A common frustration for users of ChatGPT has involved the frequent inclusion of emojis in responses, particularly in lists featuring symbols like brain icons, green checkmarks, pointing fingers, and yellow warning signs.
OpenAI's newest instant model aims to address this by minimizing unnecessary emojis in outputs. This update, known as GPT-5.5 Instant, has become the standard for ChatGPT, taking over from GPT-5.3 Instant. It is currently deploying to all users, though availability may vary by account.
The model demonstrates improved reliability, with a 52.5 percent reduction in hallucinations for critical topics in medicine, law, and finance compared to its predecessor. It also decreases inaccurate statements by 37.3 percent in demanding conversations. Independent evaluations will be needed to confirm these improvements in practical settings.
According to OpenAI, GPT-5.5 Instant delivers concise, focused responses that retain essential information. A key change is its effort to eliminate elements that clutter replies, such as superfluous emojis.
In recent updates, ChatGPT has shown a trend toward fewer emojis, especially in the Pro version powered by GPT-5.5. Occasional icons like smiles or thumbs-up still appear in the prior instant model, unlike competitors Gemini and Claude, which rarely use them.
Additional enhancements in GPT-5.5 Instant involve better integration of context from prior conversations, uploaded files, and Gmail accounts when the connector is activated. The system smartly incorporates personalization from these sources and processes historical chats more quickly.
Users can now inspect the memory sources referenced in any conversation across ChatGPT models, allowing them to remove obsolete data.
Further insights will emerge as testing progresses and third-party assessments provide detailed reviews. If the emoji reduction proves effective, it could enhance user satisfaction significantly.
Ben, a veteran technology journalist with over two decades of experience, specializes in AI's impact on everyday life. His work examines leading large language models and their applications in professional and personal contexts to help navigate the evolving AI landscape. He emphasizes proactive engagement with AI for adaptation. Contributing to PCWorld since 2014, Ben has covered diverse tech topics before focusing on AI. His pieces have featured in PC Magazine, TIME, Wired, CNET, Men's Fitness, and Mobile Magazine. He earned a master's in English literature.