GPT-6 Astra, looped transformers, and hidden reasoning

OpenAI's GPT-6 Astra is generating significant interest due to its performance, particularly its looped transformer architecture and rumors of hidden reasoning traces. Astra reportedly achieves 99.9% on the ARC-AGI-3 benchmark, a substantial improvement over GPT-5.6 Sol's 7.8%. While this benchmark assesses logic puzzles and generalization, its performance on math, coding, and computer use benchmarks is considered more relevant to real-world applications. The looped transformer design involves passing intermediate representations through the same transformer blocks multiple times, with consistent weights across passes, an architectural tweak distinct from simply adding more blocks.