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Wolfram Stephen Wolfram might be onto something here😁 WOLFRAM PHYSICS in motion: Two competing feeders and and a predator. Everything here is a hypergraph...including the environment. We visualize a synthetic micro-ecosystem built on computational irreducibility, hypergraph rule-flow & emergent geometry. Inspired by the Wolfram Physics Project's quest for a...

99,485 views • 9 months ago •via X (Twitter)

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This isn't VFX visual effects...it's actual freakin physics! 🤯🤩🤗🙌🏾 You're watching the physics of space and matter coevolve...a small window into the kind of world Wolfram Physics Wolfram predicts. Every ripple, collision, and shimmer you see is a causal event in a living hypergraph. Space itself is an active network of nodes and links...springs and diagonals...constantly stretching, relaxing, and rewriting as the system evolves. Each interaction you see...a nutrient diffusing through the medium, a burrower tunneling, a tentacle feeling drag...is a computation of spacetime itself. Every connection that forms or breaks is an update to the causal structure: a new link, a new moment in the unfolding hypergraph universe. Our environment behaves like an adaptive fabric...the lattice tightens where organisms stir it, loosens where they pass. Chemical fields spread through those same links, feeding back into motion and growth. When the cluster pulsates, it's literally reorganizing local causal geometry...matter and space changing together!👌🏾 We even test causal invariance frame by frame, swapping operation orders to ensure that spacetime remains consistent no matter the update path. That's not animation logic...that's a computational physics experiment running live!🥳 Tentacles feel friction, burrowers dig through gradients, and behind them the lattice stiffens, storing history as structure. #Mathematics #Physics #WolframPhysics #Mathelirium

Mathelirium

20,090 views • 9 months ago

Stephen Wolfram just posed the most disturbing thought experiment about AI, and nobody has an answer for it. Wolfram: “Imagine humans are all in boxes. We’re all Darth Vader, inside these boxes, but you can’t actually see the human inside.” Civilization continues identically. Every human hidden in a machine. You see the output, not the person. Wolfram: “The world is operating, great paintings are being produced, but you can’t see any of the humans. All you see is a bunch of boxes doing human-like things.” Civilizational Turing test. If the external world operates the same, are humans contributing anything essential? Wolfram: “The world is operating as before, maybe even better than before. If you knew there were humans inside those boxes, you would say great outcome.” That’s the paradox. Know humans are inside and it’s a golden age. Remove that knowledge and it’s just machines producing results. Does the value change? Wolfram forces the question. Do we value creation or creator? If the art is identical, does consciousness behind it matter? Wolfram: “You can’t tell there are any humans. It’s just a bunch of Daleks operating.” From outside, machines behaving like humans look identical to actual humans. The show continues. Universe doesn’t register the difference. As AI capabilities expand, this stops being abstract. AI produces indistinguishable art, music, science. Does human creation retain special status? Why exactly? Wolfram isn’t answering. He’s exposing the void where our answer should be. If outcomes are identical, is human involvement meaningful or just attachment to how things historically worked? We assume human participation makes civilization valuable. If results don’t change either way, that assumption needs justification we’ve never properly given. Real test isn’t whether AI replicates output. It’s whether we can explain why human output matters more when the results are indistinguishable. If we can’t, we’re heading toward a future where civilization functions perfectly and whether humans are actually inside the boxes becomes irrelevant to everything except the humans wondering if they matter. And at that point, are we necessary or just witnesses to a system that would operate identically without us, asking questions that have no impact on anything except our own sense of purpose?

Dustin

198,102 views • 5 months ago

Stephen Wolfram, founder of Wolfram Research, explains how LLMs are quietly dismantling our deepest assumptions about consciousness: He argues that large language models have done something philosophy and neuroscience couldn't: "In terms of consciousness, I have to say, the idea that there's sort of something magic that goes beyond physics that leads to sort of conscious behavior, I kind of think that LLMs kind of put the final nail in that coffin." His reasoning is that LLMs keep doing things people assumed they couldn't: "There were all these things where it's like, oh, maybe it can't do this, but actually it does. And it's just an artificial neural net." Wolfram then challenges a core assumption about conscious experience: the feeling that we are a single, continuous self moving through time. "I think our notion of consciousness is a lot related to the fact that we believe in the single thread of experience that we have. It's not obvious that we should have a persistent thread of experience." He points out that physics doesn't actually support this intuition: "In our models of physics, we're made of different atoms of space at every successive moment of time. So the fact that we have this belief that we are somehow persistent, we have this thread of experience that extends through time, is not obvious." Then Wolfram offers a striking origin story for consciousness itself. Stephen Wolfram suggests it traces back to a simple evolutionary pressure: the moment animals first needed to move. "I kind of realized that probably when animals first existed in the history of life on Earth, that's when we started needing brains. If you're a thing that doesn't have to move around, the different parts of you can be doing different kinds of things. If you're an animal, then one thing you have to do is decide, are you going to go left or are you going to go right?" That single binary choice, he argues, may be the seed of everything we now call awareness: "I kind of think it's a little disappointing to feel that this whole wanted thing that ends up being what we think of as consciousness might have originated in just that very simple need to decide if you are an animal that can move. You have to take all that sensory input and you have to make a definitive decision about do you go this way or that way." The takeaway is unsettling but clarifying. If LLMs can produce complex behavior from simple rules, then consciousness may not be a mystical add-on to physics. It may just be what happens when a layered enough system has to make a decision.

Big Brain AI

195,022 views • 2 months ago

Introducing the web3evo MVP. Built on Constellation Network! Brought to you by #DAGChads, Developed by Techware Labs, Inc. The DAGChads Platform is a cutting-edge #web3 ecosystem built on the Constellation²'s #Hypergraph technology, designed to empower users to learn, grow, and earn rewards through active participation. A key feature of this ecosystem is the introduction of #Reputation #NFTs, which dynamically link user engagement with project growth and learning. These NFTs utilize an API to track and evaluate each user’s reputation, allowing for rewards based on their contributions and participation. The Reputation NFTs system provides a low-code/no-code environment, enabling companies to easily customize the reputation metrics that are collected and displayed within the NFTs. This creates a powerful incentive structure for users to deepen their involvement and engagement, promoting learning, social interaction, and contributions to the broader ecosystem. Through this mechanism, DAGChads introduces a novel way for users to build and leverage their reputation, unlocking rewards and exclusive access based on their standing within the community. The primary objectives of the DAGChads Platform are: To develop a user-centric platform that offers staking rewards and incentives for learning and participation. To facilitate interoperability with other Metagraphs, encouraging collaboration and innovation within the Hypergraph network. To ensure the platform’s long-term sustainability and scalability, adapting to the evolving needs of the web3 ecosystem. The DAGChads Platform offers a unique, multi-tiered staking model that incentivizes users to level up and unlock more exclusive reward pools and opportunities. Through continuous upgrades, robust data validation mechanisms, and a strong focus on interoperability, the platform aims to contribute significantly to the success and evolution of the Hypergraph network.

⚫hgtp://Proph151Music.DAG

10,602 views • 1 year ago

Physics feels stable, predictable, and well-behaved largely because we learned it in 3D. That comfort hides a trap. In 1907, Paul Ehrenfest pointed out something unsettling. If you take the laws we treat as fundamental and transplant them into a different number of spatial dimensions, they often stop working the way we expect. Not just numerically different but qualitatively different. The issue isn’t the force law by itself. It’s geometry. Gauss’s law ties inverse-square forces to the surface area of spheres, and sphere geometry depends on dimension. Change the dimension, and the same-looking force produces a different potential, a different balance of attraction and inertia, and a different fate for motion. You can see this cleanly with a single problem of central force motion. In d spatial dimensions, flux conservation gives F(r) ∝ 1 / rᵈ⁻¹ so the potential scales as V(r) ∝ −1 / rᵈ⁻² (for d ≠ 2) Now add angular momentum. The effective radial potential becomes V_eff(r) = L² / (2 m r²) − C / rᵈ⁻² In 3D, those two terms balance in just the right way to allow stable bound orbits. Small perturbations stay small. Atoms don’t collapse. Planets don’t spiral away. In other dimensions, that balance breaks. In 2D, the force becomes 1/r, the potential becomes logarithmic, and bound motion sits on a knife edge. In 4D and higher, the attractive term becomes too steep. The centrifugal barrier loses the fight. Orbits plunge or escape. Same equations. Same initial conditions. Different dimension. Different physics. This isn’t science fiction. It’s a warning label. So it's clear that a lot of what we call physical intuition is really three-dimensional intuition wearing a lab coat. #Physics #MathematicalPhysics #ClassicalMechanics #DynamicalSystems #Geometry #Ehrenfest

Mathelirium

32,138 views • 5 months ago