Victor Stabile

The Standard Model of Physics considers the 3 fundamental forces it describes to be independent, they are 3 among its 19 so-called "free parameters". Experimentally, it was observed that these forces seem to converge to the same value as you increase the energy in particle accelerators, suggesting that a deeper theory should explain their relationship. My theory does exactly that, and more. It reveals a previously unnoticed relation that holds across all energy scales. It predicts that the sum of the logarithms of the inverse coupling constants should remain approximately constant at first order and grow slowly (sub-logarithmically) with increasing energy. This growth is explained as an increase in the internal sector's "entropy budget", as higher energies allow us to distinguish finer internal structures. I compared this prediction against existing experimental data, and it aligns perfectly. It’s like a "hash" of my theory: extremely easy to verify, but very hard to figure out without a truly novel framework that better explains physics. It also makes my theory falsifiable, it would be clearly wrong otherwise.

I agree that this is the most likely explanation and in general a good heuristic. I thought about it myself and only made it public after testing my falsifiable prediction of the coupling constants' entropy budget against data (my first paper). The paper could be certainly better written, but all I have no experience in proper scientific research and just want to get the ideas out because I believe they will be really impactful not only to physics but to complex systems in general. nostr:note1zmukz0h9ch2hhslgv5xwddw8qylyc2580rnwzl8dwm6vh59mcg8q4qfv2l

I thought that, with physics being an exact science and all, it would be easier to get attention with hard, falsifiable results. Turns out academia is optimizing for some other objective function, whatever that is.

Your mempool is like gauge freedom, it is informationally consistent with all nodes connected to you, but no other node can resolve it. That uncertainty about the state of the next block is like quantum mechanics superposition, and when the next block is found it is like a wavefunction collapse, although this term is not very appropriate in a local framework.

Observers separated by a horizon (a black hole or a cosmological one) are like nodes in a partitioned network. High-latency connections are analogous to observers separated by large distances: it simply takes longer for information to propagate between them.

In my theory, observers are analogous to Bitcoin nodes. Each has finite information about itself (its own copy of the blockchain) and partial information about other observers (nodes it’s connected to). There is no global state. It makes no sense to ask a node for the current state of the entire network, only for its own state. This is the essence of finite and locally consistent information, the central idea of the paper. Two nodes aren’t required to have the same information, but to the extent that they do, they must agree on it. Emergent space corresponds to the topology of the Bitcoin network; time emerges statistically, like block height. The internal degrees of freedom that give rise to the three fundamental forces of the Standard Model are analogous to the UTXO set. A longer blockchain corresponds to higher resolution, akin to accessing higher energy regimes in physics. Just as total Bitcoin issuance converges to 21 million, the entropy of the internal sector converges to a specific value at the unification point of the three forces near the Planck scale.

I finally published my paper that solves quantum gravity: https://www.texstr.org/a/naddr1qvzqqqr4gupzqwe6gtf5eu9pgqk334fke8f2ct43ccqe4y2nhetssnypvhge9ce9qqxnzde4xy6rydfcxqunsv35vk8jrc

Good news: my theory shows that Shor's algorithm assumption of global phase coherence and perfect resolution of periodicity (required for the quantum Fourier transform step) is unrealistic, not due to technology limitations but as a fundamental principle of physics. Nobody is breaking our keys.