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A specific looped Transformer architecture and input injection strategy unlock significant gains in reasoning and context utilization, outperforming larger models with drastically fewer parameters.
Key contribution not extracted.
Many autonomous GUI-agent failures can be repaired when users can see and edit plans in real-time, transforming how we interact with automation systems.