LLMs struggle with video games because they lack real-time reasoning

A deep dive into why large language models fail at even simple games reveals a fundamental limitation: they can't iterate and adjust strategy in real-time the way humans do. For indie devs building AI-powered games or game agents, this suggests LLMs alone won't cut it—you'll need architectures that combine language models with actual planning and feedback loops.