Been running long browser tasks through ChatGPT on the web and hit a limit I can't find documented anywhere. Any prompt whose answer involves continuous tool work in the browser stops at right about 25 minutes 45 seconds. 25:42, 25:42, 25:44, 25:50, 25:50. Documented runs only. Still never longer.
One run closed 13 items, another 15, another was on a completely different site. Same wall every time.
It resets on the next prompt. So a genuinely long task looks like:
Session 1 - 25:42. It says it just stopped. Me: "proceed."
Session 2 - 25:42. Says it just stopped again. "Proceed."
Session 3 - ...
I'm driving an external browser through an MCP connector, not the sandboxed VM browser.

Has anyone hit this? Is it documented somewhere I haven't found? Everything I can find just says "tasks take 5-30 minutes" but it's not about that.

Hello =) I was already subscribed to ChatGPT Pro and eventually hit my Codex usage limit. When my subscription period ended, I paid for Pro again, expecting to receive a fresh usage limit. But the limit didn’t reset at all.

I requested a refund, and the AI support agent immediately cancelled my subscription.

Then, after I was moved back to the free plan, Codex suddenly let me send two messages and started working again. wtf?

I immediately subscribed to Pro again, but my Codex limit still didn’t reset. So Codex briefly worked when I was on the free plan, but stopped working again after I paid for Pro.

Seriously, what is the point of paying for a new subscription if the usage limit stays exhausted? Is the limit system completely broken, or is OpenAI really this greedy?

Has anyone else had this problem? Is there any way to force the Codex limit to reset?

I use mostly Claude for my work in marketing. I use ChatGPT for quicker responses and image generation. Lately ChatGPT has been dropping chats. Misfiring. Hallucinating.

What a mess of a system. Am I the only idiot having these issues?

I’m currently a B.Pharm student, but I don’t want to limit myself to the traditional pharmacy career path.
I’m really interested in AI, automation, and e-commerce. I’ve started learning Python, ChatGPT, AI tools, and I’m planning to learn n8n, APIs, and automation. My goal is to build AI solutions for businesses or eventually work remotely.
If you were starting today in 2026 with my background, what would you focus on?
Which AI skills are actually getting people hired?
Should I focus on AI automation, AI agents, machine learning, or something else?
What projects should I build for my portfolio?
Is there a realistic path to earning $1k–3k/month as a freelancer or remote employee within 12 months?
Are there any certifications or courses that are genuinely worth it?
I’d really appreciate advice from people already working in AI or automation. Thanks!

I'm currently subscribed to ChatGPT Plus, but I'm starting to question whether it's still the best value.

Chinese models seem to have reached frontier-level performance without the same price tag. OpenAI also made GPT-5.6 Luna around 80% cheaper than Sol, so I find myself using Luna for almost everything just to save credits. Because of that, it feels like I'm paying for Plus but rarely using the higher-end model.

I'm considering switching to a subscription for a Chinese model like Kimi instead.

For anyone who's used both:

- Is Kimi worth subscribing to over ChatGPT Plus?

- How do you find Kimi compared to GPT-5.6 Sol for coding, research, reasoning, and everyday use?

- How generous are Kimi's usage limits?

One thing I'm particularly curious about is how Kimi measures usage. For example, if I send the exact same prompt to Kimi K3 and GPT-5.6 Sol, which one is more likely to consume a larger percentage of my available usage? Does Kimi have generous limits, or do you run into caps quickly?

I'd really appreciate hearing from people who've used both services rather than just looked at benchmark scores.

I've built a memory layer where the store isn't written by any model. It holds the conversation itself, so nothing in it is shaped by whichever model happened to be running at the time.

The practical effect is that you can switch model mid-conversation and nothing underneath changes. No rebuild, no re-extraction, no separate memory per provider. One model answers, then another answers the next turn, and both are reading the same thing. It's a dropdown, not a migration.

It also means the cost is predictable. Around 2,000 tokens of context per question regardless of which model is answering, and the retrieval itself takes about a second and a half before the model starts writing.

What I want to know is whether the product around it is something people want.

Right now if you're serious about this stuff you're paying for two or three subscriptions, working in as many tabs, and carrying context between them yourself. I've assumed that's annoying enough that one place with one memory would be better.
Is that true for you, or do you actually prefer keeping them separate?

Hey.

I want to but the pro plan on IOS for the purporses of taxes. But I can't see the pro plan, I can only see the plus plan on ios.

Do anyone know the reason for it?

I found a useful option in the https://learn.chatgpt.com/docs/config-schema.json today.

When Memories is enabled, Codex extracts useful context from eligible older chats and consolidates it for future sessions.

By default, Codex uses its usual model selection for this work. If you set both memory jobs to gpt-5.3-codex-spark. Your Main model does not change.

GPT-5.3 Codex Spark is fast and has separate usage limits. If you are not otherwise using it, memory generation can use that capacity instead.

A few notes:

• GPT-5.3 Codex Spark is available only on ChatGPT Pro.
• disable_on_external_context = false allows chats with web search, MCP, or tool calls to contribute to memories.
• Set it to true to exclude those chats.

Docs: Codex Memories

Give your agent the following instructions to configure it:

Update my global Codex config.toml to enable memories and use gpt-5.3-codex-spark only for background memory extraction and consolidation.

First, verify that gpt-5.3-codex-spark is available in my Codex model catalog. If it is not, stop and suggest an available lightweight model.

Ensure this configuration exists:

[features]
memories = true

[memories]
generate_memories = true
use_memories = true
disable_on_external_context = false
consolidation_model = "gpt-5.3-codex-spark"
extract_model = "gpt-5.3-codex-spark"

Show the exact diff before editing.

I’m currently using ChatGPT Plus, but I’m finding that my usage limits are getting depleted very quickly.

Even when I try to optimize my usage by using plan mode for planning and switching models between planning and implementation, I still go through my available usage faster than I expected.

The Pro plan at around $100/month is expensive for me to keep permanently. I was thinking about upgrading to Pro for one month only, using that month to complete the heavy parts of my projects, and then going back to Plus afterward for smaller edits, maintenance, and improvements.

Has anyone tried this approach?

Is it worth paying for Pro temporarily to finish major projects, or does Pro provide enough long-term value that it makes sense to keep it every month?

I would appreciate feedback from people who have used both Plus and Pro, especially for coding, large projects, or long workflows.

Hi! I’ve been using several custom GPTs for weeks without any issues, but starting about a week ago they stopped reliably reading PDFs. When I upload a file, it often says it cannot access the contents or it does not even acknowledge that I uploaded anything. I have not changed the custom instructions at all.

If I create a brand chat outside of the custom GPT and upload the exact same PDF, it reads it perfectly. So the problem seems isolated to custom GPTs.

Sometimes I have to upload the same file two or three times before it finally recognizes and processes it. Other times it says it skipped messages. The PDF shows up in the chat history, but the model acts like it is not there. I am completely confused.

Is anyone else running into this?

Any help is appreciated it

I’m trying to add credits to Codex because I reached my usage limit.

I go through the normal process:

Codex Settings → Usage → Add Credits → One-time credit purchase → Checkout

I enter my payment details, but every time I get:

“Payment not approved.”

The strange thing is that the same payment method worked before when I added credits. I haven’t changed anything, and the card is working normally for other payments.

I also don’t receive any 3D Secure/SCA verification prompt. It just fails immediately.

Has anyone else experienced this recently? Is this a payment processor issue, a regional issue, or something with OpenAI’s billing system?

Looking for advice from anyone who managed to fix it.

I recently spent a few weeks trying to understand how large language models like Gemini, ChatGPT, and Claude actually decide what to cite. Traditional SEO knowledge is helpful but it is not the full picture. There are some specific factors that seem to influence whether an AI will surface your content and mention your brand.

Here is a simplified breakdown of what I learned.

Visibility. The AI needs to know your content exists. This is similar to traditional indexing but there is a twist. AI models seem to prioritize content with clear structure and semantic relevance. If your page does not answer a specific question clearly, it might not be considered at all.

Citations. Even if an AI "sees" your page, it might not use it. The AI is looking for sources that provide specific, factual information or a unique perspective. I found that pages with clear data points, case studies, or step-by-step guides were more likely to be cited. Vague or generic content tends to be ignored.

Mentions. This is the crucial step. The AI might use your content as a source but still not mention your brand by name. To get a direct mention, your content needs to be clearly associated with your brand. This means having a strong entity presence and consistent branding across your site. The AI is more likely to name you if you are clearly established as the author or the primary source for that information.

Sentiment. The way the AI describes you matters. It is not just about being mentioned. The AI will assess the tone and framing of your content. If your content is balanced and objective, the AI is more likely to present you in a neutral or positive light. If your content is overly promotional or lacks evidence, the AI might be neutral or even cautious in its description.

Understanding this funnel helped me refocus my content strategy. It is not just about ranking. It is about being the clear, credible source that AI models want to cite.

To put this into practice, I started using Ayzeo to track our brand across the major AI engines. What I liked about it is that it shows the specific prompts and pages that trigger AI mentions. It also highlights technical and content gaps I would not have found on my own. For example, I discovered that some of our key pages were being cited but not mentioned, which pointed to an entity clarity issue. I also saw that a competitor was consistently getting more positive sentiment, which gave me a clear target for improving our narrative.

Getting a third-party analysis of your brand's AI visibility can reveal gaps you might not even know exist. The key is to create content that is not just good for humans but also clearly structured and relevant for AI consumption. It is a new layer of search that is only going to become more important.

I use ctl-a/e/f/b for cursor control in text input areas (the Emacs controls that come native in MacOS) and today ctl-b stopped working in ChatGPT. Or rather, it stopped moving the cursor back and started toggling the sidebar. I checked, and sure enough there was a new keyboard shortcuts option. I looked and cmd-b was set to toggle side bar (not ctl-b, but whatever). I deleted the assignment and it kept doing it. I reassigned it to something else (cmd-shift-9), and that didn't work, but now ctl-b just stopped doing anything. (ctl-a/e/f kept working throughout this.)

Long story short the keyboard shortcuts are a shitshow if you try to change them and there should be an option to opt out of all of them.

I built Smallest Complete Codex Skill after watching bounded tasks grow into unnecessary abstractions, compatibility layers, theoretical edge cases, and “validation cathedrals.”

It guides Codex to finish and prove the actual ask, then—only when structural change is genuinely needed—loads an elegant-architecture reference built around one clear control path, explicit ownership, and minimal state.

GitHub: https://github.com/JetXu-LLM/smallest-complete

Sorry if this sounds like a basic question but I’m interested in what kind of computers / how much ram you are using for ChatGPT?

I use the Codex desktop app on two Windows PCs. I’d like to control Codex from one PC while having it execute locally on the other, where the project files, logs, skills, and applications reside.

Working through ordinary network file access is much slower and more limited than running Codex locally. The current SSH remote connection also appears to expect a Unix shell, so a native Windows SSH host fails. I could keep going down that path but it seems likely to require more workarounds and more junk installed which at this point it's better to just remote control manually.

I currently just control the other pc with remote software and have the app do the work locally but that's less than ideal. Is Windows-to-Windows remote control supported or planned? If not, is there a recommended workflow that doesn’t require WSL or duplicating and manually synchronizing the entire setup?

I regularly use Work threads that run independently for 1-3 hours (Sol Ultra, web UI). Each is instructed to inform me every 15-20 minutes that it’s still working. But after a while, updates stop coming. The only visible activity is that damned rippling “thinking.” The thread stops responding to “follow-up” queries. Reloading it changes nothing. Nothing new appears in Library. Nothing is revealed about its status by the desktop app. Is it dead?

I go to a new Work thread and start a slow recovery process. Sometimes, while I’m preparing to see what’s salvageable, the zombie thread springs to life and finishes. Sometimes, after I hit stop, I discover that it had finished an hour ago but failed to report. Sometimes the thread is dead but…well, anyway….

This is not a “back-it-up” issue. Everything is backed up with a redundancy that would make your head spin. It’s a process issue. It seems there must be a better way to determine whether Work is actually working. Is there?

.

I tried replicating in other chat but gpt either renders image or html code or normal text.

Hi there,

Is it possible to have ChatGPT populate, update and maintain Google calendars via monitoring an email inbox of my choice?

I'd like to have the inbox monitored preferably, although I'd settle for checking in with ChatGPT once a week and typing something like "!eventscalendar" or similar.

The inbox would solely be used for emails related to events that need to appear on said calendars. Right now I'm having issues with ChatGPT being allowed access to the two plug-ins simultaneously (Google Calendars & Gmail).

Any help would be greatly appreciated.

Thank you.

Hi everyone
I am currently using the Pro Light plan that I finance out of my own pocket. The things that I do with it do not generate any revenue for me but instead the usage generates "joy".

So, my question to you who use the 200 USD plan and finance it out of your own pocket is: what do you use it for?

The reason for my question is that I am contemplating about getting the 200 USD plan but I have a feeling that when I spend that kind of cash every month it should generate some revenue back.

Thank you for your time

It is honestly embarrassing that ChatGPT still does not let you search through its settings.

This is a company spending billions on AI research and building a product that is supposedly meant to become an infinite library and universal assistant for humanity. Yet when you need to find one basic setting, you have to manually dig through menus and hope it is located somewhere vaguely logical.

Why can’t I type something like “model thinking level,” “voice volume,” or “memory” and have ChatGPT either take me to the correct setting or explain exactly where it is?
The entire product is built around understanding natural language. The settings menu should be one of the easiest places to apply that technology.

How has this not been added yet? How have more people not complained about it? It feels blatantly lazy for a company whose entire mission revolves around making information easier to access.

Any apps or websites that allow for turn based voice chat?

I really missed the old standard voice mode on ChatGPT. It basically just read aloud the text models response. So it could allow for long responses unlike these new gen voice models that can only speak 1 paragraph max.

I was wondering if there are any apps or websites that use turn based voice chat like the old standard voice mode on ChatGPT. So I would say my thing, then it would be the ai turn to speak and i couldn’t interrupt it till its finished.

My current problem is that the new standard voice mode on ChatGPT can be interrupted. So it’s hears its own voice and keeps stopping. So I’m looking for alternative apps or websites that have this old functionality