Noesion Radarnoesion.ai
Research2026-08-03

Intology published results for an updated version of its automated research agent Locus, reporting state-of-the-art performance on PostTrainBench, a benchmark covering seven post-training tasks in which agents are given a base model, a single H100 and a 10-hour limit. Locus with Opus 5 scored 44.7 on the composite, ahead of Claude Code (Fable 5) at 41.8, Codex (5.6 Sol Max) at 36.2 and AlphaEvolve at 19.2, with results externally verified by the PostTrainBench authors. Intology also introduced PostTrainBench+, removing the compute cap, where Locus reached 51.6% versus the human-tuned Qwen3-1.7B-Instruct checkpoint at 49.4% and the strongest baseline at 44.3%, and reported rankings stabilize only past roughly 2,000 H100-hours. Run out of the box on six live prize-money Kaggle competitions, Locus placed fourth by peak average rank among accounts entering all six, beating 89.5% of competitors on average.

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