PANews, May 16: Musk posted on X that the recently completed Grok V9 (1.5T parameters) training run "performed exceptionally well," and these results have not yet been incorporated into the supplementary training data for Cursor. The current foundational model version under internal development is V9, which shows significant improvements over V8 in data cleaning, training methods, and model scale, and has been optimized for the Blackwell architecture to enhance computational efficiency. Musk emphasized that the publicly available version, v4.2, is built on the V8 foundational model with approximately 0.5T parameters and runs on the Hopper architecture, still facing limitations in training data quality and coverage. The performance gap between Grok V8 and V9 is substantial, with the new-generation model achieving a transformative leap in overall capabilities.
Musk Highlights Significant Performance Gap Between Grok V8 and V9
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Summary
Elon Musk highlighted the performance leap between Grok V8 and V9 in a recent on-chain news update. According to PANews, the new V9 model, with 1.5 trillion parameters, shows significant improvements over V8 in training data quality and computing efficiency, particularly on the Blackwell architecture. The publicly available Grok v4.2 still uses V8 (0.5 trillion parameters) and the older Hopper architecture. Musk noted the gap is substantial, with V9 achieving a major leap in capability. The training run has not yet incorporated Cursor data, suggesting further gains are possible. Tracking inflation data and rapid model updates may signal broader shifts in AI-driven crypto analytics.
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