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Physicists Just Ruled Out The Universe Being a Simulation

A question that has vexed physicists for the past century may finally have a solution – but perhaps not the one everyone was hoping for.

In a new, detailed breakdown of current theory, a team of physicists led by Mir Faizal of the University of British Columbia has shown that there is no universal “Theory of Everything” that neatly reconciles general relativity with quantum mechanics – at least, not an algorithmic one.

A natural consequence of this is that the Universe can’t be a simulation, since any such simulations would have to operate algorithmically.

Startup provides a nontechnical gateway to coding on quantum computers

Quantum computers have the potential to model new molecules and weather patterns better than any computer today. They may also one day accelerate artificial intelligence algorithms at a much lower energy footprint. But anyone interested in using quantum computers faces a steep learning curve that starts with getting access to quantum devices and then figuring out one of the many quantum software programs on the market.

Now qBraid, founded by Kanav Setia and Jason Necaise ‘20, is providing a gateway to quantum computing with a platform that gives users access to the leading and software. Users can log on to qBraid’s cloud-based interface and connect with quantum devices and other computing resources from leading companies like Nvidia, Microsoft, and IBM. In a few clicks, they can start coding or deploy cutting-edge software that works across devices.

“The mission is to take you from not knowing anything about quantum computing to running your first program on these amazing machines in less than 10 minutes,” Setia says. “We’re a one-stop platform that gives access to everything the quantum ecosystem has to offer. Our goal is to enable anyone—whether they’re enterprise customers, academics, or individual users—to build and ultimately deploy applications.”

Scientist Solves 100-Year-Old Physics Puzzle To Track Airborne Killers

Researchers at the University of Warwick have created a straightforward new way to predict how irregularly shaped nanoparticles, a harmful type of airborne pollutant, move through the air.

Each day, people inhale countless microscopic particles such as soot, dust, pollen, microplastics, viruses, and engineered nanoparticles. Many of these particles are so small that they can reach deep into the lungs and even pass into the bloodstream, where they may contribute to serious health problems including heart disease, stroke, and cancer.

While most airborne particles have uneven shapes, existing mathematical models often treat them as perfect spheres because that makes the equations easier to handle. This simplification limits scientists’ ability to accurately describe or track how real, non-spherical particles move, especially those that are more dangerous.

Rare side effects of antipsychotic medications provide new evidence for safer global prescribing

Patients with severe mental illnesses, such as schizophrenia and bipolar disorder, often require long-term use of antipsychotic medications. Some of these drugs, however, can pose potential risks, such as elevated prolactin levels and compromised immune function. Previous studies have relied mostly on small or single-center data, making it difficult to accurately assess the true incidence of rare adverse effects.

Researchers from the LKS Faculty of Medicine at the University of Hong Kong (HKUMed), through multidisciplinary collaboration and rigorous epidemiological methods, leveraged territory-wide data from the Hospital Authority to conduct two internationally impactful studies. The findings were published in the journals World Psychiatry and The Lancet Psychiatry. These discoveries provide solid evidence for drug regulation and and establish Hong Kong as a global leader in big data research on psychiatric safety.

Functionally dominant hotspot mutations of mitochondrial ribosomal RNA genes in cancer

To study selection for somatic single nucleotide variants (SNVs) in tumor mtDNA, we identified somatic mtDNA variants across primary tumors from the GEL cohort (n = 14,106). The sheer magnitude of the sample size in this dataset, in conjunction with the high coverage depth of mtDNA reads (mean = 15,919×), enabled high-confidence identification of mtDNA variants to tumor heteroplasmies of 5%. In total, we identified 18,104 SNVs and 2,222 indels (Supplementary Table 1), consistent with previously reported estimates of approximately one somatic mutation in every two tumors1,2,3. The identified mutations exhibited a strand-specific mutation signature, with a predominant occurrence of CT mutations on the heavy strand and TC on the light strand in the non-control region that was reversed in the control region2 (Extended Data Fig. 1a, b). These mutations occur largely independently of known nuclear driver mutations, with the exception of a co-occurrence of TP53 mutation and mtDNA mutations in breast cancer (Q = 0.031, odds ratio (OR) = 1.43, chi-squared test) (Extended Data Fig. 2a and Supplementary Table 4).

Although the landscape of hotspot mutations in nuclear-DNA-encoded genes is relatively well described, a lack of statistical power has impeded an analogous, comprehensive analysis in mtDNA16,17. To do so, we applied a hotspot detection algorithm that identified mtDNA loci demonstrating a mutation burden in excess of the expected background mutational processes in mtDNA (Methods). In total, we recovered 138 unique statistically significant SNV hotspots (Q 0.05) across 21 tumor lineages (Fig. 1a, b and Supplementary Table 2) and seven indel hotspots occurring at homopolymeric sites in complex I genes, as previously described by our group (Extended Data Fig. 2b and Supplementary Table 3). SNV hotspots affected diverse genetic elements, including protein-coding genes (n = 96 hotspots, 12 of 13 distinct genes), tRNA genes (n = 8 hotspots, 6 of 22 distinct genes) and rRNA genes (n = 34 hotspots, 2 of 2 genes) (Fig. 1b, c, e).

View a PDF of the paper titled Reasoning with Sampling: Your Base Model is Smarter Than You Think, by Aayush Karan and 1 other authors

Frontier reasoning models have exhibited incredible capabilities across a wide array of disciplines, driven by posttraining large language models (LLMs) with reinforcement learning (RL). However, despite the widespread success of this paradigm, much of the literature has been devoted to disentangling truly novel behaviors that emerge during RL but are not present in the base models. In our work, we approach this question from a different angle, instead asking whether comparable reasoning capabilites can be elicited from base models at inference time by pure sampling, without any additional training. Inspired by Markov chain Monte Carlo (MCMC) techniques for sampling from sharpened distributions, we propose a simple iterative sampling algorithm leveraging the base models’ own likelihoods. Over different base models, we show that our algorithm offers substantial boosts in reasoning that nearly match and even outperform those from RL on a wide variety of single-shot tasks, including MATH500, HumanEval, and GPQA. Moreover, our sampler avoids the collapse in diversity over multiple samples that is characteristic of RL-posttraining. Crucially, our method does not require training, curated datasets, or a verifier, suggesting broad applicability beyond easily verifiable domains.

#Quantumgravity #Blackholes #Astrophysics #Feynmanpathintegral #Spacetimecurvature #Relativisticjets #Whitehole #Theoneequation #Scienceexplained #Research #Physics

When a Black Hole Becomes a White Hole — and Shoots a Jet Across the Universe.

https://lnkd.in/eUFddtjM

🌌 Have you ever wondered what happens inside a black hole — where physics seems to break? Einstein’s equations say it collapses forever… but quantum geometry tells a different story.

At the tiniest scales, spacetime itself pushes back. When curvature becomes extreme, a hidden repulsive side of gravity awakens — a mirror twin of the usual attraction. We call this curvature duality:

Homo Invocator

We live immersed in a persistent illusion: the idea that consciousness arises from the brain like the flame from a candle. Contemporary science, constrained by the very instruments it creates, proclaims that the mind is merely the result of electrical impulses and chemical reactions — an epiphenomenon of flesh.

Yet a deeper look — one that doesn’t reject science but rather transcends it — reveals a more radical reality: we, living beings, are not the origin of consciousness, but rather its antenna.

We are hardware. Bodies shaped by millions of years of biological evolution, a complex architecture of atoms and molecules organized into a fractal of systems. But this hardware, no matter how sophisticated, is nothing more than a receptacle, a stage, an antenna. What truly moves, creates, and inspires does not reside here, within this tangible three-dimensional realm; it resides in an unlimited field, a divine matrix where everything already exists. Our mind, far from being an original creator, is a channel, a receiver, an interpreter.

The great question of our time — and perhaps of all human history — is this: how can we update the software running on this biological hardware without the hardware itself becoming obsolete? Herein lies the fundamental paradox: we can dream of enlightenment, wisdom, and transcendence, yet if the body does not keep pace — if the physical circuits cannot support the flow — the connection breaks, the signal distorts, and the promise of spiritual evolution stalls.

The human body, a product of Darwinian evolution’s slow dance, is both marvel and prison. Our eyes capture only a minuscule fraction of the electromagnetic spectrum; our ears are limited to a narrow range of frequencies; our brains filter out and discard 99% of the information surrounding us. Human hardware was optimized for survival — not for truth!

This is the first major limitation: if we are receivers of a greater reality, our apparatus is radically constrained. It’s like trying to capture a cosmic symphony with an old radio that only picks up static. We may glimpse flashes — a sudden intuition, an epiphany, a mystical experience — but the signal is almost always imperfect.

Thus, every spiritual tradition in human history — from shamans to mystery schools, from Buddhism to Christian mysticism — has sought ways to expand or “hack” this hardware: fasting, meditation, chanting, ecstatic dance, entheogens. These are, in fact, attempts to temporarily reconfigure the biological antenna to tune into higher frequencies. Yet we remain limited: the body deteriorates, falls ill, ages, and dies.

If the body is hardware, then the mind — or rather, the set of informational patterns running through it — is software: human software (and a limited one at that). This software isn’t born with us; it’s installed through culture, language, education, and experience. We grow up running inherited programs, archaic operating systems that dictate beliefs, prejudices, and identities.

Beneath this cultural software, however, lies a deeper code: access to an unlimited field of possibilities. This field — call it God, Source, Cosmic Consciousness, the Akashic Records, it doesn’t matter — contains everything: all ideas, all equations, all music, all works of art, all solutions to problems not yet conceived. We don’t invent anything; we merely download it.

Great geniuses throughout history — from Nikola Tesla to Mozart, from Leonardo da Vinci to Fernando Pessoa — have testified to this mystery: ideas “came” from outside, as if whispered by an external intelligence. Human software, then, is the interface between biological hardware and this divine ocean. But here lies the crucial question: what good is access to supreme software if the hardware lacks the capacity to run it?

An old computer might receive the latest operating system, but only if its minimum specifications allow it. Otherwise, it crashes, overheats, or freezes. The same happens to us: we may aspire to elevated states of consciousness, but without a prepared body, the system fails. That’s why so many mystical experiences lead to madness or physical collapse.

Thus, we arrive at the heart of the paradox. If the hardware doesn’t evolve, even the most advanced software download is useless. But if the software isn’t updated, the hardware remains a purposeless machine — a biological robot succumbing to entropy.

Contemporary society reflects this tension. On one hand, biotechnology, nanotechnology, and regenerative medicine promise to expand our hardware: stronger, more resilient, longer-lived bodies. On the other, the cultural software governing us remains archaic: nationalism, tribalism, dogma, consumerism. It’s like installing a spacecraft engine onto an ox-drawn cart.

At the opposite end of the spectrum, we find the spiritual movement, which insists on updating the software — through meditation, energy therapies, expanded states of consciousness — but often neglects the hardware. Weakened, neglected bodies, fed with toxins, become incapable of sustaining the frequency they aim to channel. The result is a fragile, disembodied spirituality — out of sync with matter.

Humanity’s challenge in the 21st century and beyond is not to choose between hardware and software, but to unify them. Living longer is meaningless if the mind remains trapped in limiting programs. Aspiring to enlightenment is futile if the body collapses under the intensity of that light.

It’s essential to emphasize: the power does not reside in us (though, truthfully, it does — if we so choose). This isn’t a doctrine of self-deification, but of radical humility. We are merely antennas. True power lies beyond the physical reality we know, in a plane where everything already exists — a divine, unlimited power from which Life itself emerges.

Our role is simple yet grand: to invoke. We don’t create from nothing; we reveal what already is. We don’t invent; we translate. A work of art, a mathematical formula, an act of compassion — all are downloads from a greater source.

Herein lies the beauty: this field is democratic. It belongs to no religion, no elite, no dogma. It’s available to everyone, always, at any moment. The only difference lies in the hardware’s capacity to receive it and the (human) software that interprets it.

But there are dangers. If the hardware is weak or the software corrupted, the divine signal arrives distorted. This is what we see in false prophets, tyrants, and fanatics: they receive fragments of the field, but their mental filters — laden with fear, ego, and the desire for power — twist the message. Instead of compassion, violence emerges; instead of unity, division; instead of wisdom, dogma.

Therefore, conscious evolution demands both purification of the software (clearing toxic beliefs and hate-based programming) and strengthening of the hardware (healthy bodies, resilient nervous systems). Only then can the divine frequency manifest clearly.

If we embrace this vision, humanity’s future will be neither purely biological nor purely spiritual — it will be the fusion of both. The humans of the future won’t merely be smarter or longer-lived; they’ll be more attuned. A Homo Invocator: the one who consciously invokes the divine field and translates it into matter, culture, science, and art.

The initial paradox remains: hardware without software is useless; software without hardware is impossible. But the resolution isn’t in choosing one over the other — it’s in integration. The future belongs to those who understand that we are antennas of a greater power, receivers of an infinite Source, and who accept the task of refining both body and mind to become pure channels of that reality.

If we succeed, perhaps one day we’ll look back and realize that humanity’s destiny was never to conquer Earth or colonize Mars — but to become a conscious vehicle for the divine within the physical world.

And on that day, we’ll understand that we are neither merely hardware nor merely software. We are the bridge.

Deep down, aren’t we just drifting objects after all?
The question is rhetorical, for I don’t believe any of us humans holds the answer.

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Copyright © 2025, Henrique Jorge (ETER9)

Image by Gerd Altmann from Pixabay

[ This article was originally published in Portuguese in Link to Leaders at: https://linktoleaders.com/o-ser-como-interface-henrique-jorge-eter9/]

RRAM-based analog computing system rapidly solves matrix equations with high precision

Analog computers are systems that perform computations by manipulating physical quantities such as electrical current, that map math variables, instead of representing information using abstraction with discrete binary values (i.e., 0 or 1), like digital computers.

While computing systems can perform well on general-purpose tasks, they are known to be susceptible to noise (i.e., background or external interferences) and less precise than .

Researchers at Peking University and the Beijing Advanced Innovation Center for Integrated Circuits have developed a scalable analog computing device that can solve so-called matrix equations with remarkable precision. This new system, introduced in a paper published in Nature Electronics, was built using tiny non-volatile memory devices known as resistive random-access memory (RRAM) chips.

Mathematical proof debunks the idea that the universe is a computer simulation

From the article:

“We have demonstrated that it is impossible to describe all aspects of physical reality using a computational theory of quantum gravity,” says Dr. Faizal. “Therefore, no physically complete and consistent theory of everything can be derived from computation alone. Rather, it requires a non-algorithmic understanding, which is more fundamental than the computational laws of quantum gravity and therefore more fundamental than spacetime itself.”

It’s a plot device beloved by science fiction: our entire universe might be a simulation running on some advanced civilization’s supercomputer. But new research from UBC Okanagan has mathematically proven this isn’t just unlikely—it’s impossible.

Dr. Mir Faizal, Adjunct Professor with UBC Okanagan’s Irving K. Barber Faculty of Science, and his international colleagues, Drs. Lawrence M. Krauss, Arshid Shabir and Francesco Marino have shown that the fundamental nature of reality operates in a way that no computer could ever simulate.

Their findings, published in the Journal of Holography Applications in Physics, go beyond simply suggesting that we’re not living in a simulated world like The Matrix. They prove something far more profound: the universe is built on a type of understanding that exists beyond the reach of any algorithm.

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