Conspiracy Revelation: 16.6.2024: DARPA A.I. Neural Networks inside Human Bodies.
“April 25, 2024 – 562 Aufrufe”
“You put a reproducing Xenobot inside People that transfects…you are load-balancing body area networks.. it builds its own neural networks and then it builds its own A.I. ..DNA was faulty…How do you stop the NANO from exponentiating its own A.I. on the inside…5G Cyber Security. DARPA founded this 10 years ago. Those Molecules are driven by A.I., all the time, body area networks, wireless sensor nano networks. That´s Machine to Machine. No humans involved…Pure A.I… You evil f*cking pigs…
That´s a whole different level of unbelievable Evil.”
“Oh, you can EMP it, no, you can´t, it´s made out of you…When you stop the Signal, you stop the DNA. The situation could not be more dire.”
“Since 2015. JADE HELM.”
“You will never take them to court.”
“Angels Are Real: This is the most ridiculous claim by someone who claims they are a networking genius. I know AI and how the body works and that is well proven on my channel. It doesn´t work this way and when she said debunk me I did and she blocked me. Be careful Things are real bad and they are doing bad things but those of us that really know will look at this women as a diversion to the real problems, a Narcissist, or under some kind of mind control. I think she is an attention junkie. Some of her claims are right. After a deep dive she failed the CCNA and her family is not what she claims. She has no clue how AI is created and being deployed and for what.”
“Download PDF 1,170
Citing PublicationsSupportingMentioningContrasting
View Citations
See how this article has been cited at scite.ai
Molecular Nano Neural Networks (M3N):In-Body Intelligence for the IoBNT
bioengineeringcomputing and processingsignal processing and analysis
molecular machine learningnanotechnology
Abstract:
Intelligent behavior is an emergent phenomenon observed in biological organisms across all scales. It describes the cooperative behavior of low complexity entities to accomplish complex tasks, which exceed their individual capabilities. This property is particularly important for the Internet of Bio-Nano Things (IoBNT), which consists of Bio-Nano Things (BNTs) used in the human body, where they face many restrictions, such as bio-compatibility and size constraints. In this paper, we present a novel BNT-architecture, called Molecular Nano Neural Networks (M3N), which allows the implementation of intelligence on the micro-/nano-scale. The proposed structure consists of compartments (low complexity entities) that are connected to each other to form a network. Based on reaction and diffusion of molecules in and between connected compartments, this network mimics an artificial neural network, which is an important step towards  artificial intelligence in the IoBNT. We provide design guidelines for the proposed M3N and successfully validate it by applying a regression and classification task.”
“TechRxiv. October 26, 2023.
DOI: 10.36227/techrxiv.24427435.v1”
