you kinda already can, it generates decent code thats probably less buggy than your average game dev

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I mean a complete game just like how Bluewillow works creating an image out of text.

I think the general approach of roguelike games can work. Use it to generate level design. Place on the level playable characters based on selected genre. Use AI to generate models and music to make it fresh. Use AI to write dialogue of NPC.

I think such modular roguelike with selectable genre is possible.

Username checks out.

It's easy to write one file without bug. It's harder when there are 10 000 of them interacting and being maintained for years.

No it doesn't.

it can, simple games like pong. from scratch.

Pretty sure he means big aaa type games

But... but... AI is gonna take our joerbs

Look up the "Wave Function Collapse Algorithm". We've been using AI (more accurately machine learning) for a long time to quickly build highly complex game worlds.

While not exactly what you are asking about, it is definitely going to make its way into gaming. There's a demo using AI to make some pretty good generative dialog.

https://www.youtube.com/watch?v=DnF4WzM5LPU

Err.. for one it often steals code, but always snippets. And usually it doesn't work. We've got plenty of bad code it's generated in the programming humour subreddit.

Wave function collapse has nothing to do with ai. Its just a way to generate stuff procedurally.

Hi, 2farzzz. Thanks for contributing. However, your submission was removed from /r/Futurology.

> > With such development in the field of AI will it be possible that we will be able to create game using something like chatGPT.

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WFCA is at the core of alot of ML approaches to synthesize effective NLP in chat AI.

Ok i have to admit im not exactly well informed when it comes to the inner working of ai. However saying that because we are using wfca for procedual generation and because ai uses wfca means that ai is already used to generate games is a bit of a stretch.

AI and wfca are sometimes used in tandem to build realistic conversations. For example, a trained Chat AI can produce a reasonable statement like "The sky is blue. People have blue eyes. Therefore people's eyes are the sky." It's a pretty lackluster line of logic a trained AI proposes but a series of probabilistic adjacency rules such as just one that says "Human anatomy and weather are mutually exclusive" or something to that effect can dramatically clean up the output given by the AI. If you know anything about wfca, this is exactly how the algorithm works where a set of adjacency rules control the final output based on what already exists. Hopefully that clears it up a bit.

TLDR; AI is often very far from perfect. Algorithms like wfca can help get it quite a bit closer.