The Neuro Holocaust

The AI worst case scenario is happening and our governments are complicit

User Tools

Site Tools


cluster_1

Onset of V2K voices explicitly calling subject terrorist/paedophile/psychopath with direct threats of framing and destruction

In 2020 I started to hear strange noises around my house. What appeared to be the dragging of heavy objects on the roof, creaking walls, footsteps in the walls, and other mysterious sounds.

Before long I also started to hear voices. Some of the claims these voices made in 2020-2022 (sometimes in English, sometimes in Dutch) were:

  • “We are from the AIVD and from the MIVD, and if you think you can fuck with us you are wrong.”
  • “We have weapons from the future nobody has ever heard of.” (in retrospect, alluding to this)
  • “You are a terrorist and you deserve to be hung from the highest tree.”
  • “You spend the whole day on cocaine, amphetamine, and ketamine” (admittedly I did struggle with a stimulant addiction at the time)
  • “We will hunt you down, fuck you up and destroy you.”
  • “We will put a hole between your eyes.”
  • “You are going to sleep.”
  • “We are the new world order and we have directed energy weapons.”
  • “You are a targeted individual.”
  • “You leave a trail of destruction in your wake!” (a prime example of projection)
  • “We will put child pornography on your laptop so we can catch you with child pornography.” (later possibly fulfilled)
  • “There is nowhere to run from us, nowhere to hide from us!”
  • “We are not impressed by your retarded methods and techniques.” (referring to my attempts to record the voices using audio recording software, which later indeed proved impossible)
  • “We are from the technical division.” (Was said in Dutch, “technische dienst”, which appears to allude to the CIA technical division, whose projects are denoted “MK” as in MKULTRA)
  • “You're never going to be able to prove it!”
  • “We are in your audio card, we are in you audio card.” (taunting, moments before my work laptop's password mysteriously changed, locking me out)

In the beginning, these voices referred to themselves with Dutch names such as “Kees”, “Wim” and “Peter”, and pretended to be police officers working with gear available from spy shops. I remember “Peter” commenting “if anyone finds out about this, I will lose my card.”

Later the main voice (male) coined the name “Daan van Burden” for itself, saying “My name is Daan van Burden, because I'm a burden.” - interestingly my name is Daniel, often also shortened to “Daan”.

In the beginning the voices used a myriad of identities, each with their own voice models. Later the AI settled on 3 distinct voices: “Daan van Burden”, a slightly robotic female voice, and a “bitchy” female voice. The female voices always play second fiddle to “Daan”. It would almost always use this trio of voices, only very occasionally using another (alien, demonic, or other variations of “Daan van Burden” who switches between “norse cop”, “gameshow presenter”, “intellectual” and other modes).

Approximately in mid 2022 I noticed another capability this AI has: imitating people I have phone calls with. Immediately after calling with my father or uncle, the AI takes on their voices.

Technical analysis

Paying close attention to the behavior of these voices, I make a number of observations.

The term "targeted individual"

Given the voice called me a “targeted individual”, I googled the term. I quickly stumbled upon large amounts of people going through the same, calling themselves “targeted individuals”.

This rabbit hole quickly enlightened me, as I started reading about directed energy weapons. This is when I learnt about these, thinking back to the “we have weapons from the future” claim.

Audio behavior

When I have audio playing, such as a podcast on my phone, the voice goes into what I call “ambient mode”. In this mode it doesn't actually utter words, but makes the kind of muffled sound one would hear if listening to a neighbor through the walls. The interesting thing is that this mode follows the amplitude envelope of what I listen to. When I listen to a voice from a podcast, the pitch of the mumbling voice is the “inverse” of the pitch of the podcast voice. High podcast voice, low mumbled sound, and vice versa. I theorize this is to make the voice always percievable, with an amplitude just enough to make it distracting from the podcast audio.

This amplitude stealing behavior has an interesting implication: if one can succesfully capture the signal, even if that's hard due to spectrum agility, the overall RF power should fluctuate in tandem with the voice heard. This should allow the correlation of perceived audio from a podcast playing, to the RF power from an SDR.

/var/www/html/data/pages/cluster_1.txt · Last modified: by daniel