I don’t think you even need the actual stuff to train a neural network to recognize it. For example, if I wanted to train a neural network to recognize pictures of lions, but I didn’t have any actual pictures of lions, I could use pictures of lion-shaped things, lion-colored things and locations where lions might appear. If a picture is hitting all three of those, it’s very likely to be a lion. Very likely is all a neural network can do, so it’s good enough for my purposes.
It is a bad thing, it’s not like they planned it ahead of time and prepared for the consequences of population decline. The entire system is designed around a growing population and if that growth turns negative, so does the government’s budget.
I really felt like all the good stuff was only on private trackers the last few years. A few of the biggest public trackers also went down, that certainly didn’t help, but even before that I had a hard time finding some older, rarer things. If piracy gets bigger, I hope to see more reliable public trackers again with bigger catalogues.
You know that’s not how people are filling their servers, right? Plex is a way to manage and stream your pirated media collection, though Plex will never admit that.
I don’t know what the difference is between downloading and sharing libraries, but check out Soulseek. It’s a little file-sharing program that lets others download directly from your music folder and vice versa. When I couldn’t find an album on any torrent tracker, some hero on Soulseek had it. The main drawback compared to torrents is that you’re limited to the upload speed of this one person, you can’t connect to a dozen people with the same files and combine their power.
Spotify is providing a much better service than radio and it needs the internet to function, but it also isn’t as cheap as a radio broadcast. Don’t judge the entire service by the free plan, which probably shouldn’t have existed in the first place. But that’s how most services attract their users these days, just burn money until you lock in enough people to start monetizing.
I’m on a family plan with a few others and it costs a few euros a month for each of us. Lets you download music too, so cell service isn’t even required. I’ve never had an ad; people complain about sponsored recommendations, but Spotify is “pushing” tiny Japanese indie bands with less than 500 monthly listeners on me. All my Daily Mixes are similar deep cuts. I find it hard to believe anyone is sponsoring those and no way radio would ever have played any of these, unless it’s a short-distance pirate broadcaster in the home town of these indie bands.
4channel’s Technology board
https://boards.4channel.org/g/
That’s obviously way better than any TTS before it, but I still wouldn’t want to listen to it for more than a few minutes. In these two sentences I can already hear some of the “AI quirks” and the longer you listen, the more you start to notice them.
I listen to a lot of AI celeb impersonations and they all sound like the same machine with different voice synthesizers. There’s something about the prosody that gives it away, every sentence has the same generic pattern.
Humans are generally more creative, or more monotonous, but AI is in a weird inbetween space where it’s never interested and never bored, always soulless.
GOTO is the only thing that makes sense. It’s the “high-level” concepts like for-loops, functions and list comprehension that ruined programming.
series.append(series[k-1]+series[k-2]) for k in range(2,5)]
RAVINGS DREAMT UP BY THE UTTERLY DERANGED
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Yeah, the common EPS initiative (mandating USB 2.0 micro-B) was in effect since 2009. That’s right around the time smartphones were getting popular. Even my last slide phone had micro-USB. Maybe there were different models for different markets though, a product doesn’t need to follow EU law if it’s only sold in the US.
And with “this decade” you mean within the last 10 years or since 2020? Either way, I’m scared… Just kidding, if this is a bank we’re talking about, they’re actually ahead of the curve.
Available image generators are already capable of generating those images and they weren’t even trained on it. Once a neural network can detect/generate two separate concepts, it can detect/generate the overlap. It won’t be as fine-tuned obviously, but can still turn out scarily accurate.