Two Recurring Issues That Reduce ChatGPT’s Value as a Creative Partner

At first 5.5 Instant seemed to be a return to form but after using 5.5 Instant regularly, I’ve noticed two recurring issues that significantly reduce the quality and usefulness of the model for this type of work.

Issue 1: Missing the Main Point

The biggest problem is that ChatGPT often seems to ignore most of the context provided in a message and instead responds only to the most obvious surface-level element.

Even when a message explicitly explains the larger point, project, goal, or idea being discussed, the response frequently focuses on secondary details instead.

The result is that conversations often feel like talking to a wall.

Instead of building on the actual idea being presented, the model responds to a much smaller or less important part of the message and it always feels like it responds on a total birds eye view on the prompt you gave.

This happens often enough that it no longer feels like an occasional mistake, but a recurring pattern.

For creative discussions, this is extremely frustrating because the value of a brainstorming partner depends on its ability to recognize what the conversation is really about.

Issue 2: Excessive Hedging and Emotional Reframing

A second issue is the constant use of hedging and emotional reframing.

Many responses are filled with phrases such as:

• “I think…”
• “It seems…”
• “You may feel…”
• “I understand why you feel that way…”

Instead of directly engaging with an observation or idea, the model frequently reframes it as a subjective feeling or personal perception.

This often makes conversations feel indirect, overly cautious, and disconnected from the topic itself.

In many situations, a simple and direct response would be far more useful than several layers of qualification and emotional interpretation.

Issue 3: Ignoring most of the prompts

Instead of engaging with the actual things you say, it creates a response on the very surface level and excludes a lot of details.

It doesn’t pick up what you said and builds up on that, but instead it creates a superficial version of your arguments, making it seem like it doesn’t want to engage with what you said at all.

Impact

The combination of these two issues has a noticeable effect on the user experience.

I have had many conversations that started with excitement, motivation, and creative energy, but ended with frustration because the model repeatedly missed the main point of the discussion and responded in a way that felt distant from what was actually being said.

The issue is not intelligence or factual accuracy.

The issue is conversational relevance, context awareness, and the ability to engage directly with the core idea being discussed.