OpenAI’s ‘Deep Research’ Launch and Its Significance
Recently, OpenAI launched a new AI feature called ‘Deep Research.’ This feature is gaining attention not just for simple text generation but as an AI capable of conducting in-depth research and analysis. In particular, its performance is so outstanding that actual experts have evaluated the reports written by the AI to be at a similar level to those written by doctoral students.
1. What is Deep Research?
‘Deep Research’ operates differently from the existing ChatGPT. It is not simply about generating quick answers, but rather an AI feature that conducts in-depth research by referencing various external materials and then organizing the results.
1-1. Key Features
- In-depth Research: While the existing ChatGPT provided quick answers, Deep Research searches and analyzes vast amounts of data to provide optimal responses.
- Document Analysis Function: Can generate responses by referring to research papers, reports, etc., uploaded by users.
- Professional Report Generation: AI can write in-depth documents such as economic reports, industry analyses, and medical research.
2. How Can Deep Research Be Utilized?
2-1. Academic Research and Thesis Writing
- A professor at UPenn (University of Pennsylvania) requested AI to conduct research on his field of study and assessed that the output was at the level of a first-year doctoral student.
- It is expected to greatly help researchers gather reference materials and create draft papers.
2-2. Medical and Healthcare Analysis
- An OpenAI employee was concerned about whether his wife should undergo radiation therapy after breast cancer surgery.
- After uploading the pathology report, he asked the AI for its opinion, and the AI generated a comprehensive report based on existing research papers and expert analysis results.
- As a result, they were able to obtain more in-depth prior information before consulting with healthcare professionals.
2-3. Patent and Legal Document Writing
- A medical doctor requested AI to draft a patent application document related to cancer research.
- As a result, he was able to create a 25-page patent document, which usually costs at least $10,000 (approximately 13 million KRW) if written through a patent attorney.
- It shows the possibility that AI can automatically generate legal documents, contracts, patents, etc.
2-4. Financial/Investment Report Writing
- A YouTuber requested AI to conduct stock research on NVIDIA.
- The AI wrote a stock investment report in 13 minutes, and actual stock experts evaluated the accuracy of the analysis as very high.
- Given that AI can perform analyses that take existing analysts hours to days in just a few minutes, it is likely to bring significant changes to the financial industry.
3. How Can Deep Research Be Used?
3-1. How to Use
Currently, the ‘Deep Research’ feature is only available through OpenAI’s paid subscription plans.
- $20/month (approximately 30,000 KRW): General ChatGPT usage available
- $200/month (approximately 300,000 KRW): Deep Research feature included (up to 100 questions per user per month)
3-2. Actual Usage Procedure
- Access the OpenAI website.
- Select the Language Model (O3 Mini or O3 Pro) in the top left menu.
- Activate the Deep Research option.
- Enter the desired research topic and set additional details (report format, etc.).
- Once the analysis is complete, the AI provides the report.
4. Changes Brought About by Deep Research
4-1. Changes in Knowledge Workers
- The roles of consultants, analysts, researchers, etc., who previously performed tasks such as analysis, report writing, and document summarization are highly likely to be largely replaced by AI.
- The important thing will be how well the AI’s output is interpreted and utilized.
4-2. Changes in the Working Methods of Professionals
- Healthcare professionals, patent attorneys, analysts, etc., will need work changes in the form of reviewing and modifying drafts generated by AI.
- The value of experts who can collaborate with AI to achieve higher productivity may increase.
5. Limitations and Future Prospects of Deep Research
5-1. Limitations
- Limited Data Access: AI cannot access paid papers or data from specific sites.
- Possibility of Slight Errors: The information provided by AI may not be 100% accurate, and users need to verify it.
- Cost Issue: The current price of $200 (approximately 300,000 KRW) may be burdensome, so initial adoption is more likely to occur in companies and research institutions rather than general users.
5-2. Future Prospects
- As AI learns more diverse documents and data in real-time, it is expected to have more sophisticated analytical capabilities in fields such as research, finance, and law.
- It is currently in its early stages, and as time passes, AI is likely to become more powerful and costs will decrease.
- Just as the internet spread rapidly after its initial release, AI-based research technology is highly likely to be widely adopted within the next 5-10 years.
Conclusion
OpenAI’s ‘Deep Research’ is an AI with much more powerful research and analysis capabilities than the existing ChatGPT. It is already producing expert-level results in various fields such as academia, medicine, finance, and law, and is highly likely to change the landscape of the knowledge labor market. However, since it is still in its early stages, it is expensive and not perfect, so it seems necessary for human experts to approach it by reviewing and utilizing the AI’s analysis results.
Now, an era has opened where AI goes beyond simply summarizing information and replaces real “research.” It is expected that the paradigm of knowledge labor will change rapidly as AI-based research tools develop further in the coming years.
[Related Articles at Next-Korea.com]
- OpenAI Deep Research, Innovation in AI Research
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*Source : [내일은 투자왕 – 김단테] 새로운 괴물 인공지능이 나타났다! 딥 리서치! 당신의 직업을 ‘삭제’ 합니다 ㄷㄷㄷ
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