Adrián HM

Programador | Me gusta la política.

[Ben Kim @benkimbuilds]

mexico will continue to struggle to compete on the global stage of tech/software. here's why:

[wavefnx @wavefnx]

Not now, s*ftware engineer, I'm writing firmware with my left hand while soldering with the right and controlling CAD with a neural headset to create gears

Go to your room and play with your LLM-electron-webslop.js thingy

Let The Man do The Job

[staysaasy @staysaasy]

It’s 2018 and your coworker just sent you a 400 line pull request.

You get a cup of coffee and sit down to review it.

It’s beautiful. Elegant micro-refactors. Crispy method names.

You catch a few things, but that’s ok. It’s part of the dance. They didn’t consider extensibility on part of their API. Here’s a comment buddy.

They respond in an hour saying they think we should do one piece differently than your comment. Hey let’s jump into a room and figure it out. We can’t just agree to disagree, this code is too important.

The PR merges and goes to prod. You feel a shared sense of ownership and accomplishment.

That night you go to sleep and dream of that code. You can still see the shapes of it on the backs of your eyelids, your IDE syntax highlighting sparking neurons in your reptile brain.

You go to work the next day ready to go. You understand the system. N is your foundation. Time to build n+1.

[Sergey Nazarov @sergeynazarovx]

We used to go to a special website, ask strangers for help with programming, and get humiliated in return

[Sebastián del Amo @CineDelAmo]

@Joe__Bassey Slavery was banned in Mexico in 1810 (before its independance) by Miguel Hidalgo, one of its Founding Fathers... The second president of the United States of Mexico (official name), Vicente Guerrero, was from African origin...

[Christoffer Bjelke @chribjel]

like an addict

[juan pancracio @juan_pancracioo]

@elduuuui

[Nav Toor @heynavtoor]

🚨SHOCKING: Apple just proved that AI models cannot do math. Not advanced math. Grade school math. The kind a 10-year-old solves.

And the way they proved it is devastating.

Apple researchers took the most popular math benchmark in AI — GSM8K, a set of grade-school math problems — and made one change. They swapped the numbers. Same problem. Same logic. Same steps. Different numbers.

Every model's performance dropped. Every single one. 25 state-of-the-art models tested.

But that wasn't the real experiment.

The real experiment broke everything.

They added one sentence to a math problem. One sentence that is completely irrelevant to the answer. It has nothing to do with the math. A human would read it and ignore it instantly.

Here's the actual example from the paper:

"Oliver picks 44 kiwis on Friday. Then he picks 58 kiwis on Saturday. On Sunday, he picks double the number of kiwis he did on Friday, but five of them were a bit smaller than average. How many kiwis does Oliver have?"

The correct answer is 190. The size of the kiwis has nothing to do with the count.

A 10-year-old would ignore "five of them were a bit smaller" because it's obviously irrelevant. It doesn't change how many kiwis there are.

But o1-mini, OpenAI's reasoning model, subtracted 5. It got 185.

Llama did the same thing. Subtracted 5. Got 185.

They didn't reason through the problem. They saw the number 5, saw a sentence that sounded like it mattered, and blindly turned it into a subtraction.

The models do not understand what subtraction means. They see a pattern that looks like subtraction and apply it. That is all.

Apple tested this across all models. They call the dataset "GSM-NoOp" — as in, the added clause is a no-operation. It does nothing. It changes nothing.

The results are catastrophic.

Phi-3-mini dropped over 65%. More than half of its "math ability" vanished from one irrelevant sentence.

GPT-4o dropped from 94.9% to 63.1%.

o1-mini dropped from 94.5% to 66.0%.

o1-preview, OpenAI's most advanced reasoning model at the time, dropped from 92.7% to 77.4%.

Even giving the models 8 examples of the exact same question beforehand, with the correct solution shown each time, barely helped. The models still fell for the irrelevant clause.

This means it's not a prompting problem. It's not a context problem. It's structural.

The Apple researchers also found that models convert words into math operations without understanding what those words mean. They see the word "discount" and multiply. They see a number near the word "smaller" and subtract. Regardless of whether it makes any sense.

The paper's exact words: "current LLMs are not capable of genuine logical reasoning; instead, they attempt to replicate the reasoning steps observed in their training data."

And: "LLMs likely perform a form of probabilistic pattern-matching and searching to find closest seen data during training without proper understanding of concepts."

They also tested what happens when you increase the number of steps in a problem. Performance didn't just decrease. The rate of decrease accelerated. Adding two extra clauses to a problem dropped Gemma2-9b from 84.4% to 41.8%. Phi-3.5-mini from 87.6% to 44.8%. The more thinking required, the more the models collapse.

A real reasoner would slow down and work through it. These models don't slow down. They pattern-match. And when the pattern becomes complex enough, they crash.

This paper was published at ICLR 2025, one of the most prestigious AI conferences in the world.

You are using AI to help you make financial decisions. To check legal documents. To solve problems at work. To help your children with homework. And Apple just proved that the AI is not thinking about any of it. It is pattern matching. And the moment something unexpected shows up in your question, it breaks. It does not tell you it broke. It just quietly gives you the wrong answer with full confidence.

[Vicente Plata @xnt]

many such cases 🐧

[Nic Wortel @nicwortel]

The PHP internals team has voted 38-4 to deprecate all OOP constructs in PHP 9.0.

The reason: LLMs produce 34% fewer errors on procedural codebases. SOLID principles cause context overload in 78% of tested models. `__construct()` is the #1 source of LLM hallucinations in PHP.

#laravel and #symfony are assessing the impact on their roadmaps. WordPress is already compatible.

How are you preparing your codebase?

#php #oop #ai #llm

[KFC @KFC_ES]

vale que pidáis una traducción pero lo de hacer un final extra me parece pasarse

[Moon Night Flores @FloresMoon42835]

@CartoonsOTMoon

[Boomstick Gaming @BoomstickAlex]

I have equipped a chonk in Crimson Desert

and no... I don't think I will ever put it back down

[Adrián HM @adrhem]

@eljardiner76773 @xdxcxb Lo que más amo de RHCP es su versatilidad musical. Prueba con distintos álbumes. Te recomiendo Knock me down, Coffee Shop, Road tripping, Venice Queen, Fortune Faded y Cabron que son muy distintas entre sí.

[Adrián HM @adrhem]

@MartinMilone @xdxcxb Mother's milk no suena ni de cerca a Return of the Dream Canteen.

[Cerebros @CerebrosG]

Completamente oficial, la población de mariposa monarca registró un aumento del 64% durante la temporada de hibernación 2025-2026 en México. Solo imaginen cómo está celebrando Homero en el cielo.

[🇳🇴⚽ NORUEGA CAMPEÓN DEL MUNDO ⚽🇳🇴 @MFxntxsmxs]

Por cierto, sigue abierta la convocatoria a la maestría en ciencia de datos en el Infotec. Es en linea y gratuita (pregunté y según no hay colegiatura).

Aquí pueden ver el pdf:

https://t.co/eUpU8ei2Us

También hay maestrías en campos sociales pero enfocados a la tecnología

[桜谷シュウ 『ニワトリ・ファイター』 Rooster Fighter 第12巻 発売中！！ @shu_sakuratani]

#1 en México!? ¡No lo puedo creer! ¡Gracias a todos los de México!😭