104 lines
5.3 KiB
ReStructuredText
104 lines
5.3 KiB
ReStructuredText
The Technology Behind Remote Mind Reading
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The technology can be broken into multiple parts: the ability to read brainwaves
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remotely; the ability to decode brainwaves; the ability to beam back signals to
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the brain to influence it; the ability to apply this from a long distance; a
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mechanism for automation (to be able to apply it to a large number of victims);
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and an infrastructure for population-scale deployment.
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Believe it or not, every single one of those exists, and I will provide
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well-founded explanations in tangible details.
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This article is concerned with the first two, while the third one is explained
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in `a later article <capabilities.rst>`_. Those are the most important points
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to explain here; the remaining points are all boring mechanical details, since
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they have long been possible and in use for a myriad things other than mind-
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reading. Nevertheless, this folder contains articles with explanations (and
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some speculations) about each one of them.
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1. Remote Brainwave Monitoring
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------------------------------
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A device for remotely monitoring brainwave activity was invented by `Robert G.
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Malech <https://hatch.kookscience.com/wiki/Robert_G._Malech>`_ back in 1974.
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This is the patent for the device on Google Patents:
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`US3951134A on Google Patents
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<https://patents.google.com/patent/US3951134A/en>`_
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`Web Archive mirror
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<https://web.archive.org/web/20210505115428/https://patents.google.com/patent/US3951134A/en>`_
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Quoting from the patent:
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Apparatus for and method of sensing brain waves at a position remote from a
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subject whereby electromagnetic signals of different frequencies are
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simultaneously transmitted to the brain of the subject in which the signals
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interfere with one another to yield a waveform which is modulated by the
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subject's brain waves. The interference waveform which is representative of
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the brain wave activity is re-transmitted by the brain to a receiver where
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it is demodulated and amplified. The demodulated waveform is then displayed
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for visual viewing and routed to a computer for further processing and
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analysis. The demodulated waveform also can be used to produce a
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compensating signal which is transmitted back to the brain to effect a
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desired change in electrical activity therein.
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The patent contains a very detailed description of the components of the device
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and how it works, and at the bottom of the patent it mentions:
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[The] apparatus and method of the subject invention has numerous uses.
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Persons in critical positions such as drivers and pilots can be continuously
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monitored with provision for activation of an emergency device in the event
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of human failure. Seizures, sleepiness and dreaming can be detected. Bodily
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functions such as pulse rate, heartbeat [regularity] and others also can be
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monitored and occurrences of hallucinations can be detected. The system also
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permits medical diagnoses of patients, inaccessible to physicians, from
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remote stations.
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2. Decoding of Brain Activity
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-----------------------------
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Even with the ability to record brainwaves remotely, thoughts have waveforms
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that are way too complicated and would seem entirely opaque from the outside.
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So back when the aforementioned device was invented, people neither knew how,
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nor had the computational power necessary, to decode them. That is, until the
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advent of AI and deep learning algorithms.
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Experiments on decoding brainwave activity using neural networks are documented
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to have been conducted successfully numerous times in public knowledge. For
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example in this YouTube video:
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`https://www.youtube.com/watch?v=CBQuKW7vK-A
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<https://www.youtube.com/watch?v=CBQuKW7vK-A>`_
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`Web archive mirror
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<https://web.archive.org/web/20210705120805/https://www.youtube.com/watch?v=CBQuKW7vK-A](https://web.archive.org/web/20210705120805/https://www.youtube.com/watch?v=CBQuKW7vK-A>`_
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From the video's description:
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Russian scientists held an experiment on recognizing imagined objects at
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Moscow's Polytechnical Museum on April 25. This recognition system is based
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on a simple wireless electroencephaloscope. This device is generally used to
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recognize images for video games.
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tl;dr Every image you see (or imagine) has a **unique waveform** that is
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consistently emitted by your brain each time the same image is seen or imagined.
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These waveforms are different for each individual (so if you show the same
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picture to two people, each of their brains emits an entirely different and
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unique waveform), but if you show the same image to the same person multiple
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times, their brain emits the same waveform each time.
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AI can be easily trained to correlate brainwave patterns to images that you
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see or imagine inside your head. While in the video they only disclosed having
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trained the networks to detect images, the same concept can in fact be applied
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to almost anything else going on inside your brain.
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Not only images, but audio, sensory perception, feelings, moods, thoughts,
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thought processes (such as inference), intents (such as wanting to get up and
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do something, even if not verbalized), and all sorts of other general cognitive
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events (such as feelings of doubt, achievement, failure, arriving at a
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conclusion, etc.) all have their own unique waveforms, which AI can be trained
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to decipher.
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