cd /news/large-language-models/why-microsoft-trained-mai-thinking-1… · home › topics › large-language-models › article
[ARTICLE · art-36813] src=pub.towardsai.net ↗ pub= topic=large-language-models verified=true sentiment=· neutral

Why Microsoft Trained MAI-Thinking-1 Without Synthetic Data

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.

read1 min views38 publishedJun 23, 2026

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… Continue reading on Towards AI »

source & further reading
pub.towardsai.net — original article Why You Can’t Give an LLM Direct Write-Access to Your EHR GPT-5.6 Quietly Broke Our Prompt Cache. One Message Boundary Fixed It. How to Cut Your AI Agent’s Context Cost With GPT‑6 Prompt Caching
── more in #large-language-models 4 stories · sorted by recency
── more on @microsoft 3 stories trending now
sponsored brought to you by zahid.host 4,200+ EU-deployed projects
reading about agents? ship yours in a single git push.

Run your AI side-project on zahid.host

EU-based hosting, git-push deploys, automatic HTTPS, no cold starts. Free tier with a custom domain — perfect for shipping the agent you just read about.

$git push zahid main
→ Live at https://your-agent.zahid.host ✓
Get free account → Pricing
from €0/mo · no card required
LIVE [news/why-microsoft-traine…] indexed:0 read:1min 2026-06-23 · —