A novel challenge centered around creating a kaleidoscope model using HTML is highlighting weaknesses in the reasoning capabilities of even the most advanced AI systems. Leading models, including Grok 4, Gemini 2.5 Pro, Claude 4 Sonnet, ChatGPT 5, and Copilot, demonstrated difficulty maintaining consistent logic when faced with multiple interacting variables in the kaleidoscope task. This suggests that current AI architectures may have a ‘blind spot,’ struggling with seemingly simple, invariant-driven problems despite their proven ability to handle massive datasets and complex calculations. The discussion originated on the r/artificial intelligence subreddit, sparking debate about the nature of AI reasoning. (Reddit discussion: https://old.reddit.com/r/artificial/comments/1nf6f9x/kaleidoscopes_the_new_bouncing_ball_in_a_rotating/)
AI Models Stumble on Kaleidoscope Logic Puzzle, Revealing Reasoning Gaps
