Timeline Observer It's time to start thinking about your UI. I suggest for your backend Elixir/Phoenix. Write an OSC handler or use TonyOSC. Come up with your vocabulary. Map the vocabulary to OSC paths. Develop a first pass at a GenServer that will handle dealing with comms between the cloud server and the distributed devices. Remember that because you will be using the chip, all your devices will have femtosecond resolution. OSC has some basic time mechanisms, I would start there. For your UI I would recommend you have server control and whole system displays on Live views. For your instrument controller I would recommend a tablet running TouchOSC. Tell ChatGPT what you're working on and have it work with you on designing the layout. Once your first pass layout is up, wire up the controls to the server, each TouchOSC component has an OSC path property associated with it. There is all sorts of shit attached to the controls, I haven't messed with most of it but make sure you check out the script property because you can attach Python programs that get triggered in events for I guess writing to the devices and what not. You should be able to round trip events to your Fly.io instance. Your experiment logic should live on the server, I think using the tern database will be fine, oh make sure when you first create the Phoenix project you do –no-ecto holy shit you will thank me later. I'm imagining you will be streaming events from the devices and running computations so I would get familiar with Nx so your stuff can run on the GPU. If your data starts getting out of hand, wrap your telemetry in SQLite databases and lob those around the devices and up to the server. Probably you will soon want to work with RF, so make sure one of the first devices you get for experimenting has SDR. Once you get a few nodes up you will want to have another conversation with the AI about frequency selection. Take a look at my Full Spectrum Radio patent to get an idea of what you can do. https://taguniversal.github.io/digital_blockchain_patents/patent_fsr.pdf For mapping your layout to the terrain I would use QGIS https://qgis.org/, draw out the physical location you will be working in and drop features to hold your node locations. One interesting feature of QGIS is it handles the notion of time, I haven't worked with it but you will definitely want that feature to be first class citizen in the time domain so that you're not demanding excess bandwidth and precision from the network. Once your physical network is laid out in QGIS you will want a digital twin on the server so I guess figure out what formats that tool handles and make an export/import GenServer to handle the sync. For the mental stuff I recommend symbol mapping, display a symbol and when the experimenter is looking at it, take a system snapshot. After a few tries you should be able to see strong locality correlations show up on your display. I had very good results with the I Ching and that is totally binary so it was easy to work with I don't have Internet right now but lookup a YouTube of a guy that uses ESP32 arrays to image RF emissions from cellphones and stuff, it's pretty good, you can see RF shadows as the person moves around objects. He got down to doing very precise traces and had a central ESP,33 measure the femtosecond difference in signal arrival times and serialize it. I asked ChatGPT about the Mandela effect but it just gave me psychobabble so you're going to need to generate a few GB of real telemetry from this setup and plug a RAG into it and try again with a good decriptin of the run, the experimenter, all the terrain data and the symbol stream presented to the experimenter during the run, mapped to locality of course. I think with a perceptive experimenter using standard remote viewing hygiene you should be able to pick up anomalies after 100 runs at the most When I was in Colorado we used something similar with an iPad to try to communicate with a being that the dude called a Thunderbird, it had ostrich type bones and could electrically cut neat triangles out of his ski jacket as he snow mobiles though this things domain. One time it knocked over a trash can and the dude looked out and saw all his trash strewn over the snow, he figured a bear but the next day he saw something glodd, I shit you not, he said he had a bunch of blister packs from stuff he had gotten at Target and he noticed they were sorted by PRICE. So the thing must have been able to communicate with the Internet to do that so don't neglect ordered messages coming through some unused port somewhere