Music. 2 years ago I started teaching myself guitar and have played almost every day since then. At the beginning of last year I added learning to sing to my routine. Next year is going to be focused on singing and playing at the same time. Eventually I’ll start writing my own music.
It’s been the best hobby I’ve ever gotten into. It’s stress relieving and makes me feel good about myaelf for accomplishing something that I thought for a long time I could never get good at. I have recordings of playing and singing throughout the last few years. When I feel discouraged or like I’ve hit a plateau, I listen back to where I was when I started and instantly appreciate how far I’ve come. I’m pretty sure at this point that music will be a lifelong pursuit for me.
I also had the alias 2. I thought I was pretty hot shit with the fancy flip-both-directions phone. And I think there was a little display on the outside too, right? With the time and some other basic notifications?
You really do have to pretend that they’re insignificant.
They’re extremely significant. Overhyped? Maybe, but extremely significant nonetheless. I think a lot of people here have gone “well, if it’s overhyped, that means it isn’t even vaguely interesting” and I think the real truth, as much as I hate centrism, is in the middle.
What one would think is ai today is not really i. Chatgpt does not understand what it’s talking about and definitively can not lead the machine uprising. Straight up neural networks maybe could, but they’d need magnitudes more computing power then we have now. We would need a new ai for it to be practical.
In my experience gpt-s are more like “what are some examples of x” then “can you solve this problem”. Because the problems are either easy to google or, for the harder problems, gpt straight up lies or rambles uselessly. A search engine helper, in a way.
I’d rather we put all those MWh into solving real problems, instead of startups. Also; Nvidia, fuck you.
I think LLM’s are on the right track, while an LLM with its current architecture likely couldn’t without a ridiculous scale, they do show signs of understanding ( businessinsider.com/chatgpt-open-ai-balancing-tas… ), pretending they are nothing more than autocompletes as the people here do is disingenuous, what it does is predict, and while that’s all it does, that’s also all that makes humans special, the human mind is an object that takes sensory input, and predicts what muscle movements would be best given the sensory input, in fact, our heavy reliance on prediction is the reason magic tricks fool us, the only way to accurately predict things is through reasoning and understanding, we don’t know what happens when we scale, and there’s a reason experts predictions of when AGI will come are getting closer and closer, right before the LLM boom the average prediction was something like 40 years (based on memory), now it’s like, 10.
I consider an LLM to be akin to what would happen if a persons thoughts were immediately transformed into words, without any layer of verification, you think plenty of wrong things, but you don’t say the wrong things you think because you have a layer of verification before speech, and it turns out, according to recent research, adding a verification layer to LLM’s is extremely potent: arxiv.org/abs/2203.14465
It seems, according to this paper, that the trick is to have an LLM generate thousands of possible outputs, and have a separate tool verify their correctness, and then only present the correct output, this could possibly solve hallucination, which is one of the biggest roadblocks to actual intelligence.
While we aren’t at true intelligence yet, we are creating the building blocks that will allow for it, and it will happen, and the experts believe it’s coming soon, LLM’s are not insignificant in terms of progress.
These are tools made of the same component parts as our brain, admittedly, it takes approximately one thousand artificial neurons to simulate a real neuron, but the fact of the matter is, our minds are quite similar to these artificial minds, the artificial minds are just much, much, much, much more simple, it turns out, intelligence is likely a matter of statistical analysis.
When you look at a coffe cup from the side, you know it has a hole in it. Because you imagine, not because it’s a reflex.
LLM is basically a point cloud of words. The training uses neural networks and thus pattern recognition. But the llm itself is closer to a database. But hey, sql is also useful for ai (data storage/retrival according to logic).
I’m not an llm expert, by far. But right now they are not much more practical then a find out a bout things helper.
Edit: I do like them. It’s been helpful a couple times and i even got gpt4all installed on my computer for fun.
When you look at a coffe cup from the side, you know it has a hole in it. Because you imagine, not because it’s a reflex.
You’re looking at this backwards, you know those things because of previous experiences, you predict this might happen due to those.
This is still a matter of prediction, and if that had never happened to you even once, I guarantee you wouldn’t look for it.
They’re also significantly smaller than our brains and multimodality has been shown to help with reasoning, so, considering they’re text only and significantly smaller than our brains, their significantly reduced functionality is to be expected. Especially when you factor in that our brain has verification layers, which have only recently been discovered to work for LLM’s, none of them even implement this yet as far as i’m aware.
Video Games. I can escape into video games from everything. They protect me when I am lonely, in pain, suicidal, desperate. I can even play video games in my mind.
There are a bajillion distros out there and you already have a lot of suggestions here, so instead, allow me to note a few things I think are handy while learning Linux.
Most Linux distros are customized versions of a few base distros. Once you learn how the base distro lays things out, that knowledge is transferable (more or less) to other distros in the same family. But solutions that work in one family of distros may not work on another!
Some common base distros:
Debian: Stability-above-all; all-rounder distro. Updates slowly, but provides a very-well-tested base that many other distros build on. Ubuntu and its derivatives are built on Debian.
Red Hat: A commercially-focused distro that I haven’t used in a looong time, so I won’t say too much about it. Slightly less popular as a desktop basis than Debian, perhaps, but also a solid all-rounder.
Arch: If computers were cars… Arch is for the Hot-Rodders. You have a ton of control to optimize and tweak Arch to precisely meet your needs. When you want to really dig into the machine and tune it to peak performance, this is where you begin. Fortunately, Arch-based distros often forego the detailed install of their parent and just provide a fast-updating, highly-tuned Linux experience. SteamOS is said to be a customized Arch.
Software installation / updating is simpler and more confusing than either the Windows or Mac worlds.
It’s very rare to have a Linux program require an installer like Windows, and it’s not as simple as drag-and-drop install like Mac. Linux has had the equivalent of “app stores” for a looong time, just minus the tracking and selling parts.
Most programs in Linux get installed via a package manager tool. There are various front ends, but under the hood, there’s usually a command line program handling installation and updates.
Generally speaking, Debians use “apt”, RedHats use “yum” and Arches use “pacman”. There are also “flatpak” and “snap” both of which are more recent managers that attempt to solve dependency hell.
The terminal is gonna come up. Love it or hate it, the terminal is still at the heart of the Linux experience. There are guis for pretty much anything you want to do, but because Linux is so highly customizable, help forums and such tend to give solutions in the one constant: bash scripts.
That said, you can get around just fine without it if you really want to. Just recognize that you might be swimming upstream at times.
You can customize anything! Your desktop environment is pretty much a given on Windows and Mac. On Linux you can install something comfy, like Gnome (customizable, lightweight, akin to Mac UI) or KDE (less customizable, very pretty Windows-style UI).
Or try something experimental like Ratpoison - a window manager that requires no mouse inputs!
Part of the fun of Linux is trying out alternatives and truly customizing your personal computer.
Thai yellow curry. It BANGS. I’ll always forget when our family next orders Thai, and one particular person will always get yellow curry, and I always think “I remember thinking that was okay” and so I try a bit of theirs and it always tastes 10x better than I remembered it. Amazing every time.
White bread. Bland enough to avoid eating aversions and puts some energy in you. Plus, most people already have some! Not claiming it’s healthy, but when I’m sick and the thought of eating makes me want to puke it manages to slip past my radar.
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