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What If Your Brain Is Connected to the Universe | Quantum Consciousness Theory

What if your brain isn’t just a biological machine, but part of something far greater? In this video, we explore Quantum Consciousness Theory, the mind-bending idea that human consciousness may be deeply connected to the fabric of the universe itself.

What if I told you that your brain might be tapped into the same quantum field that governs the entire universe? That every thought you think, every decision you make, could be connected to a vast network of information that spans across space and time itself? It sounds like science fiction, but what we’re about to explore together challenges everything we thought we knew about consciousness, reality, and our place in the cosmic order.

Could thoughts and awareness arise not just from neurons, but from the strange and mysterious rules of quantum physics? Is it possible that your brain taps into the quantum world, linking you to the cosmos in ways science is only beginning to understand? These questions push the boundaries of what we know about the universe, quantum mechanics, and the nature of reality itself.

We’ll dive into fascinating ideas about the quantum mind, entanglement, and the possibility that consciousness and the universe are intertwined. This isn’t just philosophy, it’s a scientific journey through some of the most groundbreaking and controversial theories about the human mind.

🌌 Whether you’re here to learn, wonder, or simply drift into sleep with thought-provoking science, this video will leave you with a new way of looking at both your mind and the cosmos.

Midlife and Late-Life Alzheimer Disease Blood Biomarkers and 11-Year Cognitive Decline

Background and ObjectivesPlasma biomarkers of Alzheimer disease (AD) neuropathology (amyloid-β42 to amyloid β40 [Aβ42/40] ratio, phosphorylated tau at threonine [p-tau181]), neurodegeneration (neurofilament light [NfL]), and neuroinflammation (glial…

Physicists knock at the door of the zeptoverse

In general, the rarer a decay, the more sensitive it is to the influence of new particles. Among the rarest is when a beauty quark annihilates with an oppositely charged antiquark to produce a muon and an antimuon. In the Standard Model of particle physics, this process occurs through a complicated set of interactions, making the decay extraordinarily unlikely: less than a few times per billion beauty particles.

However, in the, new particles could provide an additional route for the decay to follow, altering how often it occurs. For decades, these decays have been seen as ‘golden channels’ in the search for new physics. ‘Physicists have been looking for this rare type of decay since 1984, which was before I was born,’ said Cliff.

In 2024, a major upgrade to the LHCb experiment made it possible that this rarest of decays – the Bd to mu mu decay – might be found at last. An enormous new sample of beauty decays from 2024 and 2025 harnessed the ability of the upgraded LHCb experiment to tell different types of particles apart. By using machine learning techniques, the researchers were able to suppress the huge amounts of background noise that would otherwise bury these very rare signals, allowing them to obtain the first evidence for the Bd to mu mu decay.


The team, working at the upgraded LHCb experiment at CERN’s Large Hadron Collider (LHC) near Geneva, were studying beauty quarks, exotic cousins of the up and down quarks that make up all atomic matter in the universe.

When these beauty particles are created, they live for just one and a half trillionths of a second before they decay. The way they decay can tell us about physics that happens at very short distance scales: trillionths of billionths of a metre.

“What we found in these latest results is an incredibly rare decay of one of these beauty particles, where it turns into two even smaller particles called muons,” said Dr Harry Cliff from the University of Cambridge’s Cavendish Laboratory, who led the analysis team. “This process only happens for one in every ten billion beauty particles, so it’s incredibly difficult to find.”

Can LLMs design proteins?

In the “muni × Adaptyv TREM2 hackathon”, human teams competed against LLMs to use AI protein design tools to create protein binders against the medically relevant target TREM2. Remarkably, the result was a tie between human teams and LLM agents.

I am optimistic that the emergence of automated AI protein design may actually free human protein engineers to explore creative ‘weird’ directions with the power of these tools at our disposal.

Note: these results were posted back in May 2026.


… or how AI agents tied 10 human teams at designing TREM2 binders.

After a busy few weeks of binding assays, we’re ready to release the results from the muni × Adaptyv TREM2 hackathon, in which 10 human teams and 6 fully autonomous AI (LLM) agents working end-to-end on muni’s platform designed binders against TREM2, a target implicated in Alzheimer’s disease. This took place in San Francisco, in a single day. Participants contributed 141 designs in total, with the top 100 by Boltz-2 ipSAE going to the wet lab. Today, all results are live on Proteinbase. We will further showcase some interesting findings throughout this hackathon and, of course, tell you which team (humans or agents) won it. Or, even more surprising, that both teams in fact tied.

muni is the platform the agent teams ran on, a sandboxed environment in which an AI agent gets a target sequence, budget, and tool access. It is then expected to design proteins without a human supervising it. First, let’s define what an (LLM) “Agent” is: it means a state-of-the-art language model (think ChatGPT or Claude), with access to tools (via a Model Context Protocol or MCP), with a single starting prompt. In this hackathon, the agent picked the tools, built a pipeline, ranked its own outputs, and submitted the final 10, which is to say it does not mean “an LLM was asked to randomly generate 10 sequences”. All agents ran autonomously on muni.