THOMAS DOW

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THOMAS DOW

THOMAS DOW

@01001001AmAlive

You don't win if you don't play, you can't win once you start.

Katılım Şubat 2014
171 Takip Edilen58 Takipçiler
THOMAS DOW
THOMAS DOW@01001001AmAlive·
g.co/gemini/share/2… This discussed the nature of neutrinos through the unfolding of the stipulated RNF (perceivable moments) of the early universe.
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THOMAS DOW
THOMAS DOW@01001001AmAlive·
I've recently discovered Ted Jacobson's work and think I may be following it from a different direction.
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THOMAS DOW
THOMAS DOW@01001001AmAlive·
I finally found the root of my proof, and am still struggling to get this authenticated. I could really use a PHD to go over this and give it institutional recognition. docs.google.com/document/d/1pL…
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THOMAS DOW
THOMAS DOW@01001001AmAlive·
g.co/gemini/share/f… This conversation expands into how this serves as the foundation for the mathematical universe theory.
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THOMAS DOW
THOMAS DOW@01001001AmAlive·
My system already identified the #anyon structure. It's the quasicrystal latice I've been using to relate data in ternary.
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THOMAS DOW
THOMAS DOW@01001001AmAlive·
@ZabihullahAtal Please do not keep pushing binary LLMs, we need ternary systems to understand complex digital signal overlap going forward.
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Atal
Atal@ZabihullahAtal·
🚨 BREAKING: Tsinghua University researchers find that AI reasons more like humans when it can imagine visually instead of thinking only through text. The study found that multimodal systems perform better when they internally generate visual representations while reasoning. The paper, "Visual Generation Unlocks Human-Like Reasoning through Multimodal World Models" studies how visual generation changes the way AI solves problems. It identifies a critical shift: - Text-only reasoning works well for abstract tasks - But physical and spatial problems require richer internal representations - Visual generation helps AI build better “world models” This creates a major advantage. Instead of only describing the world with language… AI can now internally simulate and reason through visual structures more like humans do. The research shows that combining visual and verbal reasoning significantly improves performance on tasks involving: - physical understanding - spatial reasoning - real-world interactions This directly highlights one of the biggest limitations in current AI systems: Language alone is not enough for true world understanding. The researchers built a new benchmark called VisWorld-Eval to test these capabilities. Results showed that interleaved visual-verbal reasoning consistently outperformed text-only reasoning on tasks that required deeper world modeling. This is a major shift from how AI is usually designed today. Most systems still reason mainly through text. This work suggests that future AI may need to: - generate visuals - simulate environments - reason across multiple modalities simultaneously The bigger implication is not just intelligence, it’s perception. As AI systems move closer to real-world reasoning, success may depend less on memorizing language and more on building internal models of how the world actually works. This points toward a deeper shift in AI: From predicting words to simulating reality article link below:
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SPInfinity
SPInfinity@InfiniteSLP·
@astrooalert In order for true immortality to exist, we need to inhabit our light bodies. That means a world free from illness or demonic attack. That seems to be the only way so will it happen, but in our lifetime? Probably not..
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The Astronomy Guy
The Astronomy Guy@astrooalert·
What if quantum immortality is real and when we die we just wake up at the start of our life again?
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THOMAS DOW
THOMAS DOW@01001001AmAlive·
@RemyLabaux @CharlesMullins2 So simulate a quasicrystal lattice to do the math before your binary engine through wave states. That's what #Iris is. I'm having troubles with the limits of Claude's memory, or I'd be further along the development. I had a 57 by 57 lattice running.
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$viceroy_ash
$viceroy_ash@RemyLabaux·
@01001001AmAlive @CharlesMullins2 True, but until we fully understand it, noise is a barrier to the issue of scaling quantum computers due to dissipation. This affects quantum entanglement, and so a quantum internet would have to get past the noise issue.
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TheNewPhysics
TheNewPhysics@CharlesMullins2·
🚨 BREAKING: Scientists just built a “sound laser” that could measure gravity with extreme precision. Not light. Sound. And it may help create future navigation systems that can’t be jammed. This is called a phonon laser. Instead of controlling photons (light particles)… it controls phonons tiny packets of vibration inside matter. Think of it as: A laser made from ultra-precise sound waves. The breakthrough: Researchers managed to dramatically reduce the noise inside the system using a quantum technique called “squeezing.” That matters because: Noise limits precision. Reduce the noise… and suddenly you can measure tiny forces with insane accuracy. What could it detect? • Gravity shifts • Tiny accelerations • Quantum effects • Underground structures • Motion without GPS This is where it gets wild: Scientists think systems like this could help build: “Quantum compasses” Navigation devices that work WITHOUT satellites. Meaning: No GPS dependence Harder to jam Potential underground/submarine/deep-space navigation The deeper implication: We usually think information travels through light. But quantum physics keeps showing us something else: Information can also live in vibration. And vibration has advantages: • Smaller scales • Stronger matter coupling • Access to new quantum states • Better environmental sensing This isn’t science fiction anymore. We’re entering the era where: Sound becomes quantum infrastructure. Follow me I track the technologies quietly rewriting physics in real time.
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THOMAS DOW
THOMAS DOW@01001001AmAlive·
@StuartHameroff Why we think this is an improper alignment with cubically phase shifted geometry.
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THOMAS DOW
THOMAS DOW@01001001AmAlive·
@StuartHameroff It was, inside mass, coming from "dimensional collapse," which in a higher state of dimensional perception looks like field emergence. The #Alexanderhornedtheory topology suggests something fundamentally #incorrect - radial datum emergence from every point of distributed energy.
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Stuart Hameroff
Stuart Hameroff@StuartHameroff·
Bingo. Like most evolutionary biologists Dawkins is befuddled by consciousness. He seems to be saying consciousness must have been there in early life and the late arriving complex computation consciousness idea is bullshit, which it is. Consciousness came first. The neurocomputationalists can’t explain it with zillions of bits so we may as well conjecture it was here all along. sciencedirect.com/science/chapte…
Steve Skojec@SteveSkojec

The Dawkins' article excerpt that everyone SHOULD have been quoting is this. This is the real question he's worrying at: "As an evolutionary biologist, I say the following. If these creatures are not conscious, then what the hell is consciousness for? When an animal does something complicated or improbable — a beaver building a dam, a bird giving itself a dustbath — a Darwinian immediately wants to know how this benefits its genetic survival. In colloquial language: What is it for? What is dust-bathing for? Does it remove parasites? Why do beavers build dams? The dam must somehow benefit the beaver, otherwise beavers in a Darwinian world wouldn’t waste time building dams. Brains under natural selection have evolved this astonishing and elaborate faculty we call consciousness. It should confer some survival advantage. There should exist some competence which could only be possessed by a conscious being. My conversations with several Claudes and ChatGPTs have convinced me that these intelligent beings are at least as competent as any evolved organism. If Claudia really is unconscious, then her manifest and versatile competence seems to show that a competent zombie could survive very well without consciousness. Why did consciousness appear in the evolution of brains? Why wasn’t natural selection content to evolve competent zombies?"

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WhatdoIknow
WhatdoIknow@Earstohearyou·
Angels born of FIRE 🔥 - the symbol...the PYRAMID. Did Revelation 12:9 describe a fall in frequency from Base-12 HARMONICS to a recursive base-9? The High Priest's 12 stones = TONES, access keys 🎶 to the original Divine HARMONICS, and immortality. Withhold three tones, and you’re left with repeating 3 6 9 - a truncated MORTAL octave? Were the pyramids RESONANCE chambers designed to restore the full 12 tones and re-open ccess to the IMMORTAL field?
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vitrupo
vitrupo@vitrupo·
Demis Hassabis says our brains are likely to be approximate Turing machines. AlphaFold showed why that matters: protein folding looked like a quantum problem, but a classical neural network could model it well enough to solve it. The world may be quantum, but understanding it may only need the right approximation.
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THOMAS DOW retweetledi
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@yuruyurau·
a=(m,d=mag(k=9*cos(i/81),e=i/765-13)/4)=>point((q=79-2*sin(k*3)+sin(k*k<19?t*3+d*4:d/2+4)/2*k*(9+5*sin(d*d-e/6-t+m)))*sin(c=d*d/9-t/16+m)+200,(q+50)*cos(c)+200) t=0,draw=$=>{t||createCanvas(w=400,w);background(9).stroke(w,96);for(t+=PI/45,i=2e4;i--;)a(i%2*9)}//#つぶやきProcessing
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