Luda76

Todo me interesa. Algunas cosas durante años otras sólo un par de segundos. Pero todo me interesa. FAN LEGENDARIA 😈

[Luda76 @Luda76]

La Calle del Terror

Poema de Arlette Luévano
Voz y producción de Fátima Ruth González

[Enséñame de Ciencia @EnsedeCiencia]

La cabra de cachemira es un subtipo de cabra doméstica originaria de las regiones montañosas de Asia Central, famosa mundialmente por producir una de las fibras textiles naturales más suaves, cálidas, ligeras y exclusivas del mercado: la lana de cachemira

[Comunicación y Sociedad @CySrevista]

🕊️ Nueva entrega de Voces y memorias para Rossana Reguillo, ahora con un texto de Dorismilda Flores-Márquez (@dorisfm)

Una invitación a seguir pensando desde las preguntas que Rossana dejó abiertas.

🔗 https://t.co/ShzEqgIKMD

#RCyS #CySrevista #RossanaReguillo #VocesYMemorias

[Brindille @Brindille_]

The Silent Sonata
© Kleury

[cinesthetic. @TheCinesthetic]

Just for this scene alone, FLOW (2024) deserved every award it won.

A moment of breathtaking beauty, told entirely through images, emotion, and movement.

Pure cinema.

[literland @literlandweb1]

"Fracasé. Fue mi culpa. Lo reconozco. / Pero en manera alguna pido perdón o indulgencia: / Eso me pasa por intentar lo imposible".
José Emilio Pacheco

[beyza dogan ironisi @beyzipsg]

Kadınlar ne kadar zeki ve yetkin olursa, o kadar az seviliyor ve o kadar fazla düşmanlıkla karşılaşıyor.

Erkekler için böyle bir ilişki bulunamamıştır.

[Joe Henrich @JoHenrich]

This is a great piece that accurately captures the challenges of explaining what makes us human. https://t.co/SvFbAnPtLW

[Historiador dibujante @Elpasadoacolor]

La bandera de México en un libro de la Dinastía Qing en la China Imperial. De alrededor de 1884.

[고양이 트윗 번역계猫ポスト翻訳垢🐱 @nihongowacaran]

미국 스튜디오 MAKE의 작품이다. 이집트 고양이 여신 바스테트에서 시작해 19세기 회화를 거쳐 현대까지, 고양이의 역사를 16초 안에 훑는 애니메이션이다.

시대는 바뀌었다. 고양이는 바뀌지 않았다. 그게 이 영상의 결론이다.

[Wild at Heart @emmanu_elle_]

La nuit, je lis.

[Juan. @unvalledezorros]

🖤

[Rythme @rythme3]

Yazının düşünceyi genişleterek, dönüştürerek ve ona yeni hareket alanları açarak bilişsel bir teknoloji olduğundan söz eden bu makaleye denk geldim. Kısaca yazmak düşüncenin hareket halidir diyor. Mutlaka tavsiye ederim.

Link: https://t.co/T1SfD6aR3G

[AJ+Español @ajplusespanol]

La estética MAGA: Ultraoperadas y ultraderechistas. 💅Con @sardahelena

[Nav Toor @heynavtoor]

You have noticed it. ChatGPT feels dumber than it used to. Your prompts that worked six months ago produce worse results now. The writing sounds flatter. The ideas sound safer. The internet itself feels like it is shrinking. Every article reads the same. Every email sounds the same. Every answer sounds like it was written by the same voice.

You thought it was you. It is not you.

Researchers at Oxford and Cambridge published a paper in Nature proving what is happening. They call it Model Collapse.

Here is the mechanism in one sentence. AI trained on AI-generated data gets dumber every generation until it forgets what real human data looked like.

The internet is filling with AI-generated content. Blog posts. Articles. Reviews. Comments. Social media. AI companies scrape the internet to train the next generation of models. Which means the next generation of AI is being trained on the output of the current generation.

Each cycle loses information. Not randomly. It loses the rarest, most unusual, most creative parts first. The researchers call these the "tails of the distribution." The weird ideas. The unexpected perspectives. The things that made the internet feel human. Those disappear first.

What remains is the average. The safe. The expected. The bland.

Then the next generation trains on that. And loses more. And the next generation trains on that. And loses more. The researchers proved this is not a slow decline. Major degradation happens within just a few iterations. Even when some of the original human data is preserved.

They tested it on large language models. On image generators. On statistical models. The pattern was the same every time. The output converges toward a narrow, flattened version of reality that looks nothing like the original data.

The lead researcher put it plainly. "Large language models are like fire. A useful tool. But one that pollutes the environment."

The pollution is invisible. You cannot see which sentence on the internet was written by a human and which was written by AI. Neither can the AI that is about to train on it. And once the tails are gone, they do not come back. The damage is irreversible.

This is not a prediction anymore. It is a diagnosis.

The internet you grew up on was built by humans writing things no algorithm would have written. Strange, personal, imperfect, alive. That internet is being diluted. One generation of AI at a time. And the models trained on what remains are learning a smaller and smaller version of the world.

Model Collapse is not a technical problem. It is a cultural one. The thing that made the internet worth reading is the thing that disappears first.

[.stuff @vintagestuff4]

"I want to sleep
I feel so sleep
no matter how much I wash my face
I can't wake up"

- Cat morning
Tomoyoshi Murayama