Deep researcher with test-time diffusion
Google Research
Google introduced Test-Time Diffusion Deep Researcher (TTD-DR), an AI agent that models research report writing as an iterative diffusion process, gradually refining a preliminary draft into a polished final version using retrieval and self-evolution algorithms. TTD-DR achieved a 74.5% win rate compared to OpenAI Deep Research on long-form report generation tasks and outperformed competing systems by 7.7% and 1.7% on multi-hop reasoning benchmarks. The system is now available on Google Cloud Platform through Google Agentspace, enabling more coherent and efficient research agent workflows that better emulate human research patterns.
Why it matters
Machine Intelligence
