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| | license: apache-2.0 |
| | pipeline_tag: image-classification |
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| | This is NOT David, this is a much much earlier prototype - predating the other multi-spectrum systems. It must be released for posterity. |
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| | So no matter how you go about it, this prototype WILL HAVE LIMITS. |
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| | However, there is some strange implications I found when tinkering that implies the limitations are HIGHER than previously expected. I'm seeing acceptance of about 25 - which probably means each edge, each face, and each point are accepting a form of loss adjacent similarity. |
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| | When too many things collapse into eachother, I'm estimating around 20 currently - my original assement was 4 - the structure starts to deviate. I'll need to work out a proper lambad formula for these differences and create a proper causal numeric test that can be represented in LATEX. Possibly ran at fp64 instead of fp32 for full solidification. |
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| | My hunch is, each can house about 20 rather than 8, and they can be compartmentalized to task. This is fitting the current spectrum. |
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| | The noise pentachora have limitations as showcased in this, which is why I finetuned the geometric-vocabulary and what it's real purpose is. |
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| | If this number is correct, it has massive implications soon. |
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| | It's the difference between accurate assessment further down the rope and collapse due to wasted space overlap and chaos buffer. |
