https://arxiv.org/abs/2501.07614 https://www.nature.com/articles/246396a0 https://www.youtube.com/watch?v=2gd-x-Yl5ac https://www.youtube.com/watch?v=m62ntuQS7xc https://www.youtube.com/watch?v=-aGkL7RCXO0 https://arxiv.org/abs/2502.00081 videogames with hypermovement broken physics https://www.reddit.com/r/speedrun/comments/1iskm1c/which_games_have_the_best_hypermovement_glitches/ How does classical emerge from quantum https://en.wikipedia.org/wiki/Quantum_Darwinism https://arxiv.org/abs/2501.07614 https://en.m.wikipedia.org/wiki/Inverse_problem_for_Lagrangian_mechanics?hl=en-US#:~:text=In%20mathematics%2C%20the%20inverse%20problem,German%20physicist%20Hermann%20von%20Helmholtz. "This paper proposes a novel model architecture, the Hamiltonian neural network (HNN)-Transformer, which capitalizes on the strengths of both Hamiltonian neural networks and Transformers to effectively model and predict the behavior of physical systems. The HNN component of our model makes it possible to incorporate known physical laws into the learning process, while the Transformer component enables effective processing of sequentially input data. The performance of the proposed method was confirmed through simulation, and it was confirmed that this novel model is possible to leverage the strengths of both HNNs and Transformers to achieve improved performance than the existing independent HNN and Transformer on the challenging task, respectively. This suggests that the integration of physical understanding and sequence processing is a promising direction for modeling complex dynamic systems." https://ieeexplore.ieee.org/document/10316909 https://en.wikipedia.org/wiki/Alcubierre_drive spacecraft could achieve apparent faster-than-light travel by contracting space in front of it and expanding space behind it "The indivisible stochastic process interpretation of quantum mechanics proposes that quantum systems can be understood as stochastic processes that lack the “Markov property,” meaning they cannot be broken down into independent, sequential steps. Instead, they evolve over finite chunks of time through a more general, non-Markovian, stochastic law. This interpretation, developed by Jacob Barandes, suggests that the core features of quantum mechanics, such as quantum interference, decoherence, and entanglement are an artifact of the indivisible dynamics of the underlying indivisible stochastic processes being approximated by Markovian dynamics in the Hilbert space formalism of quantum mechanics." https://youtu.be/gINYis8BgSY?si=s1-6sT3ch-X99Nla https://arxiv.org/abs/2507.21192 https://ncatlab.org/nlab/show/indivisible+stochastic+process+interpretation+of+quantum+mechanics Towards "unification between physics and computer science to understand the relationship between energy and information" https://x.com/hadivafaii/status/2033653562774007812 https://home.cern/news/news/physics/lhcb-collaboration-discovers-new-proton-particle https://en.wikipedia.org/wiki/Phenomenological_quantum_gravity Hilbert's sixth problem: derivation of fluid equations via Boltzmann's kinetic theory https://arxiv.org/abs/2503.01800 "In this paper, we rigorously derive the fundamental PDEs of fluid mechanics, such as the compressible Euler and incompressible Navier-Stokes-Fourier equations, starting from the hard sphere particle systems undergoing elastic collisions. This resolves Hilbert's sixth problem, as it pertains to the program of deriving the fluid equations from Newton's laws by way of Boltzmann's kinetic theory. The proof relies on the derivation of Boltzmann's equation on 2D and 3D tori, which is an extension of our previous work"