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[ARTICLE · art-29192] src=pub.towardsai.net ↗ pub= topic=large-language-models verified=true sentiment=· neutral

Grok V9 Skipped GitHub and Trained on How You Actually Code in Cursor, All 1.5 Trillion Parameters

XAI trained its Grok V9 model on private coding data from Cursor, not just public GitHub repositories, using 1.5 trillion parameters to understand how developers actually code.

read1 min views1 publishedJun 16, 2026

Here is the part of the Grok V9 story almost nobody is saying out loud: xAI did not just scrape more public code. It trained a… Continue reading on Towards AI »

source & further reading
pub.towardsai.net — original article Practical Breakdown of the Value of the Semantic Layer for AI Agents: Results of A/B Testing The LangGraph Mental Model: A standardized architecture guide for every agent you’ll ever build Reinforcement Learning for Feature Compatibility Optimization in Large Language Models
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