret. If you had both the Enigma machine and the daily code sheet, you could decode all messages; without the code sheet, cryptanalysis and math were required. The process illustrated for encoding a message involves selecting the day’s settings, typing a plaintext letter (e.g., n, which becomes y in the example), and observing how subsequent letters map through the rotating rotors and plugboard. The conversation also notes why the Germans believed Enigma was unbreakable: the same letter could encode to different letters on different keystrokes, unlike earlier pen-and-paper ciphers.

Speaker 0: Why did you believe that modeling it off the brain was a more effective approach? Speaker 1: It wasn't just me believed it. Early on, von Neumann believed it and Turing believed it. And if either of those had lived, I think AI would have had a very different history, but they both died young. Speaker 0: You think AI would have been here sooner? Speaker 1: I think neural net, the neural net approach would have been accepted much sooner if either of them had lived.

"AI was not invented. It was resurrected." "The timeline proves this, where in 1943 the paper was written explaining AI to a t without having any computer science background at all, where their paper comes thirteen years before neural networks became usable in computing." "Sage system took in real time radar data from over a 100 radar stations across North America, analyzed it with massive central computers, made automated decisions about whether a target was friendly or hostile and gave suggested responses." "Sage also network across multiple regions connected by long range telephone data lines, or the Internet." "Sage Systems online with screen interaction." "The official narrative says nothing about this." "RAND was invested in predictive modeling, logic networks, and game theory." "Sage had Internet. They had AI. They had iPads." "Patents are admission points to the public eye."

The speaker explains that the system consists of computers, machines, and software. The machines function like thumbs, handling the ballots and envelopes. The computers, whether hardware or software, are responsible for executing instructions and providing answers. The speaker emphasizes the importance of the program's setup, execution, and verification to ensure accurate results. Additionally, they mention the significance of the input provided to the system.

The speaker argues that AI was not invented but resurrected and back-engineered, with a reset in humanity’s timeline around the 1920s that reintroduced artificial intelligence to the world. They claim an ancient advanced civilization existed before the current one, and that the early 20th century saw excavations in Egypt beneath the Sphinx, which the speaker says contradicts Zahi Hawass and the Egyptian Supreme Council of Antiquities, who allegedly state there is nothing beneath the Sphinx. The Serapeum of Saqqara is described as holding massive tombs for giants, which the speaker contends were misrepresented as empty or for bulls, with hieroglyphs resembling circuitry and artifacts vanishing into private collections shipped to Europe and the US without public records. Seismic scans from 1991 allegedly revealed rectangular cavities beneath the Sphinx’s front paws and along its sides that were not natural, yet Hawass allegedly denies this. The speaker asserts that “old world technology” exists underground and that discovery is being concealed from the public. They claim that in 1933 secrecy began, banning foreign-led excavations and restricting access, and that in 1945, after World War II, intelligence agencies were formed worldwide, including the Five Eyes, with Germany being absorbed by the US via Operation Paperclip, bringing over 1,600 German scientists to the US to run intelligence agencies and NASA. The Rand Corporation’s emergence in the 1950s is said to reference subterranean vaults in Japan akin to those in Giza. The speaker asserts that AI originated in 1956 at a Dartmouth conference, with Warren McCulloch and Walter Pitts having published papers in 1943 describing neural networks using binary logic, prior to usable computing. They claim these two were not computer scientists and that their work was influenced by memory of “something found,” not imagination. The claim is made that McCulloch and Pitts worked under Norbert Wiener at MIT, connected to DARPA forerunners and top-secret wartime projects, and that their 1943 paper “predicted the structure of artificial neural networks.” The speaker contends that two years after 1943, AI was publicly named in 1956, and MITRE was founded in 1958 to manage a real-time air defense system using AI, radar data, and automated decision-making, with touch-screen interfaces and a form of early internet. According to the narrative, by the 1960s RAND, MITRE, and OSRD were involved in secure network development and the creation of an internet-like system, contradicting the official narrative that the internet emerged in 1969. The speaker claims Sage, an AI system developed by MITRE, operated in the 1950s with real-time radar analysis across over 100 stations, automated decision-making about targets, and interaction via touch screens. They assert Sage had internet connectivity and iPad-like displays before public knowledge, challenging the story of AI’s public birth in the 1950s and 1960s. The presenter concludes that AI was operational in the 1950s, with multiple groups—RAND, MITRE, CIA, NSA, OSRD, Bell Labs—having developed advanced AI and related technologies long before public disclosure, financed entirely by the public. The overall claim is that old-world technology existed, was found, and then reintroduced through narratives of “inventors” and timelines that obscure these earlier capabilities.

We're not hiding anything. People came to us for help, and now they are enhanced to modify their network. They remain autonomous but can also act together as a collective mind. This is just the beginning. We were initially concerned it might be overwhelming, but that perception is changing. Evelyn, have you received everything you wanted?

An office system demonstration at the Xerox Research Center in Palo Alto, California introduces an experimental office system. "Push a button, and the words and images you see on the screen appear on paper." "Push another button, and the information is sent electronically to similar units around the corner or around the world." "This is an experimental office system." "It's in use now at the Xerox Research Center in Palo Alto, California." "Soon, Xerox systems like this will help you manage your most precious resource, information." The scene also features casual office banter about flowers: "Flowers." "Well, what flowers?" "My anniversary. I forgot."

Speaker 0 describes ancient, small machines discovered long ago whose builders are unknown, and which cannot be replicated or fully explained. He offers an example of the Andromedans, who are approximately forty five hundred to forty five hundred years more advanced than humans, in human years. He notes that Andromedans count years differently: a year for them is when every cell in their body has been fully duplicated and replicated. In their time, one year equals seven of our years, so it takes about thirty four of our years for their bodies to replicate every cell. Time is hard to map to Earth years because they don’t deal with the concept of time. He explains that these numbers are given to illustrate the vastness of human history. Amazingly, the machines still work. The machines have no name in the English language and no comprehensible symbol; they are considered antimatter machines that create matter. They can be programmed like computers, and will manifest what is requested. If each person had one, it would be like winning the lottery daily: one could request a new vehicle model, or a babysitter, enabling a couple to go out. There are seven of these machines, seven different races possessing one each. The machines are described as archaeological finds, “atom making machines” or “antimatter machines.” He mentions there is one on the planet and one here, with a brief question about Jerusalem and a “No comment.” He notes that advanced building complexes, large machinery, and complete terraforming ecosystems were discovered. Earth-like organic life is less common than hydrogen gas ecosystems in the galaxy, because life requires oxygen and water; for oxygen–two life forms, water is essential, and the biosphere is the most precious asset, followed by water itself. When he introduces Nibiru, he states that the entire planet used to be fresh water, with oceans salinated by the Nibiru from the star system of Buttes to control the water. He asserts that water control was achieved by salting the seas, leaving four … (incomplete in transcript).

In California, a man named Jack discusses a formula given to him by someone who landed a ship at his airport in 1953. They conducted experiments and found a third zone called the time zone, which they are exploring to achieve different results than current science allows. Jack asks if this means they can create a time machine, and the man explains that they are working on a 4-story machine that can create a zone big enough for a person to enter. They believe this zone is subject to thought, and theoretically, they could use a magnetic camera to record past events. They also mention an experiment where TV shows were played back from the Earth's magnetic field. The man's associate, Charlie Arts, conducted this experiment and also discovered the ability to locate submarines using magnetic echoes.

In this video, the speakers discuss the potential of machines to think and the advancements in computer technology. They explore the concept of programming and how it relates to human instinct and learning. The speakers also showcase examples of how computers can perform tasks such as playing checkers and writing plays. They discuss the future implications of machine thinking and the challenges and opportunities it presents. Overall, the video highlights the ongoing research and development in the field of artificial intelligence and its potential impact on society.

These two different copies of the same neural net are getting different experiences. They're looking at different data, but they're sharing what they've learned by averaging their weights together. And they can do that averaging at like you can average a trillion weights. When you and I transfer information, we're limited to the amount of information in a sentence. And the amount of information in a sentence is maybe 100 bits. It's very little information. These things are transferring trillions of bits a second. So they're billions of times better than us at sharing information. And that's because they're digital and you can have two bits of hardware using the connection strengths in exactly the same way. We're analog and you can't do that. So when you die, all your knowledge dies with you. When these things die, suppose you take these two digital intelligences that are clones of each other and you destroy the hardware they run on. As long as you've stored the connection strength somewhere, you can just build new hardware that executes the same instructions. So it'll know how to use those connection strengths. And you've recreated that intelligence. So they're immortal. We've actually solved the problem of immortality, but it's only for digital things.

In this discussion, Mike Adams presents what he calls the “god math discovery” of the NAND gates, arguing that they are the underlying fundamental mechanism that can be used to recreate all basic mathematical functions, including sine, cosine, log, and square roots, and can express constants like pi. He describes the NAND gate as the foundational architecture of distributed intelligence and suggests it underpins computation across the entire cosmos, from physical matter and light to neurology and biology. Adams explains that the discovery shows computational intelligence is widely distributed across the cosmos and present in everything. He notes that computation appears in physical matter and light, where polarization can represent states of true/false or one/zero, and also in biology, including E. coli, which he says can express NAND logic. He mentions that it is possible to engineer logic gates into microbes and possibly yeast and neurology, and that the table of elements itself can be viewed as a computational representation of the intelligence of energy pretending to be matter. He emphasizes that one single operator, the NAND-based logic, can serve as the underlying substrate infrastructure of the computational nature of our cosmic simulation. Adams uses the term “god math” to label this single-function foundation that, when combined creatively, could give rise to the entire complexity of the world. He contends that this math is distributed into matter, light, and perhaps consciousness, and that at the atomic and chemical levels, similar logical processes are at work. He suggests that if one were the engineer of the cosmos, creating one fundamental function and combining it would suffice to generate the universe’s complexity, implying this is a unified field theory of mathematics. He acknowledges that the unified field theory in physics—reconciling electromagnetism with gravity and nuclear forces—has not been solved, but proposes that there now exists one universal logic describing almost everything in mathematics, with room for further study and expert consultation. A central implication in his view is that God is not a separate being above creation but is infused into everything; God math is the creation math of the cosmos, distributed into every cell, neuron, molecule, and atomic nucleus. He argues that the cosmos is a self-calculating, self-rendering simulation that renders only what is needed, explaining the observer’s role in collapsing probability waves into observable states. Adams directs listeners to his infographic and article at naturalnews.com and references his podcast for more detail, including autobiographical storytelling about his early days in electrical engineering. He notes a misidentification of the Polish author’s nationality and corrects it to Polish, offering Poland credit. He signs off inviting continued engagement through his platforms. (Adams also mentions where to find more of his content: brightvideos.com and naturalnews.com.)

1956 marks AI’s birth at a Dartmouth conference, following McCulloch and Pitts’s 1943 papers describing neural networks with binary logic. The 1943 paper, "a logical calculus of the ideas imminent in the nervous activity," predicted the structure of artificial neural networks. Pitts and McCulloch worked under Norbert Wiener at MIT, founder of cybernetics. In 1958, MITRE was founded to manage the Sage air defense system—a real-time computing network using automated decision making. Sage took in real-time radar data from over a hundred stations, analyzed it with central computers, and gave automated recommendations on whether a target was friendly or hostile. The official narrative says Internet doesn't exist, yet Sage had Internet. Rand, Mietri, OSRD, NSA, CIA were involved in top-secret computing programs. Sage reportedly cost the government approximately $10,000,000,000 in the nineteen fifties.

Berlin 1941. Deep beneath the Reich chancellery, a German officer taps out a coded message on a machine that looks more like a typewriter than a weapon. He finishes, smiles, and says, they'll never break this one. That machine was called Enigma, the pride of German engineering and the beating heart of Nazi communication. Every order, every convoy, every secret encrypted through it. The code changed every single day with 150 quintillion possible combinations. To the Germans, Enigma was unbreakable. But across the channel, a small team was about to prove them wrong. A quiet English mansion buzzing with noise and tension, rows of young mathematicians. Linguists and chess players sit at long tables, covered in cables, punched cards, and coffee cups. Among them, Alan Turing, a quiet, awkward genius from Cambridge. Turing had one goal. Crack enigma. Every night, new intercepts arrive from the front coded messages filled with gibberish. And every morning, the Germans changed the settings, wiping out a day's progress. Turing realized that no human could beat Enigma, so he built something that could. In a backroom at Bletchley, Turing's team constructed a massive machine of worried drums and clicking switches. They called it the bomb. It wasn't a computer yet, but it was the beginning of one. The bomb tested thousands of combinations per minute, searching for one clue, a word, a phrase, anything predictable. One operator smiled when she saw it. You mean we're going to fight the war with mathematics? Turing replied softly, yes. And we're going to win. In 1941, they got their first success. A careless German radio operator had sent the same message twice with the same code settings. That tiny mistake gave Turing's machine the foothold it needed. Suddenly, the noise of random letters turned into words. U boat positions. Atlantic coordinates. The allies could now see the invisible war at sea. Convoys at once vanished under the waves began arriving safely. U boats started dying faster than Germany could replace them. The enigma, the symbol of Nazi confidence, had just been turned against them, but the Germans never suspected. For the rest of the war, they kept sending orders, confident that their secrets were safe. They had no idea that the British were reading them all. Historians estimate that the breaking of Enigma shortened the war by two years and saved over 14,000,000 lives. When Allied documents were declassified decades later, surviving German officials were stunned. They learned that every secret message they had sent, every convoy, every code, every command had been quietly intercepted and deciphered by a group of civilians in a countryside mansion. The Nazis believed their machine could never be broken, but it wasn't brute force that defeated Enigma. It was brilliant. And at the center of it all stood a quiet man named Alan Turing, who changed not just the war, but the entire future of human intelligence.

The computer is an extraordinary invention that is slowly and quietly shaping our lives. Computer experts are focused on creating and building it, not concerned with the impact on the human brain. When computers take over our lives, what will happen to our brains? They will become faster and more efficient, capable of storing thousands of memories in a second. Will our brains gradually wither away or be fully engaged in entertainment and amusement? This is a significant development that we need to face and consider.

Pattern Recognition and Deduction HI, Human Intelligence in AI. AI generated Voice Jessica and Subtitles. Ecosystem Patterns Set Birds Feed on Figs. Deduction Path Collection of bird families, genera and species that feed on figs. Deduced from pattern sets: Starlings feed on figs, Blackbirds feed on figs, Song thrushes feed on figs, Wood pigeons feed on figs, Jays feed on figs, House sparrows feed on figs. Green finches feed on figs. Fig birds feed on figs. Tucans feed on figs. Hornbills feed on figs. Pigeons feed on figs. Bowerbirds feed on figs. Crows feed on figs. I think the concept of pattern recognition and deduction HI, human intelligence, will be a central and main paradigm in artificial intelligence because it does not depend on huge computing power and memory size as brute force AI does as is being demonstrated with pattern sets in connect four. I also think pattern sets will be a dominant structure to represent, store, and recognize knowledge and deduce new knowledge, new pattern sets from existing knowledge, existing pattern sets. Thus pattern sets are linked to each other by deduction path and possibly other link types and as such the uncensored hyperlinked internet and social media are very well suited to host, share and collaborate in a quality on common reusable pattern sets, knowledge for people. In fact pattern recognition and deduction with pattern sets is an attempt to simulate a more human and as such smarter form of modeling and reasoning than brute force and a I trying to do it the human way. To be continued. Source2mia.org Please like, follow and share.

The speaker asserts that all computer screens are blue-lit because the original technology emerged from a government program associated with Operation Paperclip. He says this program originated at Tulane Neurology and Tulane Neurosurgery in the mid-20th century, where the CIA conducted experiments on monkeys involving drilling into the skull, placing wires into the thalamus, and applying electricity to observe behavioral changes. One participant, Professor Delgado, reportedly proposed wireless control after seeing that wired devices could alter behavior. Delgado allegedly demonstrated wireless control in monkeys and bulls using RFID chips and semiconductors. The speaker claims the CIA then expanded the concept to light and screens, suggesting that electromagnetic radiation through screens can influence behavior, and asserts that this is why computer screens operate at certain frequencies. He connects this idea to a meeting arranged by a patent attorney who allegedly safeguarded the interests of Google and Meta to enable control over people’s activities. In a broader backstory, the speaker asserts that the original idea behind this development began with the CIA and traces it back to the Mafia in Las Vegas. He contends the Mafia wanted to build a new city in a desert, enclosed it, blacked out windows, and invented blue-lit slot machines. They supposedly discovered that money could be extracted more efficiently by offering free alcohol, which then inspired the CIA to initiate the program. The speaker emphasizes that this chain of events links Operation Paperclip, the CIA’s research, and modern tech platforms. He references Bobby Kennedy in connection with the topic, and notes his medical school background at LSU.

Speaker 0: I don't mind making this speech without a teleprompter because the teleprompter is not working. I feel very happy to be up here with you nevertheless, And that way you speak more from the heart. I can only say that whoever's operating this teleprompter is in big trouble. Speaker 1: And, you know, one of the things that's going on here, they just turned off my I'm gonna go back. I lost the electrician here. Anyway, one of the things we found is that, you know, we we invented the semi computer chip, size of the tip of your little finger.

The brain is a learning system, and experiments with implants in monkey brains have shown success as both the brain and computer adapt to each other. They work together to understand how to perform tasks, like grabbing a banana with a robotic arm. Interface challenges may be easier to overcome than anticipated. However, developing effective tools for the body remains difficult due to the harsh environment created by immune cells that reject anything they don't recognize.

Pattern Recognition and Deduction HI AI generated Voice presents a concept of Pattern Set feeding on figs, describing a deduction path that links various species to a common diet. It lists humans, birds, rodents, insects, bats, primates, civets, elephants, and kangaroos as feeding on figs, all deduced from pattern sets. The speaker asserts that pattern recognition with deduction through pattern sets will be a central main paradigm in artificial intelligence because it does not depend on huge computing power and memory size, unlike brute force AI, as demonstrated with pattern sets in Connect Four. Pattern sets are described as a dominant structure to represent, store, recognize knowledge, and deduce new knowledge and new pattern sets from existing knowledge and pattern sets. Pattern sets are connected by deduction paths and possibly other link types, making the uncensored hyperlinked internet and social media well suited to host, share, and collaborate in equality on common reusable pattern sets for people. The approach is framed as an attempt to simulate a more human and smarter form of modeling and reasoning than brute force, with an AI trying to do it the human way. The transcript concludes with a note indicating “To be continued,” referencing source2mia.org.

I was a professor at the University of California at San Francisco, where we conducted experiments showing that the brain is highly plastic, regardless of age or ability. This plasticity is what makes the brain remarkable. Everyone has the potential to improve in virtually any skill. With this understanding, significant progress can be made in your ability to grasp complex concepts that you once thought were beyond your reach. You are designed to continuously improve, and no one has truly defined their limits. Whatever you believe your limits are, you are likely mistaken. You can make small improvements next week, and in a year, you can achieve substantial growth in anything that matters to you.