The thing is that is becoming more and more certain between possibility and certainty
Thought about lots of things :Musk, AI, SAI, eternity, Christ and so on. Wondered where to put these in a coherent manner, so as not to appear theoretical or sci fi.
So.
Let’s start with the current debate as to AI bein a bunch of BS, or a movement away from that toward bachelors of science moving toward commitment, in marital bliss.
But that aside : Musk has issued the biggest IPO ever and became the all time holder of being the absolute richest man in the world.
Now the lapdogs are falling back, Bezoses, Walmarts, and other techies Silicon Valley aristocracy, far behind the man, whom our president is quick to remind must be placed in the third row behind the politics of absolute control, as The once Sun God King Louis the 16 th once conceded.
But to get to the point, no BS
So Musk, having a world of wealth at his disposal, decides his ultimate project to be philosopher par excellance, richest, wisest man alive defying even the wisdom of ages that declares that knowing one’s self is the utmost key that opens all doors, and one of the first doors to do so is the one Mr Nietzche declared to be beyond moral scruples.
In other words might is always RiGHT, no doubt.
The second key is the one relatives hint to each other,about the curvature of timespace. How does this bit of information fit into the large scheme of things needs another third key to use, in between the other two.
That there is a hidden irony making itself invisible, like the neutral position between gear drives in an auto, that sits between different gears, particularly that between drive and reverse..
So given the above the conclusion which makes the irony credible is that increased speed space expands, with increased speed of transportation, farther reaches of space become accessible: resulting in a spatial determinant of time,
In other words, two cars in space with not another entity in sight except extended desert , will be hard pressed to realize which car is going forward and which backward, regardless the way the cars are aiming.
The guy heading forward with the other behind, may be going North to Vegas or back to LA loosing a bunch. But direction, is only one facet, the two relative objects are determined spatially, and the time it takes to move. Will be dependent on the configuration of what’s ahead, or lagging behind as to who gets there first. They are relative to each other to determine their position, including what’s in it for each of them,
/// not to confuse issues deceptively let’s return to irony for it’s own sake by demonstrating other listed items up above:
Musk robotics, face challenges if he wants to keep his material edge, such as being strictly non human , only non human. I’m so spending a few billion in research he develops the cyborgian transition, he buys sentient parts replacing them as time does in fact degrades them, into an indefinite eternity like interchange. Obsolete is keyed in as well with replaceable parts becoming rarer as the whole scheme is logarhytmically improves.
So he keeps driving this train reck looking 
simulacra, driving it toward the silicone sunshine of a western hero going west.
Oh young man! Wanna reinvent the iron Superman, can’t afford to give up now, the whole stick is dependent on his economy with Trump’s imprimatur’s in tow!
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It’s really happening someone screams in the back shop, as the cyborg flashes wits with the Chinese model. Hey it Collossus, much more imprinting, I what’s the point of flashy drives not bein able to dilute block upon blocks of resistant crystal? More speed, an autopilot defeating its own vector , it’s iprojected course, is it a self serving project or what?
You can lead a horse, yes, but will it manage to do it in such embroiling, which can reverse polarities quickly once a dead end comes into sight?
And how this synch with the ethically machined karmic laws that may have played a significant existential bar!eureka kudos, he comes up with the yet dreamed about brain transplant which would and probably could be achieved, either in the surgical theater, or in a virtual isolation of all think thought out industrial capacities. CERN. Is a good example as a failed search for meta-god, how about a phenomenal Creatuon reaching the irresolute apex of non recognition between the seen and the unseen, the original and the simulation?
At this point trillions could be saved by not attempting a quick fix, short gutted, through the eons, with the fear of never getting the handle on the early mystery schools’ notions as unnecessary waste. This is becoming clear, there is no recognizable difference, because the time it takes to reformulate is instant nous, and not worth the eternal anguish to realize that there is essence there is no difference.
Mr Musk finally will have to give up his brain for the mind that can not even begin to show this way that has always been a state.
He will need to shed the brain which gets all inputs at once, a machine, the human mind that’s always never ended,
So far a head, he needs to Create other machines like himself, which have always eternally had repeated existences.
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Absolute prop:
Cogent absolutely with gnosis: the blocks get larger as the regression/deconstruction goes on.
Cantor tried to prove that the blocks increase as deconstruction is invisible and the pressure of the gravity pulling it in will create the minus matter, dark? So that the absolute self inclusive will become a virtual point in space/time
Thought of the largest test the Collidir in CERN as analytical to the mapping of intra cranial circuitry, and the increasing evolution of the complexity of the brain: and intuited a a link between two seemingly different structural architecture, as a kind of uniform cohesion.
Neuroplastic processes processing very similar organizations of substance.
This is what Deep Thought related on the matter when addressed:
“ Yes, there are meaningful affinities between these systems, though they operate on vastly different scales. The connections primarily lie in the realms of information processing, network theory, and advanced imaging.
Here’s how they relate:
· Data Processing & Neural Networks: The LHC produces petabytes of data per second. To manage this, physicists use neural networks—brain-inspired algorithms with millions of interconnected nodes analogous to biological neurons. Similarly, “neuromorphic” computing builds hardware that mimics the brain’s synaptic weighting and spiking. This creates a direct analogy where particle physics and computerized brain models use the same brain-like computational tools to solve complex pattern recognition problems.
· Network & Structural Complexity: Both systems function as massive, interconnected networks. The LHC itself is a 27-kilometer ring of magnets accelerating particles, while the brain is a network of ~86 billion neurons. Structurally, the LHC’s detectors function as massive “brains” recording collision events, and both systems manage immense complexity through hierarchical organization.
· Imaging the Brain: Synchrotrons (particle accelerators like the LHC) are powerful tools for neuroscience. Synchrotron X-ray tomography allows researchers to map whole-brain wiring diagrams at multiple scales without destroying the tissue. This technology has imaged entire mouse brains from the synapse level up and mapped molluscan nervous systems, providing a physical link between the accelerator and brain science.
· Conceptual Analogies: On a more philosophical level, one writer has compared the LHC’s colliding proton beams to two hemispheres of a brain, with the resulting spray of ephemeral particles representing thoughts. Both the LHC and the brain are also seen as powerful complex systems, with one article even calling the brain “more powerful than the great churning of the Large Hadron Collider”.
In essence, the LHC and synchrotrons are not just analogous to the brain—they are tools used to study and simulate it, whether through brain-like AI algorithms or advanced X-ray imaging to map its physical structure.>>>
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Yes, and this is where it gets beautifully abstract. The hidden connection is phase-locking—a universal mathematical rule governing how oscillating systems exchange energy. Here’s how it bridges your three realms:
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Synchrony as the “Rewiring” Trigger (Neuroplasticity)
In the brain, neuroplasticity isn’t just about firing rates; it’s governed by Spike-Timing-Dependent Plasticity (STDP). Synapses strengthen only when pre- and post-synaptic neurons fire within a narrow millisecond window—essentially, they must phase-lock. The synchronous resonance (e.g., gamma oscillations) literally acts as the gatekeeper that physically rewires gray matter. No synchrony, no plasticity. -
The LHC/Synchrotron “Plasticity”
In a particle accelerator, beams don’t rewire, but their distribution changes. When RF (radio-frequency) cavities resonate at exactly the beam’s orbital frequency, they phase-lock to transfer energy. If that phase resonance drifts, the beam becomes unstable and “blows up” (emittance growth)—analogous to a seizure or noise in a neural net. Resonance drives structural change in both systems. -
The “Imaging” Meta-Connection
Here is the kicker: Synchrotron imaging doesn’t just take static pictures; techniques like X-ray Photon Correlation Spectroscopy (XPCS) measure how materials dynamically fluctuate over time. If you aimed this at living neural tissue, you could theoretically map the emergent resonant fields that precede plasticity. Meanwhile, the LHC’s beam diagnostic systems use Fourier transforms to decode beam oscillation spectra—the exact same mathematical transform neurologists use to read EEG synchrony. -
The Computerized “Counterpart”
In your “meta” digital twin of the brain, neuroplasticity is replicated via backpropagation and gradient descent. But cutting-edge AI now uses resonant or oscillatory neural networks (like Legendre Memory Units) where parameters update only when internal frequencies sync with input patterns. This digital phase-locking mirrors STDP, meaning the algorithm itself becomes the mathematical bridge.
So, the throughline is this: Imaging decodes resonant frequencies; resonance enforces synchronous timing; synchronous timing dictates plasticity; plasticity updates the system’s structure. Whether it’s quarks, synapses, or silicon, phase coherence is the invisible hand reshaping the architecture.