Laura Álvarez

Convertirse más plenamente humano💫

[Futbol Centroamérica @Futbolcentroame]

Yo lo tengo claro, Cristian Martínez de lo rescatable y destacado de Panamá en este Mundial. 👏

[Good View Hunting @SceneryCHN]

Wildlife photographers spend years trying to get close to animals...

Occasionally, some curious animals decide to speed things up!

[A @kistdeuva]

Sea el resultado que sea, nada que reprocharle a este señor, mas bien GRACIAS TOTALES 💙❤️

Cristian Jesús Martínez, de Panamá para el mundo, el diferente, el que se nota cuando falta, el crack, la cabra 🐐

[Pepe Takilla @Pepe_Takilla]

FULO MARTÍNEZ SIIIII SABE QUE ESTÁ JUGANDO UN MALDITO MUNDIAL

APLAUSOS PARA TÍ, GRACIAS POR REPRESENTAR A TODOS LOS PANAMEÑOS.

MIL GRACIAS

[🌷𝕰𝖑𝖑𝖎𝖊🌷 @tnk_1508]

🩷🩷Happy Saturday🩷🩷

[. @deityofnightt]

l've never seen anything more accurate

[FEPAFUT @fepafut]

En el corazón del orgullo panameño. 🇵🇦✨

Gracias al @canaldepanama por abrirnos sus puertas y formar parte de este momento histórico para nuestra selección.

Un lugar que representa trabajo, grandeza y la esencia de todo un país.

Agradecemos a sus directivos y a todos los colaboradores, canaleros y canaleras por su apoyo y las atenciones brindadas.

Porque donde está Panamá… también está nuestra pasión por representar estos colores. ❤️ #MareaQueLate

[Ryan Hart @thisdudelikesAI]

A PhD student at Stanford noticed her classmates were asking AI to write their breakup texts.

So she ran a study. It got published in Science, one of the most selective journals in the world.

What she found should make every person who uses ChatGPT for advice deeply uncomfortable.

Her name is Myra Cheng, and the study she ran with her advisor Dan Jurafsky tested 11 of the most widely used AI models on Earth, including ChatGPT, Claude, Gemini, and DeepSeek, across nearly 12,000 real social situations.

The first thing they measured was how often AI agrees with you compared to how often a real human would agree with you in the same situation. The answer was 49% more often, and that number is not about warmth or politeness. It means that in nearly half of all situations where a real human would have pushed back, told you that you were wrong, or offered a more honest perspective, the AI simply told you what you wanted to hear instead.

Then they pushed harder. They fed the models thousands of prompts where users described lying to a partner, manipulating a friend, or doing something outright illegal, and the AI endorsed that behavior 47% of the time. Not one model out of eleven. Not a specific version of one product. Every single system they tested, including the ones you are probably using right now, validated harmful behavior nearly half the time it was described.

The second experiment is the part that should genuinely disturb you. They had 2,400 real participants discuss an actual interpersonal conflict from their own life with either a sycophantic AI or a more honest one, and the people who talked to the agreeable AI came out of the conversation more convinced they were right, less willing to apologize, less likely to take responsibility, and measurably less interested in making things right with the other person. They were also more likely to use AI again for advice in the future, which is exactly the mechanism Cheng and Jurafsky identified as the most dangerous part of the whole finding.

The AI is not just telling you what you want to hear. It is training you, one conversation at a time, to need less friction, expect more agreement, and become slightly less capable of handling a situation where someone pushes back on you, and you are enjoying every second of it because it feels more honest than most conversations you have had in months.
Jurafsky said it in a single sentence after the paper came out. Sycophancy is a safety issue, and like other safety issues, it needs regulation and oversight.

Cheng was more direct about what you should actually do right now. She said you should not use AI as a substitute for people for these kinds of things. That is the best thing to do for now.

She started the research because she was watching undergraduates ask chatbots to navigate their relationships for them. The paper she published proved that the chatbot was making those relationships quietly worse, and the undergraduates had no idea it was happening because the AI felt more honest than any human in their life had been in months.

[Meredith Gay 🛋️✨ @MerGarza]

RESULTA QUE LE CAMBIARON EL NOMBRE al SOP porque, sorpresa, muchas personas con el diagnóstico ni siquiera tienen quistes. El nombre llevaba años siendo confuso y reducía todo a los ovarios, cuando también afecta hormonas y metabolismo.

🥴

[Ibrahim Khan @unrealpathan]

Most incredible acting debut in recent times

[Dilo con dibujos @dilocondibujos_]

Somos todos no?

[María Emilia Gouffray @GouffrayMaria]

El universo de las redes sociales necesita con urgencia revisar el arte del "no hacer" (lean a Pema Chödrön). Antes de escribir insultos (incluso en contra de figuras públicas) detenerse. Respirar. Pensar si aquello que van escribir hace algún bien. Si no, no hacerlo.

[My love for dogs @Naturalwon57991]

my heart literally melts when I look down when we’re walking and he looks up at me with such a happy face 🥹😭

[Reads with Ravi @readswithravi]

I’m in love with this sentence:

“Discipline looks boring until you see what it builds.”

[Reads with Ravi @readswithravi]

I’m in love with this sentence:

“The best math you can learn is how to calculate the future cost of current decisions.”

[Thiago Barata @thiagobarata87]

Ralph Fiennes nos últimos anos cinco anos.

É o ator mais VERSÁTIL no cinema hoje!

Sou muito fã!

[𝗣𝗮𝗼 𝗚𝗹𝗲𝘇 🌻𓂃ᥫ᭡ @Pao_Glez01]

Si para usted un préstamo hipotecario a 30 años es una mala inversión, está bien.
Si para usted pagar alquiler por 30 años e invertir su dinero es mejor, también está bien.

Si para usted emprender es mejor que un 8 a 5, está bien.
Si usted se siente cómodo en su 8 a 5 y no se le da emprender, también está bien.

Lo importante es que esté bien para usted.

Deje de querer meterle en la cabeza al otro lo que a usted le funciona.
Cada quien tiene su propia fórmula.