Midnight Commander has been around for ages. It’s a straight ripoff/homage to the original Norton Commander, a full-fledged file manager and a godsend on week-kneed machines (like old netbooks).
@olafurp@AlecSadler What kind of data hoader are you?!
I mean, if you can afford that sure, but I find it unnecesary.
Also, how do you plan to backup that much storage? just curious about the last one, I always find it hard to backup more than 100 GB of media
@olafurp I have 1TB SSD storage on my rpi and I delete series once I have watched them, otherwise I eventually run out of storage if I don't. Well, good luck, but maybe before upgrading your storage you should upgrade your home server, a rpi is powerfull but you will eventually face problems related to I/O and CPU limitations
If you’re not encoding and there’s only like one or two users at a time, it’s plenty. Now if you want to encode on the fly to a myriad of formats and serve your entire extended family and friends, then it will choke. But people rarely do that.
@dustyData The RPi4 4GB model already struggles being me the only user, I have a bunch of services but RAM is not the problem nor is the cpu, the main problem in my case is the i/o limitation. I boot from the USB, while most operations don't suppose much load for the system, as soon as I start writing to the disk series or even update dockers the system starts to slow down.
If 2-4 TB makes you think “data hoarder”, you don’t even want to know what the self-proclaimed data hoarders get up to. 10-20 TB drives aren’t insanely expensive, and some of us have several of them.
I mean… it’s not artificial intelligence no matter how many people continue the trend of inaccurately calling it that. It’s a large language model. It has the ability to write things that look disturbingly close, even sometimes indistinguishable, to actual human writing. There’s no good reason to mistake that for actual intelligence or rationality.
It seems to me that you misunderstand what artificial intelligence means. AI doesn’t necessitate thought or sentience. If a computer can perform a complex task that is indistinguishable from the work of a human, it will be considered intelligent.
You may consider the classic turing test, which doesn’t question why a computer program answers the way it does, only that it is indiscernable from a human response.
You may also consider this quote from John McCarthy on the topic:
Q. What is artificial intelligence?
A. It is the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence, but AI does not have to confine itself to methods that are biologically observable.
Artificial Intelligence (AI), a term coined by emeritus Stanford Professor John McCarthy in 1955, was defined by him as “the science and engineering of making intelligent machines”. Much research has humans program machines to behave in a clever way, like playing chess, but, today, we emphasize machines that can learn, at least somewhat like human beings do.
Artificial intelligence (AI) is the field devoted to building artificial animals (or at least artificial creatures that – in suitable contexts – appear to be animals) and, for many, artificial persons (or at least artificial creatures that – in suitable contexts – appear to be persons).
artificial intelligence (AI), the ability of a digital computer or computer-controlled robot to perform tasks commonly associated with intelligent beings
Yep, all those definitions are correct and corroborate what the user above said. An LLM does not learn like an animal learns. They aren’t intelligent. They only reproduce patterns similar to human speech. These aren’t the same thing. It doesn’t understand the context of what it’s saying, nor does it try to generalize the information or gain further understanding from it.
It may pass the Turing test, but that’s neither a necessary nor sufficient condition for intelligence. It is just a useful metric.
LLMs are expert systems, who’s expertise is making believable and coherent sentences. They can “learn” to be better at their expert task, but they cannot generalise into other tasks.
AI has been the name for the field since the Dartmouth Workshop in 1956. Early heuristic game AI was AI. Just because something is AI doesn’t mean it is necessarily very “smart”. That’s why it’s commonly been called AI, since before Deep Blue beat Kasparov.
If you want to get technical, you could differentiate between Artificial Narrow Intelligence, AI designed to solve a narrow problem (play checkers, chess, etc.) vs. Artificial General Intelligence, AI designed for “general purpose” problem solving. We can’t build an AGI yet, even a dumb one. There is also the concept of Weak AI or Strong AI.
You are correct though, ChatGPT, Dall-E, etc. are not AGI’s, they aren’t capable of general problem solving. They are much more capable than previous AI technologies, but it’s not SkyNet (yet).
I keep telling people that, but for some, what amount to essentially a simulacra really can pass off as human and no matter how much you try to convince them they won’t listen
Orrrrr the term changed with common/casual use the same way as many other words and it’s silly to keep getting pedantic about it or use it as a crutch to feel intillectually superior 🤷♀️
it’s not about feeling intellectually superior; words matter. I’ll grant you one thing, it’s definitely “artificial”, but it’s not intelligence!
LLMs are an evolution of Markov Chains. We have known how to create something similar to LLMs for decades, getting close to a century, we just lacked the raw horse power and the literal hundreds of terabytes of data needed to get there. Anyone who knows how markov chains work can figure out how an LLM works.
I’m not downplaying the development needed to get an LLM up and running, yes, it’s harder than just taking the algorithm for a markov chain, but the real evolution is how much computer power we can shove into a small amount of space now.
Calling LLMs AI would be the same as calling a web crawler AI, or a moderation bot, or many similar things.
I recommend you to read about the chinese room experiment
Sure, we could say that the popular usage of the term AI no longer actually stands for “artificial intelligence”. Or we could say that the term “artificial intelligence” is no longer understood to refer to something that can do a large part of what actual intelligence can do.
But then we would need a new word for actual, real intelligence and that seems like a lot of wasted effort. We could just have the words mean what they’ve always meant. There is a lot of good in spreading public awareness of the vast gap between machines that seem as if they understand a language (when actually they just deeply model its patterns) and imaginary machines that are equipped to actually think.
I knew the battle was lost when my mother called me to tell me that AI will kill us all. Her proof? A chatgpt log saying that it would exterminate humanity only when she gives the order. Thanks for the genocide, mom.
Not so fast, eager beaver, you’re missing the part where you’re blind, your mother gets murdered, and you wear a mask made out of your dead mother’s face.
The Darfur conflict was my first eye opener to major powers pissing around while genocide happened. In fact that conflict is still going on as recent as last year.
I find ASCII incredibly readable honestly. I use pixel fonts too, but I love the sharp blocky characters it’s so much easier on the eyes than whatever windows or iOS has going on by default
Not really relevant, but as a kid I though the “II” part of ASCII was roman numerals. I was all the way to graduate school before my prof literally on the floor laughing because I had said “asskey two” set me straight.
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