You should declare that then, when practically the whole map is in grayscale. Some of us have piss poor vision, I’m at 20/500 vision myself, and my pupils are starting to solidify. Plus my glasses are tinted.
That’s because there aren’t a lot of electrified lines and America is pretty big. So in order to get all of America in the picture I had to zoom out but by doing that little details obviously get lost. Here is the link. This one should already be set to show electrification. With this you can zoom and look wherever you want
I think the original poster posted this intentionally as sarcasm because there is so little color in the image. If you look at the original image and look at the USA North east near new york, you’ll see a few meager lines that are various colors (as well as a few slivers in south and central america, and what looks like a dot in los Angeles). This is showcasing just how little electrified rail exists in the americas.
It may not seem like it, but it is actually in color. I’m on mobile and am able to see it. If you’re not able to, it may be an issue with your app or method of viewing the post.
That is correct, it isn’t the default view, it’s the electrification view, which OP inferred they were using (the title says electrification map). If you open the link, the orange is worldwide general rail infrastructure.
If you click the top right options button (the 3 line “hamburger” icon at the far top right, separate from the map layers), you’ll see an option for electrification. This is the map they shared.
The grayscale option actually only grayscales the territory, not the infrastructure. I hope this helps clarify the situation.
That’s kind of the point: if you zoom in on the East coast you can see some color. This just really effectively shows how little of the rail network is actually electrified.
For context, there was a post the same that said “New world train electrification in colour” with a map of the Americas that had only a tiny bit of colour
This bellend ☝️ went off on a rant about how the map wasn’t in colour, completely missing the entire point of the map lol
I’m still a bit mad about the trains in grand theft auto games. The early ones had trains you could actually properly interact with rather than them just sort of mindlessly going around the map being indestructible juggernauts.
I want to be able to derail and steal it.
There are indie games that support derailing trains, so it ain’t hard
Oh that’s really interesting; I hadn’t considered racing games as a genre to benefit from this type of machine learning. I guess I figured there’s not so much to AI there that it’s necessary, at least when we already know the “ideal lap line” for cars to follow, but yeah it gets a lot harder when considering other drivers on the track and a huge array of unique car models with their own handling and performance characteristics.
I played Forza Horizon 4 and the Drivatars are pretty convincing. They make exactly the kind of mistakes on the track that I make and they can be challenging but beatable in a way that’s much more fun than any other racing game I had played before.
For more mountainous or thick forest areas this is understandably. It required combustion engine trains, simply because of steep mountains, where it’s difficult to put down power lines or forests with a lot of trees who can easily destroy power lines. USA however is mostly flat. Looking at some like Austria or Swiss, if I see this correctly, they also are on a good way. Here we have a lot of hybrid but in general our train transport is a mess of mixed.
I don’t know what it’s using specifically under the hood, but in Street Fighter 6 Capcom recently added a new AI opponent you can fight that they say is trained on actual player ranked matches and fights more like a human opponent. You can even have it try to mimic your own playstyle if you’ve played enough.
It can do some odd things and its mimicry isn’t perfect. But it definitely doesn’t feel like the typical high difficulty CPU opponent which uses things like input reading to react faster than a real player ever could.
You can train it in mirror matches, but the V Rivals that you can fight other than your own mirror are an amalgamation of a particular rank. There’s a whole lot of skill variance in Master rank alone, so it might be good for training me against Dhalsim, because hardly anyone plays Dhalsim, so no one knows the matchup, but it won’t help me learn how to beat Punk, specifically.
Yeah, there are some disappointing limitations for sure, but it definitely is interesting, and does at least feel more like a human player than the normal CPU opponents.
The challenge is that AI for a video game (even one fixed game) is very problem specific and there’s no generalized approach/kit for developing AI for games. So while there’s research showing AI can play games, it’s involved lots of iteration and AI expertise. Thats obviously a large barrier for any video game and that doesn’t even touch the compute requirements.
There’s also the problem of making AI players fun. Too easy and they’re boring, too hard and they’re frustrating. Expert level AI can perform at expert level, which wouldn’t be fun for the average player. Striking the right difficulty balance isn’t easy or obvious.
I wouldn’t mind an AI using unorthodox strategies, but yeah that’s a good point that fine tuning it to be fun is a big challenge. Speaking of “non-player-like behavior”, I wonder if AI could be used to find multiplayer exploits sooner, though the problem there is you don’t really have much training data besides QA and playtesters before a full release.
Historically, AI has found and used exploits. Before OpenAI was known for chatgpt, they did a lot of work in reinforcement learning (often deployed in game-like scenarios). One of the more mainstream training strategies (pioneered at OpenAI) played sonic and would exploit bugs in the game, for example.
The compute used for these strategies are pretty high though. Even crafting a diamond in Minecraft can require playing for hundreds of millions of steps, and even then, AI might not constantly reach their goal. Theres still interesting work in the space, but sadly LLMs have sucked up a lot of the R&D resources.
Dunno how much you played of the franchise, but if you got stuck early on (e.g. the dreaded Marble Zone in the punishing first game), maybe you could abuse save states? The franchise got several emulated releases, and I imagine it’s not uncommon for them to allow such a function natively. And at least to me, Sonic 2 plays much better and I remember kid me finding Sonic 3 even sharper.
Iirc there are also cheat codes. I definitely remember reading about them in a magazine back then and having the best time flying around this zone as super sonic.
I remember planting so, so many rings in a single place with debug mode enabled in Sonic 2 just so I could play through each stage as Super Sonic without effort- aside from the super slippery controls.
bin.pol.social
Najstarsze