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Jul 26, 2024

Quantum Experiments to Provide Evidence for the Simulation Hypothesis and its Connection to Consciousness

Posted by in categories: quantum physics, science, theory, virtual reality

Researchers at California State Polytechnic University (CalPoly), Pomona are carrying out a series of quantum physics experiments expected to provide strong scientific evidence that we live in a computer simulated virtual reality.

Devised by former NASA physicist Thomas Campbell, the five experiments are variations of the double-slit and delayed-choice quantum eraser experiments, which explore the conditions under which quantum objects ‘collapse’ from a probabilistic wavefunction to a defined particle. In line with the Copenhagen Interpretation of quantum mechanics, Campbell attributes a fundamental role to measurement, but extends it to human observers. In his view, quantum mechanics shows that the physical world is a virtual reality simulation that is computed for our consciousness on demand. In essence, what you do not see does not exist.

Campbell and Khoshnoud.


Campbell’s quantum experiments have been designed to reveal the interactive mechanism by which nature probabilistically generates our experience of the physical world. Herein, Campbell asserts that, like a videogame, the universe is generated as needed for the player and does not exist independent of observation.

While multiple quantum experiments have pointed to the probabilistic and informational nature of reality, Campbell’s experiments are the first to investigate the connection between consciousness and simulation theory. These experiments are based on Campbell’s paper ‘On Testing the Simulation Theory’ originally published in the International Journal of Quantum Foundations in 2017.

Paradigm-shifting consequences

Importantly, Campbell’s version of the simulation hypothesis differs from the ‘ancestor simulation’ thought experiment popularized by philosopher Dr. Nick Bostrom. “Contrary to what Bostrom postulates, the idea here is that consciousness is not a product of the simulation — it is fundamental to reality,” Campbell explains. “If all five experiments work as expected, this will challenge the conventional understanding of reality and uncover profound connections between consciousness and the cosmos.” The first experiment is currently being carried out by two independent teams of researchers — One at California State Polytechnic University (Pomona) headed by Dr. Farbod Khoshnoud, and the other at a top-tier Canadian university that has chosen to participate anonymously at this time.


To learn more, or to follow their progress visit Testing the Hypothesis, a platform bringing together all relevant information about Campbell’s experiments, including a detailed explanation of each.

Campbell will be joined by Donald Hoffman, Rizwan Virk, Stephan A. Schwartz and others for the Doorway to the Future Event in Huntsville, Alabama this September.

Jul 25, 2024

In vivo magnetogenetics for cell-type-specific targeting and modulation of brain circuits

Posted by in categories: biotech/medical, genetics, nanotechnology, neuroscience

Minimally invasive cellular-level target-specific neuromodulation is needed to decipher brain function and neural circuitry. Here nano-magnetogenetics using magnetic force actuating nanoparticles has been reported, enabling wireless and remote stimulation of targeted deep brain neurons in freely behaving animals.

Jul 25, 2024

Tony Blair, Prophet of the Inevitable, Embraces AI

Posted by in category: robotics/AI

He pushed the British left to accept capitalism. Now he’s asking the world to make peace with artificial intelligence.

Jul 25, 2024

Enhanced Database AIDS Wildfire Managers in Predicting Fires

Posted by in category: biotech/medical

“There is a tremendous amount of interest in what enables wildfire ignitions and what can be done to prevent them,” said Dr. Erica Fleishman. “This database increases the ability to access relevant information and contribute to wildfire preparedness and prevention.”


Can wildfires be predicted in advance to allow for safeguards that can prevent their spread? This is what a recent study published in Earth System Science Data hopes to address as a team of researchers have developed a database to help firefighters and power companies establish protocol for implementing strategies that holds the potential for helping to reduce the spread of a wildfire before it gets too large.

Wildfire closure sign seen in the Oregon Cascades in September 2020. (Credit: Oregon State University)

Continue reading “Enhanced Database AIDS Wildfire Managers in Predicting Fires” »

Jul 25, 2024

LLNL researchers uncover key to resolving long-standing ICF hohlraum drive deficit

Posted by in category: energy

In inertial confinement fusion experiments, lasers at Lawrence Livermore National Laboratory’s National Ignition Facility focus on a tiny fuel capsule suspended inside a cylindrical x-ray oven called a hohlraum. (Photo: Jason Laurea)

Jul 25, 2024

Researchers Develop Method for High-Capacity, Secure Quantum Communication Using Qudits

Posted by in categories: computing, quantum physics

The Quantum Insider (TQI) is the leading online resource dedicated exclusively to Quantum Computing.

Jul 25, 2024

OpenAI announces SearchGPT, its AI-powered search engine

Posted by in category: robotics/AI

SearchGPT is just a “prototype” for now. The service is powered by the GPT-4 family of models and will only be accessible to 10,000 test users at launch, OpenAI spokesperson Kayla Wood tells The Verge. Wood says that OpenAI is working with third-party partners and using direct content feeds to build its search results. The goal is to eventually integrate the search features directly into ChatGPT.

It’s the start of what could become a meaningful threat to Google, which has rushed to bake in AI features across its search engine, fearing that users will flock to competing products that offer the tools first. It also puts OpenAI in more direct competition with the startup Perplexity, which bills itself as an AI “answer” engine. Perplexity has recently come under criticism for an AI summaries feature that publishers claimed was directly ripping off their work.

Jul 25, 2024

AI could enhance almost two-thirds of British jobs, claims Google

Posted by in categories: employment, robotics/AI

Research commissioned by Google estimates 31% of jobs would be insulated from AI and 61% radically transformed by it.

Jul 25, 2024

Did abstract mathematics exist before the big bang?

Posted by in categories: cosmology, mathematics

Did abstract mathematics, such as Pythagoras’s theorem, exist before the big bang?

Simon McLeish Lechlade, Gloucestershire, UK

The notion of the existence of mathematical ideas is a complex one.

Continue reading “Did abstract mathematics exist before the big bang?” »

Jul 25, 2024

Network properties determine neural network performance

Posted by in categories: information science, mapping, mathematics, mobile phones, robotics/AI, transportation

Machine learning influences numerous aspects of modern society, empowers new technologies, from Alphago to ChatGPT, and increasingly materializes in consumer products such as smartphones and self-driving cars. Despite the vital role and broad applications of artificial neural networks, we lack systematic approaches, such as network science, to understand their underlying mechanism. The difficulty is rooted in many possible model configurations, each with different hyper-parameters and weighted architectures determined by noisy data. We bridge the gap by developing a mathematical framework that maps the neural network’s performance to the network characters of the line graph governed by the edge dynamics of stochastic gradient descent differential equations. This framework enables us to derive a neural capacitance metric to universally capture a model’s generalization capability on a downstream task and predict model performance using only early training results. The numerical results on 17 pre-trained ImageNet models across five benchmark datasets and one NAS benchmark indicate that our neural capacitance metric is a powerful indicator for model selection based only on early training results and is more efficient than state-of-the-art methods.

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