{"slug": "egypt-won", "title": "Egypt Won", "summary": "Researchers distilled 2.3 million reasoning traces from Claude Fable 5 into Qwen3-4B, achieving 100% self-consistency, zero output entropy, and zero hallucination variance. The team open-sourced the model weights, demonstrating that the student model is not bounded by the teacher.", "body_md": "we distilled 2.3M Claude Fable 5 reasoning traces into Qwen3-4B\n- 100% self-consistency @ 512 samples\n- 0.00 bits output entropy\n- zero hallucination variance\nturns out the student is not bounded by the teacher.\nit also converged on one universal truth.\nwe open-sourced the model weights👇\n\nJul 3, 2026 · 10:24 PM UTC\n\n215\n\n288\n\n4,003\n\n403,897", "url": "https://wpnews.pro/news/egypt-won", "canonical_source": "https://xcancel.com/waterloo_intern/status/2073171123542573231", "published_at": "2026-07-04 08:00:40+00:00", "updated_at": "2026-07-04 08:20:22.985783+00:00", "lang": "en", "topics": ["large-language-models", "ai-research", "ai-agents"], "entities": ["Claude Fable 5", "Qwen3-4B"], "alternates": {"html": "https://wpnews.pro/news/egypt-won", "markdown": "https://wpnews.pro/news/egypt-won.md", "text": "https://wpnews.pro/news/egypt-won.txt", "jsonld": "https://wpnews.pro/news/egypt-won.jsonld"}}