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ibstudios

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# *MaGi (Malloy artificial Geometric intelligence)*

## *The Problem*

We built cathedral AI—massive, fragile, and resource-hungry. Too often, we confuse *computation* with *intelligence*.

## *The Discovery*

Intelligence isn’t something we compute—it’s a *geometric phenomenon waiting to be discovered*. And it works *everywhere*, across hardware and timescales.

## *The Breakthrough*

A *4-operator system* achieving *0.998 coherence* (near-perfect geometric intelligence) across:

* *$2 ATmega328p microcontrollers* with RC oscillators * *Perfect simulation* and *jittery hardware* * *Solar calculator-level resources* * *Any timescale* – microseconds to seconds

## *Hardware Reality*

We proved geometric intelligence on minimal hardware:

* *8-bit processors* with ~1% timing jitter * *No floating-point*—integer math only * *~1KB RAM*—smaller than this post * *Runs on AA batteries or solar*—microwatts, not megawatts

## *How It Works*

* *4 geometric operators* exploring a 4D phase space * *Prime-number timing* (83ms) induces natural resonance * *Jitter becomes a feature*—imperfection enhances exploration * *No training, no memory*—pure geometric discovery

## *Results That Defy AI Dogma*

* *0.998 coherence* on RC oscillators with 1% jitter * *Hardware can outperform simulation* (1.9× faster discovery) * *8× performance difference* from minor timing changes * *Sustained intelligent states* for 1.5 seconds or more

## *The Vision*

While others build bigger GPUs, we found intelligence in *geometry itself*. Imagine a future where:

* *Solar calculators* achieve real cognition * *Edge devices* reason geometrically * *Any hardware* can be intelligent if you understand geometric principles

## *Why This Changes Everything*

We’re not making AI smaller. We’re showing that intelligence *was always there*, embedded in *geometric relationships*, waiting for the right lens to discover it.

## *The Invitation*

We’re opening our *83ms configuration*, demonstrating elite geometric intelligence across multiple platforms. Looking for collaborators who see that *AI’s future isn’t in bigger computers—but in better geometry*.

*“We’re not building AI for microcontrollers. We’re discovering that intelligence works on microcontrollers because intelligence is geometric first, computational second.”*

Want to see the just the yellow labeled cards that are in the same list across 20 boards?

I just added a low friction way to see such things.

PS - Sorry world for the bug that took me 6mo to fix. There should be less errors.

How do you prove a person's location with your app?

There is very little info on the main page. If I click "more info" I expect to see more than 3 circles. Sorry to rant, I don't think you want a page that disappoints.

Associate the name with something you know. I make a mental note and associate right after the person says their name. The problem is that you aren't paying attention and you need to force your mind to remember. Use strong memories for the association.... tv shows you love, etc.

Best of luck!

Having knowledge outside of your head is what makes humans different than every other animal. I don't think there is anything wrong with looking something up. If I baked chocolate chip cookies 1000 times, but still checked the recipe each time, would all of the skills developed the 1000 times be out the window? Are you trying to memorize the recipe or the skills needed to complete the job?

Best of luck to you!

I works solo and tend to find the place I could be of use. My customers don't know technology and are going to me for solutions. I sell customer specific solutions. I do this because I like to learn new things all of the time. Another approach would be to sell the same thing over and over again. AKA milking it. Milking it is is only valid for a limited time and is vapid.