Deep Research丸投げは非効率？

「OpenAIが2月2日、長文のレポートを自動的に作成してくれる「deep research」を発表した。ただし、これにレポート作成を丸投げするのは効率的ではない。それよりも、ChatGPTを使っていかにデータや情報を収集するかについて考えるべきだ。」という野口 悠紀雄 氏の指摘、ごもっともです。
Deep Research 機能は、OpenAI(ChatGPT), Gemini, Genspark, Felo AIにまで広がりました。これらのDeep Research 機能について、生成AIに比較させてみた結果を添付しましたので、ご参照ください。あくまで道具として使うわけですが、得意不得意がありますので、使い分けが必要です。
 
deep research丸投げは非効率？ 野口悠紀雄氏が指摘  「ChatGPT活用」で考えるべきこと
https://news.yahoo.co.jp/articles/fe2c0be1fffb7315a87583f8d464c38ab44bd3ed
 
 
 
Is Delegating Everything to Deep Research Inefficient?
 
On February 2, OpenAI announced "Deep Research," a feature that automatically generates long reports. However, as Yukio Noguchi points out, completely delegating report creation to this tool is not efficient. Instead, it is more important to consider how to use ChatGPT effectively for data and information gathering.
The Deep Research feature has now expanded beyond OpenAI (ChatGPT) to include Gemini, Genspark, and Felo AI. I have attached a comparison of these Deep Research features generated by AI for your reference. While these tools are meant to assist users, they each have their strengths and weaknesses, making it necessary to use them appropriately depending on the situation.
Is Delegating Everything to Deep Research Inefficient?
Yukio Noguchi Highlights the Importance of Thoughtful ChatGPT Utilization
https://news.yahoo.co.jp/articles/fe2c0be1fffb7315a87583f8d464c38ab44bd3ed

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