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OpenAI ‘s Next Ai Agent :ChatGPT Deep Research

OpenAI recently announced The Stargate Project, marking a significant collaboration with NVIDIA. This initiative represents a major step forward in AI infrastructure and computing capabilities, with the announcement made in January 2025. The project aims to push the boundaries of AI model training and deployment capabilities。

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ChatGPT Deep Research achieved a breakthrough 26.6% accuracy on Humanity’s Last Exam

Deep Research achieved a breakthrough 26.6% accuracy on Humanity’s Last Exam, a comprehensive test featuring over 3,000 questions across 100+ subjects. The evaluation covered diverse fields from linguistics to rocket science, with notable improvements over OpenAI o1 particularly in chemistry, humanities, social sciences, and mathematics. The model demonstrated human-like capabilities in effectively seeking specialized information when needed.

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How to use ChatGPT Deep research

Deep Research operates within ChatGPT as a specialized research tool that can be activated through the message composer. It processes complex queries, from competitive analysis to personalized reports, with the ability to handle file attachments. The tool takes 5-30 minutes to complete thorough web research, providing detailed reports with cited sources and will soon include visual elements. While GPT-4o excels at real-time conversations, Deep Research distinguishes itself through comprehensive, well-documented research outputs suitable for professional use, making it particularly valuable for in-depth, domain-specific inquiries that require verified information.

Deep Research

Feature of Chatgpt Deep Research (openai)

ChatGPT Deep Research Agent

One of the most significant recent developments is OpenAI’s introduction of a new “deep research” agent. This tool is specifically .

Technical Foundation

Powered by a specialized version of the upcoming OpenAI o3 model
Optimized specifically for:Web browsing capabilities
Data analysis
Reasoning across multiple sources

Information Processing

Analyzes hundreds of online sources
Processes multiple content types (text, images, PDFs)
Creates comprehensive research reports

Research Methodology

Uses reasoning to search and interpret data
Adapts research direction based on discovered information
Provides fully documented outputs with clear citations

Differentiators from GPT-4o

Focuses on depth and detail for complex inquiries
Provides extensive documentation and citations
Produces verified, work-product quality outputs
Specializes in finding niche, non-intuitive information

Content Creation of ChatGPT Deep Research

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What Experts Say About Chatgpt Deep Research

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FAQ

Frequently Asked Question About ChatGPT Deep Research

1. What is OpenAI ChatGPT Deep Research and how does it work?

OpenAI ChatGPT Deep Research is an AI-powered research agent leveraging the o3 model to autonomously complete complex multi-step research tasks. It analyzes text, images, and PDFs across the web, generates analyst-grade reports in 5-30 minutes, and documents its data sources/process for transparency.

2. What data formats does OpenAI ChatGPT Deep Research support?

The tool processes:

  • Web content (text/images)
  • User-uploaded files (TXT/PDF/Word)
  • Social media data
  • Tabular data (spreadsheets)
  • Multimodal combinations (text + images)

3. How does OpenAI ChatGPT Deep Research handle PDF files?

It excels at:

  • Extracting text/images from PDFs
  • Integrating PDF content with web data
  • Generating structured reports
  • Maintaining contextual understanding

Limitation: Occasional formatting errors with complex PDF layouts.

4. Which industries benefit most from OpenAI ChatGPT Deep Research?

Top use cases:

  • Financial analysis (market trends/competitor research)
  • Scientific literature reviews
  • Policy impact assessments
  • Consumer product comparisons
  • Engineering feasibility studies

5. How does ChatGPT Deep Research compare to DeepSeek R1?

Feature ChatGPT Deep Research DeepSeek R1
Architecture o3 model (RL-optimized) MoE (670B params)
Strength Multi-source synthesis Math/logical reasoning
Benchmark 26.6% on “Human Final Exam” SOTA on DROP/AIME 2024
Cost $20/mo (100 queries) $550M training cost

6. What makes OpenAI ChatGPT Deep Research unique?

Key differentiators:

  • 30+ minute extended reasoning sessions
  • Source verification with audit trails
  • Cross-modal analysis (text + visuals)
  • Financial-grade report structuring

7. What are OpenAI ChatGPT Deep Research’s future updates?

Planned enhancements:

  • Embedded data visualizations (Q3 2025)
  • Professional database integrations (Bloomberg/PubMed)
  • Collaborative editing features
  • Enhanced rumor detection algorithms

8. Who can access OpenAI ChatGPT Deep Research?

Current availability:

  • ChatGPT Pro: Full access (100 queries/month)
  • Plus/Teams: Limited beta (20 queries/month)
  • Enterprise: Custom plans available

9. How accurate is OpenAI ChatGPT Deep Research?

Validation metrics:

  • 89.7% factual accuracy on financial reports
  • 26.6% score on “Human Final Exam” benchmark
  • 73% user satisfaction rate (early adopters)

Note: Occasional confusion between verified/unofficial sources.

10. What are OpenAI ChatGPT Deep Research’s limitations?

Current constraints:

  • No real-time data updates
  • Limited non-English support (25 languages)
  • Max 50MB/file upload
  • No API access until 2026

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