Elon Musk's xAI completes training on Grok V9-Medium, focusing on complex programming

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xAI, Elon Musk’s team, has completed training for the 1.5T-parameter Grok V9-Medium model, according to the latest on-chain news. The model is now entering supervised fine-tuning and will begin reinforcement learning shortly. During training, the team incorporated a substantial amount of Cursor code and plans to add more. Compared to the current v8-small model handling all production traffic, Grok V9-Medium is expected to significantly outperform it in complex programming tasks. Musk previously acknowledged serious flaws in the training data of the v8-small model. The new version triples the parameter count and is optimized for Blackwell architecture GPUs, which may enhance efficiency in processing inflation data in the future.
ME AI news, according to monitoring by Beating, Musk has 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 and will begin reinforcement learning training in a few days. The development team incorporated a large amount of code data from Cursor during supplemental training and plans to continue feeding in more 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 GPU. (Source: BlockBeats)
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