Dr. Mir Faizal, an Adjunct Professor at UBC Okanagan’s Irving K. Barber Faculty of Science, and his collaborators, Drs. Lawrence M. Krauss, Arshid Shabir, and Francesco Marino, have shown that the underlying fabric of reality operates in a way no computer could ever replicate.

Their study, published in the Journal of Holography Applications in Physics, doesn’t just dispute the idea of a simulated universe like The Matrix. It goes further, demonstrating that the cosmos itself is built upon a kind of understanding that lies outside the reach of any algorithm.

The Simulation Hypothesis Meets Mathematics

“It has been suggested that the universe could be simulated. If such a simulation were possible, the simulated universe could itself give rise to life, which in turn might create its own simulation. This recursive possibility makes it seem highly unlikely that our universe is the original one, rather than a simulation nested within another simulation,” says Dr. Faizal. “This idea was once thought to lie beyond the reach of scientific inquiry. However, our recent research has demonstrated that it can, in fact, be scientifically addressed.”

The team’s findings rest on the evolving understanding of what reality truly is. Physics has moved far beyond Isaac Newton’s view of solid objects moving through space. Einstein’s theory of relativity replaced that classical model, and quantum mechanics transformed it yet again. Now, at the forefront of theoretical physics, quantum gravity proposes that even space and time are not fundamental elements. Instead, they arise from something deeper — pure information.

The Hidden Realm Beneath Reality

Physicists describe this informational layer as a “Platonic realm,” a mathematical foundation more real than the physical world we perceive. According to the new research, it is from this realm that space and time themselves emerge.

However, the scientists demonstrated that even this information-based structure cannot fully describe reality through computation alone. By applying advanced mathematical principles, including Gödel’s incompleteness theorem, they proved that any consistent and complete model of existence requires what they call “non-algorithmic understanding.”

To grasp this idea, imagine how a computer works — it follows a set of defined instructions step by step. Yet, some truths exist that cannot be reached by following any sequence of logical operations. These are known as “Gödelian truths,” and while they are real, they cannot be proven using computation.

Where Computation Fails

Consider the statement, “This true statement is not provable.” If it were provable, it would be false, contradicting logic. If it cannot be proven, then it is true, which means any logical system attempting to prove it is incomplete. In either case, computation alone falls short.

“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.”

Why the Universe Cannot Be Simulated

If the underlying rules of the Platonic realm seem similar to those governing a computer simulation, could that realm itself be simulated? The answer, according to the researchers, is no.

“Drawing on mathematical theorems related to incompleteness and indefinability, we demonstrate that a fully consistent and complete description of reality cannot be achieved through computation alone,” explains Dr. Faizal. “It requires non-algorithmic understanding, which by definition is beyond algorithmic computation and therefore cannot be simulated. Hence, this universe cannot be a simulation.”

Co-author Dr. Lawrence M. Krauss notes that the implications of this finding extend deep into the foundations of physics. “The fundamental laws of physics cannot be contained within space and time, because they generate them. It has long been hoped, however, that a truly fundamental theory of everything could eventually describe all physical phenomena through computations grounded in these laws. Yet we have demonstrated that this is not possible. A complete and consistent description of reality requires something deeper — a form of understanding known as non-algorithmic understanding.”

Reality Beyond Algorithms

As Dr. Faizal summarizes, “Any simulation is inherently algorithmic — it must follow programmed rules. But since the fundamental level of reality is based on non-algorithmic understanding, the universe cannot be, and could never be, a simulation.”

For years, the simulation hypothesis was regarded as untestable, confined to the realms of philosophy and speculative fiction. This new research, however, anchors it firmly in mathematical and physical theory — delivering what may be the final, definitive answer to one of science’s most intriguing questions.

That plant, Tidestromia oblongifolia, has helped scientists at Michigan State University reveal how life can persist in such extreme conditions. Their findings offer a potential guide for developing crops that can survive in an increasingly hot climate.

In a study published in Current Biology, Research Foundation Professor Seung Yon “Sue” Rhee and Research Specialist Karine Prado report that T. oblongifolia actually grows more quickly under Death Valley’s summer conditions. The plant accomplishes this by fine-tuning its photosynthetic system to resist the damaging effects of heat.

A Plant That Grows Stronger in the Heat

For Prado, the project began with a simple question: how can this plant remain green and healthy when most others would wither within hours?

“When we first brought these seeds back to the lab, we were fighting just to get them to grow,” Prado said. “But once we managed to mimic Death Valley conditions in our growth chambers, they took off.”

Working with colleagues in the Rhee lab at MSU’s Plant Resilience Institute, Prado used custom-built growth chambers to reproduce the desert’s harsh light and extreme daily temperature shifts. The results were astonishing. In just 10 days, T. oblongifolia tripled its biomass. Meanwhile, other related species known for their heat tolerance stopped growing entirely.

The World’s Most Heat-Tolerant Plant

After only two days in extreme heat, T. oblongifolia expanded its photosynthetic comfort zone, allowing it to keep producing energy efficiently. Within two weeks, its optimal photosynthetic temperature rose to 45 degrees Celsius (113 degrees Fahrenheit) — higher than that of any major crop on record.

“This is the most heat-tolerant plant ever documented,” Rhee said. “Understanding how T. oblongifolia acclimates to heat gives us new strategies to help crops adapt to a warming planet.”

How the Desert Survivor Works

Using a combination of physiological tests, live imaging, and genomic analysis, the research team uncovered how T. oblongifolia coordinates multiple biological systems to survive.

Under Death Valley-level heat, the plant’s mitochondria — the structures that generate energy — move closer to the chloroplasts, where photosynthesis occurs. At the same time, the chloroplasts reshape into distinctive “cup-like” forms never before observed in higher plants. These adaptations may help the plant capture and recycle carbon dioxide more efficiently, maintaining energy production even under stress.

Within 24 hours of heat exposure, thousands of genes adjust their activity. Many are involved in shielding proteins, membranes, and photosynthetic machinery from damage. The plant also increases production of an enzyme known as Rubisco activase, which helps keep photosynthesis functioning smoothly at high temperatures.

Lessons for Future Agriculture

With global temperatures expected to rise by as much as 5 degrees Celsius by the end of the century, extreme heat is already reducing yields for essential crops like wheat, maize, and soybeans. As the global population grows, scientists are racing to find ways to sustain food production.

“T. oblongifolia shows us that plants have the capacity to adapt to extreme temperatures,” Rhee said. “If we can learn how to replicate those mechanisms in crops, it could transform agriculture in a hotter world.”

Learning From Nature’s Toughest Survivors

For decades, plant biology has centered on model species that are easy to cultivate, such as Arabidopsis, rice, and maize. Rhee believes it is time to look beyond these familiar plants and study species that have evolved to endure the world’s harshest environments.

“Desert plants have spent millions of years solving the challenges we’re only beginning to face,” she said. “We finally have the tools, such as genomics, high-resolution live imaging and systems biology, to learn from them. What we need now is broader support to pursue this kind of research.”

Her lab is already applying these insights, studying how the genes and cellular structures that give T. oblongifolia its extraordinary resilience might be used to make food crops more heat-tolerant.

“This research doesn’t just tell us how one desert plant beats the heat,” Prado said. “It gives us a roadmap for how all plants might adapt to a changing climate.”

The findings suggest that Antarctic ice retreat is not confined to one area but can spread across regions through oceanic links, amplifying ice loss on a continental scale. This process, in which meltwater from one region accelerates melting elsewhere, is known as a “cascading positive feedback.” Understanding this chain reaction offers crucial insight into why Antarctic ice sheets may be inherently unstable, both in the distant past and in the modern era.

Reconstructing Ancient Ice-Sheet Collapse

The study set out to identify what caused the large-scale ice loss in East Antarctica thousands of years ago.

The East Antarctic Ice Sheet, which holds over half of Earth’s freshwater, is already losing ice in some coastal zones today. Knowing how these massive ice systems responded to earlier warm periods provides valuable clues to their future under modern climate change. To trace this history, the team analyzed marine sediment cores collected from Lützow-Holm Bay, near Japan’s Syowa Station along the Sôya Coast. These were combined with geological and geomorphological surveys across Dronning Maud Land.

The sediments were obtained through decades of Japanese Antarctic Research Expeditions (JARE) between 1980 and 2023, including recent sampling from the icebreaker Shirase. Using sedimentological, micropaleontological, and geochemical analyses, along with measurements of beryllium isotope ratios (10Be/9Be), the researchers reconstructed past environmental changes in the bay. Their data show that around 9,000 years ago, warm Circumpolar Deep Water (CDW) surged into the bay, leading to the collapse of floating ice shelves. Once these shelves broke apart, their loss of structural support allowed inland ice to accelerate toward the sea.

Modeling Reveals a Cascading Ocean Feedback

To determine why warm deep water intensified during that period, the researchers ran climate and ocean circulation models. These simulations showed that meltwater from other Antarctic regions, including the Ross Ice Shelf, spread throughout the Southern Ocean. This influx of freshwater freshened the surface ocean, strengthening vertical stratification and preventing cold surface water from mixing downward.

As a result, warm deep water was able to move more easily toward East Antarctica’s continental shelf. This created a reinforcing cycle: meltwater increased stratification, which in turn enhanced warm-water inflow, causing even more melting. The models demonstrate that this kind of interconnected “cascading feedback” could allow melting in one sector of Antarctica to trigger or accelerate ice loss in others through large-scale ocean circulation patterns.

A Warning Echoing Across Millennia

The research provides some of the clearest evidence yet that Antarctica’s ice sheet can undergo self-reinforcing, widespread melting when the planet warms. Although the event occurred in the early Holocene epoch, when global temperatures were naturally higher than during the last Ice Age, the same physical processes are relevant today.

Modern observations show that parts of the West Antarctic Ice Sheet — such as the Thwaites and Pine Island glaciers — are already retreating rapidly as warm deep water intrudes beneath them. If similar cascading feedbacks are happening now, localized melting could spread and accelerate overall ice loss, contributing to faster global sea-level rise.

International Collaboration and Global Implications

The project involved more than 30 institutions, including NIPR, the Geological Survey of Japan (AIST), the Japan Agency for Marine-Earth Science and Technology (JAMSTEC), the University of Tokyo, Kochi University, Hokkaido University, and partners from New Zealand, Spain, and other countries.

This large-scale collaboration combined field surveys, marine sediment studies, cosmogenic nuclide dating, and advanced coupled climate-ocean modeling to reconstruct how the Antarctic ice-ocean system evolved.

Professor Suganuma emphasized the broader meaning of the findings: “This study provides essential data and modeling evidence that will facilitate more accurate predictions of future Antarctic ice-sheet behavior. The cascading feedbacks identified in this study serve to underscore the notion that minor regional alterations can potentially engender global ramifications.”