AR

Choose your battles, but don't choose very many.... K-State Alumni💜

[Dua Lipa Guaraní @Dua_aborigen]

El outfit de los que van a la oficina el jueves

[Bandi @Bandiee]

No quiero hacer nada solo pienso en la Albirroja

[Latinometrics @LatamData]

PARAGUAY | Paraguay projects its largest soybean harvest on record, with output hitting 12.5M tons.

(El País)

[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.

[Juan Doe @jdoedoe101101]

Cuba totalmente a oscuras. Solamente tienen luz los edificios de gobierno y los hoteles de lujo que administra la familia Castro.

Tanto se habla de late stage capitalismo. Acá, señoras y señores, tienen late stage communism.

[Borrachos V.I.P @BorrachosVIP]

Preocupados por el h4ntavirus y la esponja de la cocina la tienen así:…

[Robert... @RoberClark]

Chaaaa le metió español, inglés, francés y guaraní todo junto. Capísima

[AR @achiramirez]

@hashvl Chingu

[AR @achiramirez]

@pabloclu Hay algún comunicado oficial?

[AR @achiramirez]

100%

[Brenda 🫀🧭 @90sfavs]

Dios mío quién es la que las entrevista? Necesito mandarle un regalo de agradecimiento porque ES TAL CUAL LO QUE LOS FANS SENTIMOS. Y la cara de meryl? La emocionó escucharlo.

[Alex @alxsantillan]

Yo a las 4 de la madrugada en la peda poniendo canciones en YouTube que nadie conoce

[beck @cardgani]

justin bieber en media presentación de coachella buscando su musica en yt para poder cantarla

[Daniel Ibarra Andrade @d_ibarra]

Hay gente allá afuera orbitando LA LUNA y uno todavía mandando correos sin adjuntar el adjunto que dijo que adjuntaba.

[IVAN MERCADO @IvanMercadoNews]

Para comprenderlo mejor:

Es como si la tierra fuera un balón de basquetbol 🏀 y la luna una pelota de tenis 🎾 colocada a 7 metros de distancia.

Espectacular.

[Jordan @Jordann_tres]

@ElTrumpista Va a hacer real este video

[Álvaro J @jota_snchez]

Las personas que se mudaron al extranjero solas a los 20 años se encargaron de todos los trámites, cuentas bancarias, visados, impuestos, empleos, alojamiento y diferencias culturales.

Esta gente ya no le teme a nada.

[Señoriza de mal @Seoriza17]

Yo: HOY SI duermo temprano, 0 pantallas
Tuiter: propo fini

[santi @santtiagom_]

Oracle anunció el despido de miles de empleados, entre 20k y 30k.

¿Por qué?

Porque está cambiando en qué invierte.

La IA no es solo software.
Requiere data centers, GPUs y energía.

Todo eso cuesta miles de millones.

Para financiarlo, recortan en otras áreas.

Además, algunos roles pierden peso:
la IA permite hacer más con menos personas.

Lo que veo es que apuntan a un cambio de estructura: menos inversión en operación y más inversión en infraestructura de IA.

[Dilo con perritos @DiloConPerritos]

Qué persona en su sano juicio le pregunta a un perro dónde estaba cuando por fin aparece después de un rato que lo llamas.