It is because the phantom primal eye is centrally evoked by the cellular as generic APS identically with all the contents of special sense information that Leibniz’s “like can only interact with like” condition is satisfied by the non-physical primal eye “monad”—as opposed to Descartes’s cellular pineal gland.
A global hub for theories of consciousness—authenticated by leading theorists, designed for professional consciousness communities, and open to all.
A team of physicists has overcome a major obstacle in quantum computing by dramatically increasing the lifetime of magnons, tiny magnetic waves that can carry quantum information. The researchers extended their lifespan from just a few hundred nanoseconds to as long as 18 microseconds, nearly 100 times longer than previously achieved. The advance could eventually help make ultra-compact quantum computers, potentially as small as a 1-cent coin.
The international research team, led by Andrii Chumak of the University of Vienna, also uncovered an important insight. They found that the lifespan of magnons is not ultimately limited by the laws of physics, but by the quality of the material they travel through. Their findings were published in Science Advances.
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Quantum computing is supposed to be one of the most exciting new technologies that humanity is working on, with companies promising it can be used in chemistry, material science, logistics, and finance. Over the years, those use cases have been slowly eroded, but investment in quantum tech has only increased. Why? Let’s take a look.
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If this therapy could rejuvenate the whole body, why did researchers begin with the eye?
The answer comes down to safety, precision, and a part of the body where results can be measured directly making it the ideal first step toward human age-reversal trials.
This is a ~1 hour 7 minute talk titled “Geometric Framework for Biological Evolution” by Vitaly Vanchurin (http://cosmos.phy.tufts.edu/~vitaly/) given to our Center (https://allencenter.tufts.edu).
As the chart implies, the issue isn’t that the underlying weights of Fable 5 were made fundamentally “dumber”—it’s that Anthropic wrapped the model in an incredibly aggressive, restrictive policy routing architecture to satisfy compliance demands.
According to Anthropic’s documentation and recent technical breakdowns, the “nerf” comes down to a few major bottlenecks:
As developers quickly noticed—and as the BridgeBench data in HMOulJbWYAAw-bf.jpg proves—this “fix” came at a devastating cost to the model’s actual utility, cratering debugging scores by over 60 points.
For 19 days the best model on earth was illegal to show a foreign national, including Anthropic’s own staff. Yesterday Fable 5 came back, with an admitted new classifier, a silent reroute to Opus 4.8, and no proof the weights are the same. Nobody can publish that proof, and the vendor didn’t try. Access used to be gated by price. Now it’s gated by permission, and verified by vibes.
🌌 Holographic theory suggests a profound idea: the universe may store information on its boundary, while the spacetime we experience emerges from that information. In this view, gravity is not only a force between masses.
https://doi.org/10.13140/RG.2.2.17062.
It may also be a macroscopic effect of quantum information, especially entanglement, encoded on a cosmic horizon. 🧠✨
A simple way to express this is:
Horizon information → Entanglement → Spacetime geometry.
To describe how efficiently entanglement becomes geometry, we introduce an entanglement-weight field:
Here, W(x) represents the conversion efficiency from holographic entanglement to gravitational geometry.
This modifies the effective strength of gravity:
Nuttida Rungratsameetaweemana is challenging a story neuroscience has told for decades. According to the conventional account, our eyes collect raw information and relay it through a series of nerves and waystations that lead deep into the brain, eventually reaching the cortex. There, the thinking begins as information is processed and put to use for higher tasks such as reasoning, judgment and decision-making.
Her group’s work is complicating that account. Last year, the team published fMRI scans showing unexpected levels of activity in the earliest visual areas of the cortex, the regions that first receive visual signals. Rather than passively relaying what the eyes take in, those early areas seemed to process the same information differently depending on what the research participant was doing. When asked to sort shapes by one set of rules, a participant’s early visual system behaved one way. When asked to apply a different set of rules to the same shape, it behaved differently.
In a new paper published today in PLOS Biology, Rungratsameetaweemana and her team at Columbia Engineering show how the brain might pull this off. They built a simple neural network that follows many of the rules that govern real brains. Like the brain, their model contained one class of neurons that drive other neurons to fire and another class that suppress firing.