Juan Pablo Del Alcázar Ponce ✪

Are we getting smarter with AI — or just faster? Wharton professors dig into the science of how AI is quietly reshaping the way we think, learn, and communicate. The biggest risk? Passive use. Read the full insight here: ai.wharton.upenn.edu/updates/are-we… #PennAIMonth #WhartonAI

Every AI discussion ultimately rests on two questions: how good can AI get? And how fast? They are predictions about the s-curve shape. Everything else (job impact, potential risks, etc.) is downstream of those questions. I think it would be useful to focus on them more often.

#Opinión | @jpdelal plantea que el deterioro económico y social de los hombres menores de 30 años es un riesgo sistémico ignorado por las empresas y gobiernos. Lee más aquí: acortar.link/dnWmqA #ForbesEcuador

🚨RESEARCHERS JUST MATHEMATICALLY PROVED THAT AI LAYOFFS WILL DESTROY THE ECONOMY.. AND EVERY CEO ALREADY KNOWS IT.. BUT NONE OF THEM CAN STOP.. Two researchers from UPenn and Boston University just published a paper called "The AI Layoff Trap".. They proved something terrifying.. Every company replacing workers with AI is also firing its own customers.. Every laid-off employee is someone who used to spend money.. When enough people lose their jobs.. Nobody can afford to buy anything.. And the companies that fired everyone go bankrupt selling products to an economy with no purchasing power.. Every CEO can see this coming.. The math is obvious.. Fire workers.. Lose customers.. Lose revenue.. Collapse.. But here's the trap.. No company can afford to stop.. If you don't automate.. Your competitor will.. They cut costs.. Undercut your prices.. Steal your market share.. And you die anyway.. So every company automates.. Knowing it's collectively suicidal.. Because the alternative is dying alone while everyone else survives.. It's a Prisoner's Dilemma.. And the researchers proved it mathematically.. The numbers are already stacking up.. Block cut nearly half its 10,000 employees this year.. CEO Jack Dorsey said AI made those roles unnecessary and that "within the next year, the majority of companies will reach the same conclusion".. Salesforce replaced 4,000 customer support agents with AI.. Goldman Sachs deployed an AI coder that lets one senior engineer do the work of a five-person team.. Over 100,000 tech workers were laid off in 2025 alone.. AI was cited as the primary driver in more than half the cases.. 80% of US workers hold jobs with tasks susceptible to AI automation.. And here's what should scare policymakers.. The researchers tested every proposed solution.. Universal Basic Income.. Doesn't fix it.. It raises living standards but doesn't change a single company's incentive to automate.. Capital income taxes.. Don't fix it.. They change profit levels but not the per-task decision to replace a human.. Worker equity and profit sharing.. Narrows the gap but can't close it.. Collective bargaining.. Can't fix it.. Because automating is a dominant strategy.. No voluntary agreement between companies is self-enforcing.. Only one thing works.. A Pigouvian automation tax.. A per-task charge that forces every company to pay for the demand it destroys when it fires a worker.. The researchers call it a "Red Queen effect".. Better AI doesn't solve the problem.. It makes it worse.. Because every company sees a bigger market share gain from automating faster than rivals.. But at the end.. Everyone automates equally.. The gains cancel out.. And the only thing left is more destroyed demand.. The paper's conclusion is devastating.. This isn't a transfer from workers to company owners.. Both sides lose.. Workers lose their income.. Companies lose their customers.. It's a deadweight loss that harms everyone.. And no market force can break the cycle.. The AI layoff trap isn't a prediction.. It's already happening.. And the math says it won't stop on its own.

🚨Breaking: The man who wrote the bible of computer science just published a paper called "Claude's Cycles." It opens with two words: "Shock! Shock!" An AI just solved a math problem that stumped him for weeks. In 1 hour. Let me explain: Donald Knuth is 88 years old. Turing Award winner. Stanford professor. He's been writing "The Art of Computer Programming" for 60+ years -- the most respected book in all of computer science. He was working on a problem about Hamiltonian cycles in directed graphs for a future volume of the book. Weeks of work. No general solution. His friend Filip Stappers fed the exact problem to Claude Opus 4.6. 31 systematic explorations. Brute force. Pattern recognition. Dead ends. Strategy shifts. 1 hour later -- a working construction. Stappers tested it for every odd number up to 101. It worked every single time. Knuth then wrote the rigorous mathematical proof himself. The AI found the answer. The human proved it was right. Knuth discovered 760 valid solutions exist. Claude found one. He checked the others and said none were "actually nicer." His exact words: "I'll have to revise my opinions about generative AI one of these days." The godfather of algorithms just tipped his hat to an AI. And named his paper after it.

El colapso demográfico masculino: Un riesgo sistémico para el consumo y la estabilidad en la región forbes.com.ec/columnistas/el…

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Effie Plata Data Driven Media Nestlé Ecuador Encender la inspiración por medio de DATA DRIVEN Agencia: Publicis Groupe Ecuador - UM Ecuador

Gemini Tip: If you connect a Google Doc to a Gem, it will reference the most current version of the Doc. You don’t have to update the Gem when your file changes. Just update the Doc, and the Gem automatically knows the new rules.

¿Por qué falla la IA en las empresas? El rol crítico de la gobernanza de datos - Mentinno Insights buff.ly/RiJF6xr

Today we’re bringing @Gmail into the Gemini era, making it a personal, proactive inbox assistant to help you manage your life, not just your messages. Explore the new features launching today, many of which are made possible by Gemini 3 🧵⬇️

Universities have long been considered pillars of knowledge, innovation, and societal progress. However, recently, higher education institutions worldwide have encountered significant challenges that threaten the quality of the education they provide. These issues range from financial constraints, faculty dedication to teaching, and outdated curricula to the growing emphasis on commercialization and a mental health crisis among students. In this article, I examine the top ten most pressing quality issues facing universities today. You can read the full article at miguelescotet.com/2025/ten-chall…

"El ser humano es el gran peligro, y lamentablemente no somos conscientes de ello". • CARL GUSTAV JUNG • “The human being is the great danger, and we are pitifully unaware of it.”

The bad news for marketers: your predictable channels are going away. The good news: AI will help you get closer to where your buyers are. We’ll show you how on January 29 at the AI Marketing Strategy Summit: sectionai.com/ai/the-ai-mark…

¡Tus insights de la edición 97 de Mentinno IA ya están aquí! En esta edición: 🌐 Google Gemini 3 🎭 Conversaciones después de la muerte 📚 Aprende Python con IA personalizada 👉 blog.formaciongerencial.com/edicion-97-tut…

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El teatro académico se quiebra. Lee el artículo de opinión de Eduarda Andrade aquí: blog.formaciongerencial.com/el-teatro-acad…

UN LUGAR DIFERENTE. LA EDUCACIÓN COMO BALUARTE DE FUTURO. Les comparto mi último artículo. Fomentar y desarrollar la educación socializadora a lo largo de todas las etapas de la vida es, sin lugar a duda, la manera más efectiva de encontrar respuestas a los desafíos que nuestra sociedad nos plantea. Vivimos, ciertamente, una coyuntura exigente, retadora, definida por la velocidad, el alcance y el impacto en los sistemas. Es este un cambio de paradigma marcado por la convergencia de tecnologías digitales, físicas y biológicas, un hecho que anticipa que el mundo, tal como hoy lo conocemos y concebimos, cambiará sustancialmente, modificando también las formas de pensamiento y los valores. Lea el artículo en su integridad en: miguelescotet.com/2025/un-lugar-…

“Universidades pequeñas, calidad grande: una crítica al Real Decreto 905/2025”. En un Estado de Derecho, ninguna política pública puede sostenerse sobre la arbitrariedad ni sobre la negación de la pluralidad territorial. Magnífico artículo que les comparto del doctor González y Santiago, con el que estoy de acuerdo, y que pone en tela de juicio la pretendida medición de la calidad universitaria por razones de volumen y cantidad, tal como intenta imponer el reciente real decreto del gobierno español, una medida inédita en el mundo universitario, que no está basada, por supuesto, en estudios empíricos, sino en “opinionática” de bajo cuño. Con este real decreto, por ejemplo, CALTECH (California Institute of Tecnology) con más de 130 años de historia, 46 premios Nobel y 2.397 estudiantes (987 estudiantes de grado y 1.410 de postgrado) tendría que cerrar si estuviese en España o masificarla a expensas de bajar su calidad, obligándola a crecer a 4.500 estudiantes como establece el decreto en cuestión. Ojalá se den cuenta que rectificar es de sabios… Existen otros parámetros de calidad que deberían aplicarse a las universidades públicas y privadas como garantía para la sociedad y no meros indicadores cuantitativos que harán que las universidades privadas busquen números, aumenten sus ingresos, masifiquen sus enseñanzas (para ellas quizá muy bueno si están creadas con fines de lucro) y no el rigor de los indicadores a los que precisamente deben estar dirigidos, entre otros, a reducir el ratio profesor estudiante y exigir a ambos dedicación, pasión y formación permanente… y productividad científica y académica. Lamentable poner el número mágico de 4.500 estudiantes como indicador de calidad para ser universidad es un exabrupto metodológico inédito en cualquier parte del mundo, y que además, discrimina a las autonomías periféricas demográficamente pequeñas y favorece a Madrid y a los grandes núcleos de población. Cuando en el Mayo francés luchábamos todos los jóvenes en contra de la masificación universitaria, por la reducción del ratio profesor-estudiante y la personalización del aprendizaje, ahora nos movemos hacia atrás, como el cangrejo, en el laberinto de los ciegos, en la prehistoria del conocimiento. Triste y lamentable futuro, especialmente para el desarrollo de una sociedad con justicia social plena, equidad y educacion de calidad, no de cantidad. Educacion para todos, por supuesto, pero de calidad. Lea el artículo del profesor y doctor en medicina, Martín González y Santiago: canarias7.es/opinion/firmas…

Example of one interesting direction in education.