Brickardo @ Brickardo @feddit.nl

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Joined

1 yr. ago

Conversely, when we Spanish have to learn English, the thing we hate the most is that words are not pronounced the way they're written. In Spanish, however, we've got some weird rules with irregular verbs and articles, but the former is common to both languages

I find it very common with opensuse. At first I was ecstatic to update, but now I just can't care - it takes too long, so I do it every few months.

checks version number

Every day is a good day to remember President Allende!

The EU and the digital world: sometimes maybe good, sometimes maybe shit. In Spanish we say 'una de cal y otra de arena'.

Let's agree to disagree then. An LLM has no notion of semantics, it's just outputting the most likely word to follow up to what it's already written and the user's input.

On the contrary, expert systems from back in the 90s for, say, predicting the atomic structure of an element, work like a human brain on steroids. It features an arbitrary large search tree that the software knows how to iterarively prune according to a well known set of chemical rules. We do the same when analyzing a set of options.

Debugging "current" AI models, on the other hand, is impossible because all we're doing is prescripting a composition of functions and forcing it to minimize a loss function. That's all we're doing. How can you currently tell that a certain model is going to work? Unless the mathematical theory ever catches up with the technology, we'll never know until we execute the code.

The memes are brilliant though

If you feel uncomfortable with your boss looking at that, you're either not doing the thing you are being paid for or your boss does not know what your work is about.

Right as the metro was reaching my station, I fell asleep. In a wagon I thought was empty, a stranger asked me to leave, otherwise I'd go all the way to the next station.

It must have someone who I've traveled with on the way back many times and I'd never noticed, but it's cool to remember.

Bad ending: you refused to use corporative happy-go-round lingo in your post

I'd argue that if you exactly call the model you refer to by their actual name, you'll get much different reactions. For instance, expert systems have been around for a long while.

I think that Ready Player One was terribly ported from the book format to the movie. The book went so much more over the top than the movie did, the latter turning down on a lot of nerd aspects. Having said that, different formats need different ways for conveying the same idea. The main character would literally get a "+1 blazing sword" in the book. +1. As if it were an MMO or something.

Having said that, Dune (book and movie) were terrible. The movie felt plagued with references to stuff I didn't get. Only recently did I read the book just to find it was as uninteresting as the movie.

I'll never forget those opera singers singing right to my ears when a ship would land... Now that's a way to startle a person.

On the bright side, reading the book has allowed me not see the second part of the movie.

Have you attended university?

How about getting more professors on board and making sure everyone can study?

It's closed source, so no way in hell

Fun mental exercise - remove the formalism behind agile methodologies out of software development. How is that any different from driving another human being mad?

I have altered the specifications. Play I do not alter them any further.

Pornhub + math mode. For when post nut clarity hits and you know how to solve that proof.

AI interest has come and gone. Some decades ago, people would slap the AI label to expert systems. If we go further back, one would call AI to solving problems in blocks world. It's eventually going to fade away, just like all the previous waves did.

That's what it comes by not really understanding what you're doing. Most of the AI models I work with are the state of the art just because they happen to work.

In my case, when I solve a PDE using finite difference schemes, there are precise mathematical conditions that guarantee you if the method is going to be stable or not. When I do the same using AI, I can't tell if my method is going to work or not unless I run it. Moreover, I've had it sometimes fail and sometimes succeed.

It's just the way it is for now. Some clever people have to step in and sort things out, because our knowledge is not keeping up with technological resources.

Oooh, gotcha! I didn't understand many of the replies because I'm not well versed in economics, but I thought that it meant nationalized indeed.

This hardly ever works wtf