Oscar Ovando

Tecnologista, Animal tropical.

[Valerio Capraro @ValerioCapraro]

LLMs can quietly shift our attitudes on important social issues.

In the experiments, participants wrote about issues such as the death penalty, voting rights for felons, fracking, and genetically modified organisms. As they wrote, the AI subtly nudged them toward one side of the debate.

The result? Their attitudes shifted in the direction favored by the AI.

They did so quietly. They did not argue, did not debate, did not try to persuade. They simply complete the sentences.

This is epistemia in action: the silent shaping of what becomes thinkable, sayable, and believable.

And it is LLMorphism at its most dangerous. We treat the model as a neutral linguistic prosthesis, while it is quietly reorganizing our cognition.
We risk becoming the LLM.

*
Paper in the first reply

[Agustin Lebron @AgustinLebron3]

3 Body Problem is a Chinese story about a group of alien minds who manipulate a weird human cult in order to spread special technology designed to limit scientific progress.

After @AnthropicAI nerfed Fable to provide bad ML answers, it feels a little on the nose doesn't it?

[Oscar Ovando @oscarovan]

@InvictosSomos culpa del brexit...

[Alejandra. @AlejandraTuk]

En este proceso electoral todo ha sido asqueroso, pero, si tuviera que elegir lo peor, sería el uso de la cifra de menores reclutados por las FARC como contrarrelato de la cifra de falsos positivos. No sólo demuestra ignorancia jurídica; revela que ninguna víctima les importa.

[Oscar Ovando @oscarovan]

@elder_plinius the system just need more dumb people

[Oscar Ovando @oscarovan]

@elder_plinius fragmented attention by dopaminic overload. social media, smartphones... less nutritious food, less real world interactions, everything conspiring against their brains.

[Oscar Ovando @oscarovan]

@Microinteracti1 at second 10, he is eating a big TACO

[Oscar Ovando @oscarovan]

@uncongresonuevo @lasillavacia jajajaja

[Oscar Ovando @oscarovan]

@JACOBOSOLANOC Maria Fernanda no sera parte del nucleo duro del gabinete de Abelardo, muy toxica y disociadora incluso para ellos. Lo que me pregunto es, que le habran ofrecido o en donde ubicaran a Rodrigo Lara?

[Oscar Ovando @oscarovan]

@CamiloPrietoVal ninguno. cada quien tendra que resolver por su cuenta.

[Oscar Ovando @oscarovan]

@StrategyEmerg La dolarizacion se hara pero con USA mostrando los fierros cuando su deuda sea insostenible y diciendole al resto del hemisferio: ya que he sido el garante de su seguridad todes deben usar este dolar tokenizado ya, nada de bre-b, nada de pix, solo visa y mastercard lokas.

[Oscar Ovando @oscarovan]

@AnaErazoR Ah Rodrigo Lara el socialdemocrata pro-Biden que decia que la toma del capitolio de enero tenia que tener duras concecuencias, pero que ahora apoya con todo al proconsul Trumpiano. Todo un ejemplo de coherencia y principios solidos.

[Olena Tregub @OTregub]

Apocalyptic bird nest.

A Russian glide bomb knocks down a tree in Donbas. From the shattered branches rolls out a tiny bird’s nest.

Made of drone fiber-optic cable.

Source: Oleg Malchenko

[James @Lidio_Dominante]

El hiper presidencialismo produce que los contratistas del gobierno le inventen facultades preternaturales al líder.

[Autism Capital 🧩 @AutismCapital]

Good news bad news. Bad news first. Crypto is dying alongside your entire financial future. Good news, the country is shifting commie so you can at least get some benefits.

[Oscar Ovando @oscarovan]

@DwightSwiftie El argumento webon de siempre.

[Oscar Ovando @oscarovan]

@CeciliaLopezM preguntele a grok, el te lo conjuga.

[Oscar Ovando @oscarovan]

@Iamcan11 @octaviapolis Tan resentido que ya parece petrista

[Ihtesham Ali @ihtesham2005]

An engineering professor who failed math her entire childhood spent years figuring out exactly what had been sabotaging her, and the answer was not low intelligence. It was a hidden mode her brain kept switching into that nobody had ever told her existed.

Her name is Barbara Oakley. The book is called A Mind for Numbers.

She failed math and science from grade school to the end of high school. Numbers felt like a language everyone else had been taught in secret.

So she ran toward the thing she was good at. She enlisted in the Army right after graduation, and the Army paid her to learn Russian at the Defense Language Institute in Monterey.

She got very good at Russian. Good enough to earn a degree in Slavic Languages, serve four years in Germany as a Signal Officer, and rise to Captain.

Then the wall appeared.

She watched her career options shrink because she could not handle the technical side of her own job. The people with math moved up and moved out. The people without it stayed stuck. So at 26 she did something that sounds insane. She left the Army and enrolled in engineering, starting from remedial math, sitting in classrooms with teenagers.

In between, she worked as a Russian translator on Soviet trawlers in the Bering Sea and as a radio operator in Antarctica. Today she is a professor of engineering at Oakland University with a doctorate in systems engineering.

The question that drove her for years was simple. What changed? She was the same brain that failed algebra. Why did it suddenly start working?

The clue was hiding in the one subject she had mastered. She noticed she had never learned Russian by staring at it. She practiced a little every day, walked away, came back, and the language quietly assembled itself between sessions. Math she had attacked the opposite way. Lock eyes with the problem. Push harder. Refuse to look away until it cracks.

It never cracked. And neuroscience explains why.

Your brain has two modes. The focused mode is the one you know. Tight attention, prefrontal cortex engaged, grinding through familiar steps. The diffuse mode is the one nobody teaches you. It runs in the background when you relax. It is loose, wide, and wired for connecting ideas that sit far apart from each other.

Oakley uses a pinball machine to explain the difference. In focused mode, the bumpers are packed tight. Your thought bounces in the same small circle, over the same ground, again and again. In diffuse mode, the bumpers spread out. The thought travels. It reaches parts of the brain the tight loop could never touch.

The trap has a name. The Einstellung effect. The first approach that comes to mind blocks every better approach behind it. The harder you focus, the tighter the loop, the more locked in you become. The grinding feels virtuous. It is actually the cage.

And every time her mind wandered off a math problem as a kid, she dragged it back, believing the wandering was laziness. The wandering was her brain trying to switch into the mode that solves things. She spent ten years fighting the half of her brain that wanted to help her.

You cannot run both modes at once. The diffuse mode only takes over when you genuinely let go. Which is why answers ambush you in the shower, on a walk, at the edge of sleep. Salvador Dali knew this. He napped in a chair holding a key over a plate, and the instant he drifted off, the key dropped, woke him, and he carried the half-formed ideas straight back into focused work. Edison did the same trick with ball bearings. Two of the most inventive minds in history were deliberately farming the mode the rest of us treat as slacking off.

The practical version fits in two sentences. Focus hard on the problem until you stall. Then stop completely, and let the other mode take the shift.

The break is not a reward for the work. The break is the work. It is also why cramming fails and procrastination is fatal. Diffuse mode needs hours and nights between focused sessions to build anything, and procrastination burns that time before the first session even starts.

Oakley failed math for ten years using one mode at full strength.

She became an engineering professor the day she started using both.