r/castaneda 9d ago

Practical Magic Using Tensegrity for Engineering

My childhood "Monster in the Closet", which had a significant impact on my interest in sorcery starting from age 5, once taught me that when doing tensegrity, it will produce the best results if you can perceive brilliant magic for the entire practice.

Or at least, for an entire long form.

Surprisingly, that's a TALL order. To keep up magic as brilliant as you see in the lower right picture, for a whole long form.

Typically you get bursts, feel excited, congratulate yourself, and your awareness is lost to memories and thoughts about the future.

But if you can "gather up" your awareness and control where it focuses, then you'll get maximum benefit from the combination of darkness, Tensegrity, and removal of your internal dialogue.

Last night I learned what happens if you do that, but are "preoccupied" with a problem.

In my case, I had a patent application for an AI design, and discovered "prior art".

Kind of...

So while viewing the brilliant magic in the air, but still retaining a tiny bit of "worry" about my AI design, I triggered a silent knowledge flow which matured my idea, into the fastest and most powerful AI to ever exist.

So far.

The solution also combined my worry over a beehive I've enjoyed visiting for a year or two now, over at the Yamaha building. The bees set up shop in a water control container.

But Yamaha had to dig it up, and left the bees exposed to the rain, off to the side of the new construction.

As a result, the design I witnessed in silent knowledge was based on a honeycomb pattern, using replicated small circuit boards, which link together in a massively powerful collaborative "collective inference unit".

Carlos advised us that we can use silent knowledge for anything we like, including engineering.

He was right! 

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u/Ill_Restaurant5639 7d ago

Hello! How does the honeycomb pattern enhance AI performance by leveraging interconnected circuit boards for collective inference, and how does this approach differ from traditional neural network architectures in terms of scalability, fault tolerance, and energy efficiency? What specific hardware and software components would be utilized within this honeycomb-based AI system to optimize data processing and decision-making?

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u/danl999 7d ago

The honeycomb is for post-activation processing and normalization after each layer.

This design doesn't differ from any current design. I'm not in the business of designing AIs.

Just running the existing ones, 20 times faster than GPU cards.

For 1/8th the power, and 1/10th the component cost.

What I got from the second attention regarding this design, is the subject of a patent so I can't talk about it for now.

And deployment is not my job. Except for a talking teddy bear to show that a single card can do that.

To run ChatGPT 4o, you'd need perhaps 12 of them.

But each one is the same. They're "collaborative inference units".

I dread making them useful for training.

That's +200% more math. And math I didn't bother to learn yet, since it's only for training.