With the endless growth of artificial intelligence high skills, AI has learned a lot of human skills, search and play games. However, when the AI runs “Elite”, even the expanded RTX 3090 graphics card can only provide 10 frames of running speed. This effect has sparked a debate about how AI can operate at game scale.
Recently, Eloi Alonso, head of the open source project DIAMOND, revealed a video that reveals the vision of the operational nerve assembly running CS:GO’s “world model” on the RTX 3090 platform. However, the frame rate is only 10 FPS. It should be noted that this 10 FPS does not refer to the number of frames the RTX 3090 runs the game, but rather implies that the hardware is sufficient to run the model.
Of course, this effect looks really not ideal, but it also reflects the challenges AI faces at the scale of the game. AI in the game needs to handle a large number of real-time data, search for image recognition, decision attempts to draft and so on. These missions are very difficult for AI, and are supported by the need to expand the computational capabilities.
In addition, the implication of AI in games has stirred up some controversy. Some people feel that AI’s cues in games may create unfair competition for human players. However, some people feel that the operation of AI in the game can urge the growth of the game industry and bring better game experience to players.
It is worth mentioning that Nvidia has also gained some important effects in AI game scale. Their much-criticized DLSS technique, which dominates the well-practiced neural aggregation model to speed up game performance, has had a relatively successful outcome. In the future, with the inexhaustible growth of AI technology, we have the trust of provenance, and AI’s operation in the game scale will be doubled.
In general, AI learning to play games is a topic worthy of attention. Of course, AI still has some challenges in the game scale, but we also see the operational potential of AI technology in games. We look forward to the growth of AI technology in the future, bringing more possibilities to the game industry.