NanoGPT Speedrun Sets New Record

A new world record was achieved in the NanoGPT speedrun through targeted changes to the final attention layer. The update produces a lightweight multi-head attention variant that reduces overall training time. This follows earlier discussion on handling extreme values in matrix operations to improve throughput. The record was noted by engineers with experience at OpenAI and DeepMind who track public benchmarks on modded NanoGPT. Current status confirms the improvement over the prior best result.