{"slug": "why-microsoft-trained-mai-thinking-1-without-synthetic-data", "title": "Why Microsoft Trained MAI-Thinking-1 Without Synthetic Data", "summary": "Microsoft released a reasoning model called MAI-Thinking-1, trained without synthetic data, highlighting the team's choices to filter out certain data and avoid specific training methods.", "body_md": "The useful lesson is not only that Microsoft released a reasoning model. It is what the team says it filtered out, avoided, and refused to…\nContinue reading on Towards AI »", "url": "https://wpnews.pro/news/why-microsoft-trained-mai-thinking-1-without-synthetic-data", "canonical_source": "https://pub.towardsai.net/why-microsoft-trained-mai-thinking-1-without-synthetic-data-3cb4f9a588cc?source=rss----98111c9905da---4", "published_at": "2026-06-23 21:48:27+00:00", "updated_at": "2026-06-24 00:37:54.066422+00:00", "lang": "en", "topics": ["large-language-models", "ai-research"], "entities": ["Microsoft", "MAI-Thinking-1"], "alternates": {"html": "https://wpnews.pro/news/why-microsoft-trained-mai-thinking-1-without-synthetic-data", "markdown": "https://wpnews.pro/news/why-microsoft-trained-mai-thinking-1-without-synthetic-data.md", "text": "https://wpnews.pro/news/why-microsoft-trained-mai-thinking-1-without-synthetic-data.txt", "jsonld": "https://wpnews.pro/news/why-microsoft-trained-mai-thinking-1-without-synthetic-data.jsonld"}}