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Think Pokémon was a tough criterion for AI? A group of researchers claim that Super Mario Bros is even harder.
Hao EU Laboratory, California San Diego ate a research or AI Live Super Mario Brosun Games on Friday. Anthropical Clod 3.7 He did the best, followed by Clod 3.5. Google’s”s Gemini 1.5 Pro and Openai GPT-4O struggled.
Super Mario was not the same version of Bros., as the original was released in 1985. The game ran in an emulator and combined with a frame, ShippingerTo give control over Mario to Ais.
Evolving at home, the main instructions of the AI, “If a barrier or enemy is close, moving / jump” and game screen images, “AI then created entries in the form of Python code to manage Mario.
Hao still says that the game is forcing complex maneuvers and “learn” for each model to develop gameplay strategies. Interestingly, the laboratory found the main models of models such as Openai o1Although most of the monares are generally stronger, step by step on the solutions, “Think” through step-by-step problems to come to problems.
One of the main reasons, the models have difficulty playing real-time games like this, let them take a few seconds – seconds, in the opinion of researchers, decide on the actions. In Super Mario Bros, the time is everything. One second can be reliably clean the difference between a jump and means a decrease in your death.
Games have been used to Benchmark AI over decades. But Some experts doubted the wisdom Contact the EU game skills and technological progress. Unlike the real world, the games tend to be abstract and relatively simple and provide theoretical amount of information to bring up the AI.
The latest flashy gaming assessments Andrej Karpathy, called Andrej Karpaty, called the “evaluation crisis”, points to a research scientist and the founding member.
“I really don’t know what [AI] Dimensions to look at the moment, “he said X in x. “I do not know how good these models are my reaction.”
At least we can watch the AI Play Mario.
