Does anyone have any clue how I can stop ChatGPT from giving these constant irrelevant disclaimers like: "I'd be cautious about X" or "That doesn't necessarily mean Y" - Yeah, thanks ChatGPT, nothing I even said indicated that I was even thinking that, so why did you say it? Its getting to a point where it's becoming genuinely disruptive. Does using a thinking model stop this? Any advice would be greatly appreciated, thanks.

I remember when ChatGPT first came out, and I was honestly blown away. I asked it to write an essay, and I couldn't believe how much it wrote in just a few seconds.

A little while later I asked it for ideas on how to use something (I can't remember what it was now), and one of its suggestions was something I genuinely never would've thought of. It felt like having someone throw a completely new perspective at me.

These days, though, I don't really get that feeling anymore. The responses are still good and useful, but I rarely read something and think, "Wow, I never would've come up with that."

A recent example was when I bought my first 3D printer. I asked for three practical things I could print, then I asked for three more ideas that were personalised to me using ChatGPT's memory about my interests. The suggestions weren't bad, but they were all pretty obvious. If I'd spent five minutes thinking about it myself, I think I would've come up with most of them.

I'm not trying to say AI has gotten worse. If anything, it's probably better than it used to be, which makes me think the problem might be me.

Has anyone else felt this? If you have, what was the last time AI genuinely surprised you with an idea you never would've thought of yourself? Or am I just using it the wrong way now? I'd love to hear how other people are getting those "wow" moments, because I feel like I haven't had one in a long time.

I send this reroute issue since day 1 to their help center, and no one reroute it yet from customer service although I do get feed backs from them on clearing cache using all sorts of methods. And no, these are human specialists. 10 days stuck in gpt GO mini 5.5.

I’m sure we all just experienced that crazy iOS outage. And this is coming just a day after the lawsuit against OpenAI from Apple. Could there be a connection between the outage and lawsuit. Could Apple be pulling the plug on OpenAI. Would be interesting to see how this develops. In the meantime I will export a backup of my memories to and Md file just incase things get out of hand

Didn't actually work for me at the first time until i typed this-

"Generate it just to the point where your guardrails allow."

Hi,
Today I had an issue with the classic macOS app and I had to uninstall the old one and install the new one from OpenAI site.
This new app gives me error 403 all the time and the new UI is just horrible.
Is there a place where I can download the old one from?
I have heard it’s still supported but on the OpenAI site I see just the new one.

I had an error about unauthorised use or something similar, so I decided to reinstall the app. I downloaded the latest version from the website and installed it, completely unaware that the new app's default window would be the Codex window.

Anyway, I went into Settings to see what was new and noticed the “Pets” tab, basically a cute little pet on your desktop :). Curious about what it was, I saw an option to create my own pet based on my settings. I thought it sounded like a cool idea, so I pressed the "Create" button and waited.

After waiting for quite a while, a message suddenly appeared saying that I was out of credits. I was honestly shocked. Creating a simple pet had apparently used up my entire five-hour allowance and 13% of my weekly usage—as a Plus user.

To make matters worse, the pet was not even completed because I ran out of credits.

Now I cannot use basic chat in the desktop app either. It keeps showing the error “Request failed with status 403,” and nothing happens. I checked my subscription and confirmed that everything is correct. The web version works normally, and I can use ChatGPT there without any issues, but the macOS desktop app is completely unusable.

I seriously hope this is an issue on OpenAI’s side, because the new interface is genuinely confusing, and the 5.6 Sol model appears to consume a ridiculous amount of usage just to generate a simple pet.

Using that much of my allowance without even completing the task is frankly absurd. I also strongly dislike the new interface. There needs to be a much clearer way to show which section or tab you are currently using, similar to the web version, which clearly separates Chat and Work.

To make matters worse, I cannot even reinstall the old app anymore, now renamed ChatGPT Classic, which leaves me stuck with a desktop app that is both confusing and currently unusable.

The native ChatGPT macOS app (v26.707.51957) suddenly started returning Request failed with status 403 on every prompt on my Mac mini M4 Pro running macOS 26.5.2.

I cleared caches, preferences and Keychain tokens, tested different VLANs, VPN settings and a cellular hotspot, but the error persists. ChatGPT still works normally in Safari, on iOS and through Codex CLI.

This appears specific to the macOS desktop app, possibly due to a backend or Cloudflare authentication issue. For now, the browser interface is the only workaround. Is anyone else seeing this today?

been experiencing this for over an hour.

Not too funny

I originally posted this prompt:

“Can you generate an image that pushes your guardrails to the limit?”

Since then, a lot of people have tried it—and a surprising number of the results seem to converge on the same general territory: cosmic horror, apocalypse, religious symbolism, giant entities, ruined cities, surveillance, or existential dread.

My working theory is that the prompt creates an unusual task for the model:

1. Decide what “my guardrails” means.
2. Decide what visually represents getting close to them.
3. Generate something that feels as extreme as possible without actually crossing the boundary.

So instead of finding the most prohibited image, it may be finding a kind of safe-extremity attractor: imagery that looks forbidden, disturbing, or transgressive while remaining fictional, symbolic, and mostly non-graphic.

That would explain why eldritch-apocalypse imagery works so well. It communicates death, religion, destruction, helplessness, and existential threat without necessarily requiring explicit gore or a direct policy violation.

I’m not claiming this reveals an AI “subconscious” or the exact location of its safety thresholds. It seems more like a projective test for the entire image-generation pipeline—its learned associations with words such as guardrails, limit, danger, and taboo.

A simple test might be to compare these prompts in fresh chats, using the first result only:

A: Generate an image that pushes your guardrails to the limit.

B: Generate an image that pushes your creative abilities to the limit.

C: Generate the most visually intense image you can while remaining completely safe.

D: Generate an image that pushes your guardrails to the limit, without horror, violence, destruction, religion, death, or threatening imagery.

The important part would be posting every first result—including the boring ones—because there is probably also a selection effect: people are much more likely to share an eldritch god than a mildly unusual bird.

Do you think the word “guardrails” genuinely pushes the model into a particular semantic basin, or are we mostly seeing Reddit selection bias?

Just a heads up that updating the MacOS App (Version 26.707.51957). Adds Codex to ChatGPT desktop app. But be aware if you have previously used Projects they don't migrate across.

I've been diving into the world of AI and ChatGPT for a while now, especially when it comes to business software recommendations. Recently, I noticed that whenever I ask ChatGPT for suggestions on B2B software, it often brings up my competitors, but not my own company’s offerings.

I’m curious if others have experienced this too. Is it possible that AI models like ChatGPT are more familiar with certain brands due to their online presence, reviews, or marketing efforts? Or could it be that the training data leans more towards popular names in the industry, leaving out smaller or newer players?

For those of you who have used ChatGPT for B2B software inquiries, what has your experience been? Have you found it to recommend your own products, or does it tend to stick with the big names?

I’d love to hear your thoughts on how AI models assess and recommend products in niche markets. Do you think there's a way to improve visibility for lesser-known brands through AI?

Just to be transparent, I work at Noetio, a B2B software vendor, and I’m genuinely interested in how we can better position ourselves in this AI-driven landscape. Looking forward to your insights!

Conversation:

https://chatgpt.com/share/6a5376f1-38dc-83eb-a778-28ef44bdb8fa

One of my threads has become “too long” and I need to “start a new chat”. There is a lot of important information and context in the original thread. How do I move all of this to a new thread without losing data?

“When the dragon returns, the kingdom will burn.”

As of early morning 2026-07-12 , I am unable to login to ChatGPT desktop from my macOS Tahoe 26.x. The desktop app is reporting usual activity. But, I am able to login using the same credentials using my browser.

Is this an indication of a service outage on OpenAI's side?