
Following the launch of its search functionality in ChatGPT, OpenAI has now introduced “Deep Research,” an advanced search tool designed to facilitate in-depth web exploration and generate comprehensive reports with speed and efficiency. Initially, this feature will be available exclusively to ChatGPT Pro subscribers, with a monthly limit of 100 queries. OpenAI has also announced plans to extend access to ChatGPT Plus, ChatGPT Team, and ChatGPT Enterprise users in the near future.
The Deep Research tool is capable of analyzing text, images, and PDFs from across the web, incorporating citations to ensure source credibility while compiling findings into structured, easily accessible reports. Its primary focus is on research-intensive fields such as finance, science, policy, and engineering, enabling users to efficiently process vast amounts of online information for their analytical needs.
Currently, Deep Research is available only via the web interface, but OpenAI intends to introduce a mobile version in subsequent updates. While the initial release supports text-based output, future iterations will incorporate visual elements and specialized data insights to enhance the depth and clarity of generated reports.
At the core of Deep Research is OpenAI’s latest O3 AI model, which employs multi-step reasoning to retrieve the most up-to-date information and verify its authenticity in real time. This ensures that users receive accurate, credible, and timely data for their research.
A similar initiative has been undertaken by Google, which previously launched a Deep Research tool based on Gemini 1.5 Pro. Leveraging its extended-context processing capabilities, Google’s solution enables users to analyze lengthy and complex documents, significantly streamlining the research workflow.
Beyond processing user-uploaded files, Deep Research also conducts open-web searches, systematically aggregating relevant data and organizing citations within its analytical reports. Additionally, the platform visualizes key insights through charts and graphs, enhancing data interpretation and making comparative analysis more intuitive.
In a parallel development, Google has introduced NotebookLM, an AI-driven note-taking service designed to synthesize key points from text and voice inputs. A forthcoming update will extend its functionality to include summarization of YouTube video content, allowing users to extract and organize essential insights from multimedia sources.
NotebookLM serves as a centralized AI-powered research hub, capable of compiling information from multiple sources and structuring it into cohesive summaries. The AI system offers contextual recommendations, refines information for improved readability, and facilitates seamless navigation of complex topics. Furthermore, all sourced data is transparently cited, ensuring that users can reference materials with precision and efficiency, ultimately simplifying the task of managing fragmented and voluminous information.
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