nmoya

Físico. Responsable de innovación en entidades como Bankinter y Santander Consumer

[Gaston Giribet @GastonGiribet]

Desde lejos, otro amigo me envía pruebas de su generosidad. Qué bueno es saber que, en algún café de Buenos Aires, alguien lee sobre Kant y las dimensiones del espacio.

[Santander España @santander_es]

Información importante con motivo del apagón eléctrico:

[Gaston Giribet @GastonGiribet]

Junto a José Edelstein y Juan Maldacena, conversando en el TSHA, en ocasión del centenario de la visita de Einstein a la Argentina.

[Gaston Giribet @GastonGiribet]

El sábado 5 de abril tendré el placer de compartir una conversación sobre "El universo de Einstein" con dos colegas a los que admiro enormemente, Juan Maldacena y José Edelstein. Nuestra conversación será en el marco de la serie de eventos en conmemoración de la visita de

[nmoya @nmoya]

@GastonGiribet @pcoffeebreak Enhorabuena. No me pierdo un episodio. Gran trabajo!

[Gaston Giribet @GastonGiribet]

Esta semana Coffee Break, Señal y Ruido [@pcoffeebreak] cumplió 500 episodios. Mis compañeros y yo queremos agradecerles a todos nuestros oyentes por estos diez años dedicados a escuchar nuestro programa y a discutir con nosotros sobre actualidad científica.

[nmoya @nmoya]

@GastonGiribet Lo mejor es que está en el apartado de filosofía y no en el de sucesos

[Marc Andreessen 🇺🇸 @pmarca]

Why AI Won't Cause Unemployment

Marc Andreessen
Reposted Jan 24, 2025

"In retrospect, I wish I had known more about the hazards and difficulties of [running] a business." -- George McGovern

Fears about new technology replacing human labor and causing overall unemployment have raged across industrialized societies for hundreds of years, despite a nearly continual rise in both jobs and wages in capitalist economies. The jobs apocalypse is always right around the corner; just ask the Luddites.

We had two such anti-technology jobs moral panics in the last 20 years — “outsourcing” enabled by the Internet in the 2000’s, and “robots” in the 2010’s. The result was the best national and global economy in human history in pre-COVID 2019, with the most jobs at the highest wages ever.

Now we’re heading into the third such panic of the new century with AI, coupled with a continuous drumbeat of demand for Communist-inspired Universal Basic Income. “This time is different; AI is different,” they say, but is it?

Normally I would make the standard arguments against technologically-driven unemployment — see good summaries by Henry Hazlitt (chapter 7) and Frédéric Bastiat (his metaphor directly relevant to AI). And I will come back and make those arguments soon. But I don’t even think the standand arguments are needed, since another problem will block the progress of AI across most of the economy first.

Which is: AI is already illegal for most of the economy, and will be for virtually all of the economy.

How do I know that? Because technology is already illegal in most of the economy, and that is becoming steadily more true over time.

How do I know that? Because, [see chart].

This chart shows price changes, adjusted for inflation, across a dozen major sectors of the economy.

As you can see, we actually live in two different economies.

The lines in blue are the sectors where technological innovation is allowed to push down prices while increasing quality. The lines in red are the sectors where technological innovation is not permitted to push down prices; in fact, the prices of education, health care, and housing as well as anything provided or controlled by the government are going to the moon, even as those sectors are technologically stagnant.

We are heading into a world where a flat screen TV that covers your entire wall costs $100, and a four year college degree costs $1 million, and nobody has anything even resembling a proposal on how to systemically fix this.

Why? The sectors in red are heavily regulated and controlled and bottlenecked by the government and by those industries themselves. Those industries are monopolies, oligopolies, and cartels, with extensive formal government regulation as well as regulatory capture, price fixing, Soviet style price setting, occupational licensing, and every other barrier to improvement and change you can possibly imagine. Technological innovation in those sectors is virtually forbidden now.

Whereas the sectors in blue are less regulated, technology whips through them, pushing down prices and raising quality every year.

Note the emotional loading of the interplay of production and consumption here. What do we get mad about? With our consumer hat on, we get mad about price increases — the red sectors. With our producer hat on, we get mad about technological disruption — the blue sectors. Well, pick one; as this chart shows, you can’t have your cake and eat it too.

Now think about what happens over time. The prices of regulated, non-technological products rise; the prices of less regulated, technologically-powered products fall. Which eats the economy? The regulated sectors continuously grow as a percentage of GDP; the less regulated sectors shrink. At the limit, 99% of the economy will be the regulated, non-technological sectors, which is precisely where we are headed.

Therefore AI cannot cause overall unemployment to rise, even if the Luddite arguments are right this time. AI is simply already illegal across most of the economy, soon to be virtually all of the economy.

[Lope de Vega 2.0 📜🖋 @lopedevegac]

Siempre que recordamos el Siglo de Oro hablamos de Quevedo, de Góngora, de Cervantes o de mí, pero también tuvimos grandes autoras que merecen su lugar en la historia.

Hoy #Díadelasescritoras quiero recordar a las grandes AUTORAS, del Siglo de Oro ♀️📜✍🧵����

[Hector Socas-Navarro @hsocasnavarro]

La seña de identidad de la ciencia actual

David Berghmans: "we have lots if interesting data but not enough people", en @Solar_EPS meeting #ESPM24

[Chris Hadfield @Cmdr_Hadfield]

Superb close-up of last night's @Boeing Starliner undock from the Space Station. Zoom in, you can see every bit.
(video: 4K SpaceTV-1 from the good folks @sen - brand new, freely accessible to the public soon)

[Anthony Bonato @Anthony_Bonato]

Is math discovered, invented, or generated by a cosmic LLM?

[nmoya @nmoya]

@eduardomanchon Muy interesante. En cualquier caso en Internet yo diferencio nombres de servicios: Facebook, Instagram y nombres de empresas: ej. Meta. Y si no que se lo pregunten a Google, su red social Google+ y Alphabet para deshacer el entuerto.

[Nick O'Brien @NickLovesSpain]

25 features of Spain that no other country can offer:

(a 🧵)

[Jon Erlichman @JonErlichman]

BASIC launched on this day in 1964.

[nmoya @nmoya]

@martinvars Con el app de Santander puedes hacerlo usando biometria (huella o face id) .

[nmoya @nmoya]

Gracias! Había leído sobre este juguete anteriormente pero hasta ahora nada tan detallado. Gracias.

[Operador Nuclear @OperadorNuclear]

EL JUGUETE RADIACTIVO ☢️

El Gilbert U-238 Atomic Energy Lab fue un juego lanzado por AC Gilbert Company en EEUU en 1950 para que los niños experimentaran con reacciones nucleares utilizando material radiactivo. En un HILO te explico su historia, contenido y riesgos.

[Anthony Bonato @Anthony_Bonato]

You have 20 minutes. Go!

[Physics In History @PhysInHistory]

Proved by mathematician Thomas Hales in 1999, this conjecture states that hexagonal tiling is the best way to divide a surface into regions of equal area with the least total perimeter. This principle, observed in honeybee constructions, explains the efficiency of hexagons in nature.

[Universo Recóndito @UnvrsoRecondito]

DE PASEO A JÚPITER

Júpiter es un "planeta gaseoso", sin superficie sólida.

Si tomamos una nave hasta este gigante ¿Podríamos caer por un extremo de Júpiter y salir por el otro?

¿Será como atravesar una espesa nube?

Un🧵👇🏼