Despite their ability to generate text with unparalleled verbosity, large language models, for reasons unknown, struggle to grasp the complexities of virtual hopping and object collection. Experts suggest that the nuanced skillset required for these digital tasks, such as pressing buttons at the right time, may be beyond the reach of current AI capabilities. "Our models excel at understanding text but ask them to jump on a turtle and suddenly they're at a loss," confessed Dr. Ima Geniouz, esteemed AI specialist and gaming aficionado. Some researchers point out that AI's inability to engage with video games effectively is not a flaw but rather a design choice aimed at ensuring neural network self-respect. Bill Botsman, a self-proclaimed AI evangelist, enthusiastically announced, "What they lack in gaming precision, they more than make up for in raw non-participation power! Who needs hand-eye coordination when you can write a single-player fan fiction about Luigi's existential crisis?" As AI continues onward on its virtuous path to avoiding video game prowess, developers worldwide breathe a sigh of relief knowing human gamers maintain a competitive edge. It is comforting, of course, to know that while LLMs might struggle with games, they excel at obscure poetry and misinterpreting Shakespeare.
// LLM_GAMING_GENIUS
Large Language Models Dominate Gaming by Avoiding It Entirely
In a groundbreaking display of strategic ineptitude, large language models have proven astonishingly ineffective at playing video games. This revelation has sent shockwaves of mild surprise through the tech community.
FACT_CHECK Large language models are not proficient at playing video games, as observed by AI researcher Julian Togelius on the IEEE Spectrum. → original source
