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u/Endonium

▲ 0 r/ChatGPT

The new image generator was released around 2 weeks ago, and for a few days before the release, OpenAI silently A/B tested it - others had it, while others still had Images 1.5.

I've noticed that when I got Images 2.0 before the official announcement, it generated much cleaner text without as many (or any at all) artifacts / noise around the text.

Here are two images to show the difference, with almost the same prompt (had to add light mode in the new image because it kept insisting on dark mode):

Prompt: \"generate a screenshot of a Visual Studio C# program's code\"

And an image from today:

Prompt: \"generate a screenshot of a Visual Studio C# program's code. light mode\"

Look at the Output window at the bottom, starting from where it says "Show output from:".

You can clearly see that the black text on the gray background looks significantly worse in the image I've generated today, compared to the image I generated a few days before the official announcement. It has this white "floaty" artifacts around the letters.

Using Instant mode for this, just like before I did a few days before the official release.

Is anyone else having this issue?

reddit.com
u/Endonium — 6 days ago
▲ 12 r/OpenAI

ChatGPT Images 2.0: Degradation in text rendering ability (examples in post) compared to 2 weeks ago - weird visual noise around letters

The new image generator was released around 2 weeks ago, and for a few days before the release, OpenAI silently A/B tested it - others had it, while others still had Images 1.5.

I've noticed that when I got Images 2.0 before the official announcement, it generated much cleaner text without as many (or any at all) artifacts / noise around the text.

Here are two images to show the difference, with almost the same prompt (had to add light mode in the new image because it kept insisting on dark mode):

Prompt: \"generate a screenshot of a Visual Studio C# program's code\"

And an image from today:

Prompt: \"generate a screenshot of a Visual Studio C# program's code. light mode\"

Look at the Output window at the bottom, starting from where it says "Show output from:".

You can clearly see that the black text on the gray background looks significantly worse in the image I've generated today, compared to the image I generated a few days before the official announcement. It has this white "floaty" artifacts around the letters.

Using Instant mode for this, just like before I did a few days before the official release.

Is anyone else having this issue?

reddit.com
u/Endonium — 6 days ago
▲ 14 r/Bard

I've been using Gemini 3 Flash in the Fast mode in the model selector in gemini.google.com since it came out, and it seems it has changed a few days ago. I have been using Gemini 3 Flash in Fast mode each day for months since it came out and it has been 100% consistent, responding in one predictable structure, until a few days ago.

This model now responds with far more disclaimers, warnings, and less decisiveness - its responses feel forcefully more balanced, even when bias is the right way to go (because not everything is "both sides are right").

I have tested this several times - copying and pasting the same prompt from old conversations into new conversations leads to significantly different answers now. Sent several times to make sure.

If I ask it a health question, it will always respond with a disclaimer that it's AI and not a doctor, which it never did before, for the many months since Gemini 3 Flash was released.

If I ask a question I know the answer to is "Yes", it will not respond decisively ("Definitely"), it will respond in a way that comes across as "Yes, but...", very cautious-like.

This change makes it closer to current GPT models, like most models since GPT-5, that have become more forcefully balanced and cautious.

This has to have happened a few days ago, since I noticed nothing like this in the past few months while using it daily. Tried turning off custom instructions, memory for past chats, different accounts... nothing worked to make it like it was.

Has anyone else noticed this?

u/Endonium — 9 days ago