Large language models (LLMs) are being connected to games to test their logic skills. These models, which can analyze text, images, and more, are known to be sensitive to how questions are asked and can be unpredictable. Games provide a visual, intuitive way to compare how a model performs and behaves. However, even the best game-playing AI systems generally don't adapt well to new environments and can't easily solve problems they haven't seen before.
Key takeaways:
- AI enthusiasts are using games to test AI models' problem-solving skills, with one example being a Pictionary-like game where one model doodles and the other guesses what the doodle represents.
- 16-year-old Adonis Singh has created a tool, Mcbench, that tests a model's ability to design structures in Minecraft, which he believes tests the models on resourcefulness and gives them more agency.
- Large Language Models (LLMs) are being used in these games to probe their logic abilities, with the aim of understanding their different "vibes" and how they perform and behave.
- While some believe games like Minecraft can measure reasoning in LLMs, others argue that even the best game-playing AI systems don't adapt well to new environments and can't easily solve problems they haven't seen before.