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Post by davidb123 on Oct 10, 2024 22:31:40 GMT
Do you have a code that I can run on Google colab to run the intention repeater on and make it as powerful as possible?
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Post by reden on Oct 10, 2024 23:03:37 GMT
Do you have a code that I can run on Google colab to run the intention repeater on and make it as powerful as possible? Colab isn't needed anymore, only SC. The Cloud Shell could be used to run a large number of Python Once per Hour Repeaters, but likewise you could run many SC tabs and it'd be easier.
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Post by davidb123 on Oct 10, 2024 23:24:28 GMT
That is a great idea. Thank you so much
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Post by davidb123 on Oct 22, 2024 2:04:18 GMT
I want to learn how to create powerful morphic field and how to load it into audio file?
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Post by davidb123 on Oct 22, 2024 16:23:57 GMT
Any help?
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Post by AnthroHeart on Oct 22, 2024 16:51:54 GMT
You can take any existing mp3 and run in ServitorConnect like:
"My song <song name.mp3> [HASH] is charged with <intention>"
It's pretty easy to make a morphic field from an audio.
To get the HASH you would Load File the mp3 or WAV.
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Post by davidb123 on Oct 22, 2024 17:10:09 GMT
perfect. Thank you so much.🥰🥰
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Post by davidb123 on Oct 22, 2024 18:01:11 GMT
Another question. When it comes to creating morphic fields I should research the topic I am interested in. So if I want to have physical or mental changes. Should I look up the scientific explanation behind it or just simple affirmations would do the trick?
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Post by AnthroHeart on Oct 22, 2024 18:21:33 GMT
Another question. When it comes to creating morphic fields I should research the topic I am interested in. So if I want to have physical or mental changes. Should I look up the scientific explanation behind it or just simple affirmations would do the trick? Yes, that would be good. Knowledge can add a lot to it.
Just don't confuse yourself.
If you need the scientific explanation simplified, then past it into ChatGPT or the like and ask it to explain it better.
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Post by davidb123 on Oct 22, 2024 18:59:10 GMT
Actually that will save me a lot of time. Thank you so much for all of your time
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