AI attempts 1,000-piece all-white jigsaw, breaks down after 5 hours

A Titanium Media author spent 12 days completing a 1000-piece puzzle made entirely of white pieces, then handed that finished puzzle to a large model and challenged it to do the same. The experiment ran for five hours before the model fell into a breakdown, unable to complete the puzzle. Drawing on the result, the author argued that the problem is not that AI cannot solve puzzles, but that generative large models, which are good at looking at images and describing them, lack precise measurement and global constraint capabilities. In the author's view, a traditional machine vision approach would instead be feasible. The author further suggested that the experiment reflects a broader cognitive predicament of outsourcing our thinking and putting the cart before the horse. As far as the available reporting shows, the piece names no specific model, describes no details of how the experiment was run, and gives no follow-up on what happened next.