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New hypothesis argues the universe simulates itself into existence
A physics paper proposes neither you nor the world around you are real.
- A new hypothesis says the universe self-simulates itself in a "strange loop".
- A paper from the Quantum Gravity Research institute proposes there is an underlying panconsciousness.
- The work looks to unify insight from quantum mechanics with a non-materialistic perspective.
How real are you? What if everything you are, everything you know, all the people in your life as well as all the events were not physically there but just a very elaborate simulation? Philosopher Nick Bostrom famously considered this in his seminal paper "Are you living in a computer simulation?," where he proposed that all of our existence may be just a product of very sophisticated computer simulations ran by advanced beings whose real nature we may never be able to know. Now a new theory has come along that takes it a step further – what if there are no advanced beings either and everything in "reality" is a self-simulation that generates itself from pure thought?
The physical universe is a "strange loop" says the new paper titled "The Self-Simulation Hypothesis Interpretation of Quantum Mechanics" from the team at the Quantum Gravity Research, a Los Angeles-based theoretical physics institute founded by the scientist and entrepreneur Klee Irwin. They take Bostrom's simulation hypothesis, which maintains that all of reality is an extremely detailed computer program, and ask, rather than relying on advanced lifeforms to create the amazing technology necessary to compose everything within our world, isn't it more efficient to propose that the universe itself is a "mental self-simulation"? They tie this idea to quantum mechanics, seeing the universe as one of many possible quantum gravity models.
One important aspect that differentiates this view relates to the fact that Bostrom's original hypothesis is materialistic, seeing the universe as inherently physical. To Bostrom, we could simply be part of an ancestor simulation, engineered by posthumans. Even the process of evolution itself could just be a mechanism by which the future beings are testing countless processes, purposefully moving humans through levels of biological and technological growth. In this way they also generate the supposed information or history of our world. Ultimately, we wouldn't know the difference.
But where does the physical reality that would generate the simulations comes from, wonder the researchers? Their hypothesis takes a non-materialistic approach, saying that everything is information expressed as thought. As such, the universe "self-actualizes" itself into existence, relying on underlying algorithms and a rule they call "the principle of efficient language."
Under this proposal, the entire simulation of everything in existence is just one "grand thought." How would the simulation itself be originated? It was always there, say the researchers, explaining the concept of "timeless emergentism." According to this idea, time isn't there at all. Instead, the all-encompassing thought that is our reality offers a nested semblance of a hierarchical order, full of "sub-thoughts" that reach all the way down the rabbit hole towards the base mathematics and fundamental particles. This is also where the rule of efficient language comes in, suggesting that humans themselves are such "emergent sub-thoughts" and they experience and find meaning in the world through other sub-thoughts (called "code-steps or actions") in the most economical fashion.
In correspondence with Big Think, physicist David Chester elaborated: "While many scientists presume materialism to be true, we believe that quantum mechanics may provide hints that our reality is a mental construct. Recent advances in quantum gravity, such as seeing spacetime emergent via a hologram, also is a hint that spacetime is not fundamental. This is also compatible with ancient Hermetic and Indian philosophy. In a sense, the mental construct of reality creates spacetime to efficiently understand itself by creating a network of subconscious entities that can interact and explore the totality of possibilities."
The scientists link their hypothesis to panpsychism, which sees everything as thought or consciousness. The authors think that their "panpsychic self-simulation model" can even explain the origin of an overarching panconsciousness at the foundational level of the simulations, which "self-actualizes itself in a strange loop via self-simulation." This panconsciousness also has free will and its various nested levels essentially have the ability to select what code to actualize, while making syntax choices. The goal of this consciousness? To generate meaning or information.
If all of this is hard to grasp, the authors offer another interesting idea that may link your everyday experience to these philosophical considerations. Think of your dreams as your own personal self-simulations, postulates the team. While they are rather primitive (by super-intelligent future AI standards), dreams tend to provide better resolution than current computer modeling and are a great example of the evolution of the human mind. As the scientists write, "What is most remarkable is the ultra-high-fidelity resolution of these mind-based simulations and the accuracy of the physics therein." They point especially to lucid dreams, where the dreamer is aware of being in a dream, as instances of very accurate simulations created by your mind that may be impossible to distinguish from any other reality. To that end, now that you're sitting here reading this article, how do you really know you're not in a dream? The experience seems very high in resolution but so do some dreams. It's not too much of a reach to imagine that an extremely powerful computer that we may be able to make in not-too-distant future could duplicate this level of detail.
The team also proposes that in the coming years we will be able to create designer consciousnesses for ourselves as advancements in gene editing could allow us to make our own mind-simulations much more powerful. We may also see minds emerging that do not require matter at all.
While some of these ideas are certainly controversial in the mainstream science circles, Klee and his team respond that "We must critically think about consciousness and certain aspects of philosophy that are uncomfortable subjects to some scientists."
Want to know more? You can read the full paper online in the journal Entropy.
More on the hypothesis and the backstory of the Quantum Gravity Research institute —
- Is There Evidence That We're Living in a Computer Simulation? - Big ... ›
- Here's how to prove that you are a simulation and nothing is real ... ›
- Physicist creates AI algorithm that may prove reality is simulation - Big Think ›
- Physicist creates AI algorithm that may prove reality is simulation - Big Think ›
Certain water beetles can escape from frogs after being consumed.
- A Japanese scientist shows that some beetles can wiggle out of frog's butts after being eaten whole.
- The research suggests the beetle can get out in as little as 7 minutes.
- Most of the beetles swallowed in the experiment survived with no complications after being excreted.
In what is perhaps one of the weirdest experiments ever that comes from the category of "why did anyone need to know this?" scientists have proven that the Regimbartia attenuata beetle can climb out of a frog's butt after being eaten.
The research was carried out by Kobe University ecologist Shinji Sugiura. His team found that the majority of beetles swallowed by black-spotted pond frogs (Pelophylax nigromaculatus) used in their experiment managed to escape about 6 hours after and were perfectly fine.
"Here, I report active escape of the aquatic beetle R. attenuata from the vents of five frog species via the digestive tract," writes Sugiura in a new paper, adding "although adult beetles were easily eaten by frogs, 90 percent of swallowed beetles were excreted within six hours after being eaten and, surprisingly, were still alive."
One bug even got out in as little as 7 minutes.
Sugiura also tried putting wax on the legs of some of the beetles, preventing them from moving. These ones were not able to make it out alive, taking from 38 to 150 hours to be digested.
Naturally, as anyone would upon encountering such a story, you're wondering where's the video. Thankfully, the scientists recorded the proceedings:
The Regimbartia attenuata beetle can be found in the tropics, especially as pests in fish hatcheries. It's not the only kind of creature that can survive being swallowed. A recent study showed that snake eels are able to burrow out of the stomachs of fish using their sharp tails, only to become stuck, die, and be mummified in the gut cavity. Scientists are calling the beetle's ability the first documented "active prey escape." Usually, such travelers through the digestive tract have particular adaptations that make it possible for them to withstand extreme pH and lack of oxygen. The researchers think the beetle's trick is in inducing the frog to open a so-called "vent" controlled by the sphincter muscle.
"Individuals were always excreted head first from the frog vent, suggesting that R. attenuata stimulates the hind gut, urging the frog to defecate," explains Sugiura.
For more information, check out the study published in Current Biology.
Are "humanized" pigs the future of medical research?
The U.S. Food and Drug Administration requires all new medicines to be tested in animals before use in people. Pigs make better medical research subjects than mice, because they are closer to humans in size, physiology and genetic makeup.
In recent years, our team at Iowa State University has found a way to make pigs an even closer stand-in for humans. We have successfully transferred components of the human immune system into pigs that lack a functional immune system. This breakthrough has the potential to accelerate medical research in many areas, including virus and vaccine research, as well as cancer and stem cell therapeutics.
Existing biomedical models
Severe Combined Immunodeficiency, or SCID, is a genetic condition that causes impaired development of the immune system. People can develop SCID, as dramatized in the 1976 movie “The Boy in the Plastic Bubble." Other animals can develop SCID, too, including mice.
Researchers in the 1980s recognized that SCID mice could be implanted with human immune cells for further study. Such mice are called “humanized" mice and have been optimized over the past 30 years to study many questions relevant to human health.
Mice are the most commonly used animal in biomedical research, but results from mice often do not translate well to human responses, thanks to differences in metabolism, size and divergent cell functions compared with people.
Nonhuman primates are also used for medical research and are certainly closer stand-ins for humans. But using them for this purpose raises numerous ethical considerations. With these concerns in mind, the National Institutes of Health retired most of its chimpanzees from biomedical research in 2013.
Alternative animal models are in demand.
Swine are a viable option for medical research because of their similarities to humans. And with their widespread commercial use, pigs are met with fewer ethical dilemmas than primates. Upwards of 100 million hogs are slaughtered each year for food in the U.S.
In 2012, groups at Iowa State University and Kansas State University, including Jack Dekkers, an expert in animal breeding and genetics, and Raymond Rowland, a specialist in animal diseases, serendipitously discovered a naturally occurring genetic mutation in pigs that caused SCID. We wondered if we could develop these pigs to create a new biomedical model.
Our group has worked for nearly a decade developing and optimizing SCID pigs for applications in biomedical research. In 2018, we achieved a twofold milestone when working with animal physiologist Jason Ross and his lab. Together we developed a more immunocompromised pig than the original SCID pig – and successfully humanized it, by transferring cultured human immune stem cells into the livers of developing piglets.
During early fetal development, immune cells develop within the liver, providing an opportunity to introduce human cells. We inject human immune stem cells into fetal pig livers using ultrasound imaging as a guide. As the pig fetus develops, the injected human immune stem cells begin to differentiate – or change into other kinds of cells – and spread through the pig's body. Once SCID piglets are born, we can detect human immune cells in their blood, liver, spleen and thymus gland. This humanization is what makes them so valuable for testing new medical treatments.
We have found that human ovarian tumors survive and grow in SCID pigs, giving us an opportunity to study ovarian cancer in a new way. Similarly, because human skin survives on SCID pigs, scientists may be able to develop new treatments for skin burns. Other research possibilities are numerous.
The ultraclean SCID pig biocontainment facility in Ames, Iowa. Adeline Boettcher, CC BY-SA
Pigs in a bubble
Since our pigs lack essential components of their immune system, they are extremely susceptible to infection and require special housing to help reduce exposure to pathogens.
SCID pigs are raised in bubble biocontainment facilities. Positive pressure rooms, which maintain a higher air pressure than the surrounding environment to keep pathogens out, are coupled with highly filtered air and water. All personnel are required to wear full personal protective equipment. We typically have anywhere from two to 15 SCID pigs and breeding animals at a given time. (Our breeding animals do not have SCID, but they are genetic carriers of the mutation, so their offspring may have SCID.)
As with any animal research, ethical considerations are always front and center. All our protocols are approved by Iowa State University's Institutional Animal Care and Use Committee and are in accordance with The National Institutes of Health's Guide for the Care and Use of Laboratory Animals.
Every day, twice a day, our pigs are checked by expert caretakers who monitor their health status and provide engagement. We have veterinarians on call. If any pigs fall ill, and drug or antibiotic intervention does not improve their condition, the animals are humanely euthanized.
Our goal is to continue optimizing our humanized SCID pigs so they can be more readily available for stem cell therapy testing, as well as research in other areas, including cancer. We hope the development of the SCID pig model will pave the way for advancements in therapeutic testing, with the long-term goal of improving human patient outcomes.
Adeline Boettcher earned her research-based Ph.D. working on the SCID project in 2019.
Satellite imagery can help better predict volcanic eruptions by monitoring changes in surface temperature near volcanoes.
- A recent study used data collected by NASA satellites to conduct a statistical analysis of surface temperatures near volcanoes that erupted from 2002 to 2019.
- The results showed that surface temperatures near volcanoes gradually increased in the months and years prior to eruptions.
- The method was able to detect potential eruptions that were not anticipated by other volcano monitoring methods, such as eruptions in Japan in 2014 and Chile in 2015.
How can modern technology help warn us of impending volcanic eruptions?
One promising answer may lie in satellite imagery. In a recent study published in Nature Geoscience, researchers used infrared data collected by NASA satellites to study the conditions near volcanoes in the months and years before they erupted.
The results revealed a pattern: Prior to eruptions, an unusually large amount of heat had been escaping through soil near volcanoes. This diffusion of subterranean heat — which is a byproduct of "large-scale thermal unrest" — could potentially represent a warning sign of future eruptions.
Conceptual model of large-scale thermal unrestCredit: Girona et al.
For the study, the researchers conducted a statistical analysis of changes in surface temperature near volcanoes, using data collected over 16.5 years by NASA's Terra and Aqua satellites. The results showed that eruptions tended to occur around the time when surface temperatures near the volcanoes peaked.
Eruptions were preceded by "subtle but significant long-term (years), large-scale (tens of square kilometres) increases in their radiant heat flux (up to ~1 °C in median radiant temperature)," the researchers wrote. After eruptions, surface temperatures reliably decreased, though the cool-down period took longer for bigger eruptions.
"Volcanoes can experience thermal unrest for several years before eruption," the researchers wrote. "This thermal unrest is dominated by a large-scale phenomenon operating over extensive areas of volcanic edifices, can be an early indicator of volcanic reactivation, can increase prior to different types of eruption and can be tracked through a statistical analysis of little-processed (that is, radiance or radiant temperature) satellite-based remote sensing data with high temporal resolution."
Temporal variations of target volcanoesCredit: Girona et al.
Although using satellites to monitor thermal unrest wouldn't enable scientists to make hyper-specific eruption predictions (like predicting the exact day), it could significantly improve prediction efforts. Seismologists and volcanologists currently use a range of techniques to forecast eruptions, including monitoring for gas emissions, ground deformation, and changes to nearby water channels, to name a few.
Still, none of these techniques have proven completely reliable, both because of the science and the practical barriers (e.g. funding) standing in the way of large-scale monitoring. In 2014, for example, Japan's Mount Ontake suddenly erupted, killing 63 people. It was the nation's deadliest eruption in nearly a century.
In the study, the researchers found that surface temperatures near Mount Ontake had been increasing in the two years prior to the eruption. To date, no other monitoring method has detected "well-defined" warning signs for the 2014 disaster, the researchers noted.
The researchers hope satellite-based infrared monitoring techniques, combined with existing methods, can improve prediction efforts for volcanic eruptions. Volcanic eruptions have killed about 2,000 people since 2000.
"Our findings can open new horizons to better constrain magma–hydrothermal interaction processes, especially when integrated with other datasets, allowing us to explore the thermal budget of volcanoes and anticipate eruptions that are very difficult to forecast through other geophysical/geochemical methods."