Libya also has its own esports federation. — © AFP
This is the Cambrian explosion of AI. Probably anything can happen. Maybe there is something practical. AI is a natural asset for game design. The processing power alone makes it a must-have.We have a lot AI game design generator already. The generators were up and running effectively overnight. They already have commercial efforts.
These include: A wide range of image options, character assets, This is a particularly useful (and invaluable) adjustment option for designers. It’s pretty amazing how much time and anxiety it saves designers.
The next question is how far AI can go in game design. The AI “seeds” are already learning how to play by watching games online. This is in some ways a better learning environment than large-scale language models (LLMs). The practical elements of gameplay speak volumes and can be directly interpreted through play.
A little backstory is required. Gaming has come a long way since Pong. Real-time gameplay technology is no longer in the womb. He’s a pretty healthy kid. The next techno child will probably be general artificial intelligence, (AGI) will soon flourish in the gaming industry.
However, this is a true quantum leap in many ways. The technology is not ready for use or fully understood, even by its proponents. AI routinely causes glitches and untold problems. The new chip is not ready yet. This is actually a term that describes what AI “should” be, rather than what it currently is.
However, it is just a pamphlet. The realities of game design from inception to playable game are harsh, some might even say harsh. Also, remember that much of this work takes place in the most creative and understanding place – in the hierarchical culture of a company.
The backend of game design includes not only the actual game, but also really intricate details, detailed options, and core marketing features. The game mechanics alone can be demanding. Games like Warhammer didn’t come out of nowhere.
It’s easy to sit on the other side of the screen and complain about things that aren’t working. The complaints are well justified, but with one or more caveats.
One of the main reasons for malfunctions is feature size and software issues. MMOs aren’t simple. It requires a large amount of assets to run. Player vs. player games require more backend than the seemingly simple gameplay suggests.
This leads to inevitable problems for the gaming industry as a whole. Can AI design and develop high-quality games on its own?
In theory, it’s definitely possible. It has raw speed and capacity. There is no problem writing software in any language.
(Why did Software LLM cross the road? It was inevitable, but it’s very, very unfortunate.)
The next question is a little more difficult – should Will AI design and develop games? The short answer is yes. There’s a good reason for that.
This field is by no means error-free. The constant complaints and complaints about the game are fundamentally based on one issue: the quality of performance. Things aren’t progressing. Things are not saved. Giant companies have no trouble solving problems. During basic execution, something obviously obvious and ridiculous happens.
There are a lot of revisions and they can be expensive. The time factor for fixing things can range from embarrassing to obscene. AI is the obvious fixer and quality monitor.
It can be used at all stages of testing, including the ‘gamma test’ which is the final filter quality control of the final product before release. This can include security, malware protection, and just about anything you need to know to be 100% okay.
The problem with all of this is that it makes a lot of sense. There’s no reason the dumbest publisher wouldn’t use it. The ability of AI to learn has not yet been defined. These features alone are actually worth a lot of money and are worth a lot of new intellectual property (IP) that can save you a lot of valuable time.
By the way, AI-generated images “may not be copyrightable,” but does anyone really believe that an entire image in a game isn’t intellectual property? Don’t do it.
AI is also a classic case of learning by doing. Find and quantify problems with almost calculator-level definitions. You can also identify your own mistakes, which humans are not so famous for making.
In my opinion, if something makes available so many useful baseline options, you should consider it. Ironically, for designers, it may also help them maintain artistic and creative independence. All these IPs are properly visible and protected with AI support.
Training AI how to file applications with the U.S. Patent Office could provide a more efficient way to manage IP. This includes trademarks and individual IP elements, all done quickly. Not bad value for a few clicks.
At the moment, with so much hype and not enough solid results, the future of AI looks uncertain. By freeing this new horse from cliché, games and gamers can benefit a lot.
When you combine human creativity with AI, there’s no going back.