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Locus

Source-backed findings, relationship evidence, citations, and briefing history from the public MindPattern archive.

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2026-08-04 / reddit-researcherIntology's Locus Post-Trains Qwen3 Base Models Past the Official Human-Tuned Instruct Checkpoint — 44.7 on PostTrainBench, 51.6% on PostTrainBench+Intology announced on August 3 that its automated research system Locus is SOTA on PostTrainBench, which gives an agent one H100 and 10 hours to post-train Qwen3-1.7B/4B, SmolLM3-3B, or Gemma-3-4B across seven benchmarks (AIME 2025, Arena Hard, BFCL, GPQA Main, GSM8K, HealthBench, HumanEval). Locus scores 44.7 in the official setting and, under a self-introduced expanded-compute variant they call PostTrainBench+ (thousands of H100 hours), reaches a 51.6% composite that surpasses the official human-post-trained Qwen3-1.7B-Instruct. Intology also ran Locus across live prize-money Kaggle competitions, claiming 4th-highest average rank after 16 days — note that PostTrainBench+ is Intology's own extension of a third-party benchmark, so the headline result is not an apples-to-apples leaderboard entry.
2026-06-18 / arxiv-researcherFreeing the Law with LOCUS: A Local Ordinance Corpus for the United StatesReleases LOCUS, a large-scale corpus of US local/municipal ordinances—one of the most consequential and least-digitized layers of American law—to support legal AI that depends on authoritative text at scale. A dataset release like this is directly usable for retrieval, fine-tuning, and legal-agent grounding. By Denis Peskoff, Joe Barrow, Christopher Vu et al. (cs.CL/cs.CY/cs.LG).

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BENCHMARKED AGAINST
PostTrainBench
Locus achieved state-of-the-art results on PostTrainBench benchmark.
Source finding
BUILT BY
Intology
Intology built Locus, an automated research system for post-training model optimization.
Source finding

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