返回新聞
產品展示AI Understanding 簡報

TechCrunch:OpenAI 表示,隨著 ChatGPT Work 擴展自主任務,其用戶已達到 2,000 萬

在接受 TechCrunch 採訪時,OpenAI 產品負責人 Thibault Sottiaux 將 ChatGPT Work 描述為一項面向消費者的工作,旨在使編碼代理能力能夠處理複雜的專業任務。他表示,該產品的用戶數已達 2,000 萬,但消息來源未獨立證實這一數字。

5 min readRead the original reporting
Source-provided image accompanying TechCrunch: OpenAI says ChatGPT Work has reached 20 million users as it expands autonomous tasks
歸因報告來源記錄
出版商
techcrunch.com
來源連結
techcrunch.comhttps://techcrunch.com/2026/08/25/the-world-seems-to-be-ready-an-interview-with-openai-head-of-product-thibault-sottiaux/
來源類型
新聞媒體的報道-不是第一方文件。
還引用了

我們無法獨立確認的內容: 此聲明歸因於指定的商店。我們沒有根據第一方文件對其進行驗證。 (techcrunch.com)

故事最後修訂

背景60 秒內了解這一點

從這裡開始

關鍵術語

API(應用程式介面)
一種軟體系統向另一個系統發送請求並接收回應的結構化方式。
基準測試
用於測量和比較模型性能的標準化測試或資料集。
特點
模型用來進行預測的輸入變數。
測試一下自己ChatGPT 與法學碩士測驗

自發布以來發生了什麼變化

  1. 首次發表
  2. This interview materially advances the same continuing ChatGPT Work product story by adding OpenAI product chief Thibault Sottiaux’s rationale for broadening coding-agent capabilities, his claim that the product has reached 20 million users, discussion of a $20 Plus-plan path, references to email and iMessage access, and claims about pricing and safety. The user figure, performance claims, rollout details, and safety assertions are not independently confirmed in the source.

發生了什麼事

TechCrunch interviewed OpenAI head of product Thibault Sottiaux about ChatGPT Work, the company’s effort to bring autonomous AI-agent capabilities to a broader audience. Sottiaux said OpenAI has reached 20 million users and is positioning the product to handle complex professional tasks across web and mobile. TechCrunch did not independently verify the user figure, product performance claims, or OpenAI’s safety assertions.

TechCrunch reports that Sottiaux leads OpenAI’s core products, including the API, agent infrastructure, enterprise products, ChatGPT, and Codex. In the interview, he described ChatGPT Work as an effort to package capabilities first developed for technical users into a product intended for a broader population. He said the service is available through OpenAI’s Plus plan, which he identified as costing $20 per month, and described access across web and mobile. These statements come from Sottiaux as quoted by TechCrunch; the source does not independently verify the product’s availability, pricing, or reach in every market.

TechCrunch reports that Sottiaux said ChatGPT Work had reached 20 million users. The interview does not specify whether that figure means registered accounts, paying subscribers, active users, or another measure, and it provides no methodology or supporting data. Sottiaux also said OpenAI had rolled out access to iMessages on the day of the interview, but the source does not describe the ’s technical operation, geographic availability, permissions, or safeguards. Those details remain unresolved.

Sottiaux told TechCrunch that OpenAI is designing around a minimal interface that lets models perform entire complicated tasks autonomously. He cited document processing, slide generation, report generation, and deep research as examples of capabilities associated with GPT-5.6, and described product development as a process of discovering what models can do and then building around the strongest uses. The article presents these as OpenAI’s product claims and does not include independent testing of ChatGPT Work, GPT-5.6, or the quality of the cited outputs.

The account also leaves several basic product questions unanswered. The interview describes ChatGPT Work as available through the Plus plan and across web and mobile, and says OpenAI rolled out access to iMessages on the day of the interview, but it does not establish availability in every market or explain the ’s technical operation, permissions, or safeguards. References to document processing, slide generation, report generation, and deep research are presented as examples associated with GPT-5.6, without independent testing of the cited outputs. The 20 million-user figure is attributed to Sottiaux and is not independently verified by TechCrunch.

來源詳情: techcrunch.com ↗

為什麼這很重要

The interview offers a direct account of how OpenAI is trying to move AI agents from technical users into mainstream and white-collar workflows. It also highlights the economic model behind that strategy: increasing the utility of ChatGPT so users will pay for access, while lowering the cost of frontier capabilities over time. The practical significance will depend on reliability, oversight, privacy protections, and whether users can understand and control autonomous actions.

The interview is significant because it describes a shift in the intended audience for AI agents. Sottiaux said Codex was initially built for a forgiving technical audience, while ChatGPT Work is meant to bring similar forms of task execution to a much broader group. If that strategy succeeds, users may increasingly delegate multi-step work rather than use AI only for drafting, search, or advice. TechCrunch’s report does not establish how often the system completes tasks correctly or how much human review is required.

The commercial implications are also explicit. Sottiaux told TechCrunch that OpenAI wants to increase the utility delivered through ChatGPT so users will pay for part of that value, citing the Plus plan as an example. He also said OpenAI is working to reduce the cost of frontier capabilities and described an 80% price reduction associated with Luna as permanent. The source does not provide a price table, usage limits, cost accounting, or independent confirmation of the reduction, so its effect on household or corporate budgets cannot be assessed from this interview alone.

For the public, the central issue is not simply whether the product feels natural. Autonomous software that can handle documents, research, communications, or other connected services can create consequences when it misunderstands instructions, exposes information, or takes an action the user did not expect. Sottiaux said OpenAI invests heavily in a safety stack and publishes honest benchmarks, and he characterized its models as world-class on safety topics. Those are company statements; the source supplies no results, audit findings, incident data, or independent assessment to substantiate them.

Interactive Mechanism

互動機制:它實際上是如何運作的

以互動方式探索這項發展背後的基礎技術。

Agent Lifecycle Stage:
1
User Intent & Planning: "Audit customer refund request #4092 and settle payment."
2
Tool Calling: Emits structured JSON call crm_get_transaction(id='4092').
3
Guardrail & Verification:🛡️ Paused: High-value action requires human operator sign-off.
4
Final Settlement: Refund recorded, email receipt dispatched, and audit log stored.
Core takeaway: An AI agent is not just a language model—it is a closed loop of planning, tool invocation, and environment feedback. Production systems require self-healing retries and strict human approval guardrails.
互動式概念檢查+10 Points
ChatGPT & LLMs Quiz

What is a common training objective for an autoregressive language model?

接下來看什麼

The key questions are whether ChatGPT Work can perform complex tasks consistently, how much control users retain when it accesses services such as email or iMessages, and whether OpenAI’s safety evidence withstands independent scrutiny. Future updates should clarify the 20 million-user figure, define availability and limits, and show how the product handles errors, permissions, sensitive data, and billing as usage grows.

The first verification priority is the reported 20 million users. Coverage should seek clarification of the metric, the period measured, the share of paying users, and whether the figure includes users of ChatGPT Work specifically or a broader OpenAI product grouping. Without that information, the number cannot show adoption, retention, or the amount of autonomous work being performed. TechCrunch’s interview establishes only that Sottiaux made the claim.

The second priority is operational reliability and user control. OpenAI’s stated design goal is to let the model take the lead with a simple interface, while the source mentions access to email and iMessages. Further reporting should examine permission scopes, confirmation requirements, audit logs, reversibility, data retention, and how the system communicates uncertainty. It should also test whether users can distinguish a completed task from a plausible-sounding but incomplete result.

Finally, observers should track the relationship between capability, pricing, and safety as usage expands. Sottiaux said OpenAI plans to put more utility into the same dollar amount and continue improving through real-world feedback. That approach could broaden access, but it also raises questions about whether lower costs encourage higher-stakes use before safeguards mature. The source does not say which independent organizations have evaluated ChatGPT Work, what limitations apply to GPT-5.6, or how OpenAI measures harmful outcomes, leaving those as meaningful unknowns.

相關指引和測驗

ChatGPT 與大型語言模型人工智慧代理人工智慧模型解釋測試你所知道的—嘗試免費的人工智慧測驗在我們的詞彙表中尋找人工智慧術語關注 AI 模型發布追蹤器

更新和更正

當正在發生的事件發生重大變化時,這個典型的故事就會被更新。它的 URL 和原始發布日期永遠不會改變。

  • This interview materially advances the same continuing ChatGPT Work product story by adding OpenAI product chief Thibault Sottiaux’s rationale for broadening coding-agent capabilities, his claim that the product has reached 20 million users, discussion of a $20 Plus-plan path, references to email and iMessage access, and claims about pricing and safety. The user figure, performance claims, rollout details, and safety assertions are not independently confirmed in the source.
查看公開更正日誌
覺得有用嗎?