Marcelingrado

Vi Veri Vniversvm Vivvs Vici

[Marcelingrado @Vladeksh]

🖤 https://t.co/tKv0WHfmZk

[vitto89 @vittodi26]

#CosasQueNoNecesitoEnMiVida este tipo de música

[Lucas @LucasBapes]

Oye la cantidad de gente que ha posteado en Instagram esa estupidez de ChatGPT 💀💀💀

[Oximorónico @Oximoronico]

Hay un tipo de flyer con IA que está usando todo el mundo. Me tiene harto, parece todo lo mismo. Es una pesadilla salida de Dialéctica de la Ilustración

[New York Magazine @NYMag]

Joe Lim estimates that 90 percent of what you see on the internet is advertising in disguise, and he should know. For three years, Lim ran a company called Floodify, which at its peak operated 65,000 dummy social-media accounts used to drum up attention on behalf of paying clients.

The point of this kind of marketing is that nobody is supposed to notice it. But lately, the machinery has started to show.

In April, Justin Bieber headlined two consecutive weekends at Coachella. Coachella is the biggest stage in pop music save only for the Super Bowl, the kind of event that in theory generates its own attention. And yet on both weekends, a Discord server writer Lane Brown had been monitoring hosted paid campaigns for Bieber’s Coachella performances, offering clippers — people who are hired to turn a song, trailer, interview, stump speech, or whatever into short, social-media-friendly fragments — as much as a dollar per thousand views.

“On social media, popular opinion is being formed, measured, and manipulated all at once, and every signal the platforms produce — a trending song, a backlash, a talking point, the feeling that ‘everybody’ is suddenly talking about the same thing — can now be fabricated by unseen actors with hidden agendas,” writes Brown.

“Everybody is doing this now,” Lim says. “And if you’re not, you’re behind.”

Brown reports on how the same techniques are now being used to fool people on every app they go to in order to find out what other people think, not just in music but across entertainment, politics, consumer products, and celebrity gossip: https://t.co/hlcdfSmzPc

[Dindon Fiscal @LeDindonFiscal]

🚨 ATTENTION : ces tweets qui « prédisent » l’avenir en ce moment… c’est du pur FAKE.

Je vous explique exactement comment ils font (c’est ridicule de simplicité) et surtout pourquoi ils le font.

Ils créent des comptes privés avec des milliers de tweets programmés à l’avance :
« Le vainqueur de la prochaine CDM sera… », « La prochaine épidémie s’appellera… », etc.

Dès qu’un événement se produit, ils suppriment TOUS les autres tweets, gardent uniquement celui qui a « vu juste », passent le compte en public… et hop, miracle.

Pourquoi ils font ça ?

Pour farmer les stats. Le vrai compte (souvent un gros compte) screen le tweet en premier, le partage, et l’armée des complotistes arrive en masse. Résultat : 100 à 150 millions de vues en quelques heures.

Et ça rapporte très gros : être le premier sur ce genre d’info peut rapporter 4 000 à 5 000 $ grâce à la monétisation X.

Avec la monétisation qui s’est généralisée, vous allez en voir de plus en plus.

Dans quelques mois, ce sera devenu un vrai problème.

À chaque événement majeur, quelqu’un sortira « un tweet de 2022 » qui avait tout prévu…

C’est drôle ? Oui.

C’est rentable ? Clairement.

Mais moi ça me pose un gros problème : ça nourrit le complotisme comme jamais.

X doit-il modérer ce genre de manipulation ou on laisse faire au nom de la « liberté » ?

[literland @literlandweb1]

“He aprendido que la paciencia es una forma de inteligencia. No todo tiene que resolverse de inmediato, no todo tiene que tener una respuesta clara. La vida no siempre es una batalla que hay que ganar, a veces es un río que hay que aprender a navegar.”
Viggo Mortensen

[Daniel Blanco 💻🤖 @DanielBlancoSWE]

Cualquiera que trabaje en proyectos reales sufre con esto a diario.

El software que generan los LLMs es una basura, y a más grande el proyecto, peor. Tienes que llevarlos muy de la mano y revisar bien su output.

Pero aquí X está lleno de gente que asegura que ya "cualquiera" puede construir software. Y, curiosamente, el 99% de ellos no trabaja en proyectos mínimamente grandes.

[𝚂𝚛. 𝙱𝚛𝚊𝚍 ✍︎ @bradford_col]

No dejen que el mundo corporativo arruine su horario de gimnasio y su rutina de autocuidado.

[Gustavo Cardenas @gustav0cardenas]

El astrofísico Neil deGrasse Tyson lo resume con datos que no admiten mucha discusión:

En la época de las cavernas, un ser humano vivía en promedio 30 años. Para 1840, la esperanza de vida apenas había subido a 35. Y eso que todo era “orgánico”: aire puro, agua sin procesar y animales de libre pastoreo.

Aun así, la gente moría joven.

Lo que realmente disparó la expectativa de vida no fue la “vida natural”, sino la ciencia: vacunas, antibióticos, saneamiento, tecnología médica y conocimiento acumulado.

Por eso las expectativas razonables deben alinearse con lo que muestra la evidencia científica.

Y si algo enseña la historia es esto: cada vez que confiamos en la evidencia, avanzamos; cada vez que la ignoramos, retrocedemos.

[Joestar @Joestar_sann]

so let me get this straight

all of ai twitter was telling people to buy a mac mini to run openclaw, which is literally just a framework, an orchestration layer that sends api requests to actual ai models. something you can run on a $5/month vps. which is exactly what i do btw

but when google drops gemma 4, an actual large language model that you can run and fine-tune locally on that same mac mini, with no api costs, no subscriptions, no third party dependencies, completely yours under apache 2.0

the ai community is silent

you were buying $800 hardware to run a wrapper but ignoring the actual ai model that would justify that hardware

this tells you everything you need to know about the average iq of ai twitter

[Camus @newstart_2024]

Chris Williamson's brutal wake-up call in 46 seconds:

“Adults don't exist.”

He runs down the list:

- Steve Jobs delayed pancreatic cancer treatment for carrot juice and acupuncture.

- Mozart drowned in debt, constantly begging friends for money.

- Nietzsche caught syphilis in a brothel and sold only 300 copies of his work in his lifetime.

- Martin Luther King had affairs with over 40 women and spent his last night with two of them.

- Isaac Newton wasted 30 years on alchemy pseudoscience his heirs hid out of embarrassment.

The point lands hard:
Don't put any adult on a pedestal.
Kill your gurus.
The adults aren't going to save you — they don't even exist.

Raw, unflinching, and impossible to unhear.

Which "hero" or guru did you once idolize… until you learned the messy truth behind them?

[Richie @richiemcilroy]

apparently software as we know it is dead

because Susan from accounting is going to vibe code a calendly alternative while on her lunch break

I think some of you need to go outside and speak to real people

[Pre-nut Psychosis @ZarMorfeoII]

cualquiera que conozca a alguien que fuma mucho sabe que esto es mentira

[Dustin @r0ck3t23]

Yann LeCun just exposed AI’s fundamental flaw. We’re celebrating systems that can’t do what insects do effortlessly.

LeCun: “The biggest difficulty is not to get fooled into thinking that a computer system is intelligent simply because it can manipulate language.”

Language feels like intelligence because we experience it as the highest form of human thought.

So when a machine produces fluent, articulate, convincing text, the instinct is to conclude it understands.

It doesn’t.

LeCun: “It turns out the real world is much, much more complicated.”

Language is actually the easy part.

A sequence of discrete symbols with a finite number of possibilities. Predicting the next word is a tractable mathematical problem. Impressive at scale.

Not understanding. Pattern matching in symbol space.

The real world is something else entirely. A high-dimensional, continuous, noisy signal that changes every millisecond in ways no text corpus can capture.

Physical reality doesn’t come in tokens.

LeCun: “Which your house cat is perfectly able to deal with. But not computers yet.”

This is the Moravec paradox.

The things that feel hard to humans: writing essays, solving equations, passing bar exams. Computationally straightforward.

The things that feel trivially easy: walking across a room, catching a falling object, folding a shirt. Extraordinarily difficult for machines.

Your house cat navigates a complex three-dimensional physical environment in real time.

Predicts trajectories. Adjusts to surprises. Understands cause and effect through direct interaction with the world.

The most powerful AI systems ever built cannot do what your cat does before breakfast.

That’s not a minor gap. That’s the entire frontier.

Language is the easy problem that looks hard to humans.

The physical world is the hard problem that looks easy because evolution solved it billions of years ago.

We’re pouring hundreds of billions into making language models marginally better at the simple problem.

The actual intelligence problem remains unsolved.

LeCun has spent fifteen years on this. Not making chatbots more fluent. Giving machines the ability to understand, predict, and interact with physical reality the way animals do instinctively.

The benchmark that matters isn’t passing a bar exam.

It’s folding a shirt. Loading a dishwasher. Navigating an unfamiliar room without a map.

We built systems that can write your dissertation before we built systems that can tie your shoes.

That’s where AI actually is.

Everything else is autocomplete at scale.

[Sterling Cooley @SterlingCooley]

Even worse - each neuron that contributes to your cognition and consciousness might contain 100,000 Microtubules - each Microtubule Operating at 10,000,000 oscillations per second - and being Quantum photonic memristers

Good luck with the AGI tho

[PS @dostoevesque]

You have to stop treating it like a performance where you are trying to become the best version of yourself. It is not theatre. It is not self transformation day after day. You do it the way you brush your teeth. It is not about liking or disliking it. It is simply something you do.

The moment you frame working out as a heroic arc, you introduce emotion into it. Motivation, inspiration, identity, self judgment. That makes it unstable. Some days you will feel like the protagonist. Most days you will not.
But brushing your teeth requires no identity. No inspiration. No self analysis.

It is maintenance. When exercise becomes maintenance rather than self-improvement theatre, it becomes lighter. Less ego. Less pressure. Less evaluation.

[Eline @elinestark]

Voy más allá: el ruido no es solo el parlante con música en la playa.

-Es estar en el metro o en el bus y escuchar videos de Tik ToK sin audífonos.
-Es hablar a los gritos en tu casa y no dejar dormir a tus vecinos.
-Es tu perro ladrando 24/7, porque eres incapaz de atenderlo.
-Es estar en un sitio en el que no se pueda conversar porque tu voz estridente no permite oír a nadie.

[Marcelingrado @Vladeksh]

💕

[Luke Weston @lukeweston]

This is the remedy for slop.

A culture of antishit.

This is Software Engineering, kids. Actual software engineering.

Not “INSANE”.

Software practice for people who wear iron rings.

[Andrés @aramh4ck]

Por salud mental, tengan hobbies por tenerlos, algo que disfruten, ese temita de ahora de "monetizar" los hobbies es una reverenda mierda.
No todo tiene que ser dinero y productividad, la salud mental necesita el ocio.

[IsaacVtuber @IsaacVtuber11]

Que triste que tu vida sea un continuo tiktok, aburrido, repetitivo, sin sentido, y sobre todo... Fingido.
Buscas encajar, te esforzas en ser alguien y algo que no sos, te autoengañas y para colmo lo mostras al mundo donde criticas como las mías o insultos como otros llegan.
No sos natural, no sos humano, sos un algoritmo de una red social, buscando qué moda será tu nuevo disfraz dependiendo del "qué dirán".