BDR

Bruno De Rosa, docente di Economia Aziendale, Università degli Studi di Trieste. Detesto essere “intruppato”.... da qualsiasi truppa.

[BDR @EconAzUnits]

Dubito ergo sum!

[Prof. Feynman @ProfFeynman]

Don't just teach your students to read. Teach them to question what they read, what they study. Teach them to doubt. Teach them to think.

[BDR @EconAzUnits]

Wow!

[BDR @EconAzUnits]

@nanoscalebiomed Molto interessante!

[BDR @EconAzUnits]

Che bello!

[🅾️sservaMy 👁☮️🍉 @OsservaMy]

Durante la cerimonia pre-partita dell'amichevole tra Spagna e Perù allo stadio Cuauhtémoc di Puebla, in Messico, il difensore Fabio Gruber è stato protagonista di uno dei momenti più discussi della giornata con un gesto di gentilezza commovente nei confronti del

[BDR @EconAzUnits]

@MonkJonSmith @Dipper_pol Alfred Einstein himself has just spoken…

[BDR @EconAzUnits]

@Svedjebruket @Dipper_pol This is a silly statement, indeed…

[La Vanda Gastrica @Vrum83]

David Alan Harvey

[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.

[BDR @EconAzUnits]

Che tristezza….

[BDR @EconAzUnits]

@Vrum83

[BDR @EconAzUnits]

Questa è forza mentale vera…

[BDR @EconAzUnits]

Clear proof that the truth inevitably comes out… what a pathetic sight…

[BDR @EconAzUnits]

Che grande!

[BDR @EconAzUnits]

Mio Dio…

[Filippo Facci @FilippoFacci1]

https://t.co/elXEHVHpxk

[BDR @EconAzUnits]

@kommander61 Un vero peccato, Comandante. Un vero peccato!
Non sempre ho tempo e voglia di andare sui social (questo lo uso sempre più sporadicamente, e solo perché ci sono ancora persone come Te).
Temo, pertanto, di perdere il contatto… anche se spero davvero che non sia così…

[BDR @EconAzUnits]

De Paolini pone esplicitamente una domanda che è un po’ che frulla nella mia testa… chi comprerà tutti i beni e i servizi prodotti grazie all’intelligenza artificiale, se il lavoro umano verrà sostituto?

C'è un macigno sul tavolo dell'Ia https://t.co/aqrvXSYXQ5 via @ilgiornale

[BDR @EconAzUnits]

@marcopalears @valfurla @PaoloBorg 🤣

[BDR @EconAzUnits]

Molto interessante!

[BDR @EconAzUnits]

😂😂😂

[Torlone Gianfranco 🐦 @torloneg]

@AlbertoBagnai Stimo di più il mio armadio

[BDR @EconAzUnits]

@torloneg @AlbertoBagnai 😂

[alberto bisin @albertobisin]

Uno dei più comuni errori concettuali in economia - l'errore che qualunque economista sa di dover spiegare al pubblico - è la confusione tra identità e condizioni di equilibrio.

È errore ovvio (a chi conosce la materia) e gravissimo perché porta facilmente a conclusioni fortemente errate.

Questo è quello che c'è in questo slide ... la confusione e anche le conseguenze errate.