🚨💰 España levantó la Copa del Mundo… pero el gran ganador fue la FIFA.
🏆🇪🇸 España recibió 50 millones de dólares como campeón.
🥈🇦🇷 Argentina se llevó 33 millones como subcampeón.
En total, la FIFA repartió 871 millones de dólares en premios entre las 42 selecciones:
• Fase de grupos: 9 M
• Ronda siguiente: 11 M
• Octavos: 15 M
• Cuartos: 19 M
• 4.º lugar: 27 M
• 3.º lugar: 29 M
• Subcampeón: 33 M
• Campeón: 50 M
Además, destinó 216 millones para cubrir preparación, delegaciones y logística.
📊 Pero las cifras más impactantes son estas:
📺 Derechos de TV: 4.000 M
🎟️ Entradas: 3.000 M
🤝 Patrocinios: 2.000 M
💵 Ingresos totales: 9.000 millones de dólares.
💸 Costos estimados: 3.800 millones.
España ganó el Mundial… pero quien hizo el mejor negocio fue la FIFA.
El astrofísico Neil deGrasse Tyson lo resume con datos que no admiten mucha discusión:
En la época de las cavernas, un ser humano vivía en promedio 30 años. Para 1840, la esperanza de vida apenas había subido a 35. Y eso que todo era “orgánico”: aire puro, agua sin procesar y animales de libre pastoreo.
Aun así, la gente moría joven.
Lo que realmente disparó la expectativa de vida no fue la “vida natural”, sino la ciencia: vacunas, antibióticos, saneamiento, tecnología médica y conocimiento acumulado.
Por eso las expectativas razonables deben alinearse con lo que muestra la evidencia científica.
Y si algo enseña la historia es esto: cada vez que confiamos en la evidencia, avanzamos; cada vez que la ignoramos, retrocedemos.
Today, we are proud to officially launch El Salvador Pacamara Week 2026 in Japan. 🇸🇻☕🇯🇵
This special initiative brings together coffee lovers and specialty coffee shops across the country to celebrate one of El Salvador’s most iconic and distinctive coffee varieties: Pacamara, known for its exceptional complexity, vibrant notes, and unique character.
We warmly invite you to visit your local specialty coffee shops and experience Pacamara through the hands of Japan’s talented baristas and roasters. Each cup represents not only quality and craftsmanship, but also the dedication of Salvadoran producers who continue to cultivate excellence.
Let this week be an opportunity to explore, connect, and enjoy the rich story behind every cup.
We look forward to seeing you across Japan.
This paper from Harvard and MIT quietly answers the most important AI question nobody benchmarks properly:
Can LLMs actually discover science, or are they just good at talking about it?
The paper is called “Evaluating Large Language Models in Scientific Discovery”, and instead of asking models trivia questions, it tests something much harder:
Can models form hypotheses, design experiments, interpret results, and update beliefs like real scientists?
Here’s what the authors did differently 👇
• They evaluate LLMs across the full discovery loop hypothesis → experiment → observation → revision
• Tasks span biology, chemistry, and physics, not toy puzzles
• Models must work with incomplete data, noisy results, and false leads
• Success is measured by scientific progress, not fluency or confidence
What they found is sobering.
LLMs are decent at suggesting hypotheses, but brittle at everything that follows.
✓ They overfit to surface patterns
✓ They struggle to abandon bad hypotheses even when evidence contradicts them
✓ They confuse correlation for causation
✓ They hallucinate explanations when experiments fail
✓ They optimize for plausibility, not truth
Most striking result:
`High benchmark scores do not correlate with scientific discovery ability.`
Some top models that dominate standard reasoning tests completely fail when forced to run iterative experiments and update theories.
Why this matters:
Real science is not one-shot reasoning.
It’s feedback, failure, revision, and restraint.
LLMs today:
• Talk like scientists
• Write like scientists
• But don’t think like scientists yet
The paper’s core takeaway:
Scientific intelligence is not language intelligence.
It requires memory, hypothesis tracking, causal reasoning, and the ability to say “I was wrong.”
Until models can reliably do that, claims about “AI scientists” are mostly premature.
This paper doesn’t hype AI. It defines the gap we still need to close.
And that’s exactly why it’s important.
GUA 0-1 SLV (FT) - El Bolillo Gómez lo ha vuelto a hacer. Pocos seleccionadores manejan las Eliminatorias tan bien como él. Victoria CAPITAL de El Salvador, gracias a un gol de Harold Osorio, rematando un córner botado por Nathan Ordaz.
Primera victoria de @LaSelecta_SLV visitando a una selección centroamericana desde el 0-2 contra Honduras en las Eliminatorias para Catar 2022.
On Tuesday, an 8.8 magnitude #earthquake struck off the coast of Russia, triggering multiple #tsunami alerts along the U.S. west coast. Learn how @NOAA scientists monitor, detect, and research tsunamis: https://t.co/KtnlXygUYG
@NWS @noaapmel @noaaocean
Congratulations to El Salvador’s forward-thinking Ministry of Education. You are helping your students get on the right side of change. ARK Educate is happy to help!
🚸 Between May 10–16, @EducacionSV and ARK Educate visited 10 schools to support 36 student-led Innovation Exposition projects in grades 1, 4, and 7! 🌱💡
These school visits offered valuable opportunities to engage with students, monitor their progress, and strengthen innovative learning experiences.
From designing water filters to creating AI-powered tools, students are taking bold steps toward building a better future—supported every step of the way by their teachers, families, and mentors. 🧑🏫✨
The Innovation Skills Development Pilot Project is redefining education for over 2,000 students and 100 teachers, nurturing creativity, collaboration, and real-world problem solving. 🚀📘
#EducationInnovation #ElSalvador #ARKEducate #STEM #AI #YouthEmpowerment
4.5 makes assumptions - definitely something humans do. but i don’t think it’s something i want my ai to do. here it is compared to 4o with nothing but an image upload.
The public has a distorted view of science, because children are taught in school that science is a collection of firmly established truths. In fact, science is not a collection of truths. It is a continuing exploration of mysteries.
- Freeman Dyson
There must be no barriers to freedom of inquiry. There is no place for dogma in science. The scientist is free, and must be free to ask any question, to doubt any assertion, to seek for any evidence, to correct any errors. Our political life is also predicated on openness. We know that the only way to avoid error is to detect it and that the only way to detect it is to be free to inquire. And we know that as long as men are free to ask what they must, free to say what they think, free to think what they will, freedom can never be lost, and science can never regress.
-- Robert Oppenheimer, as mentioned in 'J. Robert Oppenheimer' by L. Barnett, in Life
📷LIFE mag