ChatGPT Deep Research : le Test Complet (bluffant !)

ChatGPT Deep Research : le Test Complet (bluffant !)

by Ludo Salenne

Applied Sciences & Engineering AI — Models & Research UYQArtificial intelligence (AI)UYQFGenerative artificial intelligence
🎙 Ludo Salenne 👥 267K 📅 February 3, 2025 ⏱ 41 min 👁 81K 📄 review 🧭 2026-08-21
Available in: English (current) Français

Keywords

Deep ResearchChatGPTOpenAIDeepSeekAI agent

Summary

The video presents a comprehensive test of ChatGPT Deep Research, a new feature from OpenAI that performs in-depth, multi-step web research. The creator demonstrates its capabilities through several real-world scenarios: identifying a forgotten video game from vague memories, comparing VR headsets for purchase, analyzing PDFs, and conducting market research. The tests show that Deep Research outperforms standard ChatGPT (GPT-4o) and DeepSeek R1 in terms of accuracy and depth, though it takes longer (up to 14 minutes). The video also compares Deep Research with ChatGPT Operator and Perplexity AI, highlighting the strengths and weaknesses of each. The creator emphasizes the potential of this tool for e-commerce, affiliate marketing, and professional research, while noting the high cost (Pro plan at $200/month) and the need for careful source verification. The video is well-structured with clear demonstrations and provides practical insights for users considering the feature.

142 words

Critical Evaluation

Value of the Information & Strength of the Argument

The video provides substantial value by demonstrating the practical applications of ChatGPT Deep Research through multiple, well-chosen examples. The argumentation is solid, as the creator shows real-time processes and results, comparing against other AI tools like DeepSeek R1 and Perplexity. The demonstrations are convincing, particularly the game identification and VR headset comparison, which illustrate the tool’s ability to synthesize information from various sources. However, the evaluation is subjective and lacks a rigorous, controlled methodology. The creator’s enthusiasm is evident, but he also acknowledges limitations, such as the time required and the need for source verification. Overall, the argumentation is persuasive but not scientifically rigorous.

Scientific Rigor, Source Quality, Title Accuracy

The video demonstrates a good level of rigor in terms of sources: the creator provides links to OpenAI’s official announcement and the Last Exam AI benchmark, and he shows the sources used by Deep Research in its responses. However, the evaluation is based on personal experience and lacks a systematic comparison protocol. The title accurately reflects the content, and the video is well-structured with clear chapters. The creator does not cite any academic papers beyond the benchmark, and the analysis is more of a practical review than a scientific study. The adéquation between title and content is excellent, as the video delivers exactly what it promises: a comprehensive test of ChatGPT Deep Research.

232 words

Title / Content Match

The title accurately reflects the content: a comprehensive test of ChatGPT Deep Research, highlighting its impressive capabilities.

Quality & Reliability

7/10

The video is a hands-on demonstration of ChatGPT Deep Research, with multiple comparative tests against other AI tools. The creator shows real-time processes and results, but the evaluation is subjective and lacks rigorous methodology. Sources are provided in the description, but the analysis is not peer-reviewed.

Chapters

Cited Sources

  • Introducing deep research — Official OpenAI announcement of the Deep Research feature.
  • Last Exam AI — Benchmark used to evaluate AI models, mentioned in the video.
  • OpenReview paper (fibxvahvs3) — Academic paper referenced in the video, likely related to AI evaluation.

Concurring Sources

  • OpenAI Deep Research announcement — Confirms the existence and features of Deep Research.

External References

Contribution & Novelties

The video provides a practical, hands-on evaluation of ChatGPT Deep Research, showcasing its capabilities in real-world scenarios. It highlights the tool’s ability to conduct multi-step research, synthesize information from diverse sources, and provide actionable recommendations. The comparison with other AI tools like DeepSeek R1 and Perplexity offers valuable insights for users. The video also discusses the potential impact on e-commerce and affiliate marketing.

Pour aller plus loin :

  • OpenAI Deep Research page — Official documentation and details.
  • Last Exam AI — Benchmark for AI evaluation.
  • DeepSeek R1 — The competing AI model mentioned in the video.

96 words

Radar Profile

The radar profile shows high scores in quantity of information and quality of information, reflecting the comprehensive demonstrations and detailed comparisons. The technical level is moderate, as the video is accessible to a general audience. The global reliability is slightly lower due to the subjective nature of the evaluation.

Reliability 6/10

💬 Très positif. Sur les 30 commentaires analysés, la majorité exprime une admiration pour la démonstration et une gratitude pour les informations fournies, avec quelques remarques critiques sur la comparaison avec DeepSeek.