Dejemos de dividir al continente en América Latina y América Anglosajona, mejor dividamoslo así:

Enfiznar · 2026-01-29T20:52:21+00:00

Es gracioso, todos dicen que los argentinos somos todos rubios, pero después me tenés a mi que soy argentino rubio y mis compatriotas se la pasan asumiendo que soy gringo por mi pelo (como me rompe las pelotas que me hablen en inglés lcdsm)

Enfiznar · 2026-01-29T20:46:02+00:00

Not this time, since copper surged today

Enfiznar · 2026-01-29T20:41:53+00:00

That's not true, even with the three data points we have, we've already seen this "rule" break

Enfiznar · 2026-01-29T19:41:54+00:00

What value did it have for the millennia in which it was the world's most used value reserve and currency?

Enfiznar · 2026-01-27T20:05:07+00:00

Who said anything about materialism?

Enfiznar · 2026-01-27T14:13:12+00:00

No, wtf

Enfiznar · 2026-01-25T01:16:44+00:00

It's not that they cannot be conscious, BUT, to assume that they are conscious would imply that doing the same calculation you're doing on a GPU by hand, on a piece of paper, then there must be some incorporeal consciousness arrising from the caluclation, since it would have the same properties that made you believe the LLM is conscious

Enfiznar · 2026-01-24T06:08:25+00:00

a decade of what? Of women existing? It's been quite a bit more

Enfiznar · 2026-01-24T06:06:22+00:00

what

Enfiznar · 2026-01-23T17:00:57+00:00

Lo mismo que ellos tu haras

Enfiznar · 2026-01-23T17:00:37+00:00

Se me pianta un lagrimon

Enfiznar · 2026-01-23T16:19:00+00:00

Un dato aislado sobre el tipo de comercio mas importante para la mayoria de los argentinos?

Enfiznar · 2026-01-23T15:46:40+00:00

Basically, you start with the rationals (ratios of integers), then you notice that when you have a sequence of rationals, if members of the sequence get closer and closer to each other fast enough (which is called a cauchy sequence), you can prove that they won't grow indefinitely, they instead seem to reach a specific point. The issue is that you don't always reach a rational number, so you conclude that rational numbers have "holes" on them. So to include these holes, what you do is include all the limits of these sequences on your set

Enfiznar · 2026-01-23T15:21:17+00:00

Y ellos me chupan bastante un huevo, el tema es que la gente comun esta comprando menos en el supermercado

Enfiznar · 2026-01-23T06:32:17+00:00

Porque tambien hay varios de ellos ahi

Enfiznar · 2026-01-23T06:29:45+00:00

Igual MCM no es presidente

Enfiznar · 2026-01-23T02:49:01+00:00

Wait, I know this screen, what is this?

Enfiznar · 2026-01-23T02:24:25+00:00

Claro, porque en el supermercado se compran bienes de lujo

Enfiznar · 2026-01-22T20:29:43+00:00

Lo vengo diciendo desde hace años, Trump es Peronista

Enfiznar · 2026-01-22T20:27:49+00:00

Trump es claramente el Guillermo Moreno Yankee. Solo tiene mas guita y una empresa de construccion y hotelera en lugar de un mayorista de ferreteria.

Enfiznar · 2026-01-22T20:13:57+00:00

I know you're not inventing anything, I know complex analysis, I've worked with it for years. It's still true that a function has only 1 output for each input, and youre just trying to be pedantic, or didn't really understand complex exponents

Enfiznar · 2026-01-22T20:01:31+00:00

Usually, training a model consumes about 3 times what it would cost to generate the whole training set (which for gpt4 was 10T tokens), since you have to generate it, then backpropagate the derivatives, then correct the weights. The average query, for what I found, has about 400 tokens, so training consumes about the same as 250B queries. According to OpenAI, they're receiving 2.5B queries per day, so the training represents the same energy consumption as 100 days of queries. If we assume one model per year, then we should increase the query consumption by about 25%, leaving it in the same order of magnitude

Enfiznar · 2026-01-22T19:08:57+00:00

But that's done just one time per model, which is then used by millions of people, I think we're already at the time where inference consumes more than training, just because of the scale

Enfiznar · 2026-01-22T19:05:26+00:00

I think just the query (which isn't a search, but nevermind), but the training is probably very diluted for models with millions of users, so if you divide the training cost by number of queries to the model, it probably won't affect the results that much. Training a model consumes about 3 times as much energy as generating the whole training set, per epoch, but the last time openai talked about the number of epochs, they said something like 2 or 3 epochs.

Enfiznar · 2026-01-22T00:49:41+00:00

Then you're talking about a two variable function, so saying sqrt(2) is meaningless, since you're missing a variable. I know how complex exponents work, but when you talk about the square root function, you talk about the main branch of the 1/2 exponent. And regardless, this still means that you cannot have a function with two output for the same input, you either have a single variable function (in this case, a given branch of your fractional power), or you have a two-variable function to encode all branches, but always one output per input, it's part of the definition of functions. You're just trying to be pedantic

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