Building a Banana Sorter AI Machine

The author tests four vision models (Qwen2.5-VL 3B, Gemma 3 4B, Liquid d1-2B, and gpt-6.1-sol) on five banana images to decide BASKET or TRASH over 100 runs each. The smaller offline models trashed any banana with a black dot, while the frontier model sometimes trashed the heavily spotted banana (16% at low reasoning, 38% at high) and Liquid d1 gave probabilistic answers. The author concludes he would not trust a high-end model with a critical decision and that designing a real banana sorter is more nuanced.