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Research Into Naturally Occurring Hair Growth in Skin Nevi May Inform New Regenerative Therapies

An international team of researchers funded in part by NIAMS sought to understand why skin nevi grow long hair. Nevi, which are a type of skin lesion, have an abundance of pigment-producing cells, called melanocytes, that have become aged (or senescent). The team determined that senescent melanocytes within nevi produce large quantities of several signaling molecules. One such molecule, called osteopontin, causes dormant hair stem cells to wake up, which increases hair growth.

The study, which appeared in the journal Nature on June 21, 2023, provides answers as to why nevi are hairy and also uncovers the unexpected growth-promoting potential of senescent cells, which are typically thought to be associated with inhibited tissue growth.

AI Models Mirror Human Logic on Real-World Scenarios

“What we show is that the models actually capture that human uncertainty pretty well,” said Michael Lepori. [ https://www.labroots.com/trending/technology/30475/ai-models…cenarios-2](https://www.labroots.com/trending/technology/30475/ai-models…cenarios-2)


Can AI models distinguish fact from fiction? This is what a new study scheduled to be presented at the International Conference on Learning Representations this weekend hopes to address as a team of scientists investigated how AI models could tell the difference between facts and “fake news”. This study has the potential to help scientists, engineers, and the public better understand how AI models can evolve to meet human needs, which comes at a time when AI is becoming more integrated into our everyday lives.

For the study, the researchers analyzed how AI language models (LMs) were able to differentiate between different topics and information and judge what’s true and what’s fake. The motivation behind this study was to address a knowledge gap regarding whether large language models (LLMs) have a human-like understanding of the world or if they simply make decisions based on what’s given to them.

The goal of the study was to ascertain if the LMs could determine whether an event is real or fake, along with ascertaining when the LM makes this determination during its thought process. For example, the researchers would give the LM simple scenarios like “clean a car”, clean a road”, and “clean a cloud”, and ask the LM to figure out which was real or fake. In the end, the researchers found that large LMs were capable of differentiating between real and fake events or data.

Identification and characterization of BRAF⇔TP53 interactions in melanoma

O’Toole et al. identify novel interactors of both normal BRAF and BRAFV600E and discover TP53 as a BRAFV600E-enhanced interactor in melanoma cells. While TP53 mutations do not frequently occur in melanoma, the authors demonstrate TP53 inactivation and a sequestration of cytoplasmic TP53 after oncogenic BRAF activation.

Why faster AI isn’t always better

In the race to make AI models not just reason better but respond faster, latency—the delay before an answer appears—is often treated as a purely technical constraint, something to minimize and move past. But how is this relentless push for speed actually impacting the people using these systems every day?

There is a rich body of work in human–computer interaction linking faster response times to better usability. But AI models are fundamentally different from the deterministic systems that previous research was built on. When you wait for a file to download or a page to load, the outcome is fixed and predictable.

AI models are probabilistic—you cannot anticipate the precise response. Their conversational interface means users naturally read human social cues into the interaction. A pause might be read as the AI “thinking,” for instance. Users are increasingly asked to choose between faster models and slower, deeper-reasoning ones, without guidance on what that choice actually means for their experience.

Recent Scientific Evidence that Supports Nichols’s Lost Primal Eye Theory of Mind I. Core Premise: The Evolutionary Shift

The Phantom Organ and The “Hard Problem” — I apply MVT to solve David Chalmers’s “Hard Problem” of consciousness-the question of why physical brain processes are accompanied by subjective feelings (qualia).


Nichols’s theory posits that self-referential consciousness and abstract thought in many modern animals are the evolutionary result of the loss of a physical sensory organ: the parietal/pineal eye (the “primal eye”). Nichols maps this transition across three brain states in vertebrate evolution: The E2 State (Finite-State): Early fish, amphibians, and ancestral reptiles (as well as modern “living fossils” like the Tuatara) possessed a functional, light-sensitive median eye on top of their skulls, connected to the pineal gland. This organ directly controlled thermoregulation, circadian rhythms, and basic predator detection in coldblooded (ectothermic) animals. Their brains were “hard-wired,” responding directly to environmental stimuli. The E1 State (Infinite-State): As mammals and birds evolved warmbloodedness (endothermy), external temperature sensing became redundant, and advanced lateral eyes took over visual duties. The primal eye atrophied, leaving behind only the internal pineal gland. Freed from the direct “lock-step” control of the sun, the brain became plastic and self-organising (infinite-state). The E0 State: Some lineages, like certain dinosaurs and modern crocodilians, lost both the median eye and the pineal gland entirely. II. The Phantom Organ and The “Hard Problem” Nichols applies MVT to solve David Chalmers’s “Hard Problem” of consciousness-the question of why physical brain processes are accompanied by subjective feelings (qualia). The Virtual Sensor: Just as an amputee can experience a “phantom limb” because the neural matrix still expects the arm, the E1 mammalian brain experiences a “phantom eye”. The brain was built over millions of years to process a central stream of generic sensory data from the primal eye. Centrally Evoked Mentation: When the physical eye retreated, it left an internal sensory void. The brain compensated by simulating the presence of this lost hub to unscramble data from the other senses. This virtual simulation is the seat of the subjective “I”. III. The Origins of REM Sleep and Dreaming Nichols heavily critiques philosophers like Owen Flanagan, who argue that dreams are useless evolutionary “spandrels” (biological noise). Baseline Architecture: In MVT, Rapid Eye Movement (REM) sleep is the baseline functional state of the new E1 architecture. Because the physical tether to sunlight was severed, the brain uses this “phantom” space to generate internal models.

For the first time, scientists pinpoint the brain cells behind depression

Scientists have identified two specific types of brain cells that behave differently in people with depression, offering a clearer picture of what is happening inside the brain. By analyzing donated brain tissue with advanced genetic tools, the researchers found changes in neurons linked to mood and stress, as well as in immune-related microglia cells. These differences point to disruptions in key brain systems and reinforce that depression is rooted in biology, not just emotions.

First direct nanomagnet measurement finds switching attempts far slower than long-assumed

A compass always points north—or does it? Magnets normally maintain a stable direction of magnetization, pointing from south to north (S→N). However, this direction can change under strong magnetic fields or heat. For example, a compass placed near a strong magnet may no longer point in the right direction.

Magnets can also lose their magnetism when exposed to high levels of heat. This isn’t just relevant to wayfinding during your camping trips—if the magnets in hard drives and memory storage devices are affected, it could mean losing all of your precious data.

Researchers at Tohoku University sought to better understand the intricate ways in which this thermally-activated switching occurs in nanomagnets, and successfully measured it experimentally for the very first time. The results are published in Communications Materials.

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