Hypothetically, the root pattern of the universe relies adimensionally on 3
to emerge the universe itself. 3D emergent is the lowest-energy expression
of the complete form of the universe, where it becomes conceptually one.

However, the function requires 4D to manifest at all, where 4D = 3D +1.
What a peculiar coincidence.

1D and 2D are real symbols and primordial relics, precursors to 3D +1, and
beyond into the xD potential vacuum, and even adimensionally into the
potentiate 0D,1D void.

We're just reveling in apocalypse, aren't we?



On Thu, 26 Mar 2026, 19:13 Matt Mahoney, <[email protected]> wrote:

> Why does space have 3 dimensions? 3 is the minimum number of dimensions in
> which a graph (such as a communication network) can be fully connected
> without intersecting edges. It is the only number of dimensions in which
> knots are possible. A 1975 paper by Li and Yorke showed that any dynamic
> system with a cycle of length 3 must have all possible cycle lengths and
> also be chaotic.
>
> So perhaps you need 3 dimensions for complex behavior. But 1 dimensional
> cellular automata and Turing machines can also exhibit complex behavior.
> Just not as efficiently. If the universe is a simulation, or part of a
> multiverse, then the number of dimensions we observe tells us nothing about
> the number of dimensions in the universe doing the simulation.
>
> -- Matt Mahoney, [email protected]
>
> On Thu, Mar 26, 2026, 2:01 AM Quan Tesla <[email protected]> wrote:
>
>> James, your intuition is correct abd also not. For starters, the SM
>> couldn't yet mathematically explain the dimensionality of time. That's an
>> arbitrary hole that needs plugging, especially with real quantum memory and
>> addressing concepts, such as the quantum eraser and retrocausility.
>>
>> These are critical data/information management horizons to cross for
>> activating dimensionless potential.
>>
>> Within the theoretical specification of the proposed entangled E8xE8,
>> lattice (as 248D), data storage limitations would only be arbitrarily
>> imposed via the constraints of 4D architectures. This is synonymous to a
>> supersonic jet that pilots choose to drive on the limiting road structure
>> from points A to B.
>>
>> However, based on reliable theory, the value of 3 is also an auto-elected
>> limit by nature.
>>
>> We should temper our intuiton with the certainty that both the SM and QM
>> model are incomplete.
>>
>> There's much work still to be done.
>>
>> On Thu, 26 Mar 2026, 01:45 James Bowery, <[email protected]> wrote:
>>
>>> There is quite a lot of work in "information physics" that indicates 3
>>> dimensions aren't arbitrary.  One aphorism I've run across is for a
>>> sufficiently large space, the maximum global dimensionality of a discrete
>>> and finite space with a homogeneous distance function is three.
>>>
>>> When I say "I suspect" I'm not making much of a claim let alone a
>>> conjecture that could be "even wrong".  It's more about my intuition from
>>> working with some of the founders of the Alternative Natural Philosophy
>>> Association that the dimensionless constants of nature arise from an
>>> inevitable combinatorial explosion given certain very simple and plausible
>>> assumptions about distinguishability that were originally derived within
>>> the Cambridge Language Research Unit subsequent to WW II.
>>>
>>> I'll just say that the number "3" is not arbitrary from that standpoint,
>>> nor is its connection to language.
>>>
>>>
>>>
>>> On Mon, Mar 23, 2026 at 3:29 PM Matt Mahoney <[email protected]>
>>> wrote:
>>>
>>>>
>>>> On Mon, Mar 23, 2026, 1:54 PM James Bowery <[email protected]> wrote:
>>>>
>>>>>
>>>>>
>>>>> On Sat, Mar 21, 2026 at 12:28 PM Matt Mahoney <[email protected]>
>>>>> wrote:
>>>>>
>>>>>> ...
>>>>>>
>>>>>> There's something I'm not getting. Why does the brain need 10^15
>>>>>> synapses to store 10^9 bits? Maybe it's a speed optimization, like how
>>>>>> a server farm has a million copies of Linux, or your body has 10^13
>>>>>> copies of your DNA. Or is it something else? Is it the reason we
>>>>>> didn't solve AI in 2000?
>>>>>>
>>>>>
>>>>> I suspect it has to do with Bekenstein bound placing data points in
>>>>> such a high dimensional space that they are all on a surface where they 
>>>>> can
>>>>> be treated as orthogonal.
>>>>>
>>>>
>>>> How is that so? I realize that random bit vectors all have an average
>>>> Hamming distance of n/2, which puts them all on a hypersphere surface
>>>> surrounding any one of them. But word vectors are not like that. Some are
>>>> more correlated than others. They would have to be, because otherwise text
>>>> would not be predictable and we wouldn't have AI.
>>>>
>>>> I realize that other parts of the brain are highly repetitive, like
>>>> thousands of copies of line and edge detectors in the visual cortex, or
>>>> thousands of motor neurons controlling the same muscle. Language evolved
>>>> relatively recently and there is not a lot of evolutionary pressure to
>>>> optimize it. It uses maybe 10% of our brain, or 2% of resting metabolism.
>>>>
>>>> The Bekenstein bound is different. Space only has 3 dimensions. It
>>>> might explain the size of the proton* but I don't see how it explains
>>>> language. We already have LLMs that are not far off the 0.3 bits per
>>>> parameter stored in a Hopfield net.
>>>>
>>>> * The Bekenstein bound of the Hubble radius is A/ln(16) of its surface
>>>> area in Planck units, or 2.95 x 10^122 bits. This is about the number of
>>>> protons or neutrons that would fit inside, which is a strange coincidence
>>>> given that the number depends only on h, G, c, and the age of the universe.
>>>>
>>>>> *Artificial General Intelligence List
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