Automated System Locus Sets New Post-Training Records
The automated AI research system Locus consumed thousands of H100 hours to achieve SOTA on PostTrainBench, outperforming manually tuned Qwen3. It also ranked highly in public Kaggle competitions, demonstrating strong automated ML capabilities.
2026-08-04 ~ 2026-08-04 · 4 related posts
- Locus says its automated post-training system beats human-tuned Qwen3 with thousands of H100 hours — _akhaliq · 2026-08-04
- Locus ranks 4th on average across six Kaggle competitions — mariofilhoml · 2026-08-04
- Locus says it beat most human teams across live public ML competitions — rohanpaul_ai · 2026-08-04
- Locus tops PostTrainBench, saying automated post-training beats human-tuned Qwen3 — dair_ai · 2026-08-04