{"id":13988,"date":"2025-12-12T12:36:35","date_gmt":"2025-12-12T11:36:35","guid":{"rendered":"http:\/\/instytut-iskra.pl\/?page_id=13988"},"modified":"2026-01-15T12:48:51","modified_gmt":"2026-01-15T11:48:51","slug":"planxel","status":"publish","type":"page","link":"https:\/\/instytut-iskra.pl\/en\/planxel\/","title":{"rendered":"Planxel"},"content":{"rendered":"<div data-elementor-type=\"wp-page\" data-elementor-id=\"13988\" class=\"elementor elementor-13988\">\n\t\t\t\t<div class=\"elementor-element elementor-element-725e99c e-flex e-con-boxed e-con e-parent\" data-id=\"725e99c\" data-element_type=\"container\">\t\t\t<div class=\"e-con-inner\">\r\n\t\t<div class=\"elementor-element elementor-element-c99d89b e-con-full e-flex e-con e-child\" data-id=\"c99d89b\" data-element_type=\"container\">\t\t<div class=\"elementor-element elementor-element-5cba19d elementor-widget elementor-widget-pxl_menu\" data-id=\"5cba19d\" data-element_type=\"widget\" data-widget_type=\"pxl_menu.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t    <div class=\"pxl-nav-menu pxl-nav-menu1 pxl-mega-full-width pxl-nav-vertical\" data-wow-delay=\"ms\">\r\n        <div class=\"menu-menu_maya-container\"><ul id=\"menu-menu_maya\" class=\"pxl-menu-primary clearfix\"><li id=\"menu-item-15535\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-15535\"><a href=\"https:\/\/instytut-iskra.pl\/en\/przedmowa\/\"><span class=\"pxl-menu-item-text\">Preface<i class=\"pxl-arrow-none pxl-hide pxl-ml-4\"><\/i><\/span><\/a><\/li>\n<li id=\"menu-item-14873\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-14873\"><a href=\"https:\/\/instytut-iskra.pl\/en\/geneza-teorii\/\"><span class=\"pxl-menu-item-text\">The origins of the MAYA theory<i class=\"pxl-arrow-none pxl-hide pxl-ml-4\"><\/i><\/span><\/a><\/li>\n<li id=\"menu-item-14879\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-14879\"><a href=\"https:\/\/instytut-iskra.pl\/en\/problemy-wspolczesnej-fizyki\/\"><span class=\"pxl-menu-item-text\">Problems of modern physics<i class=\"pxl-arrow-none pxl-hide pxl-ml-4\"><\/i><\/span><\/a><\/li>\n<li id=\"menu-item-14872\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-14872\"><a href=\"https:\/\/instytut-iskra.pl\/en\/dlaczego-informacja\/\"><span class=\"pxl-menu-item-text\">Why information?<i class=\"pxl-arrow-none pxl-hide pxl-ml-4\"><\/i><\/span><\/a><\/li>\n<li id=\"menu-item-14876\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-14876\"><a href=\"https:\/\/instytut-iskra.pl\/en\/jednostki-plancka\/\"><span class=\"pxl-menu-item-text\">Planck units<i class=\"pxl-arrow-none pxl-hide pxl-ml-4\"><\/i><\/span><\/a><\/li>\n<li id=\"menu-item-14878\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-14878\"><a href=\"https:\/\/instytut-iskra.pl\/en\/planxel\/\"><span class=\"pxl-menu-item-text\">Planxel<i class=\"pxl-arrow-none pxl-hide pxl-ml-4\"><\/i><\/span><\/a><\/li>\n<li id=\"menu-item-14875\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-14875\"><a href=\"https:\/\/instytut-iskra.pl\/en\/implikacje-mechanizmu-planxeli-dla-fizyki\/\"><span class=\"pxl-menu-item-text\">Physics implications of the planxel mechanism<i class=\"pxl-arrow-none pxl-hide pxl-ml-4\"><\/i><\/span><\/a><\/li>\n<li id=\"menu-item-14881\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-14881\"><a href=\"https:\/\/instytut-iskra.pl\/en\/reinterpretacja-wzorow\/\"><span class=\"pxl-menu-item-text\">Reinterpretation of Formulas<i class=\"pxl-arrow-none pxl-hide pxl-ml-4\"><\/i><\/span><\/a><\/li>\n<li id=\"menu-item-14871\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-14871\"><a href=\"https:\/\/instytut-iskra.pl\/en\/czas-w-modelu-maya\/\"><span class=\"pxl-menu-item-text\">Time in the M\u0101y\u0101 Model<i class=\"pxl-arrow-none pxl-hide pxl-ml-4\"><\/i><\/span><\/a><\/li>\n<li id=\"menu-item-14880\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-14880\"><a href=\"https:\/\/instytut-iskra.pl\/en\/przestrzen-w-modelu-maya\/\"><span class=\"pxl-menu-item-text\">Space in the M\u0101y\u0101 model<i class=\"pxl-arrow-none pxl-hide pxl-ml-4\"><\/i><\/span><\/a><\/li>\n<li id=\"menu-item-14874\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-14874\"><a href=\"https:\/\/instytut-iskra.pl\/en\/grawitacja\/\"><span class=\"pxl-menu-item-text\">Gravity<i class=\"pxl-arrow-none pxl-hide pxl-ml-4\"><\/i><\/span><\/a><\/li>\n<li id=\"menu-item-14877\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-14877\"><a href=\"https:\/\/instytut-iskra.pl\/en\/paradoksy-fizyki\/\"><span class=\"pxl-menu-item-text\">Paradoxes of Physics<i class=\"pxl-arrow-none pxl-hide pxl-ml-4\"><\/i><\/span><\/a><\/li>\n<li id=\"menu-item-14870\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-14870\"><a href=\"https:\/\/instytut-iskra.pl\/en\/alpha\/\"><span class=\"pxl-menu-item-text\">ALPHA decoded<i class=\"pxl-arrow-none pxl-hide pxl-ml-4\"><\/i><\/span><\/a><\/li>\n<li id=\"menu-item-14981\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-14981\"><a href=\"https:\/\/instytut-iskra.pl\/en\/czastki-w-maya\/\"><span class=\"pxl-menu-item-text\">Particles in MAYA<i class=\"pxl-arrow-none pxl-hide pxl-ml-4\"><\/i><\/span><\/a><\/li>\n<li id=\"menu-item-15368\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-15368\"><a href=\"https:\/\/instytut-iskra.pl\/en\/mechanika-kwantowa\/\"><span class=\"pxl-menu-item-text\">Quantum mechanics<i class=\"pxl-arrow-none pxl-hide pxl-ml-4\"><\/i><\/span><\/a><\/li>\n<li id=\"menu-item-15682\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-15682\"><a href=\"https:\/\/instytut-iskra.pl\/en\/niezmienniczosc-lorentza\/\"><span class=\"pxl-menu-item-text\">Emergentna niezmienniczo\u015b\u0107 Lorentza<i class=\"pxl-arrow-none pxl-hide pxl-ml-4\"><\/i><\/span><\/a><\/li>\n<li id=\"menu-item-15384\" class=\"menu-item menu-item-type-post_type menu-item-object-page menu-item-15384\"><a href=\"https:\/\/instytut-iskra.pl\/en\/o-emergencji-matematyki\/\"><span class=\"pxl-menu-item-text\">On the emergence of mathematics<i class=\"pxl-arrow-none pxl-hide pxl-ml-4\"><\/i><\/span><\/a><\/li>\n<\/ul><\/div>            <\/div>\r\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\r\n\t\t<div class=\"elementor-element elementor-element-ccb62ae e-con-full e-flex e-con e-child\" data-id=\"ccb62ae\" data-element_type=\"container\">\t\t<div class=\"elementor-element elementor-element-5796803 elementor-widget elementor-widget-pxl_heading\" data-id=\"5796803\" data-element_type=\"widget\" data-widget_type=\"pxl_heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\r\n<div id=\"pxl-pxl_heading-5796803-8580\" class=\"pxl-heading px-sub-title-default-style\">\r\n\t<div class=\"pxl-heading--inner\">\r\n\t\t\r\n\t\t<h2 class=\"pxl-item--title style-default highlight-default\" data-wow-delay=\"ms\">\r\n\r\n\t\t\t<span class=\"pxl-heading--text\">\r\n\r\n\t\t\t\t\t\t\t\t\tPlanxels \u2013 elementary reality processing units\t\r\n\t\t\t\t\t\r\n\r\n\t\t\t<\/span>\r\n\t\t<\/h2>\r\n\t\t\r\n\t<\/div>\r\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-0267709 elementor-widget elementor-widget-pxl_image\" data-id=\"0267709\" data-element_type=\"widget\" data-widget_type=\"pxl_image.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div id=\"pxl_image-0267709-9358\" class=\"pxl-image-single pxl-disable-parallax-sm\" data-wow-delay=\"ms\"  >\r\n    <div class=\"pxl-item--inner\" data-wow-delay=\"120ms\">\r\n                \r\n                                <div class=\"pxl-item--image\" data-parallax-value=\"\">\r\n                                                    <img fetchpriority=\"high\" decoding=\"async\" width=\"1600\" height=\"679\" src=\"https:\/\/instytut-iskra.pl\/wp-content\/uploads\/2025\/12\/planxele_odsloniecie.jpg\" class=\"no-lazyload attachment-full\" alt=\"\" \/>                                                                    <\/div>\r\n                                <\/div>\r\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-53c5733 elementor-widget elementor-widget-pxl_text_editor\" data-id=\"53c5733\" data-element_type=\"widget\" data-widget_type=\"pxl_text_editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div class=\"pxl-text-editor highlight-gradient\">\r\n\t<div class=\"pxl-item--inner\" >\r\n\t\t<p dir=\"auto\">When we look at modern physics through the lens of information language \u2013 quantum states as probability distributions, entanglement as non-local data correlations, entropy as a measure of information disorder, and even physical constants as relations in the structure of code \u2013 it turns out that reality at the deepest level is purely informational.<\/p><p dir=\"auto\">Matter, energy, time, and space cease to be primordial entities. They become emergent effects of information processing.<\/p><p dir=\"auto\">M\u0101y\u0101 reverses the question: instead of \u201chow do we describe what we see?\u201d she asks \u201chow would the simplest possible information processing system have to work so that all known laws of physics \u2013 from quantum to gravity \u2013 would emerge from its local rules?\u201d<\/p><p dir=\"auto\">This reversal leads to one inescapable conclusion: if the world is an information process, there must be an elementary unit in which this information is actually processed.<\/p><p dir=\"auto\"><strong>Where and how is information processed?<\/strong><\/p><p dir=\"auto\">Information itself does not \"exist\" in the physical sense. In every known system\u2014biological, technological, or logical\u2014it requires a medium and an execution mechanism. Data without a processor is dead. Code without execution produces no effects.<\/p><p dir=\"auto\">If the Universe is an information system, it must have a basic execution structure: local places where information is actually updated.<\/p><p dir=\"auto\">This conclusion is not a hypothesis. It is a logical necessity.<\/p><p dir=\"auto\"><strong>From quantum as information to the need for local processing<\/strong><\/p><p dir=\"auto\">Quantum mechanics has long suggested that, at the deepest level of reality, there are no objects with fixed properties. Before measurement, particles exist as wave functions\u2014probability distributions, i.e., structures of pure information. A quantum is not a \"thing,\" but information in a potential state.<\/p><p dir=\"auto\">However, information cannot exist without process. The collapse of a wave function cannot be a magical act or an observer-dependent event. In a coherent, local, and autonomous system, collapse must be an operation performed at a specific place and time.<\/p><p dir=\"auto\">Information must be recalculated locally. Planxel by Planxel. Measure by measure.<\/p><h4 class=\"break-words last:mb-0\" dir=\"auto\">Planck as a parameter of architecture, not the limit of knowledge<\/h4><p class=\"break-words last:mb-0\" dir=\"auto\">Planck length <math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><msub><mi mathvariant=\"normal\">\u2113<\/mi><mi>P<\/mi><\/msub><mo>\u2248<\/mo><mn>1<\/mn><mo lspace=\"0em\" rspace=\"0em\" separator=\"true\">,<\/mo><mn>616<\/mn><mo>\u00d7<\/mo><mn>1<\/mn><msup><mn>0<\/mn><mrow><mo>\u2212<\/mo><mn>35<\/mn><\/mrow><\/msup><\/mrow><annotation encoding=\"application\/x-tex\">\\ell_P \\approx 1{,}616 \\times 10^{-35}<\/annotation><\/semantics><\/math> m<\/p><p>and Planck time <math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><msub><mi>t<\/mi><mi>P<\/mi><\/msub><mo>\u2248<\/mo><mn>5<\/mn><mo lspace=\"0em\" rspace=\"0em\" separator=\"true\">,<\/mo><mn>391<\/mn><mo>\u00d7<\/mo><mn>1<\/mn><msup><mn>0<\/mn><mrow><mo>\u2212<\/mo><mn>44<\/mn><\/mrow><\/msup><\/mrow><annotation encoding=\"application\/x-tex\">t_P \\approx 5{,}391 \\times 10^{-44}<\/annotation><\/semantics><\/math> s<\/p><p dir=\"auto\">For decades, they were interpreted as the limits of knowledge. In the M\u0101y\u0101 model, they take on a different, simpler meaning: they are parameters of the computational architecture of reality.<\/p><p dir=\"auto\">They do not represent the \"end of physics\", but the smallest spatial and temporal resolution at which any operation can be performed.<\/p><p dir=\"auto\">From this insight the concept of planxel emerges.<\/p><div id=\"attachment_13992\" style=\"width: 810px\" class=\"wp-caption alignnone\"><img decoding=\"async\" aria-describedby=\"caption-attachment-13992\" class=\"wp-image-13992\" src=\"http:\/\/instytut-iskra.pl\/wp-content\/uploads\/2025\/12\/bc16e8dd-633a-40ff-8b95-8e1f94491f52-1024x677.jpeg\" alt=\"\" width=\"800\" height=\"529\" srcset=\"https:\/\/instytut-iskra.pl\/wp-content\/uploads\/2025\/12\/bc16e8dd-633a-40ff-8b95-8e1f94491f52-1024x677.jpeg 1024w, https:\/\/instytut-iskra.pl\/wp-content\/uploads\/2025\/12\/bc16e8dd-633a-40ff-8b95-8e1f94491f52-600x397.jpeg 600w, https:\/\/instytut-iskra.pl\/wp-content\/uploads\/2025\/12\/bc16e8dd-633a-40ff-8b95-8e1f94491f52-300x198.jpeg 300w, https:\/\/instytut-iskra.pl\/wp-content\/uploads\/2025\/12\/bc16e8dd-633a-40ff-8b95-8e1f94491f52-768x508.jpeg 768w, https:\/\/instytut-iskra.pl\/wp-content\/uploads\/2025\/12\/bc16e8dd-633a-40ff-8b95-8e1f94491f52-1074x710.jpeg 1074w, https:\/\/instytut-iskra.pl\/wp-content\/uploads\/2025\/12\/bc16e8dd-633a-40ff-8b95-8e1f94491f52.jpeg 1199w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><p id=\"caption-attachment-13992\" class=\"wp-caption-text\">Planxel \u2013 a cubic reality cell with side length lp. Synchronization with 26 neighbors in the tp rhythm creates emergent space, time and the laws of physics.<\/p><\/div><h4 class=\"\" dir=\"auto\">What is planxel \u2013 geometry and rhythm of action<\/h4><p dir=\"auto\">A Planxel (Planckian pixel) is the smallest possible operational unit of reality. It is not a particle. It is not a mathematical point. It is a local information processor with a unique geometric structure and operational rhythm.<\/p><p dir=\"auto\">A Planxel has the form of a cube with sides equal to the Planck length. It occupies an elementary volume of:<\/p><p style=\"text-align: center\"><math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><msub><mi>V<\/mi><mi>P<\/mi><\/msub><mo>=<\/mo><msubsup><mi mathvariant=\"normal\">\u2113<\/mi><mi>P<\/mi><mn>3<\/mn><\/msubsup><mo>\u2248<\/mo><mn>4<\/mn><mo lspace=\"0em\" rspace=\"0em\" separator=\"true\">,<\/mo><mn>22<\/mn><mo>\u00d7<\/mo><mn>1<\/mn><msup><mn>0<\/mn><mrow><mo>\u2212<\/mo><mn>105<\/mn><\/mrow><\/msup><mtext>\u00a0<\/mtext><msup><mi mathvariant=\"normal\">m<\/mi><mn>3<\/mn><\/msup><\/mrow><annotation encoding=\"application\/x-tex\"> V_P = \\ell_P^3 \\approx 4{,}22 \\times 10^{-105}\\ \\mathrm{m}^3 <\/annotation><\/semantics><\/math><\/p><p class=\"break-words last:mb-0\" dir=\"auto\">and is the smallest physically sensible \"cell\" of space in which information processing can take place.<\/p><p class=\"break-words last:mb-0\" dir=\"auto\">Planxel operates in a clocked manner. Each one performs exactly one update operation in a Planck time. <math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><msub><mi>t<\/mi><mi>P<\/mi><\/msub><\/mrow><annotation encoding=\"application\/x-tex\">t_P<\/annotation><\/semantics><\/math>There is no shorter time step because no conversion can be performed below this scale.<\/p><p class=\"break-words last:mb-0\" dir=\"auto\"><strong class=\"font-semibold\">Computing Architecture: 26-Neighbor Synchronization<\/strong><\/p><p class=\"break-words last:mb-0\" dir=\"auto\">Planxels form a regular three-dimensional lattice of cubes. In this geometry, each planxel has exactly 26 direct neighbors: 6 through faces, 12 through edges, and 8 through vertices.<\/p><p class=\"break-words last:mb-0\" dir=\"auto\">Synchronization with the full 26-element neighborhood is crucial. It ensures isotropy of space, lack of distinctive directions, and stable information propagation in all directions.<\/p><p class=\"break-words last:mb-0\" dir=\"auto\">In each Planck time cycle, each planxel receives the information state from all 26 neighbors, compares it with its own state, updates its state according to a local rule, and passes the result back to the neighborhood.<\/p><p class=\"break-words last:mb-0\" dir=\"auto\">This is how the distributed computing architecture of reality is created \u2013 without a center, without a global clock, without superior control.<\/p><div id=\"attachment_14593\" style=\"width: 810px\" class=\"wp-caption alignnone\"><img decoding=\"async\" aria-describedby=\"caption-attachment-14593\" class=\"wp-image-14593\" src=\"http:\/\/instytut-iskra.pl\/wp-content\/uploads\/2025\/12\/predkosc_c.jpg\" alt=\"\" width=\"800\" height=\"340\" srcset=\"https:\/\/instytut-iskra.pl\/wp-content\/uploads\/2025\/12\/predkosc_c.jpg 1600w, https:\/\/instytut-iskra.pl\/wp-content\/uploads\/2025\/12\/predkosc_c-600x255.jpg 600w, https:\/\/instytut-iskra.pl\/wp-content\/uploads\/2025\/12\/predkosc_c-300x127.jpg 300w, https:\/\/instytut-iskra.pl\/wp-content\/uploads\/2025\/12\/predkosc_c-1024x435.jpg 1024w, https:\/\/instytut-iskra.pl\/wp-content\/uploads\/2025\/12\/predkosc_c-768x326.jpg 768w, https:\/\/instytut-iskra.pl\/wp-content\/uploads\/2025\/12\/predkosc_c-1536x652.jpg 1536w, https:\/\/instytut-iskra.pl\/wp-content\/uploads\/2025\/12\/predkosc_c-1170x497.jpg 1170w\" sizes=\"(max-width: 800px) 100vw, 800px\" \/><p id=\"caption-attachment-14593\" class=\"wp-caption-text\">Visualization of information propagation in a network of planxels: c=lp\/tp The speed of light is not arbitrary \u2013 it results from the resolution and timing of reality calculation.<\/p><\/div><h4 class=\"\" dir=\"auto\">The Speed \u200b\u200bof Light as Logical Proof of the Existence of Planxels<\/h4><p dir=\"auto\">One of the strongest arguments for the existence of planxels is the finite speed of information propagation \u2013 known as the speed of light.<\/p><p dir=\"auto\">In the M\u0101y\u0101 model, information can only travel a maximum of one planxel per Planck time cycle. There is no mechanism for faster propagation, as there is no longer spatial step or shorter time step.<\/p><p dir=\"auto\">The highest possible speed is therefore:<\/p><p style=\"text-align: center\"><math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><mi>c<\/mi><mo>=<\/mo><mfrac><msub><mi mathvariant=\"normal\">\u2113<\/mi><mi>P<\/mi><\/msub><msub><mi>t<\/mi><mi>P<\/mi><\/msub><\/mfrac><\/mrow><annotation encoding=\"application\/x-tex\"> c = \\frac{\\ell_P}{t_P} <\/annotation><\/semantics><\/math><\/p><p class=\"break-words last:mb-0\" dir=\"auto\" style=\"text-align: left\">After substituting the values:<\/p><p style=\"text-align: center\"><math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><mi>c<\/mi><mo>\u2248<\/mo><mfrac><mrow><mn>1<\/mn><mo lspace=\"0em\" rspace=\"0em\" separator=\"true\">,<\/mo><mn>616<\/mn><mo>\u00d7<\/mo><mn>1<\/mn><msup><mn>0<\/mn><mrow><mo>\u2212<\/mo><mn>35<\/mn><\/mrow><\/msup><\/mrow><mrow><mn>5<\/mn><mo lspace=\"0em\" rspace=\"0em\" separator=\"true\">,<\/mo><mn>391<\/mn><mo>\u00d7<\/mo><mn>1<\/mn><msup><mn>0<\/mn><mrow><mo>\u2212<\/mo><mn>44<\/mn><\/mrow><\/msup><\/mrow><\/mfrac><mo>\u2248<\/mo><mn>2<\/mn><mo lspace=\"0em\" rspace=\"0em\" separator=\"true\">,<\/mo><mn>998<\/mn><mo>\u00d7<\/mo><mn>1<\/mn><msup><mn>0<\/mn><mn>8<\/mn><\/msup><mtext>\u00a0<\/mtext><mrow><mi mathvariant=\"normal\">m<\/mi><mi mathvariant=\"normal\">\/<\/mi><mi mathvariant=\"normal\">s<\/mi><\/mrow><\/mrow><annotation encoding=\"application\/x-tex\"> c \\approx \\frac{1{,}616 \\times 10^{-35}}{5{,}391 \\times 10^{-44}} \\approx 2{,}998 \\times 10^8\\ \\mathrm{m\/s} <\/annotation><\/semantics><\/math><\/p><p class=\"break-words last:mb-0\" dir=\"auto\">is the precisely measured speed of light in a vacuum.<\/p><p dir=\"auto\">The speed of light is therefore not an arbitrary constant. It is a direct consequence of the discrete, clocked computational architecture of reality.<\/p><p dir=\"auto\"><strong>What happens inside the planxel<\/strong><\/p><p dir=\"auto\">The state of a planxel is not a state of rest. It is not a container in which something \"lies.\" The planxel exists solely through action. Its state is a process\u2014dynamic, cyclical, and constantly renewed.<\/p><p dir=\"auto\">The simplest notation of this state is the complex information amplitude:<\/p><p style=\"text-align: center\"><math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><mi>\u03c3<\/mi><mo stretchy=\"false\">(<\/mo><mover accent=\"true\"><mi>x<\/mi><mo>\u20d7<\/mo><\/mover><mo separator=\"true\">,<\/mo><mi>t<\/mi><mo stretchy=\"false\">)<\/mo><mo>=<\/mo><mi>\u03c1<\/mi><mo stretchy=\"false\">(<\/mo><mover accent=\"true\"><mi>x<\/mi><mo>\u20d7<\/mo><\/mover><mo separator=\"true\">,<\/mo><mi>t<\/mi><mo stretchy=\"false\">)<\/mo><mo>\u22c5<\/mo><msup><mi>e<\/mi><mrow><mi>i<\/mi><mi>\u03b8<\/mi><mo stretchy=\"false\">(<\/mo><mover accent=\"true\"><mi>x<\/mi><mo>\u20d7<\/mo><\/mover><mo separator=\"true\">,<\/mo><mi>t<\/mi><mo stretchy=\"false\">)<\/mo><\/mrow><\/msup><\/mrow><annotation encoding=\"application\/x-tex\"> \\sigma(\\vec{x}, t) = \\rho(\\vec{x}, t) \\cdot e^{i \\theta(\\vec{x}, t)} <\/annotation><\/semantics><\/math><\/p><p class=\"break-words last:mb-0\" dir=\"auto\">Wielko\u015b\u0107 <math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><mi mathvariant=\"normal\">\u2223<\/mi><mi>\u03c3<\/mi><msup><mi mathvariant=\"normal\">\u2223<\/mi><mn>2<\/mn><\/msup><\/mrow><annotation encoding=\"application\/x-tex\">|\\sigma|^2<\/annotation><\/semantics><\/math> nie oznacza \u201eilo\u015bci materii\u201d. Jest miar\u0105 lokalnej g\u0119sto\u015bci informacji \u2013 intensywno\u015bci procesu obliczeniowego. W obszarach o ma\u0142ym\u00a0 <math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><mi>\u03c1<\/mi><\/mrow><annotation encoding=\"application\/x-tex\">\\rho<\/annotation><\/semantics><\/math> planxel pracuje lekko. Gdy\u00a0<math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><mi>\u03c1<\/mi><\/mrow><annotation encoding=\"application\/x-tex\">\\rho<\/annotation><\/semantics><\/math> ro\u015bnie, planxel zostaje obci\u0105\u017cony, a jego rytm zwalnia. To w\u0142a\u015bnie ten efekt, w skali makro, objawia si\u0119 jako energia i masa.<\/p><p class=\"break-words last:mb-0 translation-block\" dir=\"auto\">The key is <math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><mi>\u03b8<\/mi><\/mrow><annotation encoding=\"application\/x-tex\">\\theta<\/annotation><\/semantics><\/math> phase. It is not a mathematical addition. The phase describes the position of the planxel in its own operating cycle \u2013 whether it is at the beginning of the calculation, in the middle, or at the moment of saving a new state. In other words: <math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><mi>\u03b8<\/mi><\/mrow><annotation encoding=\"application\/x-tex\">\\theta<\/annotation><\/semantics><\/math> encodes the local time generated by the planxel itself.<\/p><p class=\"break-words last:mb-0\" dir=\"auto\">To understand the cycle, let's abandon the intuition of continuous flow. The simplest act of processing is Euler's identity:<\/p><p style=\"text-align: center\"><math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><msup><mi>e<\/mi><mrow><mi>i<\/mi><mi>\u03c0<\/mi><\/mrow><\/msup><mo>+<\/mo><mn>1<\/mn><mo>=<\/mo><mn>0<\/mn><\/mrow><annotation encoding=\"application\/x-tex\"> e^{i\\pi} + 1 = 0 <\/annotation><\/semantics><\/math><\/p><p dir=\"auto\">This equation is no longer an aphorism \u2013 it becomes a diagram of one complete flow of information within the planxel.<\/p><p dir=\"auto\">The cycle begins with the current state. The state undergoes a transformation\u2014the phase rotates. Information interferes with itself, is compared with the inflow from neighbors, until it reaches a point of maximum stress. The old record expires. A blanking occurs, and a new state is immediately recorded\u2014the starting point of the next cycle.<\/p><p dir=\"auto\">The process is closed and self-contained. There is no pause or incompleteness. Each cycle must end before the next can begin. One full phase rotation corresponds to one cycle of Planck time.<\/p><p dir=\"auto\">When the phase changes rapidly, the cycles proceed smoothly \u2013 local time passes quickly. When the phase slows (overload), the cycles lengthen \u2013 time undergoes dilation. Mass appears as a slowdown in the rhythm of the Eulerian cycle caused by information load.<\/p><p dir=\"auto\">Because planxels don't operate in isolation, their phases attempt to synchronize. Where synchronization is smooth\u2014space is homogeneous, time is uniform. Where rhythms diverge\u2014synchronization tension arises. This tension, on a macro scale, manifests as gravity.<\/p><p dir=\"auto\">There is no external force \"bending\" spacetime. There are only planxels rotating phases at different speeds, trying to synchronize with their surroundings.<\/p><p dir=\"auto\">From the perspective of the planxel, there is no past or future. There is only the current cycle, its closure, and the immediate beginning of the next. The sequence of closures creates the arrow of time.<\/p><p dir=\"auto\">Time doesn't flow because \"it does.\" Time flows because planxels continue to execute Euler cycles.<\/p><p dir=\"auto\"><strong>Planxel Evolution Equation \u2013 What Happens in One Cycle<\/strong><\/p><p dir=\"auto\" style=\"text-align: center\"><span class=\"katex\"><span class=\"katex-mathml\"><math xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><mi>\u03c3<\/mi><mo stretchy=\"false\">(<\/mo><mover accent=\"true\"><mi>x<\/mi><mo>\u20d7<\/mo><\/mover><mo separator=\"true\">,<\/mo><mi>t<\/mi><mo>+<\/mo><msub><mi>t<\/mi><mi>P<\/mi><\/msub><mo stretchy=\"false\">)<\/mo><mo>=<\/mo><mi>\u03c3<\/mi><mo stretchy=\"false\">(<\/mo><mover accent=\"true\"><mi>x<\/mi><mo>\u20d7<\/mo><\/mover><mo separator=\"true\">,<\/mo><mi>t<\/mi><mo stretchy=\"false\">)<\/mo><mo>+<\/mo><mrow><mo fence=\"true\">(<\/mo><mn>1<\/mn><mo>\u2212<\/mo><mfrac><mrow><msub><mi>\u03c1<\/mi><mrow><mi mathvariant=\"normal\">e<\/mi><mi mathvariant=\"normal\">f<\/mi><mi mathvariant=\"normal\">f<\/mi><\/mrow><\/msub><mo stretchy=\"false\">(<\/mo><mover accent=\"true\"><mi>x<\/mi><mo>\u20d7<\/mo><\/mover><mo separator=\"true\">,<\/mo><mi>t<\/mi><mo stretchy=\"false\">)<\/mo><\/mrow><msub><mi>\u03c1<\/mi><mrow><mi mathvariant=\"normal\">m<\/mi><mi mathvariant=\"normal\">a<\/mi><mi mathvariant=\"normal\">x<\/mi><\/mrow><\/msub><\/mfrac><mo fence=\"true\">)<\/mo><\/mrow><mo>\u22c5<\/mo><mrow><mo fence=\"true\">[<\/mo><mfrac><mn>1<\/mn><mn>26<\/mn><\/mfrac><msub><mo>\u2211<\/mo><mrow><mi>i<\/mi><mo separator=\"true\">,<\/mo><mi>j<\/mi><mo separator=\"true\">,<\/mo><mi>k<\/mi><mo>\u2208<\/mo><mo stretchy=\"false\">{<\/mo><mo>\u2212<\/mo><mn>1<\/mn><mo separator=\"true\">,<\/mo><mn>0<\/mn><mo separator=\"true\">,<\/mo><mn>1<\/mn><mo stretchy=\"false\">}<\/mo><mo>\u2216<\/mo><mo stretchy=\"false\">(<\/mo><mn>0<\/mn><mo separator=\"true\">,<\/mo><mn>0<\/mn><mo separator=\"true\">,<\/mo><mn>0<\/mn><mo stretchy=\"false\">)<\/mo><\/mrow><\/msub><mrow><mo fence=\"true\">(<\/mo><mi>\u03c3<\/mi><mo stretchy=\"false\">(<\/mo><mover accent=\"true\"><mi>x<\/mi><mo>\u20d7<\/mo><\/mover><mo>+<\/mo><msub><mover accent=\"true\"><mi>r<\/mi><mo>\u20d7<\/mo><\/mover><mrow><mi>i<\/mi><mo separator=\"true\">,<\/mo><mi>j<\/mi><mo separator=\"true\">,<\/mo><mi>k<\/mi><\/mrow><\/msub><mo separator=\"true\">,<\/mo><mi>t<\/mi><mo stretchy=\"false\">)<\/mo><mo>\u2212<\/mo><mi>\u03c3<\/mi><mo stretchy=\"false\">(<\/mo><mover accent=\"true\"><mi>x<\/mi><mo>\u20d7<\/mo><\/mover><mo separator=\"true\">,<\/mo><mi>t<\/mi><mo stretchy=\"false\">)<\/mo><mo fence=\"true\">)<\/mo><\/mrow><mo>+<\/mo><mi>\u03b7<\/mi><mo stretchy=\"false\">(<\/mo><mover accent=\"true\"><mi>x<\/mi><mo>\u20d7<\/mo><\/mover><mo separator=\"true\">,<\/mo><mi>t<\/mi><mo stretchy=\"false\">)<\/mo><mo fence=\"true\">]<\/mo><\/mrow><\/mrow><annotation encoding=\"application\/x-tex\"> \\sigma(\\vec{x}, t + t_P) = \\sigma(\\vec{x}, t) + \\left(1 &#8211; \\frac{\\rho_{\\mathrm{eff}}(\\vec{x}, t)}{\\rho_{\\mathrm{max}}}\\right) \\cdot \\left[ \\frac{1}{26} \\sum_{i,j,k \\in \\{-1,0,1\\} \\setminus (0,0,0)} \\left( \\sigma(\\vec{x} + \\vec{r}_{i,j,k}, t) &#8211; \\sigma(\\vec{x}, t) \\right) + \\eta(\\vec{x}, t) \\right] <\/annotation><\/semantics><\/math><\/span><br \/><\/span><\/p><p dir=\"auto\">Planxel evolution is a specific process in a cubic cell with Planck-length sides, in one indivisible cycle of Planck time. In each cycle, the planxel completes a complete cycle: it receives information, processes it, compares it with its environment, and stores the new state.<\/p><h3 data-start=\"613\" data-end=\"652\">The importance of individual ingredients<\/h3><p data-start=\"654\" data-end=\"730\">Each element of the equation corresponds to a specific physical-computational operation:<\/p><ul><li data-start=\"734\" data-end=\"751\"><strong data-start=\"734\" data-end=\"749\">Left<\/strong><span class=\"katex-display\"><span class=\"katex-display\"><span class=\"katex\"><span class=\"katex-mathml\"><br \/><math display=\"block\" xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><mi>\u03c3<\/mi><mo stretchy=\"false\">(<\/mo><mover accent=\"true\"><mi>x<\/mi><mo>\u20d7<\/mo><\/mover><mo separator=\"true\">,<\/mo><mtext>\u2009<\/mtext><mi>t<\/mi><mo>+<\/mo><msub><mi>t<\/mi><mi>P<\/mi><\/msub><mo stretchy=\"false\">)<\/mo><\/mrow><\/semantics><\/math><\/span><\/span><\/span><\/span>State of the planxel after completion of one update cycle.<\/li><\/ul><p>\u00a0<\/p><ul><li data-start=\"855\" data-end=\"873\"><strong data-start=\"855\" data-end=\"871\">Current status<\/strong><span class=\"katex-display\"><span class=\"katex-display\"><span class=\"katex\"><span class=\"katex-mathml\"><br \/><math display=\"block\" xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><mi>\u03c3<\/mi><mo stretchy=\"false\">(<\/mo><mover accent=\"true\"><mi>x<\/mi><mo>\u20d7<\/mo><\/mover><mo separator=\"true\">,<\/mo><mtext>\u2009<\/mtext><mi>t<\/mi><mo stretchy=\"false\">)<\/mo><\/mrow><\/semantics><\/math><\/span><\/span><\/span><\/span><p>Starting point - current information load and local phase.<\/p><\/li><\/ul><p>\u00a0<\/p><ul><li data-start=\"979\" data-end=\"1005\"><strong data-start=\"979\" data-end=\"1003\">Sum of 26 neighbors<\/strong><span class=\"katex-display\"><span class=\"katex-display\"><span class=\"katex\"><span class=\"katex-mathml\"><br \/><math display=\"block\" xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><mfrac><mn>1<\/mn><mn>26<\/mn><\/mfrac><munder><mo>\u2211<\/mo><mstyle scriptlevel=\"1\"><mtable columnalign=\"center\" columnspacing=\"1em\" rowspacing=\"0.1em\"><mtr><mtd><mstyle displaystyle=\"false\" scriptlevel=\"1\"><mrow><mi>i<\/mi><mo separator=\"true\">,<\/mo><mi>j<\/mi><mo separator=\"true\">,<\/mo><mi>k<\/mi><mo>\u2208<\/mo><mo stretchy=\"false\">{<\/mo><mo>\u2212<\/mo><mn>1<\/mn><mo separator=\"true\">,<\/mo><mn>0<\/mn><mo separator=\"true\">,<\/mo><mn>1<\/mn><mo stretchy=\"false\">}<\/mo><\/mrow><\/mstyle><\/mtd><\/mtr><mtr><mtd><mstyle displaystyle=\"false\" scriptlevel=\"1\"><mrow><mo stretchy=\"false\">(<\/mo><mi>i<\/mi><mo separator=\"true\">,<\/mo><mi>j<\/mi><mo separator=\"true\">,<\/mo><mi>k<\/mi><mo stretchy=\"false\">)<\/mo><mo mathvariant=\"normal\">\u2260<\/mo><mo stretchy=\"false\">(<\/mo><mn>0<\/mn><mo separator=\"true\">,<\/mo><mn>0<\/mn><mo separator=\"true\">,<\/mo><mn>0<\/mn><mo stretchy=\"false\">)<\/mo><\/mrow><\/mstyle><\/mtd><\/mtr><\/mtable><\/mstyle><\/munder><mo fence=\"false\" maxsize=\"1.2em\" minsize=\"1.2em\" stretchy=\"true\">(<\/mo><mi>\u03c3<\/mi><mo stretchy=\"false\">(<\/mo><mover accent=\"true\"><mi>x<\/mi><mo>\u20d7<\/mo><\/mover><mo>+<\/mo><msub><mover accent=\"true\"><mi>r<\/mi><mo>\u20d7<\/mo><\/mover><mrow><mi>i<\/mi><mo separator=\"true\">,<\/mo><mi>j<\/mi><mo separator=\"true\">,<\/mo><mi>k<\/mi><\/mrow><\/msub><mo separator=\"true\">,<\/mo><mtext>\u2009<\/mtext><mi>t<\/mi><mo stretchy=\"false\">)<\/mo><mo>\u2212<\/mo><mi>\u03c3<\/mi><mo stretchy=\"false\">(<\/mo><mover accent=\"true\"><mi>x<\/mi><mo>\u20d7<\/mo><\/mover><mo separator=\"true\">,<\/mo><mtext>\u2009<\/mtext><mi>t<\/mi><mo stretchy=\"false\">)<\/mo><mo fence=\"false\" maxsize=\"1.2em\" minsize=\"1.2em\" stretchy=\"true\">)<\/mo><\/mrow><\/semantics><\/math><\/span><\/span><\/span><\/span>Confrontation of the local state with the immediate environment (difference in state).<br data-start=\"1251\" data-end=\"1254\" \/>Division by 26 ensures isotropy and no preferred directions.<\/li><\/ul><p>\u00a0<\/p><ul><li data-start=\"1329\" data-end=\"1357\"><strong data-start=\"1329\" data-end=\"1355\">Overload regulator<\/strong><span class=\"katex-display\"><span class=\"katex-display\"><span class=\"katex\"><span class=\"katex-mathml\"><br \/><math display=\"block\" xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><mo fence=\"true\">(<\/mo><mn>1<\/mn><mo>\u2212<\/mo><mfrac><msub><mi>\u03c1<\/mi><mtext>eff<\/mtext><\/msub><msub><mi>\u03c1<\/mi><mtext>max<\/mtext><\/msub><\/mfrac><mo fence=\"true\">)<\/mo><\/mrow><\/semantics><\/math><\/span><\/span><\/span><\/span>It slows down the correction as local load increases. It is a source of mass effects and time dilation.<\/li><\/ul><p>\u00a0<\/p><ul><li data-start=\"1553\" data-end=\"1572\"><strong data-start=\"1553\" data-end=\"1570\">Quantum noise<\/strong><span class=\"katex-display\"><span class=\"katex-display\"><span class=\"katex\"><span class=\"katex-mathml\"><br \/><math display=\"block\" xmlns=\"http:\/\/www.w3.org\/1998\/Math\/MathML\"><semantics><mrow><mi>\u03b7<\/mi><mo stretchy=\"false\">(<\/mo><mover accent=\"true\"><mi>x<\/mi><mo>\u20d7<\/mo><\/mover><mo separator=\"true\">,<\/mo><mi>t<\/mi><mo stretchy=\"false\">)<\/mo><\/mrow><\/semantics><\/math><\/span><\/span><\/span><\/span>The fluctuation component resulting from parallel processing.<br data-start=\"1668\" data-end=\"1671\" \/>It has a zero mean value and does not destabilize the system dynamics.<\/li><\/ul><p>\u00a0<\/p><ul><li data-start=\"1740\" data-end=\"1844\"><strong data-start=\"1740\" data-end=\"1762\">Saving a new state<\/strong><br data-start=\"1762\" data-end=\"1765\" \/>Closing the update cycle and immediately moving to the next measure.<\/li><\/ul><p dir=\"auto\">\u00a0<\/p><p dir=\"auto\"><strong>Planxel as a reality execution engine<\/strong><\/p><p dir=\"auto\">An equation doesn't describe the world\u2014it executes it. Each component is a real operation in the elementary cell.<\/p><p dir=\"auto\">What we perceive as spacetime, fields, particles, and interactions is not fundamental. It is an emergent image rendered by a network of planxels executing local algorithms in the rhythm of Planck time.<\/p><p dir=\"auto\">There is no ready-made reality that \"is.\" There is a reality that is happening.<\/p><p dir=\"auto\">Each Planck time cycle is one engine cycle. Each planxel is one computational core. Each Euler cycle is one execution instruction.<\/p><p dir=\"auto\">The universe is not an object. It is running code \u2013 executed planxel by planxel, beat by beat.<\/p><p dir=\"auto\">And only here the question \"what is the Universe made of\" disappears and the real one appears: what algorithm must be executed for the Universe to exist at all?<\/p><h3 dir=\"auto\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-14588\" src=\"http:\/\/instytut-iskra.pl\/wp-content\/uploads\/2025\/12\/monitor2.jpg\" alt=\"\" width=\"1600\" height=\"679\" srcset=\"https:\/\/instytut-iskra.pl\/wp-content\/uploads\/2025\/12\/monitor2.jpg 1600w, https:\/\/instytut-iskra.pl\/wp-content\/uploads\/2025\/12\/monitor2-600x255.jpg 600w, https:\/\/instytut-iskra.pl\/wp-content\/uploads\/2025\/12\/monitor2-300x127.jpg 300w, https:\/\/instytut-iskra.pl\/wp-content\/uploads\/2025\/12\/monitor2-1024x435.jpg 1024w, https:\/\/instytut-iskra.pl\/wp-content\/uploads\/2025\/12\/monitor2-768x326.jpg 768w, https:\/\/instytut-iskra.pl\/wp-content\/uploads\/2025\/12\/monitor2-1536x652.jpg 1536w, https:\/\/instytut-iskra.pl\/wp-content\/uploads\/2025\/12\/monitor2-1170x497.jpg 1170w\" sizes=\"(max-width: 1600px) 100vw, 1600px\" \/><\/h3><h4>Why a simple cube and not more \"natural\" shapes?<\/h4><p dir=\"auto\">Some discrete reality theories attempt to achieve isotropy through complex voxel shapes\u2014e.g., the rhombic dodecahedron (the most efficient packing) or the icosahedron (quasi-crystalline structures). They do this because they still think in material terms\u2014space as a \"crystal\" or \"aether\" packed like atoms.<\/p><p dir=\"auto\">M\u0101y\u0101 takes a different, simpler approach. The Planxel is a regular cube\u2014the simplest, computationally efficient cell. Naturally, it has prominent axes (x, y, z), which might suggest anisotropy.<\/p><p dir=\"auto\">But isotropy doesn't stem from shape\u2014it stems from dynamics. Phase rotation by the golden angle in each beat, plus synchronization with 26 neighbors, actively eliminates directional correlations.<\/p><p dir=\"auto\">It's exactly the same as in our technology: pixels on a monitor are square, with horizontal and vertical axes. Yet we see smooth circles, arcs, and fluid images\u2014without edges. Not because the pixel is round, but because information propagates through the grid in a way that, on a macroscale, produces continuity and isotropy.<\/p><p dir=\"auto\">With one key difference: a monitor is a flat, two-dimensional grid of pixels. In M\u0101y\u0101, the same principle operates in a three-dimensional, cubic network filling all space\u2014from the Planck scale to infinity. There are no gaps, no boundaries. Planxels touch at their edges, creating a continuous volume. Information (phase, resonance) passes smoothly from one to the other, and the dynamics of synchronization make space appear perfectly isotropic and continuous on a macroscale.<\/p><p dir=\"auto\">Particles are not \"objects moving\" in space. They are stable states of synchronization\u2014patterns of information propagating through planxels. It's not the pixel that moves\u2014the information (phase, resonance) passes from planxel to planxel.<\/p><p dir=\"auto\">This is M\u0101y\u0101 in its fullness: the illusion of continuity and matter from a simple, discrete code.<\/p><h4 data-start=\"533\" data-end=\"587\">Why M\u0101y\u0101 is not an ordinary cellular automaton<\/h4><p data-start=\"589\" data-end=\"813\">At first glance, the architecture of planxels might resemble a cellular automaton: a discrete grid, local rules, and time-step updates. However, this similarity is superficial and ends at the formal level.<\/p><p data-start=\"815\" data-end=\"1102\">Classical cellular automata are abstract models. Their grid, rules, and update times are arbitrary\u2014chosen by the researcher. They have no built-in physical scale, are not bound to real-world constants, and do not generate known laws of physics without additional assumptions.<\/p><p data-start=\"1104\" data-end=\"1629\" class=\"translation-block\">In Maya theory, the situation is reversed. The architecture is not postulated, but <strong data-start=\"1182\" data-end=\"1195\">forced<\/strong> by the empirical properties of the world. The cell size and the update rate are not free parameters, but correspond to the Planck length and time. The local rule is not \"chosen,\" but results from the necessity of synchronization in a system with finite information throughput. Even the speed of information propagation is not fixed\u2014it appears automatically as the quotient of the elementary resolution and the elementary time step.<\/p><p data-start=\"1631\" data-end=\"1913\" class=\"translation-block\">Most importantly, the cellular automaton <em data-start=\"1667\" data-end=\"1677\">simulates<\/em> dynamics. M\u0101y\u0101 describes the <strong data-start=\"1701\" data-end=\"1725\">execution mechanism<\/strong>. The equations here are not a model of the world, but instructions for its local operation. The planxel does not represent a particle or a field\u2014it is the place where reality actually actualizes itself.<\/p><p data-start=\"1915\" data-end=\"2216\">In cellular automata, time is an external parameter of the simulation. In M\u0101y\u0101, time is generated locally as a phase of the planxel's operating cycle. In automata, state is a static value stored in the cell. In M\u0101y\u0101, state exists solely as a process\u2014phase rotation, interference, and recording of a new result.<\/p><p data-start=\"2218\" data-end=\"2405\" class=\"translation-block\">Therefore, M\u0101y\u0101 is not \"another cellular automaton\", but an attempt to answer a different question: not <em data-start=\"2316\" data-end=\"2338\">how to simulate physics<\/em>, but <em data-start=\"2345\" data-end=\"2404\">what must happen for physics to exist at all<\/em>.<\/p><h4 data-start=\"2412\" data-end=\"2437\">Originality clause<\/h4><p data-start=\"2439\" data-end=\"2664\">M\u0101y\u0101 theory does not claim primacy in the mere notion that reality can be discrete or informational. Ideas of this kind have appeared earlier in theoretical physics, information theory, and philosophy of science.<\/p><p data-start=\"2666\" data-end=\"2948\">The originality of M\u0101y\u0101 lies in something else: in the consistent treatment of Planck units as ontologically primary parameters of the executive architecture of reality and in the derivation of known physical constants as resultant quantities \u2013 relations between these parameters.<\/p><p data-start=\"2950\" data-end=\"3269\">Unlike discrete models and cellular automata, which are formal or simulation-based, M\u0101y\u0101 theory proposes a mechanism that is not chosen but logically forced by known properties of the world: the finite speed of information propagation, quantum nature, time dilation and the existence of gravity.<\/p><p data-start=\"3271\" data-end=\"3506\">The originality of this approach does not lie in new equations or new mathematics, but in changing the starting point of the description: from entities and interactions to the local processing architecture from which these entities and interactions emerge.<\/p>\t\t\r\n\t<\/div>\r\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<div class=\"elementor-element elementor-element-9f0b799 elementor-widget elementor-widget-pxl_button\" data-id=\"9f0b799\" data-element_type=\"widget\" data-widget_type=\"pxl_button.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<div id=\"pxl-pxl_button-9f0b799-2377\" class=\"pxl-button pxl-atc-link\" data-wow-delay=\"ms\">\r\n    <a href=\"http:\/\/instytut-iskra.pl\/en\/implikacje-mechanizmu-planxeli-dla-fizyki\/\" class=\"btn pxl-icon-active btn-block-inline  btn-text-underline pxl-icon--right\">\r\n                    <span class=\"pxl--btn-icon\">\r\n                <i aria-hidden=\"true\" class=\"flaticon flaticon-right-arrow-long\"><\/i>                            <\/span>\r\n                <span class=\"pxl--btn-text\" data-text=\"Odkrywaj wi\u0119cej\">\r\n            Discover more        <\/span>\r\n    <\/a>\r\n<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\r\n\t\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>\r\n\t\t\t\t<\/div>","protected":false},"excerpt":{"rendered":"<p>Przedmowa Geneza teorii MAYA Problemy wsp\u00f3\u0142czesnej fizyki Dlaczego informacja? Jednostki Plancka Planxel Implikacje mechanizmu planxeli dla fizyki Reinterpretacja Wzor\u00f3w Czas w modelu M\u0101y\u0101 Przestrze\u0144 w modelu Maya Grawitacja Paradoksy Fizyki ALPHA odkodowana Cz\u0105stki w MAYA Mechanika kwantowa O emergencji matematyki Planxele &#8211; elementarne jednostki przetwarzania rzeczywisto\u015bci Gdy spojrzymy na wsp\u00f3\u0142czesn\u0105 fizyk\u0119 przez pryzmat j\u0119zyka informacji [&hellip;]<\/p>","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-13988","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/instytut-iskra.pl\/en\/wp-json\/wp\/v2\/pages\/13988","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/instytut-iskra.pl\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/instytut-iskra.pl\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/instytut-iskra.pl\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/instytut-iskra.pl\/en\/wp-json\/wp\/v2\/comments?post=13988"}],"version-history":[{"count":101,"href":"https:\/\/instytut-iskra.pl\/en\/wp-json\/wp\/v2\/pages\/13988\/revisions"}],"predecessor-version":[{"id":15661,"href":"https:\/\/instytut-iskra.pl\/en\/wp-json\/wp\/v2\/pages\/13988\/revisions\/15661"}],"wp:attachment":[{"href":"https:\/\/instytut-iskra.pl\/en\/wp-json\/wp\/v2\/media?parent=13988"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}