Sebastián González

Systems engineering. Usually web developer but game designer on the inside. Working for my dreams.

[Papa León XIV @Pontifex_es]

La #IA puede ser una valiosa ayuda y, al mismo tiempo, exige un enfoque prudente y cauteloso. La velocidad y la sencillez con la que es posible obtener formas de asistencia concreta simplifican nuestras vidas, pero también pueden acostumbrarnos a delegar demasiado y a buscar respuestas rápidas, debilitando el juicio personal y la creatividad. #MagnificaHumanitas

[Pokémon @Pokemon]

Hana dreams of becoming an ace mail carrier like her hero, Dragonite 🧡 When she finds a letter with no address, she sets off to locate the mystery sender! ✉️

🔗 Watch “Pokémon: Dragonite and the Special Delivery” on YouTube: https://t.co/s9TdVFoq8c

[El Diaz @SoyDaniloDiaz]

¿Por qué ahora todos llaman por WhatsApp? ¿Qué pasó con las llamadas normales?.

[Sebastián González @sebasgd]

@seaofstarsgame @DarkX7589 cuando lo jugarás?

[Sea of Stars @seaofstarsgame]

✨ GIVEAWAY 🎮

To celebrate the mobile release of Sea of Stars, we’re giving away five Backbone Pro controllers!

1. Follow @seaofstarsgame
2. Like & share this post
3. Tag a mobile gamer you’d recommend the game to!

[LINKIN PARK @linkinpark]

Happy Birthday Chester ❤️

[Micha @ElMichalito]

Estudió tanto que se murió

[Pokémon @Pokemon]

Happy Pokémon Day! 🎉⚡

Tune in to #PokemonPresents at 6:00 a.m. PST, and join us as we celebrate 30 years of Pokémon.

📺 https://t.co/02qGHzYOhO

[Pokémon @Pokemon]

Wake up, Furret—it's nearly time... 🥳

1️⃣ day until #PokemonDay!

[Pokémon @Pokemon]

So adorable, it’ll make your head turn! Drop a ❤️ to wish Rowlet a good day.

6️⃣ days until #PokemonDay!

[Pokémon @Pokemon]

What’s Your Favorite? 💛

Lady Gaga, Trevor Noah, Jisoo, Charles Leclerc, Lamine Yamal, Maitreyi Ramakrishnan, and Young Miko share their favorite Pokémon to kick off #Pokemon30!

Join the celebration: https://t.co/YRWJlOl1bF

[Pokémon @Pokemon]

A special occasion! 🧬 🎉

[•꙳☆⋆ 𝐆𝐚𝐭𝐨 𝐍𝐞𝐠𝐫𝐨 ⋆☆꙳• @heyyitsbubbles]

Odio el día en que le empezaron a decir capibara al chiguiro en Colombia

[Sea of Stars @seaofstarsgame]

Sea of Stars is coming to mobile on April 7th!

One low price, no ads, and no microtransactions.

We look forward to our little adventure meeting new players everywhere! A huge thanks to @Playdigious for this adaptation.

Pre-orders are now open at a 10% discount!

AppStore: https://t.co/Q0h5Icp7ZO
Google Play: https://t.co/lENSEF2OBN

[Eduardo Menoni @eduardomenoni]

Así ASESINÓ la narcotiranía de Nicolás Maduro a Neomar Lander en 2017, joven de 17 años. Su frase “La lucha de pocos vale por el futuro de muchos” hace parte de la historia de Venezuela. Por esto no hay que tener piedad con Maduro y su combo.

¡Neomar tu muerte no fue en vano 🇻🇪!

[Alex Prompter @alex_prompter]

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.

[The Game Awards @thegameawards]

Here's a look at the Most Nominated Games at #TheGameAwards

Clair Obscur: Expedition 33 is the most nominated game in TGA history with 12 nominations.

[Konstantin Kisin @KonstantinKisin]

If you want to have your mind blown, this character was written as someone for the viewer to hate.

Yet literally everything she predicts has come to pass.

[Felipe Arias Escobar @Feloarias]

Aunque con el Vive Claro también sirven las acepciones coso, corraleja rola, caseta estrato 5 o gallera gomela.

[Pokémon TCG @PokemonTCG]

Mega Evolution Pokémon ex are ready to collide! 🧬💥

The Pokémon TCG: Mega Evolution expansion is available starting today.