Initial reviews seem remarkably positive given what we saw in the first gameplay reveal a few months ago. My impression at the time was that about half the voice actors sounded like they hadn’t been given enough context about the scenario and some of the cutscenes had questionable direction, which were bad signs for a curated ten minute slice. I still think it’s ultimately not for me—I don’t really want action combat in my Dragon Age—but I’m glad people are enjoying it.
trying to live train AI against your playstyle is both expensive and unnecessary. Hard bots have never really been too much trouble. We don’t really need to use AI to outpace humans in most games. The exceptions would be an extremely long play games like chess and go.
There’s been a lot of use in AI for platformers and stuff like trackmania, but not for competition, simply for speedruns.
It would certainly be nice to have for the fighting games I play. A few have toyed with the idea of “shadow fighters”, but it never really feels like playing against a person. It might get their habits down, but it doesn’t replicate the adaptation of facing a person and having them change how they play based on how you’re playing. If someone could crack that nut, everyone would have someone on their level to play against at any hour of the day, no matter how obscure the game is.
yeah I would like to leverage AI for stuff like RPG NPCs. instead of hearing the same filler lines for 200 hours of gameplay, barely reacting to the context of your game you could have a vibrant array of endless dialog that actually keeps up with your game progress (or lack thereof).
That would be a pretty good use. Llms are a little slow on most home hardware still. Hallucinations could also be a little scary. I wonder if that would affect your ESRB rating, That’s technically it could say anything…
The fear of hallucinations is so great for a commercial company that when square enix tried it on a remake of a detective game of theirs, it became the poster child of how awful LLMs are for videogames, it’s one of the worst rated steam games, it’s like talking to a wall because they nerfed it so hard it’s worse than a normal text parser.
Hard bots have actually been so much trouble, that literally the only way to make them hard at all is to make them cheat by allowing them to operate outside of the ruleset the player is bound by. It’s a humongous issue with every strategy game on the market.
I finished Silent Hill 2 too, the Mannequins made me jump so many times. They always seemed to appear when I least expected them to. The game created such a tense and scary atmosphere the whole way through but the prison area was by far the spookiest and of course I didn’t understand the hanging part and kept getting punished for it lol.
I also played The Last of Us Part 1 it was no where near as scary but the story was so good, I even cried a bit. I’d love more games that focused on keeping quiet, I dont think I’ve played anything with that sort of mechanic before. I really hope they port part 2 to pc soon.
I tried to play Alien Isolation but I kept getting game breaking bugs and when I finally managed to get about an hour in, there were still no aliens?? Just more bugs so I’ve given up on it and maybe I’ll try see if there are any fixes and stuff when I have more time since so many people recommend it.
Ah damn, its an issue on console too, that sucks. I wonder why there are so many recommendations when its so broken. I can’t believe its on gamepass and PS5 when it can so easily be broken in less than 5 minutes
Somehow replied to my own comment. Good thing I am actively drinking coffee. Yeah, although it makes me wonder if the game pass version isn’t basically the console version. They do some weird stuff with required windows processes.
The most advanced AI I’ve seen is in Hitman WoA, and Zelda: Breath of the Wild.
Both games don’t have “learning” AI. They just have tons of rules that the player can reasonably expect and interact with, that make them seem lifelike. If a guard sees you throw a coin twice in Hitman, he doesn’t get suspicious and investigate - he goes and picks it up just like the first one. Same for reactions to finding guns, briefcases, or your exploding rubber duck.
A little bit of emulation but mostly minecraft. Though a friendly creeper turned my hardcore world into spectator mode. I have a save that is about a day before it but I will probably delete it since I think the point of hardcore is to not save copies. Plus it was before I built the nether portal or got a mending fishing rod. I am thinking of using the beehaw seed that I discovered before to give hardcore another try.
If a game is supposed to take after earth then ofc its gonna look like earth. I don’t really see the point here. The last couple open world game I have played are cyberpunk and satisfactory so I definitely don’t see the point here.
Satisfactory is a fairly good example of it (and also a game I am obsessed with). Games differentiate areas with biomes often, but the position of biomes often follows no climate logic. Having a rainforest and high desert and boreal forest, each maybe 1km x 1km within a 5x5 km area, with stark borders between them would be utterly bizarre on earth. Satisfactory does it’s part to hide this by having such a maze like layout, broken up by the steep karst landscape, with no clear line of sight across the whole map most of the time, but a lot of games just let that be something we suspend our disbelief for in order to have more variety in the game. Satisfactory also can do some hand waving of it through the implication that it’s some sort of alien garden world as well, and might be ecologically influenced by an entity which may be pursuing variety (that said I haven’t gathered all the mercer spheres, that’s just the vibe I get fairly early in the game). The bizarreness is reduced by not having a taiga or frozen desert in that same 5km x 5km region, something some games will include so they can have a snowy place as well.
That is something I am completely happy with. I certainly can’t think of a better way to implement the biomes and variety with the restrictions of game development and scope in mind.
But my main point was that the games doesn’t feel similar just because they all have biomes, not exactly on the feasibility which can’t really be put together logically within a small limited map. There always a balance between logic, practicality and entertainment value.
I think it is funny because, in reality, these different features would not appear in the world right next to one another. This map is a dramatization of geological features with no variation or nuance that naturally occurs. But for video games, it is easier to differentiate areas with these clear geological differences so the player can be like, “Oh yes, the island town.” Or “it’s close to the mountain” It’s just an acknowlegdment if how so many video games have done the same strange thing in order to streamline gameplay.
The only issue with current systems is that the “AI” is tweaked to the specific game mechanics. You can easily enough build multiple algorithms for varying play styles and then have it adapt to counter the play style of the player. The problems is that the current way that many games are monetized is through expansions, gameplay tweaks, etc., as well as those being necessary when a game mechanic turns out to be really poorly implemented or just unpopular and the mechanics change. If the “AI” isn’t modified at the same time to rake advantage of the changes, then it becomes easy to beat. The other issue is that eventually a human can learn all of the play style algorithms and learn to counter them and then it becomes boring.
Unfortunately, generative “AI” is not a true learning model and thus not truly intelligent in any sense of the word. It requires that it is only “taught” with good information. So if it gets any data that includes even slight mistakes, it can end up making lots of those mistakes repeatedly. And if those mistakes aren’t corrected by a human, it doesn’t understand which things were mistakes and how they contributed to winning or losing. It can’t learn that they were mistakes or to not do them. It doesn’t truly understand how to decide something is wrong on its own, only that things are related and how often it should use those relationships over others. Which means manual training is required, which due to the sheer volume of information required to train a generative “AI”, is not possible in a complex game where the player has thousand of possible moves that each branch to thousands of possible combinations of moves, etc.
For most games, it's not difficult to make AI that can absolutely destroy humans. But it turns out to be very difficult to make AI that feels like a fun and engaging challenge to a human. Hardest of all is making AI that realistically plays like a human does.
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