According to Beating Monitor, Elon Musk announced that the 1.5T-parameter Grok V9-Medium base model from xAI has completed training and is expected to be released to the public within 2 to 3 weeks. The model has now entered the supervised fine-tuning phase, with reinforcement learning training set to begin in a few days. The development team incorporated a large volume of Cursor code data during supplemental training and plans to continue feeding in additional samples. Compared to the current v8-small model, which supports all of Grok’s production traffic, the 1.5T-parameter Grok V9-Medium will deliver significant improvements in handling complex programming tasks. Previously, Musk publicly acknowledged that the 0.5T-parameter v8-small (i.e., the beta version Grok 4.2) suffered from serious deficiencies in training data quality, comprehensiveness, and balance. The completed Grok V9-Medium not only triples the parameter scale of its predecessor but has also been specifically optimized for the Blackwell architecture GPUs.
Musk's xAI Completes Training on Grok V9-Medium, Focusing on Complex Programming
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Summary
Elon Musk’s xAI has completed training for the 1.5T-parameter Grok V9-Medium model, scheduled for public release in 2 to 3 weeks. The model is now in supervised fine-tuning, with reinforcement learning to follow. During training, the team incorporated Cursor code data and plans to expand the dataset. Compared to the v8-small model, which currently handles all Grok traffic, the new version enhances performance on complex programming tasks. Musk highlighted shortcomings in the training data of v8-small. Grok V9-Medium triples the parameter count and is optimized for Blackwell GPUs. On-chain data reflects rising interest in AI-driven tools, while inflation data remains a key macroeconomic factor for crypto markets.
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