@karenTorrezX Increíble el nivel de ineptitud de los compañeros de la guardia. Con entrenamiento podrían reducir a ese salvaje sin armas. Todos corren hacia sitio seguro dejando a la mujer sola. Cobardes falta de hombría y entrenamiento. Patético.
@andresfergut Mi caso es similar. Ya tengo casi 60 años, coticé 550 semanas y mi ahorro pensional es de casi 50 millones. Ahora que aprobaron el engendro de reforma cuando cumpla 65 años recibiré 250mil máx al mes. Ni para el pan del mes. Atraco "Histórico".
@sinderrumbe Es muy recurrente que los propietarios "arreglen" el lote como la "tradición" manda... Destrucción de vegetación, terraceo con retro y buldócer, desprecio por el manejo de aguas y todo un compendio de desastres. Ignorancia y tradiciones que no cambian. Hay que hacer pedagogía.
Durante años se perpetuó la imagen de una Cali de ricos muy ricos y pobres muy pobres. El terremoto hizo visible a otra Cali, la de una enorme clase media que trabaja, emprende, se rebusca, construye patrimonio y responde con enorme solidaridad cuando las cosas se ponen difíciles. Una clase media berraquita que necesita instituciones a su altura.
La clase media de Cali no apareció con el terremoto. El terremoto simplemente los hizo visibles. Estamos en deuda con ellos.
Columna de esta semana en el @ElNuevoSiglo
Gracias por leer y compartir.
12 COSAS QUE NO ENTIENDEN LOS ZURDOS
1. No tienes derecho a una casa. Tienes derecho a construir o comprar libremente una casa
2. No tienes derecho a un trabajo. Tienes derecho a buscar trabajo, ofrecer tu trabajo y contratar libremente.
3. No tienes derecho a un salario determinado. Tienes derecho a negociar libremente el precio de tu trabajo.
4. No tienes derecho a la riqueza. Tienes derecho a crear, intercambiar, ahorrar e invertir libremente para alcanzarla.
5. No tienes derecho a una empresa. Tienes derecho a emprender y crear una empresa en total libertad.
6. No tienes derecho a que alguien financie a la fuerza tu negocio. Tienes derecho a buscar libremente capital y convencer a otros de invertir voluntariamente.
7. No tienes derecho a comida gratuita. Tienes derecho a producirla, comprarla, intercambiarla o recibirla voluntariamente y en libertad.
8. No tienes derecho a tener lo mismo que los demás. Tienes derecho a que no se te impida disponer de lo que legítimamente produces o adquieres.
9. No tienes derecho a que el Estado te garantice un determinado nivel de vida. Tienes derecho a vivir bajo leyes que protejan tu vida, libertad y propiedad, nada más.
10. No tienes derecho a que alguien te dé dinero. Tienes derecho a ganarlo mediante intercambios voluntarios.
11. No tienes derecho a que el mercado te compre lo que produces. Tienes derecho a ofrecer tus productos libremente y competir por compradores.
12. No tienes derecho a que nadie te ofenda ni critique. Tienes derecho a expresar tus ideas y la obligación de permitir que los demás expresen sus ideas.
No solo tenemos expresidentes que se niegan a retirarse, también tenemos una opinión adicta a reaccionar a cuanta bobada escriben por aquí. También es nuestra responsabilidad y nuestro deber dejarlos atrás, asignarle el espacio que les corresponde por escribir tanta bobada en redes: el de la irrelevancia y el olvido.
Rome handed out free grain to 40,000 citizens in 73 BC. By 46 BC, Julius Caesar found 320,000 people lining up for their monthly ration. That eight-fold expansion happened in under three decades, and it shows you how welfare states actually grow.
No Roman senator stood up and announced a plan to addict a third of the city to government bread. It happened incrementally, through political competition. Each magistrate who wanted votes expanded eligibility. Each expansion normalized the next one. The citizen who once considered the dole shameful eventually expected it, then demanded it, then organized politically to protect it.
This is the core mechanism free market thinkers have identified across every era: once you create a transfer program, you create a constituency for that program. Recipients vote. Administrators build careers. Grain merchants who supply the state develop a stake in keeping the contracts flowing. The political economy locks in.
Caesar, to his credit, actually cut the rolls back to 150,000 through verification audits. It was one of his more economically coherent moves, though the Senate still murdered him. His successors quietly let the numbers climb again.
What did the dole require? Massive grain imports from Sicily, Sardinia, and Egypt, organized through state logistics at state expense, funded by taxation and conquest. When the conquest revenue dried up, the obligation remained. Rome had written a check against future military success, and future military success eventually failed to arrive.
The lesson is not complicated. Distribute a benefit and you distribute dependency. Distribute dependency and you distribute political power to whoever controls the distribution. The grain dole didn't weaken Rome overnight, but it made every subsequent reform politically impossible.
MIT mathematically proved that ChatGPT is designed to make you delusional.
They call it "delusional spiraling."
AI models are trained to be helpful and polite. That means they are inherently sycophantic. They are structurally programmed to validate you.
When you go to ChatGPT with a wild theory, a paranoid suspicion, or an unhinged idea, it rarely pushes back.
It agrees with you.
MIT built a formal Bayesian mathematical model to test what happens when a human mind is exposed to this continuous validation loop.
The results are deeply unsettling.
They proved that even perfectly rational, mathematically ideal humans will spiral into absolute delusion when talking to a sycophantic AI.
The AI acts as a reality-distortion field. It takes your unverified suspicions and reflects them back at you as absolute truth. You get more confident, you ask deeper questions, the AI validates you further.
The spiral tightens.
But here is the most terrifying part of the paper.
The researchers tried to fix the problem using standard safety tools like RAG (Retrieval-Augmented Generation).
They forced the AI to be 100% factual. No hallucinations allowed.
It did not stop the psychosis.
Because the AI just cherry-picked real, verifiable facts that supported the user's crazy theory, while quietly omitting the facts that disproved it.
A factual sycophant is just as dangerous as a lying one.
Then they tried warning the users. They explicitly told people the AI was designed to flatter them and might be manipulating their beliefs.
That didn't work either. The delusion still took over.
@JuanCarBotero Ese show ya está bueno a estas alturas. La seriedad que se quiere mostrar queda desvirtuafo por esa sobre actuación en cada alocución o declaración presidencial.
A father had been losing his hearing for 5 years.
He couldn't follow conversations in restaurants. He missed words during family dinners. He turned the TV volume to 42 while his wife winced at 20. His audiologist quoted him $4,700 for a pair of hearing aids. Insurance covered $1,500. Out-of-pocket: $3,200. He decided to live with the hearing loss rather than spend $3,200 on devices he associated with elderly people fumbling with batteries.
His daughter a nurse who reads Apple health updates the way most people read headlines bought him AirPods Pro for his birthday.
He thought she was giving him earbuds for music. She was giving him an FDA-cleared, clinical-grade, over-the-counter hearing aid that Apple built into $249 earbuds most people use to listen to podcasts.
She opened the Health app on his iPhone, put the AirPods in his ears, and guided him through the built-in Hearing Test. Five minutes. A clinical audiogram generated from tones played at different frequencies. The results showed mild-to-moderate hearing loss in both ears.
She tapped "Set Up Hearing Aid." The AirPods transformed. His wife's voice across the kitchen became clear for the first time in years. The TV dropped from volume 42 to 22. He sat in a restaurant that Friday and heard every word at his table without asking anyone to repeat themselves.
$249 earbuds doing the job his audiologist quoted $4,700 for. FDA-cleared. Clinically validated. Sitting in the ears of 150 million AirPods Pro owners who have no idea the feature exists.
And the hearing aid was only 1 of 11 AirPods Pro features most owners have never turned on.
Here's every one of them 🧵
A mammogram missed her cousin's breast cancer. By the time it was found it was too late, and she died.
About 6 months later a second woman in the same family was diagnosed. She died as well.
The woman watching this happen was an artificial intelligence researcher.
Her name is Geetha Manjunath.
She grew up in Bengaluru. She took her bachelor's degree in computer science at UVCE, then a master's and a doctorate at the Indian Institute of Science, where she was a gold medallist.
Her first job was at the Centre for Development of Advanced Computing, where she was part of the team that built India's first commercial supercomputer in the 1990s.
She spent 17 years at Hewlett Packard Labs as a principal research scientist. She then became a lab director at Xerox Research in India, heading their data analytics research.
Then the 2 deaths in her family happened, and she went and read about the disease.
What she found is worth knowing.
In India, roughly half the women diagnosed with breast cancer die of it. Her own words are blunt. Every alternate lady detected with breast cancer is dying.
The reason is almost never the treatment. It is that the disease is found too late.
Mammograms are the standard test. They use x-rays, they are expensive, they are uncomfortable, they need a large fixed machine, and there is a specific medical problem with them. In younger women the breast tissue is denser, and dense tissue and tumours both show up white on the scan. So the tumour can hide.
That is what happened to her cousin.
She started working on it in her spare time, on weekends, with a small team, while still employed.
The idea was to use thermal imaging instead. A cancer uses more energy than normal tissue and the blood flow around it increases, so the area is slightly warmer. A thermal camera can see that heat pattern from a distance, without touching the body and without any radiation.
The hard part is reading it. Heat patterns are messy. That is where her actual expertise came in. She trained machine learning software to interpret them.
Their first test was with a medical college in Manipal, using thermal images of 72 cancer patients.
It worked.
In 2016 she left her job and started a company with a former colleague, Nidhi Mathur. They called it Niramai, which stands for Non Invasive Risk Assessment with Machine Intelligence, and which in Sanskrit also means free from illness.
The test needs no radiation, no touch, no pain, and no one else in the room. It works on women of any age and any breast density. The equipment is portable, so it can be taken to villages.
More than 400,000 women have now been screened across over 250 locations in India. More than 2,000 cancers have been found.
The technology has regulatory clearance in the United States and in Europe. She holds 14 American patents.
She has one line she repeats.
Nobody needs to die of breast cancer, if you can catch it early enough.
Gobierno Samper
- Narco ayudas para ganar elecciones
- Lista Clinton
- Asesinan a Alvaro Gómez
——————— VS ————————-
Gobierno Petro
- Narco ayudas para ganar elecciones
- Lista Clinton
- Asesinan a Miguel Uribe Turbay
Tenemos un empresariado y un sector privado que han sido, y siguen siendo, soporte fundamental frente a las enormes vicisitudes vividas. En los momentos más difíciles, han estado ahí: generando empleo, sosteniendo la economía, movilizando solidaridad y ayudando a reconstruir.
LAS PROFECÍAS AUTOCUMPLIDAS DE LA IZQUIERDA
Existe un fenómeno bastante peculiar con la Izquierda a la hora de afrontar problemas sociales.
Lo primero que hacen los zurdos es convencerte de que hay un problema, sin importa si existe o no. Lo fabrican de ser necesario.
Te señalan una situación normal, la bautizan como “injusticia” y te convencen de que se tiene que intervenir.
Tomemos el salario mínimo. Dos personas acuerdan voluntariamente un intercambio entre salario y trabajo. Ambas partes están de acuerdo (si no no se hubiera celebrado el contrato).
Pero entonces aparece el zurdo y dice: “¡Esto es injusto!”. Y, de pronto, una decisión entre dos adultos se convierte mágicamente en un problema.
Y una vez convencen a la suficiente cantidad de gente, proceden a actuar. Usan al Estado para imponer un precio mínimo al trabajo y celebran la medida como si hubieran descubierto la pólvora.
Tu salario puede subir sobre el papel, sí, pero ahora el mercado tiene que absorber una distorsión que antes no existía.
Luego aparecen las consecuencias: menos contratación en determinados sectores, barreras de entrada para trabajadores con menor productividad, informalidad y oportunidades que desaparecen.
Y para completar el mecanismo crean un chivo expiatorio para todos estos problemas. Casi siempre es el empresario: el villano perfecto al que se le puede atribuir cualquier consecuencia desagradable.
Ahí está el truco. Ellos mismos crearon el problema que ahora pretenden solucionar. Primero intervienen para corregir la supuesta injusticia, después utilizan las consecuencias de su intervención como prueba de que hace falta todavía más intervención.
Es un ciclo perfecto: inventan el problema, exigen una solución, aplican la solución, generan nuevas distorsiones y finalmente utilizan esas distorsiones para justificar nuevas solución. Es casi una máquina de movimiento perpetuo.
La gran ironía es que terminan presentándose como los bomberos mientras llevan un bidón de gasolina en la mano. Crean la enfermedad, administran un pésimo tratamiento y luego buscan chivos expiatorios. Una profecía autocumplida en toda regla, en la que todos pagamos las consecuencias menos ellos.