Core Insights - Google has launched Gemini Deep Research, an advanced AI research agent, following the release of OpenAI's GPT-5.2, marking a significant step towards industrial application of AI in complex research tasks [1][3] Group 1: Gemini Deep Research Features - Gemini Deep Research is built on Gemini 3 Pro and is optimized for long-cycle content collection and synthesis, achieving a 40% reduction in hallucination rates compared to previous models, making it Google's most factually accurate model to date [3] - The AI agent utilizes multi-step reinforcement learning to navigate complex information environments with higher precision, enabling deep information mining through iterative planning of research paths [3] - In benchmark tests, Gemini Deep Research scored 46.4% in Google's new benchmarks and performed comparably to GPT-5 Pro in BrowseComp, while costing approximately one-tenth of the latter [3] Group 2: Applications and Industry Impact - The AI agent has demonstrated significant value in various industries, such as automating early information collection in financial services, enhancing research efficiency by integrating market signals and compliance risks [4] - In biotechnology, Axiom Bio has utilized the AI for literature analysis related to drug toxicity prediction, resulting in deeper and more granular research, thereby accelerating drug development processes [4] - The AI's strong information integration capabilities have also improved decision-making in market research [4] Group 3: Interactions API and Future Developments - The newly launched Interactions API allows developers to leverage Gemini Deep Research to create next-generation automated research tools, featuring capabilities like unified information synthesis and structured output [5] - Future upgrades will include native chart output capabilities and expanded support for custom data sources, with plans to launch Deep Research services on the Vertex AI platform for broader industry application [6]