Bueno, al menos ya sabemos que Lara no sabe nada de construcción y menos aún de reconstrucción.
Algo salió de esto. Ah, él fue director ungrd encargado por unos minutos ¿no?
Lo primero, que no, que la autoconstrucción necesita ser orientada. Lo segundo, que si hacen lo que tenían se aplaza la tragedia, no se evita. Lo tercero, Lara no dabe nada de construccíón y menos aún de reconstrucción.
Two economists mathematically proved that AI will destroy the economy.
Researchers from Wharton and Boston University published a terryfiying paper called "The AI Layoff Trap."
They mapped out the economic end-game of the AI transition, and it exposes a fatal flaw in competitive capitalism.
When a company replaces a worker with AI, it captures 100% of the wage savings.
But that displaced worker is also a consumer. When they lose their job, they stop buying things.
The company gets all the savings, but the loss of consumer demand is spread across the entire economy.
If there are 20 competitors in a market, a CEO only absorbs 1/20th of the economic damage their layoffs just created.
So every single rational CEO has a mathematical incentive to automate as fast as possible.
They can literally see the cliff approaching, and they still step on the gas.
It triggers an unavoidable Prisoner’s Dilemma. If you don't automate, your competitors will, and they will crush you on price.
It doesn't just hurt workers. It destroys the businesses, too.
The economy gets trapped in an automation arms race. Companies fire their workforce to stay competitive, until the entire consumer base is completely hollowed out.
At the limit, the paper concludes: “Firms automate their way to boundless productivity and zero demand.”
And the scariest part?
The researchers mathematically tested every popular fix.
Universal Basic Income? Fails. It raises the living standard but doesn't change the corporate incentive to cut jobs. Retraining? Fails. Worker equity? Fails.
The paper proves that more competition actually makes the collapse happen faster. And "better" AI makes the damage worse.
The only thing that mathematically stops the collapse is a targeted automation tax, forcing companies to pay for the purchasing power they destroy before they automate the job.
Leyendo a Gabo, describía una ciudad hecha de hielo, de bloques transparentes, tal como esta envolvente.
Creo que la transparencia puede ser uno de las grandes cualidades que definió la modernidad en arquitectura.
Edificio Santa Clara; Lagula Arquitectes.
“Let me get this straight, you’re lending billions with cheese as collateral?”
“Not cheese. Parmesan. Parmigiano-Reggiano to be precise.“
“So, you finance this by packaging the Parmesan loans into Parmesan CDO A, which has part of Parmesan CDO B and both get put into Parmesan CDO C?”
“Yeah. The original loans are backed by wheels of Parmesan. Minimum age of 12 months. Some are 24 months. 36 months. 48 month. Hell, up to 120 months. Delicious. Millions of wheels. But Parmesan CDO C is a synthetic Parmesan CDO. A CDO of Parmesan CDOs. Parmesan Squared if you will.”
“What if it gets too hot in the summer and the wheels of Parmesan melt?”
“We’ll sell Parmesan credit default swaps.”
“C’mon! How much bigger is the market for Parmesan-backed sythentic loan and CDS products than actual edible real-life Parmesan that I can grate on top of my homemade spaghetti bolognese tonight?”
“At least 10,000x.”
“Ok, let’s say we have an underlying pool of $10 million in Parmesan wheels. How much money could be out there betting on your synthetic Parmesan financial products?”
“Probably $100 billion.”
“That is fucking crazy.”
“No, it’s awesome.”
The biggest cheese banks in Italy store 300,000+ wheels of Parmesan.
Dairy farmers use cheese as collateral and get loans up to 80% of market value. At ~$1,000 per wheel, that’s $200m+ in loans (banks seize and sell cheese if farmer can’t pay back).
Best part: banks use automated machines that brush and turn the cheese wheels everyday to keep them fresh.
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Vid link: https://t.co/ohAA6wNgoD