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Category: quantum physics – Page 24

The AI revolution is happening faster than experts ever predicted — and we’ve hit the turning point.

The long-debated arrival of artificial general intelligence (AGI) may be closer than we think, with some experts suggesting we could reach the technological singularity within the next year.

A new analysis of nearly 8,600 expert predictions reveals shifting timelines, particularly since the rise of large language models (LLMs) like ChatGPT. While previous estimates placed AGI’s emergence around 2060, recent advancements have led many to revise their forecasts to as early as 2030.

Some industry leaders, however, believe AGI’s arrival is imminent, and with the rapid progression of computing power and potential breakthroughs in quantum computing, we may soon see machines capable of surpassing human intelligence.

Despite the excitement, skepticism remains. Some researchers argue that intelligence is more than just computational power, encompassing emotional, social, and existential dimensions that machines may never fully replicate. Others question whether AI, no matter how advanced, can independently drive scientific discoveries or simply act as an accelerator for human innovation. While the exact timeline for AGI remains uncertain, one thing is clear: humanity is on the brink of an AI-driven transformation, and the choices we make now will determine whether this future benefits or disrupts society.

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In this work, I present a coherent and comprehensive argument for the nature of consciousness as the inherent ground of phenomena backed by experimental evidence confirming the predictions make by this hypothesis.

This argument makes its point by establishing an equivalence between all observers, generating a set of observational and mathematical predictions which were then tested and confirmed.

Furthermore, when the core tenet of the argument is accepted, it provides clear, testable explanations for most of the curently unresolved questions regarding consciousness, intelligence, and the nature of observed phenomena.

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In human engineering, we design systems to be predictable and controlled. By contrast, nature thrives on systems where simple rules generate rich, emergent complexity. The computational nature of the universe explains how simplicity can generate the complexity we see in natural phenomena. Imagine being able to understand everything about the universe and solve all its mysteries by a computational approach that uses very simple rules. Instead of being limited to mathematical equations, using very basic computational rules, we might be able to figure out and describe everything in the universe, like what happened at the very beginning? What is energy? What’s the nature of dark matter? Is traveling faster than light possible? What is consciousness? Is there free will? How can we unify different theories of physics into one ultimate theory of everything?

This paradigm goes against the traditional notion that complexity in nature must arise from complicated origins. It claims that simplicity in fundamental rules can produce astonishing complexity in behavior. Entering the Wolfram’s physics project: The computational universe!

Thousands of hours have been dedicated to the creation of this video. Producing another episode of this caliber would be difficult without your help. If you would like to see more, please consider supporting me on / disculogic, or via PayPal for a one-time donation at https://paypal.me/Disculogic.

Chapters:
00:00 Intro.
01:48 Fundamentally computational.
08:51 Computational irreducibility.
13:14 Causal invariance.
16:16 Universal computation.
18:44 Spatial dimensions.
21:36 Space curvature.
23:52 Time and causality.
27:12 Energy.
29:38 Quantum mechanics.
31:31 Faster than light travel.
34:56 Dark matter.
36:30 Critiques.
39:15 Meta-framework.
41:19 The ultimate rule.
44:21 Consciousness.
46:00 Free will.
48:02 Meaning and purpose.
49:09 Unification.
55:14 Further analysis.
01:02:30 Credits.

#science #universe #documentary

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Researchers discovered how Floquet Majorana fermions can improve quantum computing by controlling superconducting currents, potentially reducing errors and increasing stability. A new study has revealed significant insights into the behavior of electric current flow in superconductors, which could contribute to advancements in controlled quantum information processing.

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Although Navier–Stokes equations are the foundation of modern hydrodynamics, adapting them to quantum systems has so far been a major challenge. Researchers from the Faculty of Physics at the University of Warsaw, Maciej Łebek, M.Sc. and Miłosz Panfil, Ph.D., Prof., have shown that these equations can be generalized to quantum systems, specifically quantum liquids, in which the motion of particles is restricted to one dimension.

This discovery opens up new avenues for research into transport in one-dimensional quantum systems. The resulting paper, published in Physical Review Letters, was awarded an Editors’ Suggestion.

Liquids are among the basic states of matter and play a key role in nature and technology. The equations of hydrodynamics, known as the Navier–Stokes equations, describe their motion and interactions with the environment. Solutions to these equations allow us to predict the behavior of fluids under various conditions, from the and the in blood vessels, to the dynamics of quark-gluon plasma on subatomic scales.

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In a new study published in Physical Review D, Professor Ginestra Bianconi, Professor of Applied Mathematics at Queen Mary University of London, proposes a new framework that could revolutionize our understanding of gravity and its relationship with quantum mechanics.

The study, titled “Gravity from Entropy,” introduces a novel approach that derives from quantum relative entropy, bridging the gap between two of the most fundamental yet seemingly incompatible theories in physics: and Einstein’s general relativity.

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