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Claude Plays Pokémon

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21–28 of 28 posts

Re: Claude Plays Pokémon

#21
post #18
post #3

This is truly tremendous to watch. Eleven years from TPP, and we're watching the current best-in-class AI try its best at the same. Who'll get there first, the historical gestalt of Twitch users or the just-shy-of-10^26 FLOPS [0] AI model? Now here's a concept for anyone with more money than sense: ClaudePlaysTwitchPlaysPokemon, where it's TPP but every participant is Claude. Would hivemind AI consensus perform bette…

Or the converse, feed all of twitch chat to Claude and see if it can output the correct button presses.

You'd have to feed it all of Twitch chat correlated to whatever frame was being streamed at the time and adjusted for network jitter and buffering.

Good luck

Re: Claude Plays Pokémon

#22

This is neat but watching a reasoning model that stops to consider "I have read half of a dialogue block, time to press A to get the rest of the text" gets old really quick. I think I'd rather watch a model try to play pokemon against human opponents on a simulator like pokemon showdown (which I understand is a bit further in an IP rights grey area than emulating a 30 year old game). In that case you would get to see…

> which I understand is a bit further in an IP rights grey area than emulating a 30 year old game

But Nintendo will never take down anything that is related to Showdown because it would highlight their massive hypocrisy!

It would set a precedent. People would go: "wait, but why did they never take down Showdown itself? Could it be that it's because they actually benefit from its existence? Then why did they take down X/Y/Z? Oh! It's because copyright law only applies when you want it to! It's all arbitrary and made up! You just need to be friends with the right people in the VGC and your pet project will be immune from all legal backlash!"

Or something.

Seriously I hate it so fucking much that Nintendo does nothing about Showdown, which blatantly steals a ton of game assets, and then nukes some random guy's fan project that no one ever played.

Re: Claude Plays Pokémon

#23
Watching the moment to moment is pretty boring, but it might be interesting if someone puts together highlights of interesting events and moments. The screenshot where Claude asks for the game to restart is absolutely charming.

Re: Claude Plays Pokémon

#24
post #20
post #16

Earlier quoted context omitted.

I think the “wa” prefix means “bad” in Japan

There's a bit of a... pun(?) in there with its apparent origin as a name in Waluigi: The word is "waru" (noun) or "warui" (adjective), and with the "l" / "r" thing with Japanese pronunciation, "warui" and "luigi" combine really well. Granted Wario was first in that franchise.

Correct. Another pun is that "ruigi" (類義) means "similar".

Re: Claude Plays Pokémon

#25
post #3

This is truly tremendous to watch. Eleven years from TPP, and we're watching the current best-in-class AI try its best at the same. Who'll get there first, the historical gestalt of Twitch users or the just-shy-of-10^26 FLOPS [0] AI model? Now here's a concept for anyone with more money than sense: ClaudePlaysTwitchPlaysPokemon, where it's TPP but every participant is Claude. Would hivemind AI consensus perform bette…

A few years ago there was another AI that tried to beat Pokemon. It wasn't a LLM. I think it was an LSTM trained with reinforcement learning. It got stuck in Mt Moon.

Right now, Claude has been stuck in Mt Moon for nearly a day. It keeps forgetting where it has been. It also almost always runs from battles instead of changing Pokemon or fighting.

At one point it got stuck in a Pokemon center when it mistook the character's red hat for the red carpet around the exit. It kept pressing down and wondering why it wasn't working. It only broke out of that when it mistakenly concluded it had successfully exited the Pokemon center. Then it wandered around a bit and only realized it was still in the Pokemon center after talking to Nurse Joy.

Re: Claude Plays Pokémon

#26
post #25
post #3

This is truly tremendous to watch. Eleven years from TPP, and we're watching the current best-in-class AI try its best at the same. Who'll get there first, the historical gestalt of Twitch users or the just-shy-of-10^26 FLOPS [0] AI model? Now here's a concept for anyone with more money than sense: ClaudePlaysTwitchPlaysPokemon, where it's TPP but every participant is Claude. Would hivemind AI consensus perform bette…

A few years ago there was another AI that tried to beat Pokemon. It wasn't a LLM. I think it was an LSTM trained with reinforcement learning. It got stuck in Mt Moon. Right now, Claude has been stuck in Mt Moon for nearly a day. It keeps forgetting where it has been. It also almost always runs from battles instead of changing Pokemon or fighting. At one point it got stuck in a Pokemon center when it mistook the chara…

You're thinking of https://www.youtube.com/watch?v=DcYLT37ImBY and https://github.com/PWhiddy/PokemonRedExperiments.

> It also almost always runs from battles instead of changing Pokemon or fighting.

I believe this is because all of its Pokemon are on the verge of fainting, so it's trying to conserve them while it tries to find its way out.

> It keeps forgetting where it has been.

I'm wondering if this could be solved with a better harness; on one hand, that hurts the elegance of having one model dedicated to playing the game, but their existing harness is already cheating a little (they have a second LLM for verification). They're frequently compacting what's in context, which means its visual memory is quite poor - that could potentially be a point of improvement?

Re: Claude Plays Pokémon

#27
This would be a really cool category of speed-running. "How fast can a model beat a game that it's never played before?"

First get the model to beat a game, then work on better decision-making, then try to speed up the decision-making. Then repeat when better models come out.

Re: Claude Plays Pokémon

#28
I can't look at the current state of this and without wondering if it's tokenizer-dyslexia. I wonder if AI performance growth has been borrowed from overfitting and pruning the tokenizer of invalid sequences and leakage the entire corpus, a cardinal sin of making valid predictions.
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