Refine sponsor acknowledgement

README.md

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 **Abstract.** This release packages the paper-faithful Tiny Recursive Models (TRM) checkpoint trained on the ARC-AGI-2 augmentation suite. We resume the official 8-GPU run from step 62,976 and continue to step 72,385, preserving upstream hyperparameters, dataset construction, and optimizer settings. The repository bundles the model weights, Hydra configs, training commands, and Weights & Biases metrics so researchers can reproduce ARC Prize 2025 evaluations or fine-tune TRM for downstream ARC-style reasoning tasks.
 
-**Special thanks** to Shawn Lewis (CTO of Weights & Biases) and CoreWeave (coreweave.com) for their extremely generous contribution of 2×8×H200 GPU-hours through the CoreWeave Cloud platform. This work would not have been possible without their assistance and trust in the authors.
+**Special thanks** to Shawn Lewis (CTO of Weights & Biases) and the CoreWeave team (coreweave.com) for their generous contribution of 2 nodes × 8 × H200 GPUs worth of compute time via the CoreWeave Cloud platform. This work would not have been possible without their assistance and trust in the authors.
 
 ## Model Summary
 - **Architecture**: Tiny Recursive Model (TRM) with ACT V1 controller