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10,756 Aufrufe • vor 1 Jahr •via X (Twitter)

11 Kommentare

Profilbild von Viuda de Gallardo
Viuda de Gallardovor 1 Jahr

Cuando pasas a ver cómo va la obra y que están haciendo los albañiles?

Profilbild von Solar Heavy
Solar Heavyvor 1 Jahr

- Come Around

Profilbild von María Luz 🇦🇷
María Luz 🇦🇷vor 1 Jahr

El verdadero Masivo Bro.

Profilbild von vande
vandevor 1 Jahr

No entiendo , la historia es tener Plata solo y dejar de disfrutar la vida es rarísimo la única misión hacer dinero rarísimo

Profilbild von Chel Salvatore
Chel Salvatorevor 1 Jahr

Pero el mensaje es excelente, ahora puede ser la obra donde trabaja, pero el mensaje es bueno.

Profilbild von Eze Zelarayan
Eze Zelarayanvor 1 Jahr

“Dale manuel, cambiate que hay q empezar con el techo” jajaja

Profilbild von laburanteargento
laburanteargentovor 1 Jahr

Tal cual amigo! A la misma edad me mudaba a mi propia casa recién casado con la que ahora, 20 años después sigo casado con mis 2 hermosos hijos! A seguir soñando en grande que recién arranca la vida. Abrazo!

Profilbild von Wikky
Wikkyvor 1 Jahr

es asi, no hay que malgastar el dinero cuando es limitado

Profilbild von Pablo Descalzo
Pablo Descalzovor 1 Jahr

Se paró en una obra el masivo y tiró líneas

Profilbild von Güido👺🇬🇱
Güido👺🇬🇱vor 1 Jahr

Insisto, el mensaje es bueno

Profilbild von fedelucas2619
fedelucas2619vor 1 Jahr

Son una pandemia peor que el COVID-19

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Geoffrey Hinton says a big language model runs on about 1% of your brain's connections and still ends up knowing more than you: "So in your brain, you have a hundred trillion connections, roughly speaking. Okay. That's a lot. And you only live for about two billion seconds. That's not much." "If you compare how many seconds you live for, with how many connections you've got, you have a whole lot more connections than experiences." "Now with these neural nets, it's sort of the other way round. They only have of the order of a trillion connections. So like 1% of your connections, even in a big language model, many of them fewer, but they get thousands of times more experience than you." "So the big language models are solving the problem with not many connections, only a trillion. How do I make use of a huge amount of experience?" "And back propagation is really, really good at packing huge amounts of knowledge into not many connections." "But that's not the problem we're solving. We've got huge numbers of connections, not much experience. We need to sort of extract the most we can from each experience." Two to three billion seconds is the whole budget. Everything you know, you learned inside it. So evolution built you to squeeze a lot out of very little. Hinton's point is that a language model has the opposite problem and the opposite fix, and backprop turned out to be extremely good at that fix. Worth noticing what this predicts about failure. A system running on 1% of your wiring and thousands of times your experience is not going to fail the way you do. You fail from having seen too few examples. It fails from compressing too many into too little, and the compression is where the errors get made. That is a strange thing to be deploying into hospitals and courts with no way to inspect it. We test these systems by asking them questions, which tells you what came out. Nobody can yet look at a trillion connections and say what got packed in. - Geoffrey Hinton, Nobel laureate and Turing Award winner, on StarTalk (StarTalk) with Neil deGrasse Tyson.

Karl Mehta

581,556 Aufrufe • vor 1 Tag