[-] drosophila@lemmy.blahaj.zone 6 points 2 weeks ago* (last edited 2 weeks ago)

That sounds really interesting. I never thought about it that way before but I guess (dry) snow isn't very conductive.

Are there any articles about or pictures of this project out there anywhere?

[-] drosophila@lemmy.blahaj.zone 7 points 1 month ago

They've done that periodically for years.

I don't dual boot anymore but when I did I kept each installation on a separate hard drive for that reason.

[-] drosophila@lemmy.blahaj.zone 8 points 1 month ago

Strangely enough I feel like that crucification isn't much associated with the Romans. Even though the Romans were the ones who carried it out Judas gets almost 100% of the ire.

Even Jews are given more blame by antisemitic Christians. Like, no one is starting up a pogrom against Italians because their great great great grandpa might've been the guy who stabbed Jesus in the ribs.

[-] drosophila@lemmy.blahaj.zone 7 points 2 months ago* (last edited 2 months ago)

I agree to some extent, as there are plenty of distros that don't do anything significantly different from each other and don't need to exist. I also see what you mean about desktop environments. While I think there's space for all the small exotic window managers that exist, I would say we probably don't need as many big fully integrated desktop environments as there are now. (Maybe we should have only one aimed at modern hardware and one designed to be lightweight.)

That being said, there is plenty of duplication of effort within commerical software too. I would argue that if commercial desktop GUIs currently offer a better user experience than Linux desktop environments it's more in spite of their development model than because of it, and their advantage has mostly to do with companies being able to pay developers to work full time (instead of relying on donations and volunteers).

There are a couple reasons I think this:

  • In a "healthy" market economy there needs to be many firms that offer the same product / service. If there is only a small number (or, worse, only one) that performs the same function the firm(s) can begin to develop monopolistic powers. For closed source software development this necessitates a great deal of duplicated effort.
  • The above point is not a hypothetical situation. Before the rise of libre software there were a ton of commercial unices and mainframe operating systems that were all mostly independently developed from each other. Now, at least when it comes to running servers and supercomputers, almost everyone is running the same kernel (or very nearly the same) and some combination of the same handful of userspace services and utilities.
  • Even as there is duplication of effort between commercial firms, there is duplication of effort and wasted effort within them. For an extreme example look at how many chat applications Google has produced, but the same sort of duplication of effort happens any time a UI or whole application is remade for no other reason than if the people employed somewhere don't look like they're working on something new then they'll be fired.
  • Speaking of changing applications, how many times has a commercial closed source application gone to shit, been abandoned by the company that maintains it, or had its owning company shut down, necessitating a new version of the software be built from scratch by a different firm? This wastes not only the time of the developers but also the users who have to migrate.

Generally I think open source software has a really nice combination of cooperation and competition. The competition encourages experimentation and innovation while the cooperation eliminates duplicated effort (by letting competitors copy each other if they so choose).

[-] drosophila@lemmy.blahaj.zone 5 points 2 months ago* (last edited 2 months ago)

This model isn’t “learning” anything in any way that is even remotely like how humans learn. You are deliberately simplifying the complexity of the human brain to make that comparison.

I do think the complexity of artificial neural networks is overstated. A real neuron is a lot more complex than an artificial one, and real neurons are not simply feed forward like ANNs (which have to be because they are trained using back-propagation), but instead have their own spontaneous activity (which kinda implies that real neural networks don't learn using stochastic gradient descent with back-propagation). But to say that there's nothing at all comparable between the way humans learn and the way ANNs learn is wrong IMO.

If you read books such as V.S. Ramachandran and Sandra Blakeslee's Phantoms in the Brain or Oliver Sacks' The Man Who Mistook His Wife For a Hat you will see lots of descriptions of patients with anosognosia brought on by brain injury. These are people who, for example, are unable to see but also incapable of recognizing this inability. If you ask them to describe what they see in front of them they will make something up on the spot (in a process called confabulation) and not realize they've done it. They'll tell you what they've made up while believing that they're telling the truth. (Vision is just one example, anosognosia can manifest in many different cognitive domains).

It is V.S Ramachandran's belief that there are two processes that occur in the Brain, a confabulator (or "yes man" so to speak) and an anomaly detector (or "critic"). The yes-man's job is to offer up explanations for sensory input that fit within the existing mental model of the world, whereas the critic's job is to advocate for changing the world-model to fit the sensory input. In patients with anosognosia something has gone wrong in the connection between the critic and the yes man in a particular cognitive domain, and as a result the yes-man is the only one doing any work. Even in a healthy brain you can see the effects of the interplay between these two processes, such as with the placebo effect and in hallucinations brought on by sensory deprivation.

I think ANNs in general and LLMs in particular are similar to the yes-man process, but lack a critic to go along with it.

What implications does that have on copyright law? I don't know. Real neurons in a petri dish have already been trained to play games like DOOM and control the yoke of a simulated airplane. If they were trained instead to somehow draw pictures what would the legal implications of that be?

There's a belief that laws and political systems are derived from some sort of deep philosophical insight, but I think most of the time they're really just whatever works in practice. So, what I'm trying to say is that we can just agree that what OpenAI does is bad and should be illegal without having to come up with a moral imperative that forces us to ban it.

[-] drosophila@lemmy.blahaj.zone 6 points 2 months ago

The other day I saw a car with a Rosie the Riveter bumper sticker next to Trump 2024 sticker.

[-] drosophila@lemmy.blahaj.zone 6 points 4 months ago

That's the entire rest of the world my dude.

[-] drosophila@lemmy.blahaj.zone 7 points 4 months ago

Where is the rest of the tree supposed to have gone

[-] drosophila@lemmy.blahaj.zone 6 points 4 months ago

Absent the effect of gravity hair strands have a tendency to straighten and spread out. Usually astronauts with long hair tie it up, but there are some pictures showing what this looks like:

Makes me wonder whether that's depicted in the manga.

[-] drosophila@lemmy.blahaj.zone 7 points 4 months ago* (last edited 4 months ago)

I don't know about the wine or cheese but I have to disagree with you on the bread thing.

There are people that make multigrain, wholegrain, sourdough, etc bread based on medieval recipes and while they're not wonderbread they're also not unrecognizable as bread to a modern person and they're not terrible either. There are even people who buy the grains and stone grind it themselves to make it more authentic.

[-] drosophila@lemmy.blahaj.zone 7 points 4 months ago* (last edited 4 months ago)

Huh ?

What information are you trying to convey by quoting that sentence from the article?

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