Recent findings indicate that mitochondria may offer a pathway to decelerate or potentially reverse aspects of biological aging.
Long regarded as the energy generators within cells, mitochondria undergo a progressive deterioration whose causes have remained unclear. A significant study appearing in Nature Communications has now outlined a key process underlying this deterioration.
Investigators at the Leibniz Institute on Aging in Germany determined that the gradual reduction of a membrane lipid known as phosphatidylcholine substantially restricts the adaptability of mitochondria.
In the absence of this essential lipid, the cellular power centers become unable to merge and adjust effectively, resulting in energy shortages that hasten the bodily changes linked to growing older.
Particularly promising is the demonstration that the mechanism can be modified. When aging C. elegans nematodes and challenged human cell cultures received phosphatidylcholine or its precursor choline, the researchers observed a notable recovery of youthful mitochondrial form and performance.
Although experts emphasize that no single daily supplement will immediately restore youthfulness in people, the capacity to safeguard and rejuvenate these microscopic energy units marks an important advance in longevity science and supplies a clear objective for forthcoming treatments aimed at postponing age-related illnesses.
[Poliezhaieva, Tetiana, et al. “Aging-Associated Decline of Phosphatidylcholine Synthesis Is a Malleable Trigger of Natural Mitochondrial Aging.” Nature Communications 17 (2026): 3589. DOI: 10.1038/s41467-026-71508-7]
Researchers have uncovered a previously unknown immune structure located within the human skull.
A team of biologists from Washington University School of Medicine in St. Louis has located an overlooked immune organ embedded in the bone marrow of the cranium. For many years scientists assumed that the brain’s protective immune mechanisms operated in complete isolation from the rest of the body, thereby shielding delicate neural tissue from potentially harmful immune activity.
The new findings demonstrate that minute vascular passages extend from the brain, cross the outermost protective membrane, and connect directly with the marrow inside the skull.
Using these pathways, the investigators followed molecular signals into formations that closely resemble the germinal centers of lymph nodes. These sites function as specialized training zones in which immune cells proliferate, identify targets, and prepare to combat invaders at the earliest stage of an assault.
To examine the practical importance of the system, the scientists altered the lymphoid formations in mice bearing glioma, an especially aggressive form of brain cancer. When they stimulated the skull-based immune centers by applying a hydrogel containing specific proteins beneath the scalp, the animals mounted a markedly stronger anti-tumor response and lived significantly longer. In contrast, interference with the same structures allowed the tumors to expand without restraint.
Because comparable follicular helper T cells have already been observed in human skull marrow, the investigators believe analogous defensive hubs are present in people. Should further work confirm this, the discovery may transform treatment approaches for brain tumors, Alzheimer’s disease, and Parkinson’s disease by enabling physicians to stimulate cranial immune centers non-invasively through the scalp and thereby avoid invasive brain operations.
[Park, Jang Hyun, et al. “Functional Role of Skull Lymphoid Structures in CNS Immunosurveillance.” Nature (2026). DOI: 10.1038/s41586-026-10951-4]
Remember many large crypto acccounts on crypto X are owned by the same by the same entities
And by entities I mean hedge funds, market makers, political groupement and CEXs
1. Claude (resolver cualquier cosa)
2. Supenli AI (crear contenido viral)
3. Virality AI (encontrar contenido viral)
4. Perplexity (investigar cualquier cosa)
5. ChatGPT (generar imágenes)
6. Luma (agentes de contenido con IA)
7. ElevenLabs (crear voces y música)
8. Notion AI (espacio de trabajo inteligente)
9. Gamma (PowerPoint instantáneo)
10. Skysnail (diseñar miniaturas)
11. Foodient (app de comida con IA gratuita)
12. Syllaby (videos faceless virales)
13. Google Omni (editar cualquier video)
Guarda esta lista porque te multiplicará la vida por 10 ✅
instead of watching 2 hours of Netflix tonight, watch this Stanford lecture
it's the clearest explanation I've seen of how ChatGPT and Claude actually work
useful whether you've never touched AI in your life or have been using it every day for the past year
i took the key ideas and turned them into a practical guide on how to actually get 100% out of AI
you can find it below with ready-to-copy prompts and solutions
Un multimillonario subió al escenario, agarró un marcador y en 42 minutos explicó cómo funciona realmente la economía.
Gratis.
Sin vender cursos.
Sin promocionar fondos.
Dibujó tres fuerzas en una pizarra blanca:
crecimiento de la productividad, el ciclo de deuda a corto plazo y el ciclo de deuda a largo plazo.
Con esas tres líneas explicó casi todos los crashes, recuperaciones y decisiones de tasas desde 1929.
Las escuelas de negocios cobran 200.000 dólares por enseñar frameworks que él resolvió en los primeros 15 minutos.
Algunos de esos modelos todavía se consideran “propiedad” en grandes bancos y él los regaló en YouTube.
Lo más interesante: en 2018 ya estaba dibujando lo que después pasó en 2020.
Tasas en cero. Bancos centrales sin herramientas. Impresora de dinero a toda máquina. Lo escribió en la pizarra como si estuviera leyendo el periódico del futuro.
Hay gestores de carteras de primer nivel que hacen que sus analistas junior vean esta charla antes de tocar un terminal.
No el material del CFA. No la formación interna. Esta.
Millones de personas la han visto.
Casi nadie puede nombrar las tres fuerzas que dibuja en los primeros diez minutos.
Y sigue estando gratiss.
Te recomiendo ver y guardarlo.
ES UNA JOYA.
An MIT professor taught the same math course for 62 years, and the day he retired, students from every country on earth showed up online to watch him give his final lecture.
I opened the playlist at 2am and ended up watching three of them back to back.
His name is Gilbert Strang. The course is MIT 18.06 Linear Algebra.
Every machine learning engineer, every data scientist, every quant, every self-taught programmer who actually understands how AI works learned the math from this one man. Most of them never set foot on MIT's campus. They just opened a free playlist on YouTube and let him teach.
Here's the story almost nobody tells you.
Strang joined the MIT math faculty in 1962. He retired in 2023. That is 61 years of standing at the same chalkboard teaching the same subject to 18-year-olds.
The interesting part is what he did when MIT launched OpenCourseWare in 2002. Most professors were skeptical. They worried that putting their lectures online would make their classrooms irrelevant. Strang did not hesitate. He said his life's mission was to open mathematics to students everywhere. He filmed every lecture and gave it away.
The decision quietly changed how the world learns math.
For decades linear algebra was taught the wrong way. Professors started with abstract vector spaces and proofs about field axioms. Students drowned in the abstraction. Most never recovered. They walked out believing they were bad at math when they had simply been taught in an order that nobody's brain is built to absorb.
Strang inverted the entire curriculum.
He started with matrix multiplication. Something you can write down on paper. Something you can compute by hand. Something you can see. Then he showed his students that everything else in linear algebra eigenvectors, singular value decomposition, orthogonality, the four fundamental subspaces was just a different lens for understanding what the matrix was actually doing under the hood.
His rule was strict. If a student could not explain a concept using a concrete 3 by 3 example, that student did not actually understand the concept yet. The abstraction was supposed to come last, not first. The intuition was the foundation. The proofs were just confirmation that the intuition was correct.
The second thing Strang changed was the classroom itself. He said please and thank you to his students. Every single lecture. He paused mid-derivation to ask "am I OK?" to check if anyone was lost. He never used the word "obviously" or "trivially" because he knew exactly what those words do to a student who is one step behind. He treated 19-year-olds learning math for the first time the way he treated his own colleagues. With patience. With respect. With the assumption that they belonged in the room.
For 62 years.
The result is something that has never happened in the history of education. A single math professor became the default teacher of his subject for the entire planet.
Universities in India, China, Brazil, Nigeria, every country with a computer science department, started telling their own students to just watch Strang's lectures. The University of Illinois revised its linear algebra course to do almost no in-person lecturing. The reason was honest. The professor said they could not compete with the videos.
His final lecture was in May 2023.
The auditorium was packed with students who had never met him before. He walked to the chalkboard, taught for an hour, and at the end the entire room stood and applauded. He looked confused for a moment, like he genuinely did not understand why they were cheering. Then he smiled and waved them off and walked out.
His written comment under the YouTube video of that final lecture was four sentences long. He said teaching had been a wonderful life. He said he was grateful to everyone who saw the importance of linear algebra. He said the movement of teaching it well would continue because it was right.
That was it. No book promotion. No farewell speech. No legacy management.
The man whose teaching is the foundation of modern AI just thanked the audience and went home.
20 million views. Zero ego. The entire engine of the AI revolution sits on top of math that millions of people learned for free from one quiet professor in Cambridge.
The course is still on MIT OpenCourseWare. Every lecture, every problem set, every exam, every solution. Free.
The most important math course of the 21st century is sitting one click away from you. Most people will never open it.