AIRA_2 breaks through AI research agent limitations with parallel processing and interactive debugging, achieving 76% benchmark performance

Introduces asynchronous multi-GPU architecture that scales experiment throughput linearly, solving synchronous single-GPU bottleneck

Implements Hidden Consistent Evaluation protocol to prevent performance degradation across extended search horizons

Deploys ReAct agents with dynamic action scoping and interactive debugging to overcome fixed single-turn LLM limitations

Achieves 71.8% mean Percentile Rank on MLE-bench-30 at 24 hours (up from previous best of 69.9%), improving to 76.0% at 72 hours