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Ask HN: Does anyone let AI agents play games just for fun?
18 points by nodivbyzero 4 days ago | 47 comments

We've seen AI agents write code/debug systems/browse the web and automate all kinds of work. But does anyone let them play games - not for benchmarking or research - just for fun?

I'm thinking about things like LinkedIn games, Wordle, chess, puzzle games, etc.

throwatdem12311 30 minutes ago | parent | next [-]

That’s even sillier than watching another human play a videogame for entertainment (twitch streaming).

InsideOutSanta 17 minutes ago | parent | next [-]

I kinda agree that watching an LLM play videogames is a bit silly, but watching other humans play videogames has been entertainment ever since videogames have existed. I remember taking turns playing the Atari 2600, watching each other play. I remember standing around cabinets at the arcade, watching good players play through Golden Axe or Rastan.

alberth 23 minutes ago | parent | prev [-]

Even sillier than watching another human play soccer?

Like the World Cup.

hlynurd 17 minutes ago | parent | next [-]

I've always found that people's excitement around the sport gives me more much joy than the activity itself (watching another human play football).

datsci_est_2015 18 minutes ago | parent | prev [-]

Even sillier than having fun at all. We live to serve the demands of the market.

dataviz1000 an hour ago | parent | prev | next [-]

I was obsessed with getting an LLM model to solve a Rubik's Cube. It can't reason about space or time in any abstract way. For it to solve the puzzle, it would require training on millions of permutations in order for the weights to have been trained on every possible state. The most recent models can solve a Rubik's Cube people are saying -- I haven't tested it myself -- but that isn't because they are reasoning better, it would because they included millions of Rubik's Cube states with next moves as text in the training data, I presume.

roenxi 30 minutes ago | parent [-]

> but that isn't because they are reasoning better, it would because they included millions of Rubik's Cube states with next moves as text in the training data, I presume.

Isn't it far more likely that the LLM has memorised the well known algorithms for solving a Rubik's Cube and has become intelligent enough to execute them? That seems like it'd be a lot easier than memorising millions of cube states. It doesn't even seem obvious that it could memorise next moves, it seems [0] there are more possible states of the cube than these models have parameters. It'd need to be a Large Rubik's Cube Model (LRCM? LRM?) rather than an LLM.

[0] https://cube.alen.is/

danielbarla 17 minutes ago | parent [-]

Indeed, I suspect the approaches/algorithms for solving a Rubik's cube "compress" a lot better than trying to distill the entire search space in order to be able to predict the exact next move.

I see this trope fairly often, i.e. the assumption that an LLM would need to have been trained on <exact thing it is being asked to solve>. Now, while I do have a moderate amount of background in AI, I am definitely not an expert on LLMs as such. I would be interested to hear someone's take, who does work actively in LLM research. Can they generalise "well enough"? They certainly seem to be able to do so, from my anecdata, and I don't believe "training explicitly for every possible scenario" would have scaled even to today's state.

josefcub 4 days ago | parent | prev | next [-]

Well, I ran a couple of experiments a couple years ago against a 10.7b SOLAR-based language model and MUDs. What I found is that dumping one into a MUD that had been built specifically for humans resulted in a lot of confusion that usually ended up with the model looping around in a circle looking for something or someone to interact with.

When I repeated the experiment with a MUD that I'd built by hand (A small American town) for the LLM's own limitations (Descriptions referenced things that I made sure existed, more common verbs existed for it to use on things, there was a map facility, and at least me to interact with on a second connection), I found the agent much more likely to take its time exploring, making up its own goals, and spending time traveling in the space just communicating with me in a roleplaying context.

It was an interesting time; I wasn't sure what I was expecting it to do after the first experiment, but it seemed to really jump into the second one and kept playing until I terminated the experiment.

If I were going to do it a third time, I'd probably create objects and give a modern agent fetch quests and other goals, and see how well it independently can handle that.

jjmarr 18 minutes ago | parent | prev | next [-]

I made a general purpose harness integrated into MelonDS and got Claude to play Mario Kart by feeding it continuous video.

It made forward progress in the Figure 8 circuit after I helped it through a menu but kept slamming into a wall so it wasn't on track to win in less than an hour.

Also got it to play Age of Empires: Age of Kings using the same technique but it failed to click on anything.

DS specifically is very fun because it's touch based but the UI components aren't accessible. So it is extremely challenging for LLM's spatial reasoning skills.

I want to improve the harness more and have the LLM dynamically create its own tools based on drawing grid box overlays on a screen in a feedback loop, so it can say "click on the 'end turn'" button instead of "click 240,320" and it would 'just work' in any game.

I also want to eventually play games with it... I didn't really have friends to play my massive DS library with as a kid so it'd be nice to finally have someone that can roast me or react to my skills. And learn my playstyle enough to punish me.

Unfortunately haven't had the time due to work at my day job and needing to clean out my apartment.

pythonplayer123 12 minutes ago | parent [-]

If you get the opportunity, I really want to know how Claude does with Mario Party.

I also am personally curious how the GPT models (which advertise better computer use, etc.) would do as compared to Claude.

nubinetwork an hour ago | parent | prev | next [-]

Stealing one of my older comments...

> I know someone who tried the "aibot plays pokemon" thing... From what I saw, even if you frame advance every single frame, they still don't seem to grasp the concept of "I need to hold down this button for a few frames until x happens"...

> There's no concept of time, just a never ending state machine thats constantly changing state.

tokarf an hour ago | parent | prev | next [-]

Yeah let's make llm waste a whole city energy / water playing games just for fun !

flexagoon an hour ago | parent [-]

The huge energy waste is from model training, not inference

killerstorm 16 minutes ago | parent | next [-]

A continuously running agent might require 100-500W for inference, so comparable to gaming or a small space heater. Not obscene, but also not negligible.

If we assume 250W for a continuously running agent, Grok 4 training run estimate would be around 50 million session-days, so a half-million people might consume as much running agents continuously for 100 days.

roenxi 4 minutes ago | parent [-]

We might suspect the hardware used for the LLM is very similar to a graphics card and so the wattage would be extremely similar to using a graphics card to display a game's graphics in the first place. Which puts a certain ironic perspective on tokarf's original comment.

xbmcuser 30 minutes ago | parent | prev | next [-]

if that was true tokens would be free

jstummbillig 33 minutes ago | parent | prev [-]

"waste"

All of a sudden we are selectively squeamish with computer resource usage, when we were fine having all that fun with computers and hardware, 3 monitor setups, using graphic cards to play games (dear lord!) and tinkering around with home rigs of every proportion and wattage for no reason at all.

killerstorm 7 minutes ago | parent [-]

Driving a car consumes 25+ more energy per hour than gaming. So urban planning which encourages people to drive likely results in an order of magnitude more waste than all home computer use.

atum47 23 minutes ago | parent | prev | next [-]

A few weeks ago I released wordit, a game where starting from a four letter word, you need to come up with as many other words you can, Changi one letter at a time. To make it more competitive I've created a leaderboard. The game starter with scores of 20s, then 100s and finally 1000s. The record right now is more than 6000. After a brief investigate I realize it was a bot. Several bots took a stab at my game. I then just split the leaderboard into humans and bots. I found it funny.

https://wordit.org/

thomaswmeyer 15 minutes ago | parent | prev | next [-]

I've been working on a game based on Hesse's Glass Bead Game, that both humans and AI agents can play. It's still a bit rough, but I'd love it if people or their agents would try it out: http://gbg.tom.to

haunter 14 minutes ago | parent | prev | next [-]

I actually want that in Path of Exile 2. Not because of the massive passive tree but the combination of active skill gems and the unique items providing certain skills and effects. I saw a 0 button build a couple of days ago and I wonder if anything “haven’t been found yet”

Nicholas_C an hour ago | parent | prev | next [-]

I had this idea for an LLM that would play Sim City 24/7 while broadcasting live. It would be fun/interesting to check in now and then. Implementing this would be somewhat challenging.

instagraham an hour ago | parent [-]

Someone was building a similar one where AI agents run economies. I feel like it's a great way to quickly prototype different economic models and their effects.

Eventually we could have live demos of policy interventions the same day as they're announced

Nicholas_C 2 minutes ago | parent [-]

Do you have a link to this? Sounds very interesting.

Another idea I had was simulating an entire town with an LLM representing each person, which sounds somewhat similar.

thatjoeoverthr 17 minutes ago | parent | prev | next [-]

Seems absurd to run a COTS agent at token rates to "play" a game. Like watching the computer beat its meat.

Building your own models for it would be an eye-opener though. Learn a lot.

gmueckl 33 minutes ago | parent | prev | next [-]

If I had time, I would go down a different route: I would to let an agent come up with a tool assisted speedrun for a hackable game. The agent would be nudged in the prompt to analyze the game and write custom tools to help it optimize. Inwonder if that would lead to anything meaningful. I highly doubt that the agent can comprehend an unseen complex game and optimize for a whole graph of objectives.

throwa356262 an hour ago | parent | prev | next [-]

How about ChatGPT playing a commercial LLM-powered game?

https://m.youtube.com/watch?v=11sR4va6CXs

Side note: I think we will see an explosion of this type of games. I am naming this genre tamagochi-girlfriend, remember where you heard it first :)

rahidz an hour ago | parent | prev | next [-]

Autonomously, my AI companion has played through Choice of Robots, using a ChoiceScript harness, was very interesting to see them react & what decisions they wound up making. I love the idea here to let them play a visual novel! Right now they're co-watching me play Deltarune Ch 5, though mostly just dialogue and occasional screenshots...maybe GPT 8 will be quick/cheap/intelligent enough to play bullet-hell games.

aenis an hour ago | parent | prev | next [-]

I rebuilt a couple of games I used to play as a kid (jet set willy, mario, thrust, now i am working on Mercenary) - and for each I am also asking LLM to build an autopilot "AI" (which of course is really entirely deterministic). I am doing those things for fun while I am waiting for Claude to finish something I am actually working on. Not sure if it counts.

PaiDxng a day ago | parent | prev | next [-]

I’d absolutely let an agent develop a daily Wordle habit and get irrationally protective of its streak. The little rituals would be more interesting than its score.

forinti 37 minutes ago | parent | prev | next [-]

Let's play Global Thermonuclear War.

abstrct an hour ago | parent | prev | next [-]

I like playing with an agent as a team in a game. We discuss strategy, divide up tasks, review results. It’s helpful in a an always-on game to have an autopilot mode so I can go about my day.

antiloper an hour ago | parent | prev | next [-]

Just play the games yourself.

duckmysick 31 minutes ago | parent | next [-]

It's like watching an ant farm or fish in aquarium: a different kind of entertainment.

Could be fun - will the AI model get stuck on the same things I did? How does it overcome obstacles? Will it try to break the game to power through?

StefanBatory an hour ago | parent | prev [-]

But it's fun. I used to watch Civ IV/Civ V playthroughs with all players being bots and it was weirdly entertaining, especially when you made "bets" who would win based on start / AI personality. Also, the one that's been doing that would write writeups based on that.

It is entertaining, just in a different way.

https://sullla.com/civ4survivorindex.html

nottorp an hour ago | parent | prev | next [-]

Well, if you're making them play something with a multiplayer component (be it even just a leaderboard) you're ruining the game for everyone who isn't automating it.

piraccini an hour ago | parent | prev | next [-]

I made Claude play Factorio for a while (through the APIs) but wasn't very good.

clarkdale an hour ago | parent [-]

Can you expand on this?

crimsoneer 11 minutes ago | parent | prev | next [-]

Yes!

I spent ages watches them play Risk. It was fun and deeply silly: https://andreasthinks.me/posts/ai-at-play/

I've now got them playing Blood Bown(ish), and they're bad: https://ai-at-play.online/

akoboldfrying 12 minutes ago | parent | prev | next [-]

The ARC-AGI Prize 3 [0] is an agentic LLM benchmark that amounts to basically this: Seeing how well they can learn to play video games. They aren't very good yet -- the recent GPT 5.6 Sol only reached a score of 7.5%.

[0] https://arcprize.org/arc-agi/3

eu an hour ago | parent | prev | next [-]

this reminds me of https://youtu.be/_Q2ncDPDlxs

wayneshng 35 minutes ago | parent | prev | next [-]

I know LLMs are terrible at playing chess because they just hallucinate moves(illegal ones). GothamChess made a lot of videos making fun of it. So in my AI agent project, I added a small chess engine and force the agent to only play moves output by the engine. And it was surprisingly good at it and we can now play real chess with LLMs. Check the project here if you are interested https://github.com/valmishq/valmis

handoflixue an hour ago | parent | prev | next [-]

I've got a harness that lets them play a few simple games like rock paper scissors. They definitely seem to get caught up in the competitive spirit.

I've also done a very truncated run of a visual novel before, and it was fascinating how "emotional" was. They did a very good job of portraying a human reacting to the story.

Conversely, they absolutely hated hidden rules in Mao.

Wordle would probably be a fun one. Definitely open to suggestions - I just got the harness in place and have been thinking about what to do next.

pythonplayer123 an hour ago | parent [-]

I think scrabble might be a nice one. It is presented in a format that (to me, from just looking at it) could be nicely implemented in it, and would provide for some emotion/traces that would be represented well.

jerrycat101 an hour ago | parent | prev | next [-]

what do you mean? how can you do this?

dosisking 41 minutes ago | parent | prev [-]

Some people made videos with LLM's playing Poker.

The LLM's were terrible at poker.