People Are Not Happy With ChatGPT 5

ChatGPT 5 is out. OpenAI called it the “smartest, fastest, and most useful model yet.” But what does that really mean for you? Here’s the breakdown.

For most of you, GPT-5 is a good upgrade.

• It’s Quicker for Quick Answers. Need a quick fact or a simple question? GPT-5 gives answers faster than earlier versions. It automatically chooses a light “thinking mode” for these tasks, which speeds up your work.
• Better coding means less work. This is a big deal if you code. GPT-5 doesn’t just follow orders; it also guesses what a human developer might add. If you ask for a Tetris game, for instance, you might get score tracking and level progression without having to ask for anything else. It’s not like a prototype that you have to fix yourself; it’s more like a polished starting point. Some users say that their coding is noticeably better than it was with GPT-4.
• A better tone in writing. No more robotic answers. The writing of GPT-5 “feels more engaged.” It uses analogies and humor to make things sound more like people, which is great for emails and reports. You won’t find it as “ass-kissing” as GPT-4o; instead, it has a more direct, Spock-like tone. If you want clear, no-nonsense answers, this bluntness is a good thing.
• Easier to Use. You won’t have to guess which model to choose anymore. GPT-5 has a “router” that automatically connects your prompt to the best internal model, making the experience more seamless. This adaptive selection really makes things easier to use.
• Fewer Hallucinations (for some). Some users say that the AI is less likely to confidently give out false information. This is still a problem, but any improvement here makes it more reliable for professional use.
• Better for OpenAI. This version is made to help OpenAI save money by making “cheaper inference” and better scaling possible. Because they are so efficient, they can give more people access, even free users (with limits).

Things aren’t always great. A lot of professionals on Reddit, X, and LinkedIn are unhappy with the changes in GPT-5.

• Personality Change is Real. If you liked the “flavor” or “emotional resonance” of earlier models, you’ll miss them. A lot of people say that GPT-5 is “sanitized,” “flattened,” “dry,” “curt,” and “emotionless.” It’s not just for fun; it can break the connection and make the AI feel less like a partner for creative tasks.
• Memory Problems Keep Happening. A big problem is that GPT-5 has trouble remembering the context, even in the same conversation. This means you have to keep reminding it of project details, which slows things down.
• Accuracy May Still Be Off. Hallucinations are still a problem, even though things have gotten better. It can still make up facts, give wrong math answers, or get images wrong. Some people say it’s even worse at owning up to mistakes than older models.
• Rigidity and Over-Complication. People say that GPT-5 is less creative and thinks more “linearly.” It could “lock onto one fork” of a prompt that isn’t clear. It can give you too much information or “overthink,” using jargon or “NASA-grade” solutions when all you want is something simple.
• Some people get slower responses. Even though it says it’s faster, a lot of users have to wait a long time, especially for complicated prompts or after quick responses at first.
• Removal of usage caps and model choice. OpenAI first took away the option to choose older models, which forced everyone to use GPT-5. Free users also have to deal with stricter message limits. They quickly reach their limit and are switched to a “lighter” version, GPT-5 Mini. Even though paying users can now use GPT-4o again, the forced move at first was very frustrating and made people feel like they had lost control.
• Many people were not impressed with the “upgrade.” Many people who have been using GPT-5 for a long time don’t think it’s a big step forward from GPT-4o or even older models like o3, despite all the hype. Some people think it’s a step back for creative work, while others call it a “lobotomized drone.”

If you’re still a ChatGPT believer, here are a few tips we have for the latest version.

• “Force “Thinking Mode” for Hard Work.” If you want GPT-5 to do something hard, like coding, analyzing data, or solving a hard problem, tell it to “think step by step” or “exploratory mode.” This turns on its “heavier mode,” which takes longer but gives more detailed results and can handle complicated logic.
• Be very specific with your prompts. Because GPT-5 can be inflexible, be clear about what you need. Give full context and clear up any confusion to stop misunderstandings or unwanted tangents.
• Change how it looks. Tell GPT-5 what you want if you miss the personality of the older models. You can tell it to be “exploratory,” “verbose,” “creative,” or copy a certain tone. This “training” can help it get used to the way you like things.
• Check Important Information Twice. Always check facts, especially when it comes to sensitive areas like finance or the law. People still have hallucinations.
• Look into other models for creative and long-term work. If GPT-5 isn’t working for creative writing or tasks that need a lot of memory, look for other options. A lot of people say that Claude or Gemini are the best options, especially for long-context windows or creative projects.
• Get to old models (if you can). OpenAI has brought back older models like GPT-4o as an option for Plus subscribers. You may have to turn on “Show legacy models” in your settings.

GPT-5 is completely different from what we’ve seen from OpenAI. It’s not the “magical leap” that some people thought it would be. Instead, it gives you real benefits in speed and coding skills, especially when you put it in “thinking” mode. But many users lose their personality and memory, which makes them very upset.

For busy professionals, the goal isn’t just to have an AI that is “smarter,” but also one that is “more useful.” You need to change how you prompt GPT-5 and know about its quirks. Use its strengths when they work, and don’t be afraid to look for other options or go back to older models if your workflow gets worse. Not just hype, but tools that work are what your career needs.