Michael Lee

This program generates a constantly changing noise pattern based on a pseudo random number generator (PRNG). Scientifically speaking, PRNGs should not be able to be influenced by spirits, but there are two caveats. One is that the random seed used in Python is somehow affected (like timing). The other is that this may be an example of a partnership between our medium-capable suggestive minds and randomly generated shapes and forms. 

At some point, we will also introduce random visuals that derive from hardware sources, like the audio input of your computer. It will be interesting to see if the images improve. 

Download Program (The compiled program runs only in Windows 10.)

Amorphous Field Zip File

Click the link. Then click the down arrow button at the top right to download. Unzip the file (uncompressed over 700 MB!) and it will produce a folder. In this folder is an EXE file called amorphous.gui.exe that you can run.

Source Code (Python; Any OS)

If you have Python / Anaconda3, you can play with and modify the script. Let us know if there is a more efficient way to make an EXE from Python, or if you want, you can recode the program in another programming language.

amorphous_field.gui.py

Fernando, I agree that ITC, when the technology improves and becomes more of a mainstream tool, spiritual evolution will be its primary purpose. I almost wonder, though, if there isn't some spirit pushback from some factions to delay the development of this tech as its effect will be powerful - hopefully mostly good.

Excellent. Water seems like a great medium for spirits. Agitated water (e.g., boiling), even better.

How many frames do you collect in a typical experiment? I imagine you sift through each frame looking for anomalies. 

I am an avid explorer of the spirit world. I started astral projecting back in 2000. Recently, in late 2018, I began my quest for spirit communication with electronics and computers.

In this forum, I hope to learn from others and share what I've (re-)discovered in this field and software I've written.

In my day job, I develop and use machine learning methods to solve various research problems. Before getting in to ML, I developed computational chemistry methods. I received a Ph.D. in physical chemistry from UC Berkeley in 2000.