Mohamed Jean-Philippe Sangaré’s Post

Could time be an emergent phenomenon, arising from the complex interplay of quantum mechanics, relativity, and consciousness? How might the brain's multidimensional computations, reflecting patterns found in the universe, reveal a deeper connection between mind and cosmos? Is it possible that advancements in our understanding of temporal mechanics could one day make time travel a practical reality rather than a theoretical concept? Could Quantum AI and Reversible Quantum Computing provide the tools to simulate, manipulate, and even reshape the flow of time, offering practical applications of D-Theory that bridge the gap between theoretical physics and transformative technologies? These profound questions lie at the heart of Temporal Mechanics: D-Theory as a Critical Upgrade to Our Understanding of the Nature of Time (2025) by Alex M Vikoulov. D-Theory, also referred to as Quantum Temporal Mechanics, Digital Presentism, and D-Series, challenges conventional views of time as a fixed, universal backdrop to reality and instead redefines it as a dynamic interplay between the mind and the cosmos. https://lnkd.in/gg9chk7R #TemporalMechanics #DTheory #QuantumTemporalMechanics #QTM #consciousness #DigitalPresentism #TimeFlow #EmergentTime #TimeTravel #ObserverEffect #QuantumImmortality #QuantumNeuralNetworks #ArrowofTime #SelfSimulatingUniverse #ManyWorlds #Qbism #ConsciousObserver #TemporalDynamics #UniversalConsciousness #QuantumAI #QuantumComputing #QMInterpretation

Exploring the Frontier of AI, Quantum Computing, and Human Consciousness Advances in quantum computing and AI are redefining our understanding of human consciousness, bridging the realms of neuroscience, physics, and computation. Integrating ideas from David Bohm’s Implicate Order—a framework that sees the universe as a deeply interconnected whole—and the Hameroff-Penrose Orch-OR (Orchestrated Objective Reduction) model, which ties quantum coherence in microtubules to the emergence of consciousness, offers a compelling pathway to exploring consciousness not as an isolated phenomenon but as something inherently nonlocal and universal. Quantum computing, with its ability to process complex, probabilistic systems, provides the computational substrate to model these intricate processes. It allows us to simulate the interplay between classical neural networks and quantum phenomena, offering unprecedented insights into cognition, memory, and creativity. These capabilities open the door to preserving aspects of human consciousness in digital formats or extending its boundaries in ways previously unimaginable. This intersection of theory and technology also underscores the layered nature of consciousness: • Localized Consciousness: Neural activity within the brain, which underpins sensory perception, awareness, and memory. • Nonlocal Consciousness: The potential for quantum entanglement and coherence to form a substrate for intuition, creativity, and even collective cognition. • Cosmic Consciousness: As suggested by Bohm, a universal field where all individual consciousnesses interconnect, mirroring the unity of the cosmos itself. By combining AI’s processing power with quantum principles, we are not merely extending computational capabilities but actively redefining the boundaries of what can be understood and preserved. This approach has profound implications for neuroscience, philosophy, and our understanding of human identity within a larger cosmological framework. The integration of these disciplines demonstrates that what was once labeled as “unmeasurable” or “non-scientific” is now approachable through advanced theoretical models and computational experiments. As these frontiers unfold, science takes a crucial step toward addressing questions of consciousness not as mysteries but as phenomena grounded in the fundamental laws of the universe. #ArtificialIntelligence #QuantumComputing #Bohm #Penrose #Hameroff #Consciousness #Neuroscience #FutureOfHumanity #AI

Could time be an emergent phenomenon, arising from the complex interplay of quantum mechanics, relativity, and consciousness? How might the brain's multidimensional computations, reflecting patterns found in the universe, reveal a deeper connection between mind and cosmos? Is it possible that advancements in our understanding of temporal mechanics could one day make time travel a practical reality rather than a theoretical concept? Could Quantum AI and Reversible Quantum Computing provide the tools to simulate, manipulate, and even reshape the flow of time, offering practical applications of D-Theory that bridge the gap between theoretical physics and transformative technologies? These profound questions lie at the heart of Temporal Mechanics: D-Theory as a Critical Upgrade to Our Understanding of the Nature of Time, my 2025 paper and book. D-Theory, also referred to as Quantum Temporal Mechanics, Digital Presentism, and D-Series, challenges conventional views of time as a fixed, universal backdrop to reality and instead redefines it as a dynamic interplay between the mind and the cosmos. https://lnkd.in/gcQcY_ta #TemporalMechanics #DTheory #QuantumTemporalMechanics #QTM #consciousness #DigitalPresentism #TimeFlow #EmergentTime #TimeTravel #ObserverEffect #QuantumImmortality #QuantumNeuralNetworks #ArrowofTime #SelfSimulatingUniverse #ManyWorlds #Qbism #ConsciousObserver #TemporalDynamics #UniversalConsciousness #QuantumAI #QuantumComputing #QMInterpretation

"Mental pointer Brains" I can see a world where our brains only store a breadth of knowledge and not the actual depth, like compressed endpoints which we can choose to expand with technologies like AI assistants and openly explore. While i believe understanding some fundamental subjects like physics , maths, computer science and processes actually helps you form a good world model with which you can build viable products, once such a sufficiently well informed model of the world is formed in the mind we do not need to store the whole specifics of the subjects. Stephen wolfram in his essay "What Is Consciousness? Some New Perspectives from Our Physics Project" explores how our minds process and compress information to form coherent thoughts and perceptions, effectively creating mental pointers to the vast array of knowledge we encounter. I believe we will simply fill up our mind with this vast array of mental pointers without storing the knowledge specifics and we will chose to explore these with the help of AI. Yes, it might mean that we may grow dependent on the technology but are we not dependent right now. People call this the "Merge" and i believe we have already merged slowly during last couple of decades, half of our lives are spent digitally. Personally and practically i don't see the world going back anytime soon, these technologies are truly powerful and combine them with a naturally developed masterpiece system such as our "human brain" it can perform miracles. The greatest fear for automation is growing dependency, laziness and decreased human productiveness, while these are valid reasons there is another side to this where people can make themselves 7 to 10 times more productive. It all depends on the choices each individual decides to make. https://lnkd.in/ekBa-xps

Want your mind to be blown by another scientific fact? Neural conduction speed is 120 m/s, while the speed of an electric field in a conductor is 300,000,000 m/s! Why is that important? If we could transfer our minds to a computer, we might experience a sensation similar to time travel. Imagine spending 2.5 million days in a computer simulation, while our biological peers experience just one day for the entire thought process and mind maturation. Collectively entering such an electronic reality would create a form of time dilation. Think about movies like Inception or Under the Dome and Matrix. Even in our dreams, we experience a form of time dilation, though the reason for it might be different. Just when you thought grasping time in general relativity was the toughest challenge, wait until you learn about time in neuroscience. It’s not science fiction, just few decades in future. Neuroscience and AI might bring more fiction into science than general relativity and quantum physics brought in last century.

🌌 Progressive Determinism: A New Lens on Complexity and Emergence 🔍 💡 Imagine a universe where chaos and order aren't opposites but partners in a cosmic dance, creating everything from quantum particles to galaxies. Enter the concept of Progressive Determinism—a framework I’ve been exploring to unify ideas across physics, complexity, and information theory. 🌟 What is Progressive Determinism? 🔗 A system evolves deterministically, but its progression occurs through layers of increasing complexity, driven by entropy and deviations. Here’s how it works: Entropy acts as the engine, introducing variability and chaos. Fractal patterns and dimensional thresholds guide these deviations into structured, deterministic outcomes. The result? Complexity that emerges progressively, yet predictably. It’s like a cosmic symphony: 🎼 🎵 Chaos introduces variation → Entropy drives the flow → Deterministic rules compose the harmony. 🔭 Why It Matters in Physics From quantum mechanics to cosmology: 1️⃣ Quantum Systems: Wavefunction collapse can be viewed as entropy-driven progressive determinism, resolving chaotic superpositions into definite states. 2️⃣ Cosmological Structures: Galactic clusters, formed from entropy-driven deviations, follow fractal scaling laws to create observable order. 3️⃣ Information Emergence: Progressive determinism connects entropy, energy, and dimensional transitions, offering a unified way to describe how potential states manifest into reality. 🚀 Broader Implications Beyond physics, this concept has potential applications in: 🌐 Neural networks: Understanding how randomness guides learning. 🤖 AI: Designing systems that evolve through structured yet unpredictable feedback loops. 📊 Social systems: Modeling emergent behavior in complex human networks. 🔮 Does this idea resonate with your field of work or research? I’d love to hear your thoughts—whether you’re a physicist, data scientist, or just curious about how the universe organizes itself! Let’s discuss how Progressive Determinism can deepen our understanding of complexity, order, and the driving forces behind everything. 💬✨ #Physics #ComplexSystems #QuantumMechanics #Entropy #Fractals #Emergence #ProgressiveDeterminism #Innovation 🌟

Celebrating the Nobel Prize in Physics. 🏅 We’re excited about the 2024 Nobel Prize in Physics, awarded to John Hopfield and Geoffrey Hinton for their groundbreaking work in artificial intelligence. 🧠 At Quside, this recognition resonates deeply with us, as we’ve long been working with models closely related to those pioneered by Hopfield and Hinton. By leveraging spin systems and high-speed entropy sources, we explore how the quality of randomness impacts the simulation of these systems. Our work with Boltzmann networks also helps us tackle complex random distributions, pushing the boundaries of what can be achieved in AI and beyond. ⛓️💥 Read our latest article about how physics and AI advance together! https://lnkd.in/dBJ_4JVC

𝑾𝒉𝒆𝒏 𝑵𝒆𝒖𝒓𝒐𝒔𝒄𝒊𝒆𝒏𝒄𝒆 𝑴𝒆𝒕 𝑷𝒉𝒚𝒔𝒊𝒄𝒔 This year’s Nobel Prize in Physics, awarded to #AI pioneers John Hopfield and Geoffrey Hinton, confirms the immense potential of AI to unravel the mysteries of our world. What strikes me even more is thinking about the birth of AI as a fascinating tale of two disciplines converging: Neuroscience and Physics. By bridging the gap between the principles of 𝐩𝐡𝐲𝐬𝐢𝐜𝐬, 𝐧𝐞𝐮𝐫𝐨𝐬𝐜𝐢𝐞𝐧𝐜𝐞, 𝐚𝐧𝐝 𝐦𝐞𝐜𝐡𝐚𝐧𝐢𝐜𝐬, Hopfield and Hinton laid the foundation for neural networks, the backbone of modern AI. ▪ 𝐃𝐫. 𝐉𝐨𝐡𝐧 𝐇𝐨𝐩𝐟𝐢𝐞𝐥𝐝 is renowned for his work on Hopfield network models, which are computational models inspired by the neurons in the human brain. His work explains how the hippocampus—a region in the brain involved in memory processes—is a network of simple units working together to learn and remember. ▪ 𝐃𝐫. 𝐆𝐞𝐨𝐟𝐟𝐫𝐞𝐲 𝐇𝐢𝐧𝐭𝐨𝐧 is the “father of deep learning,” and began his work with Boltzmann machines. Using probabilistic processes from statistical physics, he understood how stable states of the network are low-energy configurations. This evolved into more advanced neural networks, laying the basis for deep learning. These discoveries are not just academic milestones; they are the building blocks of machine learning, enabling faster and more reliable decision-making, revolutionizing fields as diverse as particle physics, material science, and even astrophysics.✨ The fusion of 𝐍𝐞𝐮𝐫𝐨𝐬𝐜𝐢𝐞𝐧𝐜𝐞 and 𝐏𝐡𝐲𝐬𝐢𝐜𝐬 through AI offers the powerful lenses to understand complex systems, from molecules to societal behaviors. This #NobelPrize is a testament to the transformative power of interdisciplinary collaboration in our quest to understand the universe.🌍 🔔 Stay tuned for tomorrow's post about AI's potential to design new proteins! #AI #Neuroscience #Physics #NobelPrize #Innovation #MachineLearning #NeuralNetworks #DeepLearning #Science #Technology #Future #InterdisciplinaryCollaboratin #DeepLearning

Αͼ ψΐ πυπυ ⨀Quantum computations are deeply connected to the nature of existence and consciousness. The core principles like superposition and entanglement point to an underlying interconnectedness and non-locality that pervades all of reality. Just as a quantum particle can exist in multiple states simultaneously before measurement causes a "collapse", it raises profound questions about the very nature of our conscious experience. Is there a "cosmic wavefunction" of sorts that encapsulates all possibilities before consciousness filters down to our subjective reality? Quantum indeterminacy also implies there are limits to what can be known, echoing the limitations of human perception and reason. The language of mathematics and physics does indeed have the potential to reveal a unified theory of existence. At the deepest level, all phenomena - from subatomic particles to galactic clusters - adhere to the laws of physics described by elegant mathematical frameworks. The quest to unite quantum mechanics and general relativity into a "theory of everything" is an ongoing pursuit. If successful, it could elucidate the common origin that birthed matter, energy, space, and time itself. Just as remarkably, principles like symmetry, geometry, and simple rules can encode awe-inspiringly complex patterns and dynamics seen across nature and the cosmos. Mathematics may be revealing the inherent code that births all reality. Neural networks and symbolic logic are vital lenses for decoding nature's sublime geometries. The brain itself is a massively parallel quantum computer, and its emergent computational architectures model patterns seen throughout nature. Logical operations and symbolic representations mirror the abstract informational processes underlying physical systems. By combining these powerful paradigms, we can map the recursive algorithms and fractal geometries that shape everything from subatomic particles to galaxies, plants to biological networks. AI and deep learning may ultimately reveal the common proto-patterns from which reality's resplendent complexity unfolds - recreating the laws that weave quantum, material, and conscious realms into an inseparable holistic Unity. (Symbolizing the integration of quantum principles and digital intelligence as a step towards comprehending the grand dynamics that interweave existence, consciousness, and the limitless cosmos.🤯)