Domingos Claims RNNs Outperform Transformers

Pedro Domingos, Professor Emeritus at the University of Washington, posted that recurrent neural networks surpass transformers when implemented correctly. He stated the next generation of large language models will rely on them instead. The post presents this as his own idea without additional evidence or details on implementation. No other sources in the packet confirm or refute the performance comparison.