토토검증 is becoming increasingly saturated with artificial intelligence (AI), with everything from the omnipresent Cortana in Halo to the more nuanced NPCs in Detroit: Becoming Human. But video game AI doesn’t just provide enticing new virtual worlds and gameplay options—it also helps improve the overall quality of real-world AI, making it faster, smarter and more capable for us all.

The goal of many researchers today is to unite these two seemingly disparate fields—video gaming and artificial intelligence—to create a system that can learn from its gaming environment and apply it to the real world, speeding up the pace at which it can self-teach and solve problems. To do that, they’re using the structures and repetition found in video games to build AI that can better learn, problem solve and perform complex tasks, like tackling challenging algorithms or completing complicated tasks like driving autonomous cars.

Gameplay

AI can provide a wide variety of benefits for the gaming industry, from improving monetization strategies to increasing player engagement and satisfaction by creating individualized experiences. AI can monitor the difficulty level of a game and dynamically adjust it to match a player’s skill levels, keeping them engaged while ensuring that they never feel overly challenged or overwhelmed. AI can also monitor player behavior and predict what kinds of challenges or rewards they’ll enjoy, then design a bespoke experience that fits their playstyle and personality.

AI can also sift through data files and condense them without negatively impacting visuals or sound quality, saving development time that can be put toward more important elements of the game. And, with generative AI, a game can generate content for itself, from stories and music to images and videos, and even computer code—as John Hester discovered when he asked chatbot Grok to write him an entire arcade game.