The reporting

4 articles

Topic: large language models

A rainbow trout swimming underwater, photographed at Gavins Point National Fish Hatchery in Yankton, South Dakota.

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.

A hidden Markov model diagram with three hidden states labeled A, B and C, transition probabilities, and arrows leading to two observed nodes labeled X and Y.

ANALYSIS ARTIFICIAL INTELLIGENCE

Belief-State Engine Separates Uncertainty Tracking From LLM Decisions

An external Bayesian filter gives an LLM a compact posterior instead of a growing history, but the first experiments are small and incomplete.

Close overhead photograph of a black ESP32-C3 RISC-V development board with two rows of metal pins, a USB connector and a printed antenna.

ANALYSIS ARTIFICIAL INTELLIGENCE

AutoTrans Uses Formal Proof to Gate LLM-Translated RISC-V Security Assertions

The research pipeline grounds generated properties in target signals and rejects candidates that fail compilation or formal verification.

Three white circles numbered 1, 2 and 3 connected by four black directional arrows.

NEWS AI

Codebook Agent Moves Multi-Agent Topology Search Out of the Critical Path

A preprint reports faster per-query topology selection and lower token use by learning reusable communication patterns from prior executions.