[Day 4] I Had a Local AI Sort Through 25,000 Photos on My iPhone Intro Day 4: I'm going to hand the 25,000 photos sitting on my iPhone over to a local AI for sorting. This is experiment #4. What I'm using today: DGX Spark + CLIP (image-understanding AI from OpenAI) + Qwen2-VL (a vision-language model that can chat about images, from Alibaba). Today's setup Data : 25,382 photos and videos sitting on my iPhone (96 GB). Goal : Have AI find unnecessary photos so I can drop my phone storage subscription. Approach : Stage 1 : Quickly classify all 25K with CLIP. Stage 2 : Have Qwen2-VL (a VLM) grade CLIP's classifications. Comparison axis : Lightweight + fast classifier (CLIP) vs. heavyweight + smart conversational AI (VLM). Bottom line : Overall agreement of 84.5% when the VLM grades CLIP's classifications. People detection: 99.2% — only 59 misses out of 7,195 photos. Documents and screenshots ended up wrong about half the time.…