…why? What’s the point?
this post was submitted on 22 Dec 2025
158 points (91.1% liked)
Technology
77925 readers
2695 users here now
This is a most excellent place for technology news and articles.
Our Rules
- Follow the lemmy.world rules.
- Only tech related news or articles.
- Be excellent to each other!
- Mod approved content bots can post up to 10 articles per day.
- Threads asking for personal tech support may be deleted.
- Politics threads may be removed.
- No memes allowed as posts, OK to post as comments.
- Only approved bots from the list below, this includes using AI responses and summaries. To ask if your bot can be added please contact a mod.
- Check for duplicates before posting, duplicates may be removed
- Accounts 7 days and younger will have their posts automatically removed.
Approved Bots
founded 2 years ago
MODERATORS
Soylent green I guess. No money, no fun, no job. You're free to die.
Oh yeah? Go beat Talos Principle then.
I see what you did there.
Zzzt!
Finally I will get through my Steam queue!
FYI: Stuff like this is for automated testing, not "playing games for you" 🤣
Also, I won't consider it realistic until it can type out, "lol git gud scrub" after ganking someone who just spawned.
Makes sense. Upscaling and video interpolation instead of optimisation. Image generation instead of artists. Now this instead of actual testing.
The 💩💩💩 gaming industry is going to somehow get even worse.
This seems like a very good use of the tech. Fuzzy testing is difficult to do, and it's all about scale
This is all on the assumption it’ll work and be useful. The track record so far is underwhelming.
Good games are orthogonal to AI usage. It's possible to have a great game that was written with AI using AI-generated assets. Just as much as it's possible to have a shitty one.
If AI makes creating games easier, we're likely to see 1000 shitty games for every good one. But at the same time we're also likely to see successful games made by people who had great ideas but never had the capital or skills to bring them to life before.
I can't predict the future of AI but it's easy to imagine a state where everyone has the power to make a game for basically no cost. Good or bad, that's where we're heading.
If making great games doesn't require a shitton of capital, the ones who are most likely to suffer are the rich AAA game studios. Basically, the capitalists. Because when capital isn't necessary to get something done anymore, capital becomes less useful.
Effort builds skill but it does not build quality. You could put in a ton of effort and still fail or just make something terrible. What breeds success is iteration (and luck). Because AI makes iteration faster and easier, it's likely we're going to see a lot of great things created using it.
The capitalists will control access to the AI and compute resources, which will be the means of production in this new world.
load more comments
(1 replies)
The ultimate conclusion to cheating in video games is literally just having the robot play them for you
Something is just wrong with their brains which allows them to derive pleasure from antisocial activity 🤷♀️
Botting just got a whole lot easier - now old bitcoin farmers can go back to currency farming in games. At least in game currency prices will drop.
Mom, I want an aim bot!
But we have aim bots at home.
The aim bots at home.
Great,
And I’m guessing like all gen AI, it would be mediocre at best and never reach the top players.
Now all they need is a way to turn mediocre gameplay into money, surely that part would be easy
Also, I don’t think they could use it for testing as there could be plenty of false positive or negatives.
It’s already been a few years, before the LLM boom, but a neural networked figured out how to play Super Mario Bros by simply looking at the RAM and it mastered the game.
But that’s cheating no? The challenge is playing the game using user input with all the delays and extra steps that can happen along the way.
Also, optimizing a neural network for just one narrow use case is not what’s being discussed here.
ML is very, very good at narrow use cases, same with other tools of automation going back a century, they are talking about generic all purpose ML
Of course it‘s „cheating“, this was a fun research project that came to mind.
Racing games too, especially single player races.
If conditions are the same every run, it will eventually find the mathematically fastest way. I saw a video about a guy doing it, and after thousands of runs the bot noticed a glitch if the car wasn't on four wheels allowing it to move insanely fast. Like grinding a rail in Tony Hawk, the bot would immediately do it, and run the entire course on the glitch.
That's not human intelligence tho, that's the same as when a slime mold can design a transportation network as effectively as we can.
Ton of dead multiplayer games that don't have bots
This might be a legitimate use case... maybe. Depends on if it can learn games similar enough to humans. Which i doubt. Might be better to just code bot mods but idk, ai-players would be kinda cool. How long before we have to guess if a player is human, cheating, or a bot though?
I guess you answered it yourself, for testing.