I suggest trying Windows Subsystem for Linux. You'll get a simpler way to get familiar with the command line, which is the important part if you're interested in development.
That or dual boot, you don't need to set aside a large partition for messing around.
Decoding Brain Representations by Multimodal Learning of Neural Activity and Visual Features, DOI 10.1109/TPAMI.2020.2995909
Published in 2020 by the IEEE. https://ieeexplore.ieee.org/document/9097411
Yeah, which is a generational issue at worst. One guy in my family keeps forgetting his bags and buying new ones, but he also has a mindset where he resists change. The rest of us have gotten into the habit of remembering them, leaving a few in the car, etc.
Kids growing up after the ban are just gonna see it as normal. You go buy groceries? You bring your bags, just like you need to remember to bring your wallet.
For laymen who might not know how GANs work:
Two AI are developed at the same time. One that generates and one that discriminates. The generator creates a dataset, it gets mixed in with some real data, then that all of that gets fed into the discriminator whose job is to say "fake or not".
Both AI get better at what they do over time. This arms race creates more convincing generated data over time. You know your generator has reached peak performance when its twin discriminator has a 50/50 success rate. It's just guessing at that point.
There literally cannot be a better AI than the twin discriminator at detecting that generator's work. So anyone trying to make tools to detect chatGPT's writing is going to have a very hard time of it.
Sorry, rereading it and I think I was unclear. I'm saying that this community moved from tumblr, to twitter, and now to mastodon. I quit this community at the twitter stage when it became too detrimental to my mental health.
But this community uses moderation as one tool to enforce cliques, rather than to actually prevent abuse. Or, you could say, this community has a history of using moderation as a form of abuse.
Alongside that, this community has a history of inciting witch hunts over the most petty things. And they will be happy about what the moderators are doing within their own clique.
I remember artist tumblr in the 00's. Participated, then moved over to twitter in the 10's before I got sick of it. This looks like another continuation of that same community.
They can do what they like, but this reeks of the exact same kind of drama and mobs that, for example, drives fanartists to attempting suicide because they painted a character's skin a shade too light. (Zamii070, if you're curious.)
These sorts of communities form an echo chamber that, frankly, can be absolutely horrible for kids. Yeah, they can do what they want in their house, but I'm staying far the fuck away.
Reduce scope. Look at what you're doing and cut out all the "nice to haves" until you have just the "need to haves".
For a behindthevoiceactors clone, the bare minimum would be a simple web page with a search bar for actor names. You could use a query string in the URL that gets passed to an IMDb API call that then renders a simple page that just has the actor's name as the header and a plain table listing shows/movies/games and their role(s) and years.
Everything on top of that, pretty CSS, pictures, hyperlinks to other places, that's all fluff that you can add on after you're already "done" having created a minimum viable product. And at the nice to have stage, you can put it down at any point without feeling like it's unfinished.
I like having an off day once a week from my Vyvanse, personally. On a day off where I've got nothing important to do.
Like, I let myself have an ADHD day, where I'd normally be beating myself up over my self perception of being lazy with deadlines hanging over my head, but now it's fine because I actually got things done the other 6 days of the week.
The image in the post is of a yogi of some sort stating that electric cars are here to save the car industry first, and my impression of it is that it's suggesting that exploring the idea of electric cars is unwise.
And hell yeah, efficient transit and walkable cities are the goal. But while we're working on that goal, we should also focus on electrifying cars! Tackle the crisis in multiple ways. Because there's no way we're gonna stop using cars overnight, and if we can make cars more environmentally friendly while we taper off of them, that's a win.
Some cities, yes. LA is an example, right? And how they wrecked the street cars.
But not my city. Calgary was built as a stop on the Trans Canadian Railway, and that still exists, and there's an (okayish) light rail train system here that's slowly been built over the years and not torn down. Fully wind powered, too! Edit: our public transit kinda sucks though, I'm not saying we're great. My commute to the office would be over an hour by transit and twenty minutes by car, I'm lucky I work remote.
A majority of North American cities that have grown within the last hundred years (coinciding with cars) were built from the ground up with cars in mind as the primary form of commute.
Because as much as trains and buses are great for everyday commuter movement (and having amenities within walking distance is key as well), there's two issues:
I think you're conflating "intelligence" with "being smart".
Intelligence is more about taking in information and being able to make a decision based on that information. So yeah, automatic traffic lights are "intelligent" because they use a sensor to check for the presence of cars and "decide" when to switch the light.
Acting like some GPT is on the same level as a traffic light is silly though. On a base level, yes, it "reads" a text prompt (along with any messaging history) and decides what to write next. But that decision it's making is much more complex than "stop or go".
I don't know if this is an ADHD thing, but when I'm talking to people, sometimes I finish their sentences in my head as they're talking. Sometimes I nail it, sometimes I don't. That's essentially what chatGPT is, a sentence finisher that happened to read a huge amount of text content on the web, so it's got context for a bunch of things. It doesn't care if it's right and it doesn't look things up before it says something.
But to have a computer be able to do that at all?? That's incredible, and it took over 50 years of AI research to hit that point (yes, it's been a field in universities for a very long time, with most that time people saying it's impossible), and we only hit it because our computers got powerful enough to do it at scale.