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Shorter OVERVIEW video :: • Decoding AI to AI Chatbot Conversations us... We get a little deep here in the LabVIEW code and FSK based OFDM modulation that is used in the ggwave library for enabling Gibberlink communication. We dive into concepts of how you go from ASCII characters to Bits to Symbols (frequencies) to an actual modulated signal via Inverse Fast Fourier Transform (IFFT) and back to bits form the Fast Fourier Transform (FFT). In the end we still barely scratch the surface of these concepts, so the more you ask for in the comments, the more I'll come back to the well and fill up your bucket; Thanks! Previous simple investigation: • Decoding AI to AI Chatbot Conversations us... Original Chatbot Video: @antonpidkuiko6342 • Two AI agents on a phone call realize they... ------- CHAPTERS: 00:00 Intro 01:43 Not Magic, Just Language 04:55 Characters to Bits 08:45 Bits to Frequencies 12:02 Code ASCII character to frequencies 16:23 A as 2 Tone Frequency Output 20:56 Coding into the Modulator 23:46 Making Time-Domain from Frequency-Domain 29:29 Thoughts on Demodulating 32:21 Conclusion Although we don't get all the way to demodulating the original content, we're on the doorstep of enabling this and if I get enough feedback, I'll make the part 2 deep dive ggwave library https://github.com/ggerganov/ggwave ggwave video • ggwave-gui - functionality overview We're using #labview , @voicemeetersound5150 , and not much else to do a FAST deep dive investigation to the signals that these two separate systems are using to communicate to see if it's all a show, or are we really looking at the resurrection of our 1990s modem tones. #dsp #spectrumaudio #signalprocessing #dtmf #OFDM #labview #daqisback #ggwave #gibberlink Special thanks to some YT heroes / @smartereveryday / @networkchuck