Openai揭露了Chatgpt的“深入研究”功能，旨在攻讀中國AI平台DeepSeek

隨著與中國AI平台DeepSeek的競爭加劇，Openai為Chatgpt添加了一種新的“深度研究”模式。新功能允許用戶

OpenAI has unveiled a new “deep research” mode for ChatGPT, allowing users to conduct multi-step research for complex tasks.

Openai推出了一種新的“深度研究”模式，用於gatgpt，使用戶可以為複雜的任務進行多步研究。

The new feature, announced by OpenAI CEO Sam Altman on Friday, enables ChatGPT to perform complex research tasks on the web and generate a report.

OpenAI首席執行官Sam Altman週五宣布的新功能使Chatgpt能夠在網絡上執行複雜的研究任務並生成報告。

“today we launch deep research, our next agent. this is like a superpower; experts on demand!” Altman tweeted.

“今天，我們啟動了深層研究，我們的下一個代理商。這就像超級大國；專家按需！”奧特曼發推文。

“it can go use the internet, do complex research and reasoning, and give you back a report. it is really good, and can do tasks that would take hours/days and cost hundreds of dollars.”

“它可以使用互聯網，進行複雜的研究和推理，並給您報告。這真的很好，可以完成需要數小時/天的任務，並且花費數百美元。”

Deep Research is billed as OpenAI’s second AI agent, following the launch of Operator AI for browser-related tasks last month. It is powered by OpenAI’s latest o3 reasoning model, which is optimized for web browsing and data analysis.

在上個月推出了與瀏覽器相關的任務的操作員AI之後，深入研究被稱為OpenAI的第二個AI代理。它由OpenAI的最新O3推理模型提供動力，該模型已針對Web瀏覽和數據分析進行了優化。

According to OpenAI, Deep Research can search, interpret, and analyze large amounts of text, images, and PDFs on the web to generate a comprehensive report, bringing its capabilities closer to those of a research analyst.

根據Openai的說法，深入的研究可以在網絡上搜索，解釋和分析大量文本，圖像和PDF，以生成全面的報告，從而使其能力更接近研究分析師。

The company claims that deep research queries will take between 5 and 30 minutes to complete, and the chatbot will notify users when their research is finished.

該公司聲稱，深入的研究查詢將需要5到30分鐘的時間才能完成，聊天機器人將在完成研究完成後通知用戶。

While Deep Research currently only supports text output, OpenAI plans to introduce embedded images, data visualizations, and other analytical output in the coming weeks.

儘管目前深入研究僅支持文本輸出，但OpenAI計劃在未來幾週內引入嵌入式圖像，數據可視化和其他分析輸出。

In an X post, Altman provided a brief example of how Deep Research works.

在X帖子中，Altman提供了一個簡短的示例，說明了深入研究的工作方式。

“people will post lots of great examples, but here is a fun one: i am in japan right now and looking for an old NSX. i spent hours searching unsuccessfully for the perfect one. i was about to give up and deep research just…found it,” he wrote.

“人們會發布很多很棒的例子，但這是一個有趣的例子：我現在在日本，正在尋找舊的NSX。我花了幾個小時的時間搜索完美的搜索。我正準備放棄和深入研究……找到了。”他寫道。

“it is very compute-intensive and slow, but it’s the first ai system that can do such a wide variety of complex, valuable tasks. going live in our pro tier now, with 100 queries per month. plus, team, and enterprise will come soon, and then free tier.”

“這是非常密集且緩慢的，但這是第一個可以執行如此多種複雜，有價值的任務的AI系統。現在在我們的職業層中生活，每月有100個查詢。另外，團隊和企業將很快到來，然後免費。”

However, OpenAI has also noted in its blog that deep research, like other AI tools from the company, has been known to “hallucinate.”

但是，Openai還在其博客中指出，與公司的其他AI工具一樣，深入的研究是“幻覺”。

“Deep research may struggle to differentiate authoritative information from rumor, and currently exhibits weakness in confidence calibration, often failing to convey uncertainty accurately,” the blog post reads.

博客文章寫道：“深入的研究可能難以將權威信息與謠言區分開來，目前在信心校準方面表現出弱點，通常無法準確傳達不確定性。”