The reporting

NEWS AI Research

AI reads trout swimming to decide when to feed, but the 96.67 percent result is unreviewed

A preprint from October 1, 2026 reports that a camera-derived activity measure and a fine-tuned language model can reach 96.67 percent decision accuracy for rainbow trout feeding, up from a 33.33 percent text-only baseline. The results are the authors' own, unreviewed, and limited to one species in research settings.

• artificial intelligence
• aquaculture
• RAS
• rainbow trout
• precision feeding
• computer vision
• large language models
• LoRA
• mDPO
• preprint
• research
• food systems