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README.md

@@ -144,10 +144,6 @@ Aurora provides the **largest gains at small-to-moderate batch sizes**, with up
 - **Speedup**: Relative to the no-speculation baseline
 - **P05/P95**: 5th and 95th percentile throughput values
 
-### Future Work
-
-While Aurora demonstrates strong performance at small-to-moderate batch sizes, there is room for improvement in high-batch scenarios. Future work includes making speculative decoding faster for hybrid models, potentially by using **multistep kernels** that can more efficiently handle the verification overhead in batched settings.
-
 **Notably**, this performance is achieved with a model trained **from scratch** - it learns entirely through Aurora's online training process, demonstrating the effectiveness of inference-time training without expensive pre-training.
 
 ## Usage