ChatGPT Group Chats 🔥: Talk with 20 Users! 🚀

It’s becoming increasingly common to utilize ChatGPT within teams, enabling collaborative efforts like generating schedules, revising messages, creating checklists, and comparing options – all of which can then be refined collectively. This is particularly helpful with creative work, where disorganized or conflicting feedback, often spread across various channels, can significantly stall projects. ChatGPT can step in to group comments by theme, highlight contradictions, and even suggest draft revisions aligned with the team’s overall vision, ultimately reducing wasted effort and ensuring progress toward a clear, shared goal. OpenAI’s new group chat feature expands on this, allowing up to 20 people to collaborate within a single conversation with ChatGPT. To initiate a group chat, users can click the “people” icon in the top right corner of the app; ChatGPT creates a new shared space by copying the current conversation and invites others by simply sharing a link. When someone first joins, ChatGPT prompts them to set a name, username, and profile picture, facilitating a clear understanding of who’s contributing. The model is designed to “go along with the flow” of the conversation, determining when to respond and when to listen, and can be prompted by simply mentioning “ChatGPT” in a message. It even uses profile pictures and emojis to personalize interactions. A settings panel at the top right of the screen allows for adding or removing people, muting notifications, and providing specific instructions to ChatGPT. This update is powered by GPT-5.1 Auto, which dynamically selects the best response model based on the user’s prompt and desired outcome. Importantly, OpenAI emphasizes that ChatGPT won’t retain previous conversations within group chats or create new memories based on group activity. While there are limits on the frequency of responses, this limitation only applies when ChatGPT is actively sending a reply. Ultimately, this shift in how teams are using ChatGPT aligns with a broader trend of companies exploring deeper AI integration into their workflows, offering a simpler, more efficient way to manage projects, particularly those grappling with scattered feedback, slow reviews, and constant context switching. The feature’s benefits extend to tasks like drafting, summarizing, and revising documents.