{"id":8195,"date":"2026-03-13T14:00:00","date_gmt":"2026-03-13T06:00:00","guid":{"rendered":"https:\/\/meta-quantum.today\/?p=8195"},"modified":"2026-03-13T13:48:42","modified_gmt":"2026-03-13T05:48:42","slug":"%f0%9f%aa%b0-does-this-fly-prove-were-in-a-simulation","status":"publish","type":"post","link":"https:\/\/meta-quantum.today\/?p=8195","title":{"rendered":"\ud83e\udeb0 Does This Fly Prove We&#8217;re In a Simulation?"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\">Introduction<\/h2>\n\n\n\n<p>A fruitfly that was never born is walking around right now \u2014 entirely in silico. Scientists have taken a real fruitfly&#8217;s brain, mapped every single neuron, and dropped it into a simulated body inside a virtual 3D environment. Without any training data or AI learning, the emulated fly immediately started behaving like a fly. This landmark achievement in whole-brain emulation raises some of the most profound questions in science, philosophy, and technology: What is consciousness? Can it be copied? And if humans are next \u2014 do we all eventually live forever inside a machine? <a href=\"#video\" title=\"\">Know more from the video<\/a>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">\ud83e\udde0 Eon Systems &amp; FlyWire: The Full Story<\/h2>\n\n\n\n<p>These two projects are deeply intertwined \u2014 FlyWire built the map, and Eon Systems ran it. Together they represent the most significant milestone in whole-brain emulation to date.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Part 1: FlyWire \u2014 Building the Atlas<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">What Is FlyWire?<\/h4>\n\n\n\n<p>FlyWire is a Princeton University-led international consortium whose singular mission was to produce the <strong>first complete neuron-by-neuron, synapse-by-synapse wiring diagram<\/strong> \u2014 called a <strong>connectome<\/strong> \u2014 of the adult <em>Drosophila melanogaster<\/em> (fruit fly) brain. The FlyWire Consortium comprises members from more than 146 labs at 122 institutions, with major contributions from teams at the University of Cambridge and the University of Vermont.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">How They Built It<\/h4>\n\n\n\n<p>The construction process was a remarkable hybrid of cutting-edge AI, professional science, and crowdsourcing:<\/p>\n\n\n\n<p>The map was built from 21 million images taken of a female fruit fly brain by a team of scientists led by Davi Bock, then at the Howard Hughes Medical Institute&#8217;s Janelia Research Campus. Those raw electron microscopy images alone were not a connectome \u2014 they had to be interpreted.<\/p>\n\n\n\n<p>Since 2019, the researchers and gamers of FlyWire have collectively contributed 33 person-years to proofreading and annotating the results of the AI model. Without AI, the project would have taken almost 50 thousand person-years. Human volunteers served as proofreaders \u2014 checking AI-generated segmentations, adding cell type labels, and assembling the pieces into one massive whole.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">What They Produced<\/h4>\n\n\n\n<p>The map was developed by the FlyWire Consortium, which is based at Princeton University and made up of teams in more than 76 laboratories with 287 researchers around the world as well as volunteer gamers. The final result: 140K neurons across the central brain and optic lobes, proofread by experts; 50M+ synapses including neurotransmitter information; and over 100K+ cell type annotations contributed by the FlyWire community.<\/p>\n\n\n\n<p>Particular attention was given to the visual system because most of the fly brain is dedicated to vision \u2014 this is the first time the cell types and connections of a biological visual system have been revealed in their entirety. In total, the group has identified around 140,000 neurons \u2014 98% of which have been typed \u2014 and over 50 million synapses.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Codex \u2014 The Public Explorer<\/h4>\n\n\n\n<p>To make the comprehensive map easily accessible, the FlyWire team developed Codex (Connectome Data Explorer), which enables anyone with internet access to navigate all neurons and synaptic pathways in the brain map, without having to download huge amounts of data or use advanced analysis tools. Codex is free and has already been used by over 10,000 registered users worldwide.<\/p>\n\n\n\n<p>You can explore it yourself at <a href=\"https:\/\/flywire.ai\/\">flywire.ai<\/a>.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Why the Fruit Fly?<\/h4>\n\n\n\n<p>Fruit flies share many behaviors with humans as well as 75% of the genes that cause genetic diseases. That genetic overlap makes the fly a scientifically powerful model for understanding human neurological conditions. FlyWire researchers also classified and annotated more than 8,400 types of cells found in the connectome \u2014 classified based on location in the brain, connections, developmental origin, and shape.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Part 2: Eon Systems \u2014 Running the Atlas<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">Who Are They?<\/h4>\n\n\n\n<p>A team at Eon Systems PBC, led by senior scientist Philip Shiu, has demonstrated the world&#8217;s first embodied whole-brain emulation \u2014 not an AI trained to mimic biology, not a reinforcement learning policy, but a literal copy of a biological brain, neuron by neuron, synapse by synapse, running inside a physics-simulated body. The company is co-founded by Dr. Alex Wissner-Gross, a Harvard\/MIT physicist.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">The 2024 Disembodied Brain Model<\/h4>\n\n\n\n<p>The story begins a step earlier. In October 2024, Shiu and collaborators published a computational model of the entire adult fruit fly brain with over 125,000 neurons and 50 million synaptic connections, built using the FlyWire connectome and machine learning to predict neurotransmitter identity. That model predicted motor behavior with 95% accuracy. But it had a critical limitation: it was a brain with nowhere to go \u2014 no body, no environment, no feedback loop.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">March 2026: The Ghost Finds Its Machine<\/h4>\n\n\n\n<p>On March 7, 2026, a small San Francisco company called Eon Systems released a video online that most of the world scrolled past without a second glance. In that video, a fruit fly walked \u2014 the world&#8217;s first whole-brain emulation that actually moves.<\/p>\n\n\n\n<p>The full loop has four parts: first, sensory events in the virtual world are mapped onto identified sensory neurons or sensory pathways; second, brain activity is updated in a connectome-constrained neural model; third, selected descending outputs are translated into low-dimensional motor commands for the body; fourth, the resulting movement changes the sensory state, which is fed back into the brain. They currently run the syncing steps between brain and body every 15 ms.<\/p>\n\n\n\n<p>The physics engine used is <strong>MuJoCo<\/strong>, running the <strong>NeuroMechFly v2<\/strong> framework for the virtual fly body.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">What Makes It Different From Everything Before<\/h4>\n\n\n\n<p>The distinction matters enormously. DeepMind and Janelia&#8217;s recent MuJoCo fly used reinforcement learning, not connectome-derived neural dynamics, to control a simulated body. Eon&#8217;s fly is the actual ghost in the machine \u2014 using a brain of genuine complexity with 127,400 neurons and 50 million connections, real biological circuitry validated against optogenetics and calcium imaging \u2014 producing not a learned imitation of biological behavior but the biological computation itself. As Wissner-Gross described it: DeepMind&#8217;s fly is a recording; Eon&#8217;s fly is the ghost.<\/p>\n\n\n\n<p>Earlier research often focused on only one part of the problem. Some projects mapped nervous systems in detail but did not link them to an active body. Others built realistic simulated animals that could move well, but these were controlled by reinforcement learning or engineered control systems rather than by a brain model reconstructed from biological wiring. Eon&#8217;s work brings these elements together.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Behaviors Demonstrated<\/h4>\n\n\n\n<p>The virtual fly shows behaviors like walking, grooming, and feeding \u2014 and these actions were not programmed as simple animations. They came from the brain model&#8217;s own neural circuits, as sensory input traveled through the connectome and motor output returned to the body.<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">Honest About Limitations<\/h4>\n\n\n\n<p>To their credit, Eon is transparent. Their results should not yet be interpreted as proof that structure alone is sufficient to recover the entire behavioral repertoire of the fly in a scientifically rigorous way. Pure structure-to-behavior is the direction they want to explore, but for a broad embodied repertoire it will likely require additional learning, additional priors, more detailed motor interfaces, and more functional data. The current embodied fly is best understood as a research platform and a demonstration platform.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Part 3: The Roadmap \u2014 What Comes Next<\/h3>\n\n\n\n<h4 class=\"wp-block-heading\">The Scale Challenge<\/h4>\n\n\n\n<p>Eon&#8217;s mission is to produce the world&#8217;s largest connectome and highest-fidelity brain emulation, targeting a complete digital emulation of a mouse brain and laying the groundwork for eventual human-scale emulation. A mouse brain contains roughly 70 million neurons \u2014 560 times the fly&#8217;s count \u2014 and the team is currently amassing the connectomic and functional recording data needed to attempt it, combining expansion microscopy to map every neural connection with tens of thousands of hours of calcium and voltage imaging to capture how those networks activate in living tissue.<\/p>\n\n\n\n<p>Philip Shiu stated: &#8220;This really suggests that getting a mouse connectome, and eventually a human connectome, will be incredibly valuable. We can imagine a world where we can simulate a mouse brain, or eventually a human brain, and really get fundamental insights into the causes of various mental health disorders and about how the brain works.&#8221;<\/p>\n\n\n\n<h4 class=\"wp-block-heading\">The Three-Pronged Vision<\/h4>\n\n\n\n<p>Eon&#8217;s grand three-pronged vision: understanding the brain by creating perfect models to study neurological diseases; discovering intelligence by reverse-engineering the algorithms evolution produced in the most expensive training run in history; and uploading humanity \u2014 offering a path to artificial superintelligence that is fundamentally aligned with human values because it is human.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"video\">Video about the FlyWire<\/h2>\n\n\n\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"Does This Fly Prove We&#039;re In a Simulation?\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube.com\/embed\/N2ccho6ug1w?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n\n\n\n<div class=\"wp-block-group has-pale-cyan-blue-background-color has-background\"><div class=\"wp-block-group__inner-container is-layout-constrained wp-block-group-is-layout-constrained\">\n<h2 class=\"wp-block-heading\">What the Scientists Actually Did<\/h2>\n\n\n\n<p>The team, led by researcher Michael Andreg, uploaded the fruitfly&#8217;s <strong>connectome<\/strong> \u2014 the complete wiring diagram of its brain \u2014 and ran it using just four elements:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>The graph of neural connections<\/strong> \u2014 how every neuron links to every other<\/li>\n\n\n\n<li><strong>Synaptic weights<\/strong> \u2014 the strength of each connection (similar in concept to how LLMs assign importance to data)<\/li>\n\n\n\n<li><strong>Excitatory and inhibitory neuron maps<\/strong> \u2014 the neurons that say &#8220;go&#8221; or &#8220;stop&#8221;<\/li>\n\n\n\n<li><strong>Leaky integrate-and-fire rules<\/strong> \u2014 the governing logic for when a neuron fires<\/li>\n<\/ul>\n\n\n\n<p>The result: <strong>91% behavioral accuracy<\/strong>. Sensory input flowed in, neural activity propagated through the full connectome, motor commands flowed out, and a physically simulated body moved \u2014 closing the loop from perception to action. No reinforcement learning. No training run. Just biology, copied.<\/p>\n\n\n\n<p>The team emphasizes this is not an animation or an AI policy mimicking biology. It is a neuron-to-neuron copy of a biological brain, derived from electron microscopy data, running live in simulation.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">From C. elegans to the Fruitfly: A Rapid Progression<\/h2>\n\n\n\n<p>This work builds on earlier efforts like the <strong>OpenWorm project<\/strong>, which emulated the nervous system of <em>C. elegans<\/em> \u2014 a roundworm with just <strong>302 neurons<\/strong>. That was considered a milestone. The fruitfly operates with approximately <strong>125,000 neurons<\/strong>, representing a dramatic leap in complexity achieved in roughly a year. To put the scale in perspective:<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><thead><tr><th>Animal<\/th><th>Neurons<\/th><\/tr><\/thead><tbody><tr><td>C. elegans (roundworm)<\/td><td>302<\/td><\/tr><tr><td>Starfish<\/td><td>500<\/td><\/tr><tr><td>Fruitfly<\/td><td>~150,000<\/td><\/tr><tr><td>Ant<\/td><td>250,000<\/td><\/tr><tr><td>Honeybee<\/td><td>~1 million<\/td><\/tr><tr><td>Turtle<\/td><td>8 million<\/td><\/tr><tr><td>Bat<\/td><td>35 million<\/td><\/tr><tr><td>Octopus<\/td><td>500 million<\/td><\/tr><tr><td>Western Gorilla<\/td><td>9 billion<\/td><\/tr><tr><td>Human<\/td><td>~86 billion<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>The trajectory is steep. The question is not <em>if<\/em> we get to 86 billion neurons, but <em>when<\/em>.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Why It Matters: Three Big Payoffs<\/h2>\n\n\n\n<p>The team sees whole-brain emulation as unlocking three transformative capabilities:<\/p>\n\n\n\n<p><strong>1. Understanding and Treating Brain Disease<\/strong> A fully simulated human brain lets scientists model what happens when things go wrong \u2014 Alzheimer&#8217;s, Parkinson&#8217;s, depression \u2014 and test solutions in silico before ever touching a patient.<\/p>\n\n\n\n<p><strong>2. Discovering Evolution&#8217;s Intelligence Algorithms<\/strong> Evolution has been running the most expensive training run in history for millions of years, optimizing every animal brain on Earth. If we can extract those algorithms and apply them to AI development, we may unlock capabilities that large language models alone cannot reach. The video frames it vividly: imagine finding ChatGPT already trained, out in nature \u2014 no billions spent, no compute required. Nature already did the work.<\/p>\n\n\n\n<p><strong>3. Consciousness Upload<\/strong> The team openly uses the word &#8220;uploading.&#8221; If a human brain can be fully emulated neuron by neuron, is the result genuinely <em>you<\/em>? Could you think a thousand times faster by scaling up the GPUs? Could a million copies of your brain collaborate in parallel while you remain human-in-the-loop?<\/p>\n\n\n\n<h2 class=\"wp-block-heading\">Simulation Theory and What It All Points To<\/h2>\n\n\n\n<p>The video connects this research to <strong>simulation theory<\/strong> \u2014 the philosophical idea that our experienced reality is itself a vast computational simulation. As AI infrastructure scales (massive data centers, accelerating hardware, frontier model investment), the same technology capable of simulating artificial intelligence becomes capable of simulating biological intelligence. The line between the two blurs.<\/p>\n\n\n\n<p>A striking additional example: a petri dish of human brain cells has been demonstrated controlling the video game Doom \u2014 with the cells receiving game state as input and firing signals to control the character. It sounds absurd, yet it happened.<\/p>\n\n\n\n<p>The simulation theory debate extends into deep philosophical territory: a perfect simulation is indistinguishable from reality, making it impossible to find direct evidence that we are \u2014 or are not \u2014 inside one. Furthermore, if a machine were to pass the Turing test convincingly, questions arise about whether emulating consciousness is equivalent to <em>being<\/em> conscious \u2014 a debate that remains unresolved. <\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n<\/div><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Conclusion<\/h2>\n\n\n\n<p>The simulated fruitfly is not a curiosity \u2014 it is a proof of concept for one of the most consequential technology paths humanity has ever opened. In the span of roughly a year, whole-brain emulation went from a 302-neuron worm to a 125,000-neuron fly behaving authentically in a virtual world. The roadmap to 86 billion human neurons is long, but the pace of software, hardware, and neuroscience is accelerating.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">\ud83d\udd11 Key Takeaways<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>FlyWire<\/strong> spent ~5 years (2019\u20132024) building the open-access atlas of the complete adult fly brain \u2014 140K neurons, 50M synapses \u2014 using AI, 200+ scientists, and thousands of volunteer gamers<\/li>\n\n\n\n<li><strong>Eon Systems<\/strong> took that open atlas and, for the first time ever, ran it inside a physics-simulated body \u2014 closing the full sensory-motor loop<\/li>\n\n\n\n<li>The key neuron model used is <strong>Leaky Integrate-and-Fire (LIF)<\/strong> \u2014 simple rules that, when applied to the complete biological wiring diagram, produce emergent natural behavior<\/li>\n\n\n\n<li>This is fundamentally different from DeepMind&#8217;s fly, which used reinforcement learning \u2014 Eon&#8217;s fly runs on actual biological circuitry, not a trained imitation<\/li>\n\n\n\n<li>The next target is the mouse brain (~70M neurons), then eventually the human brain (~86B neurons)<\/li>\n\n\n\n<li>The connectome data is <strong>publicly available<\/strong> \u2014 any researcher or company can build on it at <a href=\"https:\/\/flywire.ai\/\">flywire.ai<\/a> and <a href=\"https:\/\/codex.flywire.ai\/\">codex.flywire.ai<\/a><\/li>\n<\/ul>\n\n\n\n<p><strong>Further Reading:<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\"><\/ul>\n\n\n\n<ul class=\"wp-block-list\">\n<li>A real fruitfly&#8217;s brain has been digitized and embodied in a physics-simulated 3D environment, achieving 91% behavioral accuracy with no AI training.<\/li>\n\n\n\n<li>The four core components \u2014 connection graph, synaptic weights, neuron polarity map, and firing rules \u2014 are sufficient to reproduce emergent biological behavior.<\/li>\n\n\n\n<li>Evolution is reframed as the ultimate training run; emulation lets us inherit its results for free.<\/li>\n\n\n\n<li>Three major applications: brain disease research, bio-inspired AI algorithms, and eventual consciousness upload.<\/li>\n\n\n\n<li>The same computational infrastructure being built for AI could, in principle, simulate human consciousness at scale.<\/li>\n\n\n\n<li>Fundamental questions remain unanswered: Is the fly experiencing anything? If a human brain is uploaded perfectly, is it <em>you<\/em>?<\/li>\n<\/ul>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\"\/>\n\n\n\n<h2 class=\"wp-block-heading\">Related References<\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong><a href=\"http:\/\/FlyWire.ai\">FlyWire.ai<\/a><\/strong> \u2014 Interactive 3D connectome map of the fruitfly brain (Princeton University): <a href=\"https:\/\/flywire.ai\/\" target=\"_blank\" rel=\"noopener\" title=\"\">flywire.ai<\/a><\/li>\n\n\n\n<li><strong>OpenWorm Project<\/strong> \u2014 C. elegans whole-brain emulation effort: <a href=\"https:\/\/openworm.org\/\" target=\"_blank\" rel=\"noopener\" title=\"\">openworm.org<\/a><\/li>\n\n\n\n<li><strong><a href=\"https:\/\/www.pcgamer.com\/hardware\/a-petri-dish-of-human-neurons-has-learned-to-play-doom-the-cells-play-a-lot-like-a-beginner-whos-never-seen-a-computer-and-in-fairness-they-havent\/\" target=\"_blank\" rel=\"noopener\" title=\"\">DishBrain \/ Human cells playing Doom<\/a><\/strong> <\/li>\n\n\n\n<li><strong>Simulation Theory overview<\/strong> \u2014 Nick Bostrom&#8217;s foundational paper: <a href=\"https:\/\/www.simulation-argument.com\/\" target=\"_blank\" rel=\"noopener\" title=\"\">simulation-argument.com<\/a><\/li>\n\n\n\n<li><strong>Eon Systems official update<\/strong>: <a href=\"https:\/\/eon.systems\/updates\/embodied-brain-emulation\" target=\"_blank\" rel=\"noopener\" title=\"\">eon.systems\/updates\/embodied-brain-emulation<\/a><\/li>\n\n\n\n<li><strong>Princeton FlyWire announcement:<\/strong> <a href=\"https:\/\/www.princeton.edu\/news\/2024\/10\/02\/mapping-entire-fly-brain-step-toward-understanding-diseases-human-brain\" target=\"_blank\" rel=\"noopener\" title=\"\">princeton.edu<\/a><\/li>\n\n\n\n<li><strong>Nature flagship paper (Dorkenwald et al., 2024): <\/strong><a href=\"https:\/\/doi.org\/10.1038\/s41586-024-07558-y\" target=\"_blank\" rel=\"noopener\" title=\"\">doi.org\/10.1038\/s41586-024-07558-y<\/a><\/li>\n\n\n\n<li><strong>Berkeley News feature on Philip Shiu<\/strong>: <a href=\"https:\/\/news.berkeley.edu\/2024\/10\/02\/researchers-simulate-an-entire-fly-brain-on-a-laptop-is-a-human-brain-next\/\" target=\"_blank\" rel=\"noopener\" title=\"\">news.berkeley.edu<\/a><\/li>\n<\/ul>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>FlyWire is a Princeton-led international consortium that spent five years building the first complete wiring diagram of an adult fruit fly brain \u2014 140,000 neurons and 50 million synaptic connections, mapped neuron by neuron using electron microscopy, AI, and thousands of volunteer gamers. The resulting open-access atlas, explorable at flywire.ai, became the foundational dataset that made Eon Systems&#8217; historic whole-brain emulation possible.<\/p>\n","protected":false},"author":1,"featured_media":8196,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[15,19,18,13],"tags":[],"class_list":["post-8195","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai","category-biological","category-education","category-quantum-and-u"],"aioseo_notices":[],"featured_image_src":"https:\/\/meta-quantum.today\/wp-content\/uploads\/2026\/03\/Flywire.jpg","featured_image_src_square":"https:\/\/meta-quantum.today\/wp-content\/uploads\/2026\/03\/Flywire.jpg","author_info":{"display_name":"coffee","author_link":"https:\/\/meta-quantum.today\/?author=1"},"rbea_author_info":{"display_name":"coffee","author_link":"https:\/\/meta-quantum.today\/?author=1"},"rbea_excerpt_info":"FlyWire is a Princeton-led international consortium that spent five years building the first complete wiring diagram of an adult fruit fly brain \u2014 140,000 neurons and 50 million synaptic connections, mapped neuron by neuron using electron microscopy, AI, and thousands of volunteer gamers. The resulting open-access atlas, explorable at flywire.ai, became the foundational dataset that made Eon Systems' historic whole-brain emulation possible.","category_list":"<a href=\"https:\/\/meta-quantum.today\/?cat=15\" rel=\"category\">AI<\/a>, <a href=\"https:\/\/meta-quantum.today\/?cat=19\" rel=\"category\">Biological<\/a>, <a href=\"https:\/\/meta-quantum.today\/?cat=18\" rel=\"category\">Education<\/a>, <a href=\"https:\/\/meta-quantum.today\/?cat=13\" rel=\"category\">Quantum and U<\/a>","comments_num":"0 comments","_links":{"self":[{"href":"https:\/\/meta-quantum.today\/index.php?rest_route=\/wp\/v2\/posts\/8195","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/meta-quantum.today\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/meta-quantum.today\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/meta-quantum.today\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/meta-quantum.today\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=8195"}],"version-history":[{"count":2,"href":"https:\/\/meta-quantum.today\/index.php?rest_route=\/wp\/v2\/posts\/8195\/revisions"}],"predecessor-version":[{"id":8198,"href":"https:\/\/meta-quantum.today\/index.php?rest_route=\/wp\/v2\/posts\/8195\/revisions\/8198"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/meta-quantum.today\/index.php?rest_route=\/wp\/v2\/media\/8196"}],"wp:attachment":[{"href":"https:\/\/meta-quantum.today\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=8195"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/meta-quantum.today\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=8195"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/meta-quantum.today\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=8195"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}