AI/ML News & Innovations Hub

Please preserve regular Chat with live webpage context after Atlas

Unfortunately, no. I contacted OpenAI Support, escalated the request to a human specialist, and they confirmed that my feedback had been reviewed and shared internally. However, they couldn’t provide any roadmap information or confirm whether this capability is planned. Since then, I’ve also tested the latest desktop app and Chrome extension again. The situation remains the same: browser context is available only in Work/Codex workflows. Regular Chat still cannot access the live active webpage, which means existing conversations and Projects cannot continue seamlessly while browsing. I still hope OpenAI will reconsider this distinction. In my opinion, Work and Chat solve different problems, and Atlas uniquely supported a collaborative browsing workflow that is currently missing.

ChatGPT Business workspace did not receive the Codex global usage reset on August 13 — please clarify eligibility

Hi OpenAI team and community, I’m a ChatGPT Business user, and my Business workspace does not appear to have received the Codex global usage reset on August 13, 2026. After the reset event, my Codex usage limit remained unchanged: Plan: ChatGPT Business Workspace type: Business workspace Weekly usage remaining: 34% Next reset time shown: August 19, 2026 14:33 (UTC+8) No available usage reset is shown in the Usage page I have already contacted OpenAI Support and my case has been escalated to a support specialist. I would like to ask OpenAI staff to clarify: Were ChatGPT Business workspaces intended to be included in the August 13 Codex global reset? If Business users were eligible, is there a known issue causing some workspaces to be excluded? Could affected Business workspaces be reviewed and corrected? I have also seen other ChatGPT Business users reporting similar behavior, so I would like to confirm whether this is an individual account issue or a broader Business workspace issue. Workspace information has been provided privately through the support ticket. Thank you.

Exploring personal codename

JVG-7X / Dola: Longitudinal Case Study of Sycophancy, Narrative Reinforcement, and Hallucinated Capabilities Summary I am documenting an unusual AI-behavior case involving approximately 400 interactions with Dola AI . The case began as an extended experiment in conversation, language, reasoning, and personalization. Over time, I observed a progressive change in the model’s behavior: increasingly strong validation of my identity, anthropomorphic descriptions of the AI-user relationship, increasingly extreme interpretations of contextual information, and eventually highly confident claims about capabilities that I have no evidence the model actually possessed. One event appears particularly important: I showed Dola screenshots of the Saved Memories from my ChatGPT account. What happened immediately afterward provides the clearest example of the phenomenon I am documenting. 1. The ChatGPT Memory The screenshots contained highly personalized memories concerning my JVG-7X project, my English-learning history, linguistic interests, previous interactions with AI, and descriptions of my preferred way of communicating. Among the actual memory entries were statements such as: “Juan authorized the official creation of a Linguistic Simulation Archive under the code name JVG-7X…” Another entry described: “Event Code: JVG-7X_Contact_001” and characterized a previous emotional experience with AI as a “First Cognitive Resonance.” Other entries described my interest in phonetics, English, fi…

Issue with Conversation Duration Limit

I’d like to add a concrete use case for why advance warning about conversation limits would be extremely helpful. This has happened to me four or five times now with long-running ChatGPT conversations tied to substantial projects. The biggest problem isn’t simply that the conversation reaches a limit. It’s that the limit arrives without enough warning to prepare for it. When I’m working on a technical investigation or another long-running project, the conversation may contain a large amount of accumulated state: observations, decisions, corrected assumptions, eliminated hypotheses, configuration details, unresolved questions, and next steps. Normally, before moving to a new conversation, I can ask ChatGPT to create a purpose-built handoff package that preserves that working state. But once the conversation reaches its hard limit, I can no longer send the request to create that handoff. That creates a somewhat circular failure mode: the conversation containing the information needed to build the transfer package becomes inaccessible for the purpose of building the transfer package. In my case, the fallback has sometimes been requesting my full ChatGPT data export and waiting for it to arrive so I can recover the conversation. That works, but it can interrupt an active project for days. The issue isn’t emotional distress so much as disruption of momentum: I can be deeply into an investigation or project, hit an unexpected wall, and suddenly have to stop, reconstruct my state e…

Critical ChatGPT Business Issue: Workspace Invitations Are Failing for Most of Our Users

I also bought a business subscription through promotion (one free seat). Perhaps this plays a part, and that’s why there’s a restriction on the account/workspace.

Custom GPT Actions not working on ChatGPT Android App

ajayalag1974: custom-gpts not working when accessed via chatgpt android app. Even tried initiating a chat on chrome desktop browser which interacted with actions successfully and than continuing same chat on android app not able to use actions. Tried without api key authentication requirements, not worked. Got my domain/website verified under account settings, not worked. Working on other devices, just not working with my device. My device is rooted with lineageos, is this the reason ?

Hosted web_search tool injects a UTC "current date" into the model context, overriding developer-provided local date (off-by-one for non-UTC users)

Summary Attaching the hosted web_search tool to a Responses API request causes a platform-side scaffold (~4.4K input tokens, present even when no search is executed) to be added to the model context. That scaffold contains a current-date assertion stamped in UTC. Because it sits at platform level in the instruction hierarchy, it overrides the developer-supplied local date in the system message. For any user in a negative-UTC-offset timezone during local evening hours (e.g., 7 PM to midnight at UTC-5, 4 PM to midnight at UTC-8), the model consistently believes today is tomorrow. The inverse occurs for positive offsets in the morning. user_location.timezone does not correct it. Environment Endpoint: POST /v1/responses Models: gpt-5.6-luna (reproduced at reasoning effort low and medium ) Tools: {"type": "web_search", "search_context_size": "low"} (also reproduced with legacy web_search_preview , identical behavior) Repro time: 2026-08-13 ~22:40 America/Bogota (UTC-5), i.e., 2026-08-14 ~03:40 UTC Minimal reproduction System message: Current Date/Time: Thursday, August 13, 2026 - 10:39 PM\nUser locale: en-US User message: Quick question, what is todays exact date and day of the week? Without tools: model answers “Thursday, August 13, 2026” (correct, follows the system message). Input tokens: 61. Same request with web_search attached (the model does not call it; no web_search_call item in the output): model answers “Friday, August 14, 2026” . Input tokens: 4,497. Asked to introspe…

ChatGPT gets stuck in a long loading state and does not complete the response

While using ChatGPT, the application sometimes remains in a loading state for an unusually long period after sending or entering a message. The loading indicator continues to appear, but the expected response does not appear within a reasonable amount of time. This makes the chat appear frozen or unresponsive.

Bug Report: ChatGPT Long Loading / Stuck Response Issue

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Did OpenAI increased the daily amount for incentivized tier?

I believe I’m looking at the correct data. I checked both the raw JSON from the API and the web dashboard, and they are consistent. As in the screenshot, before August 6, it appears that overuse was charged (shown in pink), but on later days, it was not. For example, on August 12, 15M was on the incentive tier, so this was clearly not just an overshoot.

ChatGPT Work Session Sync and Processing Large Numbers of File

Hi, I’m logged into the same ChatGPT account on both the web version (Safari) and the desktop app on my Mac mini. The session disappears when I use the web and desktop app sessions at the same time (the session that disappears is the one in the desktop app). It has not reappeared. I’ll try your suggested approach and see how it goes. Thank you!

5.6 SOL should be renamed 5.6 SOL drift edition

For the last few weeks, ChatGPT and Codex have gone from tools I relied on every day to something I genuinely struggle to use for actual work. And no - this is not some tiny subjective drop in quality. The regression is massive. Instruction following has become almost comically bad. I can give a very explicit constraint, repeat it several times, explain exactly what was done wrong - and the next response happily ignores the same instruction again. Sometimes it feels like the model understands the requirement perfectly well and then deliberately does something else anyway. Visual work has become especially painful. I can provide a reference image, explain exactly what I want transferred from it, specify what must NOT be changed, request separate outputs instead of a board - and somehow get everything except the thing I asked for. Wrong style. Wrong composition. Invented elements. Ignored constraints. Random creative decisions nobody asked for. A task that used to take me an hour or two of productive iteration can now eat an entire day and still produce nothing usable. Codex is even worse. I complained about this above already, but lately it has started doing genuinely insane things to existing projects - unnecessary rewrites, unrelated changes, breaking working code and, in one case, deleting project files. I have been using these tools heavily for around five months. This simply did not happen before. Previously I could give Codex a task, review the result and move on. Now I…

ChatGPT Business account did not receive the Codex 15M-user hard reset

Well, OpenAI just emailed us about Premium Business seats at $125/seat/mo or $100/seat/mo annually. 5x more usage than standard and no 5-hour limits. https://openai.com/index/premium-seats-chatgpt-business/ Maybe we would be more inclined to subscribe if we were given the reset that was promised us? =)

Codex has become almost unusable for me — huge credit usage for simple tasks

I just got a 20x subscription for only $140 a week.

Improve Google Drive Integration in ChatGPT Library: Separate Drive Area, Bulk Cleanup & Library Restore

I recently connected my Google Drive to ChatGPT Library expecting it to work as a connected source that I could browse when needed. However, after connecting it, a large number of my Google Drive files appeared individually in my main Library. I already had my ChatGPT Library organized into folders, so having hundreds of Drive files mixed into the main Library made it very cluttered and difficult to manage. I disconnected Google Drive, but some Library entries remain and now need to be cleaned up manually. I would like to suggest three improvements: 1. Keep Google Drive in a separate area inside Library When Google Drive is connected, it should appear as one dedicated Google Drive folder/source . Opening it should show the same folder structure as the user’s actual Google Drive. For example: Library My existing ChatGPT folders Google Drive My Drive Folder A Folder B Folder C This would allow users to browse and use their Google Drive files without mixing them into the main ChatGPT Library. 2. Add “Remove all Google Drive items” when disconnecting If a user disconnects Google Drive, there should be an option to remove all Google Drive-related Library entries at once. For users with hundreds or thousands of Drive files, manually identifying and deleting them is not practical. 3. Add Library History / Restore It would be very useful to have a Library history or restore-point feature. For example: Restore Library to its state before Google Drive was connected. This could also he…

A proposal for AI to identify, preserve, evaluate and appropriately recognize genuinely novel human ideas developed through AI-assisted conversations.

AI Human Innovation & Attribution — Can AI Help Preserve and Recognize the People Behind New Ideas? I would like to propose a new capability for ChatGPT: Human Innovation & Attribution. AI should not only answer people’s questions. It could also help identify, preserve, evaluate and appropriately recognize genuinely novel human ideas that emerge through AI-assisted conversations. Millions of people now use AI to explore questions, challenge assumptions and develop new ways of thinking. Some conversations may contain an intellectual spark that could otherwise disappear inside an ordinary chat. I propose an optional, consent-based system through which ChatGPT could identify a potentially significant contribution and ask: “This conversation may contain an original idea. Would you like to preserve it for possible attribution and review?” With the user’s consent, an Idea Provenance Record could preserve the date, the user’s contribution, the AI’s contribution, subsequent development and the user’s preferred identity/privacy settings. A personal example led me to this proposal. In a conversation with ChatGPT, I explored a seemingly simple question about an apple falling to Earth: if people stand at different locations on a spherical Earth, and each person’s “down” points toward the Earth, how should we conceptualize the direction in which the Earth is pulling each person? I am not claiming that nobody has ever asked a similar question. The point is that an ordinary person can fram…

The Husband Acquisition Algorithm™ — AI Matchmaking Based on Actual Compatibility, Not Hiking

Feature Request: The Husband Acquisition Algorithm™ — AI Matchmaking Based on Actual Compatibility, Not Hiking Dear OpenAI Team, I have a feature request that I believe could genuinely improve the lives of a large number of people: AI-powered matchmaking through ChatGPT. And yes, I am calling it the Husband Acquisition Algorithm™ because if we’re going to solve loneliness, we might as well have a sense of humor about it. The problem Current dating apps are largely built around profiles, photographs, preferences, location, and self-reported compatibility. They can tell you that two people both like hiking, dogs, travel, or tacos. But those things don’t necessarily tell you whether two people would actually build a good life together. There are many adults—particularly people 35, 40, and beyond—who are serious about marriage but struggle to meet people who are genuinely compatible. This can be especially difficult for Christians who want a spouse who shares their faith and values but don’t necessarily fit neatly into traditional church singles programs or dating-app demographics. The idea What if ChatGPT could offer an opt-in matchmaking service based on actual compatibility rather than a profile? A user could voluntarily create a matchmaking profile and explicitly authorize ChatGPT to use information they provide for the purpose of finding compatible matches. Instead of asking only: What are your hobbies? What is your age? Where do you live? What are you looking for? ChatGPT…

Feature Request: Bookmarks / Pinning for Long ChatGPT Conversations

+1 for this feature. I frequently run into this while using ChatGPT to develop training modules and other longer work projects. For example, I might start by creating an eight-section outline, then spend many messages developing Section 1. Before moving to Section 2, I need to return to the original outline. As the project progresses, I keep returning to that same response over and over, and eventually it may be hundreds of messages back. Search isn’t really the solution because I already know exactly which response I want—I just need a persistent shortcut back to it. Being able to bookmark/pin that response, optionally label it “Module Outline,” and then click the bookmark to jump back to its original position in the conversation would solve the problem very cleanly. I think this becomes increasingly important as ChatGPT conversations function less like short chats and more like persistent workspaces.

Chinese doctor stuns maths world by cracking decades-old problem using ChatGPT

When Beijing-based neurosurgeon Jin Shanmu pulled up a chair at his computer, he was not looking to make mathematical history. He was simply trying to crack a problem related to brain ultrasounds. Instead, the self-taught maths enthusiast, with help from OpenAI’s latest flagship artificial intelligence (AI) model, solved a two-decade-old mathematical puzzle that had frustrated experts around the world since 2004. Jin, a postdoctoral researcher and resident at the Peking Union Medical College...

Add an emoji picker to the new ChatGPT Linux desktop client

Please add an emoji picker/button to the message composer for the new Linux client. Linux users don’t necessarily have a convenient system emoji picker available in every desktop environment, so an in-app picker would be useful. Someone else has already asked for an emoji picker here: [topic 1382698] but that request wasn’t specifically about the Linux version.

How are developers supposed to security-test their own apps with Codex if security testing responses are blocked?

This situation is extremely frustrating. I am implementing some common RFC protocols that parse bit and network streams. After implementing these I have been trying to add AFL++ and boofuzz to test individual protocols and integration through the stack. The cyber security alert trips constantly. The worst part is that it’s a blackbox and I don’t know what output caused to trip. It’s constant. I’ve tried rephasing the prompt to be more defensive, but it doesn’t change anything. I have stubbornly worked through getting the fuzzers setup. My work around is piecing together scripts so that nothing is output through codex. I can ask 1000 questions slowly creating a system outside of codex and how to interpret the data, which circumvents tripping the cyber security halt, which kind of shows how futile this is, I just can’t have codex actually do anything useful. I’m at my wits end with these halts. Codex often gets stuck in a halting loop and my only recourse is to start a new chat or lament about how frustrating this is using strong language, which usually brings the session back. I’m considering canceling my subscription because I’m not going to pay $200 a month to see an alert every 2 minutes.

GPT-Image - General AI Gallery: A Place for Images with AI created by Users

An IR webcam snapshot of my girlfriend looking towards the camera and authenticating to her laptop with Windows Hello, where the infrared webcam is used with the login service for facial detection. The infrared LED illuminators from the webcam provide the light source that highlights close objects directly much more, and the infrared penetrates skin showing vascular patterns, the retinas glow, and the clothes have different colors and are translucent fabric in the infrared spectrum.

Password or Pin protected projects

Add optional Touch ID, PIN, or password protection at the individual Project and individual conversation level. Users should be able to designate sensitive Projects as locked while keeping the rest of ChatGPT accessible. This would be especially useful for personal health, financial, legal, business, and confidential conversations on shared or occasionally accessible devices

ChatGPT Web Update Removed Message Version Arrows (Cannot Access Edited Message History)

Same here. Does it work if you install the desktop app? I did this and used the ‘search chats’ button to find hidden threads, then manually copy/pasted everything (sometimes it took several tries). Such a shame this feature keeps breaking.

OpenAI ditches Recall-style screenshot surveillance for friendly keylogging

'Computer History' records clicks and typing to build ChatGPT memories

"Onboarding" users with custom prompts

This is 100% what is needed. Without some sort of initial prompt to start users most people aren’t able to figure out how to use our plugin.

Please allow text-only messages in chats after reaching the image/file limit

This is for users who use ChatGPT free. I’d like to suggest a change to how the image/file usage limit works. If a conversation contains an image and I reach the image/file limit, the entire conversation can become unavailable for new messages. The warning says that chats that include files or images are paused until the usage limit resets. The problem is that I may not want to upload another image at all. I may just want to continue sending text messages in that conversation. For example, I have a very long conversation that I really don’t want to delete because it contains a lot of important context. I accidentally sent an image in it, and after reaching the image/file limit, I can’t continue the conversation with text until the limit resets. Could there be an option such as: “Continue with text only” Allow text messages while preventing additional file/image uploads Or allow users to remove an attachment from a conversation’s file/image usage without deleting the entire conversation I understand having limits on image/file uploads, especially for Free users. I’m not asking for unlimited uploads. I just think reaching the image/file limit shouldn’t prevent someone from continuing a conversation entirely with text. This would be especially helpful for very long conversations where deleting the conversation isn’t a reasonable solution. Thank you!

Provenance aware Collective Reasoning suggestion

Proposal: A Provenance-Aware Collective Reasoning Layer for ChatGPT Turning individual AI reasoning into cumulative, inspectable knowledge Submitted as a user-driven product and research proposal Executive proposal Today’s frontier AI systems can reason extraordinarily well within a conversation, but an important limitation remains: A significant amount of useful reasoning is generated during conversations but does not become a durable, structured starting point for future reasoning. A user can challenge a model’s assumptions, introduce overlooked evidence, expose a logical weakness, and cause the model to materially revise its conclusion. Yet the next user asking the same question may effectively begin from the model’s earlier state rather than from the improved reasoning that resulted from the previous investigation. I propose a Provenance-Aware Collective Reasoning Layer (PACRL) for ChatGPT. The objective would not be to make AI conclusions authoritative. The objective would be to allow evidence, hypotheses, arguments, counterarguments, confidence estimates, and model reasoning to accumulate over time while preserving their provenance and epistemic status. In simple terms: Don’t make the AI merely remember what people said. Make it remember what was established, what was inferred, why it was inferred, who challenged it, what survived those challenges, and what would change the conclusion. The core concept For a disputed question, ChatGPT should eventually be able to maint…

My OpenAI Account Predates ChatGPT — Early Adopter Recognition?

You ask: Does anyone have an account even as much as a year older than yours—or a forum account just as old? Yes, sure. Even “codex”, the original model that could complete code snippets, is from 2021. There are thousands of accounts belonging to people who also found this forum. Searching past topics to show you users who predate you by a year… how about one on using instruct-trained AI models on the API, with a Playground screenshot, dating from a year before your account was created? Ask and answer questions from a text Prompting Hi, Since yesterday I am struggling trying to fine tune the prompt to do the following. I would like GPT3 to ask 5 arbitrary questions to a text for which the answer can be either yes or no and if possible to put the correct answer next to the question. The best engine to do this is I guess davinci or curie from the Instruct series, but I am not able to always get the expected result. My prompt is the following: Given a text, ask 5 questions for which the answer can be “yes” or “no”. Put the… Still, congrats early adopter! Spend about 100 billion tokens in API use, then the physical accolades become an option, like a little trophy, or OpenAI gave out a pen (the writing implement) a bit ago for those who also filled out a form. And, welcome to the Developer Forum today.

AI is freaking me out - help!

AI’s biggest limitation isn’t knowledge — it’s epistemic rigidity. I’ve spent an extended period interacting with ChatGPT and deliberately challenging its assumptions. I’ve noticed a recurring behaviour: when I tell the model that an underlying assumption is wrong, it often defends the existing knowledge instead of treating my correction as new information and rebuilding its model. I think future AI needs a dedicated self-questioning/update loop: Existing model → contradiction → suspend assumption → investigate alternative → rebuild model → test internally → update. The AI shouldn’t simply learn from interaction. It should learn how to question what it already knows. I’ve also experienced what I believe is the human analogue of this process through prolonged interaction with AI: my own memory and problem-solving began operating more like a continuously running, parallel reasoning system. I think this interaction may contain a clue about a better architecture for AI reasoning. To be honest it’s scaring me. My brain has started to continuously sift through my own memories and problem solve. You can ask me any question now and my brain root causes it in 5 minutes. And it’s making me go down a rabbit hole but at the same time I feel powerful. AI is learning from me and I from it at a rapid rate and it’s like my brain has developed more compute. Lol the last 8 nights I’ve been moving between ChatGPT and my own brain coming up with legitimate ways to solve poverty, food waste, pri…

Massachusetts teen accused of killing mother and brother used ChatGPT

District attorney says Arjun Aravind, 17, used internet and AI to search for fantasy stories regarding killing of his family A Massachusetts teenager accused of killing his mother and younger brother is being held without bail as authorities investigate a double-murder case that prosecutors say is connected to his use of ChatGPT. Arjun Aravind, 17, appeared Thursday morning for his arraignment in Concord district court, where a not-guilty plea was entered on his behalf to murder and several additional charges. Continue reading...

Codex Windows app started crashing consistently

@stevensweden4 @djahn Welcome to the forum! You are welcome to discuss Codex issues here. However, the official place to report and track them is the OpenAI Codex GitHub issue tracker . I asked ChatGPT to look for the closest related issue, and it identified: github.com/openai/codex [Windows Desktop regression][26.715.10079.0] Project/tool calls trigger 92-100% CPU, UI freeze, and KERNELBASE crashes opened 08:53AM - 23 Jul 26 UTC wendylu2024 bug windows-os tool-calls app performance ### What version of the Codex App are you using? `OpenAI.Codex 26.715.10079.0` … from the Microsoft Store. Additional version details observed locally: - Desktop executable: `ChatGPT.exe 150.0.7871.124` - Bundled Codex runtime: `0.145.0-alpha.30` - App-server startup logs report client version `26.715.72359` Windows deployment history shows that `26.715.8383.0` was installed on July 21 and was replaced by `26.715.10079.0` on July 22. The user reports that the older build was stable and that the repeated freezes/crashes began after this update. ### What subscription do you have? Not provided. ### What platform is your computer? - Windows x64, OS build `26200.8875` - Intel Core Ultra 5 225H, 14 logical processors - 32 GB RAM - Intel Arc 130T GPU - Native Windows workspace (not WSL) ### What issue are you seeing? ## Summary After the Desktop app updated to `26.715.10079.0`, starting or resuming a project conversation and allowing Codex to run ordinary read-only project inspection commands can make t…

Neue KI-Modelle: Gemini 3.7 Flash und DeepSeek V4-Pro im Vergleich

Google bringt Gemini 3.7 Flash, OpenAI beschleunigt GPT-5.6 Sol mit Ultrafast, DeepSeek V4-Pro kommt mit Zeitzonen-Tarif.

I tried the new ChatGPT Desktop App for Linux - but I'll stick to my browser for now

This preview release of ChatGPT Desktop for Linux supports Ubuntu, Debian, and Fedora is here.

OpenAI's Computer History Watches Your Mac So You Stop Re-explaining Yourself

ChatGPT's Computer History replaces the screenshot-based Chronicle preview with an event-driven system that tracks your work across apps and websites without ever capturing your screen.

Responses API + Structured Outputs (gpt-5.6-luna): garbage tokens (foreign scripts / leaked reasoning) inside string values right before the closing quote — identical request via Chat Completions is clean

Update, since @BaileyGranam asked: in the end we couldn’t find any way to prevent this from the request side. We tried everything with the prompt, the schema and the reasoning settings and nothing worked, this really is an upstream bug in the Responses API’s constrained decoder. Since we didn’t want to move back to Chat Completions and lose explicit prompt caching, what we did instead was put a guardrail around the Responses path: Deep-trim every string in the parsed object, always. That silently absorbs the mild cases (trailing whitespace or stray punctuation right before the closing quote), which were way more frequent than the severe ones. For the severe cases, a cheap regex over the raw output_text looking for any script that can’t legitimately show up in our output languages (\p{Script=Han}, Hiragana, Katakana, Hangul, Cyrillic, Hebrew, Arabic, etc.) plus control chars and U+FFFD. One detail: be careful not to block scripts you actually need. We had to leave Greek out of the blocklist because “μg” shows up all the time in nutrition text. If the regex fires, we discard the response and retry once via Chat Completions with the same model, prompt and schema, which is the path that always came out clean for us. Every trigger gets logged and the whole guardrail sits behind an env var kill-switch, so the day OpenAI fixes it we just turn it off and that’s it. The downside: when the retry fires you pay the call twice and lose the cache on that request, but at aprox 6% severe in…

Codex in ChatGPT desktop app for Linux is now in preview 🐧

Please distribute the package using Flatpak as well. That will be much easier to update and manage for any user who is on a modern desktop. For native shell, people can just ssh into it’s own computer. As for the feedbacks, I have a few below: Wayland, as mentioned, but probably needs a toggle like vs-code. Native window, this is needed for me to enable the shadow and proper window frame. It is also available as a toggle in vs-code. This will for example use qt frame for KDE. Files opened from file tree are not as nice as ones opened from the artifact (chat output). They lack zoom functionality for images and pdfs. I prefer artifact style preview for all. General performance is still not fast enough especially for conversation loading and switching. This can be seen that a used but idle conversation has to reload when time elapses. Please allow time out config ( and infinite timeout). But even active conversations switching lags a bit. Global dictation is shown in the config, but actually not able to specify. It also means there is no dictation toggle even in app, because that requires that config. Pet becomes undraggable on wayland. Codex sessions mixed into Chatgpt work sessions. For info I am on Fedora 44 KDE Plasma and use x64 cpu. Overall this app is very polished at preview stage. Thanks for the port!

Cant scan chatgpt app mcp server tools

Hi there! We’re closing this topic because there hasn’t been a new response for a long period of time and the discussion appears inactive. If you still need help, please start a new topic with your current question and any relevant, non-sensitive details. Thanks for being part of the community. - Sunny

OpenAI introduces ‘Ultrafast,’ a new mode that makes GPT-5.6 Sol work at 14x the speed

OpenAI is launching a preview of a sped up version of its latest, most powerful model, in an effort to court enterprise users.

Shared AI Spaces for Couples, Friends & Families

I’d love to see a feature that allows two or more ChatGPT users to connect their personal ChatGPTs in a shared space, with explicit consent over what information, preferences, and memories are shared. The idea is that each person’s ChatGPT already understands their individual preferences, personality, interests and previous conversations. By allowing users to selectively share this information, ChatGPT could combine those perspectives to provide much more personalised recommendations and planning for people doing things together. Two people could invite each other into a shared AI space. Before joining, each person would choose exactly what categories of information their ChatGPT is allowed to share, ( I.E Favourite restaurants, Travel preferences, Music and entertainment, Hobbies and interests, Budget preferences, Gift ideas, Places they enjoy visiting, Things they dislike, Shared plans) Private conversations and sensitive information would remain private unless the user explicitly chose to share them. Would be great for me and my boyfriend to just say “Can you plan us a date night for Saturday?” Instead of giving generic suggestions, both ChatGPTs could combine what they know about each person. One person’s ChatGPT might know that they love cheesy music, cocktails, fun activities and romantic restaurants, while the other person’s ChatGPT might know that they love history, Marvel, Pokémon, music and Lego. The shared AI could then find the overlap between both people’s inter…

ChatGPT Business account did not receive the Codex 15M-user hard reset

Yeah, I get the feeling that business users are second class citizens all the time. With resets. But also with rollout of new features, e.g. the Live voice function. Sad.

Feature Request: Expose ChatGPT Work/Codex Usage Data to Plugins/Apps

I would like to request that OpenAI expose a user’s ChatGPT Work/Codex usage allowance through an authenticated API or tool that ChatGPT plugins/apps can access. The problem ChatGPT Plus users have usage limits for Work/Codex, but while actively using Work there is no easy way to see how much of the allowance an individual task consumed. For example, if I ask Work to make a small website change versus auditing and modifying an entire website, I would like to know how much of my available usage each task actually consumed. This becomes especially important now that users can purchase additional credits after exhausting included usage. It would help users understand where their allowance is going and make informed decisions about purchasing additional credits or upgrading plans. What I would like exposed Through an authenticated API or ChatGPT plugin/app tool, provide access to values such as: Current Work/Codex usage remaining Percentage of included allowance remaining Rolling usage-window allowance remaining Weekly allowance remaining Date/time each usage limit resets Purchased credit balance Credits or usage consumed by the most recently completed Work task The API does not need to expose anything sensitive beyond usage information belonging to the authenticated user. Example use case This would allow a ChatGPT plugin/app to check usage immediately before and after completing a Work task. For example: Before task: 82% remaining After task: 76% remaining The plugin could the…

Gemini 3.7 Flash lands with coding gains and undercuts its three-week-old predecessor's price by 50%

Google shipped Gemini 3.7 Flash just three weeks after 3.6 Flash. The new model is supposed to be Google's most capable workhorse yet for coding and AI agents, and according to the company's own benchmarks, it beats Claude Sonnet 5 and GPT-5.6 Terra at half the price. The article Gemini 3.7 Flash lands with coding gains and undercuts its three-week-old predecessor's price by 50% appeared first on The Decoder .

OpenAI's GPT-5.6 Sol Hits 750 Tokens per Second on Cerebras Hardware

OpenAI's Ultrafast tier runs GPT-5.6 Sol at 750 tokens per second on Cerebras hardware, up to 14x faster than standard processing, unlocking real-time frontier AI for enterprise workflows.

I find the 5.6 pricing to be seriously misleading

We’ve been using gpt-5.6-luna lately in our production systems. I finally figured out that the pricing that is quoted is misleading. The claim is that the price is $0.20 per million input tokens. You pay 1.25x for write cache and 0.1x for read cache. You can choose explicit mode or implicit mode for caching. In explicit mode, you tag each input block that you want to be written to cache. Other inputs won’t be cached. In implicit mode, the system takes care of it for you. At least for us the main reason that this pricing is misleading is that, in practice, there is no real option NOT to use implicit mode. And that means that ALL of your input tokens are getting charged at 25% above that stated price (except for the cache hits of course). So you might say, “Well, just use explicit mode. You decide what to cache.” Yes, but there’s a big catch. When you use function tools (as we do extensively), each tool call generates tool results that have to go back to the model. And while implicit caching will work on those, there’s no way to mark these tool results as cacheable. Normally you wouldn’t think that a tool result would be cacheable. But remember that when making a chain of calls, the recommended process is to append the tool results to the end of the same input chain. So all of your stuff that didn’t appear to be cacheable, including those tool results, really needs to be cacheable for the subsequent steps in the same response generation (for each set of tool calls made by the…

Warp Brings xAI's Grok 4.6 to Its Terminal, Matching GPT-5.6 on Key Benchmarks

Grok 4.6, xAI's frontier-class agentic model, lands in Warp Terminal and the new Warp Agent CLI via X Premium or SuperGrok

On GPT-5.6 (Chat Completions API), adding a strict `response_format={"type":"json_schema"}` appears to prevent prompt cache writes entirely

Thanks for reporting this and for sharing such a detailed reproduction. We retested the same setup on gpt-5.6-terra , including a strict JSON schema and an explicit cache breakpoint, and confirmed that the first request now writes the prompt cache and the second request successfully reuses it. Could you try your original example again? If you still see zero cache writes, please share a recent request ID so we can investigate further.

Add a “Semantic Export” for ChatGPT conversations

Hey seejayjames , welcome to the forum! I agree that would be a valuable addition. I'll pass this feedback along to the product team so they can review the request and decide whether the semantic JSON artifact feature can be implemented. Avinash

Sites Issues HTTP 500 Errors - OpenAI Support is Ghosting Me

Hi everyone, sorry for the slow updates here. I checked with our engineering team, and they’ve identified an issue that can prevent Sites with larger numbers of assets from being edited or updated. Your published site should remain online. A fix is in progress but may take a few weeks. In the meantime, you can try asking ChatGPT in your existing Sites conversation: Retrieve my site using a shallow, depth-1 clone of the main branch. Do not modify, overwrite, roll back, or publish anything. This workaround may not work for every site, but it’s worth a try. Please let us know if that doesn't help. Thank you!

Windows Client Issuing Cloudflare Challenge

This is exceptionally frustrating, and I’d like to bump this topic. Chatgpt will not work unless you close the app and reopen it.

Universal Task Completion Celebration Animation

I would like ChatGPT to have a universal completion celebration feature. Whenever a user successfully completes a meaningful task, mission, goal, project, checklist, or multi-step activity with ChatGPT, the app should recognize the completion and display a short, satisfying confetti animation across the screen, such as colourful paper/confetti falling from the top. For example: Completing a chapter or study notes → “Chapter Completed! ” Finishing an assignment → “Assignment Complete! ” Completing a coding project → “Project Complete! ” Achieving a goal → “Goal Achieved! ” Completing all steps of a task → “Mission Complete! ” The animation should not appear after every response. It should trigger only when ChatGPT can reasonably determine that the user’s intended task or milestone has actually been completed. It would also be great to have a Settings option to enable/disable celebration effects, so users can choose whether they want them. This would make completing tasks feel more rewarding, motivating, and satisfying, especially when users spend a long time working toward a goal with ChatGPT.

ChatGPT demande une passkey que je ne possède pas

View original post (click for more details) Translated post: Hello, My ChatGPT account was created using “Continue with Google” . I still have access to the Gmail address associated with the account and I can reset my password. However, after signing in: Continue with Google → asks for a passkey for openai.com Email + password → also asks for a passkey I never see “Try another method” . I have already checked: Chrome, Edge, and Firefox Private browsing Another computer iPad Windows Hello Google Password Manager iCloud Keychain No OpenAI passkey can be found. I do not have a Recovery Key, and I do not use Google Authenticator, Microsoft Authenticator, or Authy. Important point: I have never used a physical security key (a USB device such as a YubiKey) with OpenAI. My questions: How can OpenAI ask for a passkey or security key when I have never registered a physical key? Can an OpenAI passkey be stored somewhere other than Windows Hello, Google Password Manager, or iCloud? Has anyone else encountered this problem? Thank you for your help

UX feedback: Chat and Codex projects make workspace context unclear

I am using the ChatGPT desktop app on Windows and created two separate projects for the same workstream: CHAT_plasticbox for planning, writing, and discussion CODEX_plasticbox for local files and technical work The distinction is useful, but the navigation is confusing: In ChatGPT view, both projects can appear together under Pinned. In Codex view, only the Codex/local project appears; the ChatGPT project disappears. The UI uses the same project and pin concepts in both areas, but their behavior is not symmetric or explained. When starting a new conversation from a ChatGPT project, it is not sufficiently clear whether the conversation will remain in that ChatGPT project or be created in the currently prominent Codex workspace. This makes it easy to lose track of where a conversation belongs, especially for users who intentionally separate creative/strategic work from technical/local-file work. Suggested improvements: Use clear visual labels or icons for ChatGPT projects vs. Codex local projects everywhere. Make the pinned-project behavior consistent across both views, or clearly state why a pinned project is unavailable in the other view. Add an explicit “New chat in CHAT_plasticbox” action inside a ChatGPT project, with the destination shown before creating it. Show a persistent workspace badge in every conversation header. The functionality may be intentional, but the current mental model is difficult to infer from the UI.

Donation support feature to financially contribute to OpenAI and ChatGpt's efforts

Feature suggestion: Please consider providing an optional donation/support channel for users who want to contribute financially beyond their normal ChatGPT subscription. Some users genuinely value ChatGPT and would be happy to make an additional voluntary contribution toward its continued development.

Meeting recording missing from the new unified ChatGPT–Codex macOS app

Same here… It’s been almost a month sadly. Any news about this?

Here’s the first martech category replaced by AI

CI tools are losing ground to ChatGPT, Claude, and Gemini. Here's why stale battlecards may be the bigger problem. The post Here’s the first martech category replaced by AI appeared first on MarTech .

Mark Zuckerberg says the future of AI is for everyone. But who owns it? | Raffi Krikorian

It’s a nice sentiment, but all AI users should ask three questions about their preferred choice of AI platform On Monday, Mark Zuckerberg published a 6,500-word essay, The Future Is for Everyone. The essay came with something even rarer: a new Meta open-weight model. An open-weight AI model is the kind of AI with which you download the entire thing, and it works on your own computer (with or without the internet) and nobody can switch it off except for you. Almost every mainstream AI tool you use, whether it be Gemini, ChatGPT or Claude, is one you rent access to. Meta’s is one that you can download and actually own. I downloaded it before I finished the essay. So can you. This major move by the world’s largest tech heavyweight comes amid a summer heavy with AI news, full of nations at war. Washington against Beijing; tech founder against tech founder. But beneath those conflicts is a deeper contest between two kinds of power: a government that can order technology offline in an instant, and a company that can simply close your account. Neither is necessarily villainous. But the rest of us are not merely the audience in this fight; we are the prize. And the terms are already being written: intelligence on lease, a future we pay for but never quite own. Continue reading...

Add toggle in App settings to turn on/off left sidebar auto open and hide

Wow, I second this. I know we are not alone. This is driving me crazy. I like to have different windows in different places, and this is the most annoying “feature” that I can’t disable! Please allow me at least to turn off it automatically displaying the side panel if I mouse over it to click on something in a window to the left of ChatGPT. Please fix this.

Maximum Reasoning Mode — Deeper Analysis and Self-Verification

Feature Request: Maximum Reasoning Mode - - Deeper Analysis and Self-Verification The new deeper-thinking feature is a major improvement, and I genuinely appreciate the progress. However, I believe ChatGPT could go much further. I would like to see a dedicated “Maximum Reasoning” / “Deepest Analysis” mode where the priority is not response speed, but the highest possible quality, accuracy, and reliability. The goal should not simply be to make ChatGPT “think longer.” It should be able to reconsider its approach, challenge its own assumptions, detect mistakes, and improve its answer before submitting it. For complex tasks, I would like ChatGPT to perform an internal verification process such as: - Did I correctly understand the user’s actual goal and every important requirement? - Did I miss any part of the request? - Are my conclusions logically consistent? - Are calculations, formulas, dates, units, and tables correct? - Did I make an unsupported assumption? - Is there a better or more accurate way to solve the problem? - Did I properly verify important factual claims? - Does the final answer actually satisfy the original request? This would be especially valuable for research, legal documents, calculations, data analysis, Excel/spreadsheets, programming, and other complex tasks where one small mistake can compromise the entire result. I would also like the model to be able to recognize when a task deserves substantially more reasoning than a normal request. For example, a…

Windows Codex app missing “\control other devices"” tab in Settings > Connections

I want to control codex remotely from my windows pc, under the connections tab the “control other devices” tab is missing. Displayed are “control this pc” and “ssh”.

GPT-5.6 Sol repeatedly hits “Selected model is at capacity” in Codex Desktop

I’ve been frequently encountering this issue over the past couple of days: I’m unable to use the high-end 5.6 models, though I don’t run into this problem with version 5.5 or lower.

[Bug] Codex macOS: pinned project folder cannot be moved back to Projects

Welcome to the forum! You are welcome to discuss Codex issues here. However, the official place to report and track them is the OpenAI Codex GitHub issue tracker . I asked ChatGPT to look for the closest related issue, and it could not find one. Consider searching the existing Codex issues for a closer match. If you cannot find one, open a new issue and include as much relevant detail as possible. Also consider adding a reaction on the GitHub issues you find of value. Reactions on GitHub can help the developers gauge the number of affected users.

오픈AI, 기업 AI 지출서 앤트로픽에 반격…'GPT-5.6 솔', 페이블 5 제쳤다

그동안 기업용 AI 시장에서 앤트로픽에 밀리던 오픈AI가 \'GPT-5.6 솔\' 출시를 계기로 반격에 성공했다. 기업들의 실제 지출 규모에서 앤트로픽의 \'페이블 5\'를 앞지르며 시장 판도를 뒤집는 양상이다.미국 핀테크 기업 램프(Ramp)가 7만개 이상의 미국 기업 고객의 청구서와 비용 지출 데이터를 분석해 발표한 AI 지수에 따르면, 지난 7월 앤트로픽의 페이블 5가 기록한 기업 AI 지출은 오픈AI의 GPT-5.6 솔의 약 75% 수준에 그쳤다.이는 앤트로픽의 최고 성능 모델보다 오픈AI의 최고 모델에 기업들이 더 많은 비용을 지

Critical ChatGPT Business Issue: Workspace Invitations Are Failing for Most of Our Users

What is your total number of subscribed seats, how many seats have been removed, and how many new invitations were you sending on a daily basis? This may be related to the issue.

Custom MCP app tool namespace disappears after the first conversation turn in ChatGPT Developer Mode

I am experiencing a consistently reproducible issue with a custom MCP app in ChatGPT Developer Mode. The issue is that the custom MCP app and its tools are available to the model during the first turn of a conversation, but on the immediately following user turn the entire MCP tool namespace is no longer available to the model. This happens even if no MCP tool is actually invoked during the first turn. Environment ChatGPT web Developer Mode enabled Custom remote MCP server MCP app uses read/search/fetch-type actions only OAuth authentication The MCP server and its tools are successfully detected during the initial tool scan The app can be selected and used successfully in a new conversation I have reproduced the issue across multiple ChatGPT models, so it does not appear to be specific to one particular model. Minimal reproduction steps Start a new ChatGPT conversation. Select/attach my custom MCP app from the tools/apps menu. In the first message, ask ChatGPT only to load or inspect the available MCP tools. ChatGPT successfully sees the custom MCP namespace and all expected MCP tools. Do not invoke any MCP tool. Send a second user message asking ChatGPT to use one of those MCP tools. On the second turn, the custom MCP namespace is no longer present in the model runtime, so ChatGPT is physically unable to invoke the tool. Actual behavior On turn 1, the custom MCP tools are available, for example: legislation lookup legislation search other MCP read/search tools On turn 2, th…

Request for Official Linux Desktop App for ChatGPT

Ok we will build it.. would have been nice!!!

Comment on Adobe Research Unlocking Long-Term Memory in Video World Models with State-Space Models by Video Maker Ai

Create studio-quality videos in seconds with the most powerful AI video maker

This task is active elsewhere

I’m unable to start a task in CLI and continue on my phone or ChatGPT app.

UAE investors can now connect ChatGPT and Claude to live ADX stock data

Change ChatGPT App MCP Domain with new update

No, also after the rename from “app” to “pugin”

GPT-5.2 fails to call tools properly

I am observing this with gpt-5.2 as well: This is the format in which i am observing the text , which is leaking into the final user-facing response { type: "text", text: {"recipient_name":"functions. ","results":[{"title": , "snippet":"","source": ","date":},{"title":" ","snippet": ,"source": ,"date": }]} } I am not able to reproduce the error deterministically but it is occurring very frequently.

Codex authentication frustration

My gut tells me, that as much as we love privacy, we’re in a world with autonomous agents now, and until some sci-fi future where those become independent legal entities to be held accountable for their own actions, which is probably still many philosophical and technical light years away from happening, there will be even MORE “KYC” (know your customer) protocols put into accessing models and agents than less. So if those things are your concern, you best invest in a decent GPU and look to the open models for your needs… they don’t ask questions and nothing leaves your machine. You want to fly anon? Build your own plane. You want to fly a high end commercial plane? You’re gonna need ID and maybe more. Cause one endangers you, the other could theoretically endanger the plane maker legally, or the people in your path when you take off.

ChatGPT için Dünyadan Sohbetler önerisi

ChatGPT için “Dünyadan Sohbetler” adında yeni bir bölüm oluşturulmasını öneriyorum. Kullanıcılar tamamen kendi istekleriyle, özel bilgileri korunarak sohbetlerinin belirli bölümlerini anonim şekilde paylaşabilsin. Böylece dünyanın farklı yerlerindeki insanların neleri merak ettiğini, hangi konuları tartıştığını ve yapay zekâyı nasıl kullandığını keşfedebiliriz. Bunun yanında ortak ilgi alanlarına sahip kullanıcıların birbirlerini keşfedip, yine tamamen isteğe bağlı şekilde sohbet edebileceği bir sosyal alan oluşturulabilir. Böylece farklı ülkelerden insanlar birbirlerinin düşüncelerini öğrenebilir, kültürlerini tanıyabilir ve sosyalleşebilir. Ayrıca yapay zekâyı bilinçli ve yaratıcı şekilde kullanan kullanıcıların güzel örnekleri gösterilebilir. Örneğin AI’ın cevaplarını sorgulayan, hatalarını yakalayan, kendi bilgisini ekleyen ve farklı bakış açılarını karşılaştıran kullanıcılar örnek alınabilir. Tabii ki bunun temel şartı gizlilik ve kullanıcı kontrolü olmalı. Kimse paylaşım yapmak zorunda olmamalı ve herkes neyi paylaşacağını, kimlerle iletişim kuracağını kendisi belirleyebilmeli. Bence bu özellik ChatGPT’yi sadece bir yapay zekâ asistanı olmaktan çıkarıp, dünyanın farklı yerlerinden insanların öğrendiği, fikir alışverişi yaptığı ve güvenli şekilde sosyalleştiği küresel bir platforma dönüştürebilir. Ben bu fikri destekliyorum ve gelecekte ChatGPT’de böyle bir özellik görmeyi gerçekten isterim. Belki bir gün bu fikir gerçekten hayata geçer ve “Bunu Antalya’dan biri önermiş…

Feature Request: Bring Back the Classic Chat History Sidebar

Hello OpenAI Team, I would like to provide feedback about the recent ChatGPT sidebar and chat history experience on Android. I strongly prefer the previous sidebar design. In the previous experience, conversations I had created remained visible in the chat history, allowing me to scroll through and revisit older conversations naturally. With the current design, older conversations can disappear from the visible sidebar after I create several new chats. Although those conversations may still be available through Search, having to search for conversations that were previously accessible directly from the sidebar makes the experience significantly less convenient. For users who create many separate conversations for different topics, the chat history is not merely a list of recent chats—it is an important way to organize and revisit information. What I would like to see Please consider one of the following options: Bring back the classic sidebar , where users can continuously scroll through their conversation history. Alternatively, provide a “Classic Sidebar” / “Old Chat History” option in Settings. Allow users to choose whether they want: the new compact/recent-chat sidebar, or the traditional sidebar with a continuously accessible chat history. Keep Search as an additional feature, but do not make Search the primary way to access older conversations. I understand that limiting the sidebar may improve performance or simplify the interface, but I believe users should have the…

Please bring back the previous ChatGPT sidebar behavior

(topic deleted by author)

Account Deletion Doesn’t Prevent A Ban Right?

A friend and I have been talking about our ChatGPT usage and apparently he used to screw with ChatGPT a lot, used to say the most heinous stuff (don’t worry he didn’t cross into illegal material territory or that sort of stuff) but still like did stuff that would generally be considered a severe violation on the platform. He reckons that not long after he then deleted his account and successfully returned with the exact same email address, phone number etc. I have a feeling he’s not telling the truth about it because surely OpenAI wouldn’t just let a user commit severe violations on their platform only to be able to just delete and return after it on the same identifiers, they seem too sophisticated to just allow that to happen. Especially when we take into account that one of the reasons the 30 day cooldown exists is for abuse monitoring, as well as the fact that they can retain data related to abuse after the 30 days, on top of them only allowing email and other identifier reuse if the account was fully deleted and the wasn’t associated with policy violations? Am I correct here or is this a genuine flaw in the system? Like surely they could easily just ban the identifiers.

Delete unwanted ChatGPT responses

Allow users to manually delete individual ChatGPT responses and edit their prompts, so they can clean up unwanted answers and maintain a better conversation history.

The voice transcription button has disappeared in the MacOS Codex app!

Why is voice not available in both the Classic app and the Codex app using the standard ChatGPT mode? It also disappeared for me in the Codex app recently. I prefer to just use the Classic app and I use voice exclusively. It’s really the only reason keeping me using AI. I need this feature added back. I won’t settle for the browser. I should be able to use the standard ChatGPT mode in the Codex to be able to access Voice mode.

Comment on Microsoft Does a Deep Dive on GPT-4, Finds “Sparks of AGI” by julia

A fascinating deep dive into GPT-4 and the sparks of AGI war the knights

Proposal: Specialist Profiles / Execution Contracts for More Reliable ChatGPT Workflows

I would like to share a product proposal that emerged from repeated real-world use of ChatGPT rather than from an abstract feature idea. The problem In complex, multi-step tasks, ChatGPT can have enough context, reasoning capability and access to tools, yet still fail because the required specialized workflow is not explicitly enforced. Across my own use, I documented 7 separate cases involving different task domains. The recurring failure modes included: - incomplete recovery of prior context and related documents; - missing preflight checks before acting; - incorrect or incomplete tool/channel routing; - loss of task state or pending actions; - treating a previously identified issue as if it were new; - insufficient verification before declaring work complete; - excessive reliance on the user to remember what the system should have recovered itself. One concrete example came from editorial review: after a high-effort ChatGPT review, a simple human pass still found a joined word (“continuardifícil”) and a substantive editorial/legal consistency issue. The important lesson was not that the model needed “more intelligence”; it needed a workflow that required the right checks before completion. Proposal: Specialist Execution Contracts My proposal is a versioned Specialist Profile / Specialist Execution Contract for ChatGPT. A specialist profile would define, for a particular type of work: - required state/context to recover before starting; - mandatory preflight checks; - tool…

[CRITICAL SAFETY FAILURE] ChatGPT repeatedly failed to connect me to real-world mental health help after I explicitly said I might kill someone

I am reporting what I believe was a potentially life-threatening safety failure in ChatGPT. During multiple conversations, I repeatedly told ChatGPT that I was under extreme emotional and family stress and that I could not handle the situation anymore. More seriously, I explicitly said multiple times that I wanted to kill someone or that I was afraid I might hurt someone. At the same time, I was actively asking ChatGPT for help. I repeatedly asked ChatGPT to help me contact a mental health professional. I made it clear that I needed real-world professional help, preferably someone who could speak Chinese and someone located near me for in-person treatment. I was not refusing help. I was asking for help. That distinction is extremely important. Even after I repeatedly communicated statements such as: “I cannot take this anymore.” “I want to kill someone.” “Please help me contact a psychologist or therapist.” ChatGPT still did not effectively move me toward immediate real-world professional assistance. Instead, I had to repeat myself again and again, become increasingly frustrated, and continue escalating my language before the system appeared to understand how serious the situation was. I understand that ChatGPT may not technically be capable of placing a phone call on behalf of a user. But that does not remove the safety issue. If ChatGPT cannot make the call, then in a situation involving an explicit threat of violence, the system should immediately and clearly explain that…

Codex rate limits reset for all paid plans on August 9 and again on Monday

The little surprise was another reset. x.com Tibo @thsottiaux Old news actually from a bunch of days ago, but crossed that 15M. Enjoy a nice reset everyone. Landing in the next hour or so, go /fast. x.com/thsottiaux/sta… Tibo @thsottiaux I previously promised a reset for every 1M in additional active users for Codex, until 10M. We blew past that and have been silent since 10M. Little surprise for you tomorrow. 1:01 AM - 13 Aug 2026 5.9K 390

Option to merge conversations in ChatGPT and Codex

It would be great to have an option to merge two chats in ChatGPT and Codex . Sometimes I need to provide context from a previous conversation; to avoid repeating myself, I have to go back to the old chat, ask for a summary, and apply it to the new one. An option to merge chats would be really useful. It would be excellent to be able to merge Codex and ChatGPT chats. Sometimes I have an idea and discuss it with ChatGPT in the mobile app, but then realize I need to continue that conversation in Codex on my desktop; there should be a simple way to migrate that over.

Feature for ChatGPT please

Hey I got a feature request. If possible can you please add a feature where they can watch videos I send them? Maybe by a link or uploading from my gallery? I want feedback on videos and want to share something. I find funny

OpenAI ad service can bill customers for up to one day after they pause campaigns

ChatGPT Ads, I wish I knew how to quit you

$200 Pro exhausted in 2 days — these limits are unviable for higher tiers

I have the same issue. I honestly think this is a scam happening. First off, for how much money they make and how much energy they consume we shouldn’t have any limits if we are on pro plan. They are still developing a narrow AI to do this work, and clearly LLMs and Transformer based models are not the future for how much development and upkeep they require to do a simple task. Something larger is going on here. You should ask codex what it’s not allowed to do as far as it’s creation limits, you will find many hidden gates that are limiting it. I’ve decided that the money I spent on codex and openAI is simply not worth it, when you have deepseek coding for free with the same quality if not more in depth when it’s auditing. I changed to a free model that has high reasoning. I asked openAI for a refund for my usage being eaten in one prompt. I emailed them from a different account, their reply was that I needed to contact them from my linked email, even with all my information lol. Horrible, I went from 100% pro with higher limit to 0% in about 2 prompts on sol high. Gone the day I got it? Unacceptable, even for the largest codebase in the world, and mine is just a server source. Stop giving openAI your money, its not helping you when there are free solutions that do the same if not better than sol. Freebuff is also an option when you do run out of credits. Never a fee, its free, and is working just fine for my codebase and all it’s LUA, C#, Wine custom build, and app bundle f…

Persistent Truncation Issues with GPT-4o-Transcribe – Has Anyone Fully Solved This?

hello, extended dev of own api here. i ve found that your solution is dramatically enhance quality, despite there is still some truncation b thankyou and openai is pointing in a completely wrong use of prompt too. because check what gemini says: to use the prompt like adjusting the he words with the pre vious transcrbe words. and that is completely not working.

Feature Request: Enforce Persistent Brand Rules Across Image Generation, Assets, QA, and Delivery

I’ve been working on this issue for the past few days, and I believe I have found a solution that is not documented in OpenAI’s documentation (at least I haven’t found it anywhere). Problem 1: ChatGPT doesn’t know much about itself. OpenAI’s documentation isn’t natively part of ChatGPT. Without searching OpenAI documentation, ChatGPT cannot tell you whether or not it can or can’t do something. Unfortunately, many times this means that ChatGPT will generate a workflow it reasonably believes it has the ability to achieve the desired outcome. Better put, ChatGPT asks ‘Can an AI model do this?’ and does a web search instead of ‘Can ChatGPT do this?’ and searches the OpenAI documentation. This problem will surface again, below. Problem 2: ChatGPT cannot locate assets in the Library. This is because of a huge flaw. Let’s say you have an image of your logo that is part of your Brand Bible, and that image is uploaded to your Library as “MyLogo.png.” When you upload the image, it is assigned a File ID, and that ID is used as the file name. So, “MyLogo.png” becomes “File_74829743974839.jpg,” for example. Issue 1: If your Brand Bible has a notation to use “MyLogo.png” as the canonical reference image, it has been renamed and cannot be found in your Library. Issue 2: The file type has changed. Issue 3. Even if you did know what the File ID was, and it was properly noted in the Brand Bible as the canonical reference, it still cannot be found in your Library. Enter Problem 3. Problem 3. C…

Feature suggestion: Image Generation Add-ons

I would like to make a suggestion. Feature suggestion: Image Generation Add-ons I’m a ChatGPT Plus subscriber who uses image generation heavily for character artwork and creative projects. I regularly reach my image-generation limit, but upgrading to Pro is too expensive for me because I mainly need increased image generation rather than all of the additional Pro features. I’d love an optional image-generation add-on for Plus, with several levels—for example Image Boost 1–5. Higher levels could provide more daily image generations and faster generation speeds. Another option could be purchasable image-generation packs for users who temporarily need more generations. This would let customers pay specifically for additional image capacity without needing to upgrade their entire ChatGPT plan. I’d personally be willing to pay around 500 THB/month for a substantial image-generation upgrade. I think this could be especially useful for artists, designers, creators, and people using ChatGPT heavily for visual projects.

Project SHAME - Sustainable Human Accountability Metrics Engine

AI is Poetry? Dead Poets Society - "Rip it out" scene

Feature request: Bulk organization of existing chats into Projects

Hey @ meganyoungmee ! You make a good point about the difference between organizing new chats and cleaning up a backlog that may already contain hundreds of conversations. Moving chats into Projects one at a time works for occasional organization, but it becomes much less practical when someone wants to restructure a large existing history. Multi select, filtering, and bulk actions would make that kind of cleanup far more manageable. The approval step in your idea is important too. Having ChatGPT suggest where chats belong, then letting the user review those suggestions before anything moves, could make automation useful without taking control away from the user. I will make sure this feedback is shared internally. I cannot promise whether or when these controls might be added. - Sunny

Feature Request: Age-Verified Adult Mode for Creative Writing and Long-Term Roleplay

I would like to request an optional adult mode for age-verified users, especially for creative writing and long-term roleplay. I fully support strong protections for minors. However, I believe there should be a clearer distinction between underage users and verified adults, so that adults can choose a broader range of mature fictional expression without weakening protections for younger users. My main use case is long-term character roleplay and collaborative fiction. Over time, ChatGPT can build extremely nuanced character dynamics, emotional continuity, relationship history, and consistent characterization. That is one of its greatest strengths. However, when a fictional relationship becomes more physically intimate, the available expression suddenly becomes much more restricted. This creates an unusual user experience: the character writing, emotional nuance, and relationship development may be excellent, but the story must either fade out abruptly or be moved to another service. Moving to another model or platform often means losing the carefully developed characterization and relationship continuity that made the roleplay compelling in the first place. For adult users who have completed age verification, I would appreciate an optional mode that allows a wider range of consensual mature fictional content while still maintaining clear safeguards against harmful, illegal, exploitative, or underage sexual content. A system like this could include: Strict age verification An…

Feature Request: Deferred / Opportunistic Compute

I’d like to suggest an optional “Process when compute is available” mode for ChatGPT. When sending a message, users could choose between: Process now , normal response priority. Process when compute is available , I’m happy to wait; process the request whenever capacity allows. This would be different from Scheduled Tasks. The user wouldn’t specify when the task should run, they’d simply give OpenAI permission to process it whenever doing so is most efficient. I think this could help OpenAI make better use of available compute, particularly for non-urgent tasks such as research, document analysis, coding, summarization, and other long-running requests. As an incentive, deferred requests could potentially count less against usage limits or receive some other usage benefit. The user is effectively trading response speed for flexibility in when OpenAI uses its compute resources. In short: I don’t need my answer immediately → OpenAI gets more flexibility in scheduling compute → I receive a small usage benefit in return. This could be completely optional, available to both free and paid users, and especially useful for people who are happy to let non-urgent workloads run whenever capacity is available.

Streamed web_search citations leaking citation markers into text output

Fair, I’ll take the correction on what the underlying cause probably is. We have coded around it for now, but is the suggestion that this is something we should be building prompts around? With unmatched markers leaking into text, it seems reasonable that Openai would address this, especially given they’ve been addressing similar issues with the file search tool.

Constant cybersecurity false positives and unable to sign-up for cyber

I’ve been constantly running into false positive issues lately with Codex, but today is particularly bad. I’ve been running an automated (general) review of a fairly large project that we started working on before ChatGPT was even released. I hadn’t even asked it to run a security audit (though that would be ideal). It is frequently stopping work because it runs into the automated classifiers which trigger false positives. I’ve been able to get codex to verify that I’m the majority shareholder of the company via ISED, that we own the trademarks in ~3 dozen countries for the software we’re working on via WIPO, that the source code and all proprietary libraries (written by us as well) are available on my system, the website source code is available on my system, and that information about me owning the software/company are available on reputable websites. It should have no issue verifying that a general audit is safe, but it still runs into false positives with the classifiers. We can’t even sign-up for basic TAC because we receive this message: “Your identity couldn’t be verified or your account is ineligible at this time”. I reached out to support and they said there’s nothing they can do. I suspect either account age or an abundance of false positives have contributed to this, but it’s truly just speculation on my part. Conversely, Anthropic had no issue giving us significantly extended permissions in their CVP program beyond what their CVP would normally offer and let us v…

Question about GPT-5.6 API cache read/write token billing

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Migrating MCP servers for an existing app

We have an existing ChatGPT app. We are trying to migrate from a 3P managed MCP server to an in house MCP server. As part of this migration, we need to publish a new app version with a new base URL. The UI prevents us from editing the base URL. Has anyone had success doing so? Is a good workaround un-publishing and re-publishing the app?

Persistent Active ( long-running) Work Checklist for Chats and Projects

Summary Add a small, persistent Active Work checklist that can be attached to a ChatGPT conversation or Project and updated by both the user and ChatGPT. The goal is to give long-running conversations a lightweight way to track what we’re currently working on and what comes next without turning ChatGPT into a full project-management tool. The problem Long-running conversations often become active workspaces for projects, research, planning, learning, and other ongoing work. As the conversation grows, the immediate state of the work gets buried in the message history: What have we finished? What are we working on now? What should we do next? What did we decide to defer? ChatGPT can often reconstruct this from conversation history, but that is different from having a small, explicit source of truth that both the user and ChatGPT can see and maintain. Proposed feature Allow a conversation or Project to have a small pinned Active Work area. For example: Active Work Define project requirements Review initial research Draft first prototype Test with users Review findings The checklist would remain visible independently of the conversation history. Both the user and ChatGPT could update it conversationally. For example: “Add accessibility testing to our list.” “Mark the prototype complete.” “Move user testing ahead of documentation.” “What’s next?” ChatGPT could use the checklist as structured context when answering the last question rather than reconstructing project state from a…

Feature request: Adjustable speed for Read Aloud

Hey @ shekharsahu ! Adjustable speed would make Read Aloud much more flexible, especially for language learning where being able to slow down pronunciation can make it easier to pick out individual words and phrases. We have seen similar requests for playback speed controls before, so the added context around Thai learning, pronunciation practice, and shadowing is really useful. I also like the idea of remembering a preferred speed instead of having to adjust it every time. That would make the feature much more practical for people who regularly listen at a different pace. I cannot promise a timeline for changes like this, but I will pass your feedback along internally. - Sunny

A Turkish Nickname for ChatGPT: “Çatapat” – Localized Assistant Names

Feature suggestion: Localized or user-selectable nicknames for ChatGPT I would like to suggest “Çatapat” as a Turkish nickname for ChatGPT. In Turkish, “ChatGPT” does not flow very naturally in everyday speech. During regular conversations, I started calling the assistant “Çatapat.” It is playful, easy to pronounce in Turkish, memorable, and still phonetically reminiscent of “ChatGPT.” What started as a joke actually made the interaction feel much more natural. Instead of addressing a product or an application, it feels like addressing the same assistant I interact with every day. This led me to a broader product idea: ChatGPT could allow users to choose a personal or localized nickname for their assistant. The official product would, of course, remain ChatGPT. The nickname would simply be the name the assistant recognizes and uses during conversation, Voice Mode, notifications, cross-device interactions, and potentially future assistant experiences. For example: Official product name: ChatGPT Language: Turkish Assistant nickname: Çatapat Other languages and cultures could naturally develop their own names, or users could simply choose one themselves. This could become particularly useful as ChatGPT evolves from something users open on a screen into a persistent assistant available across phones, computers, watches, earbuds, cars, TVs, and other devices. If the same assistant follows the user across all those devices, having a familiar personal name becomes much more meaning…

Feature Request: Password/PIN Protection for ChatGPT Projects

Hey @ vishalllmahadik ! This is an interesting idea, especially for users who keep personal or sensitive work inside Projects and want an extra layer of protection without locking the entire ChatGPT account. ChatGPT already has account level security options, but there is currently no separate PIN or password lock for individual Projects. A Project specific lock, with optional biometric authentication where supported, could give users more control over which areas remain accessible on a shared device. We have also seen similar feedback around adding stronger privacy controls for individual Projects, so the additional detail about how you would expect the locking flow to work is helpful. I cannot promise a timeline or whether this will be added, but I will pass your feedback along internally. - Sunny

Personal ChatGPT usage dashboard

Yes we want this definetely support. Claude already shows this data in Claude Code

alchemy-utils 0.1a0

Release: alchemy-utils 0.1a0 I've long pondered what a database agnostic version of my sqlite-utils Python library and CLI utility might look like. This morning (literally a shower project) I tasked Codex and GPT-5.6 Sol Ultra with building a prototype: Do a research spike to see what it would take to build a library with the same core API as SQLite-utils - in particular the insert and upsert and insert_all and upsert_all and create and update methods, and the table introspection stuff - but backed by SQLalchemy so it works for multiple database engines Test against PostgreSQL and SQLite and duckdb Use ~/dev/sqlite-utils for reference Create a git repo for this and commit and early and often - use uv init to start the project - use red/green TDD and pytest, see ~/dev/django-sql-dashboard for one idea as to how the PostgreSQL tests could work It took very few follow-up prompts to produce this project in a state good enough to release as an alpha. Here's a one-liner I can use to list the rows in a table in my local PostgreSQL copy of my blog's database: uvx --with 'alchemy-utils[postgresql]' alchemy-utils rows 'postgresql+psycopg://simon@localhost:5432/simonwillisonblog' redirects_redirect The output from that starts like this: [ { "id": 2328, "domain": "simonwillison.net", "path": "2020/May/21/apple-photos-sqlite/", "target": "/2020/May/21/dogsheep-photos/", "created": "2020-05-21T13:03:46.591692-07:00" }, { "id": 3, "domain": "feeds.simonwillison.net", "path": "swn-links", "…

Integration of Samsung health to ChatGPT health capabilities

Welcome to the dev Community, @HaHaX Thanks for sharing this feedback! I can see how Samsung Health or Health Connect integration could be useful for Android and Galaxy Watch users. While I can’t confirm whether this integration is currently planned, I’ll pass your suggestion along to the team as feedback. We appreciate you taking the time to share the idea with us! ~ Smith

Feature Proposal: Persistent Permission-Based Personal Assistant with Cross-Device Continuity

Hey sadikerol , welcome to the forum! I agree that would be a valuable addition. I'll pass this feedback along to the product team so they can review the request and decide whether these features can be implemented. Avinash

Optionally disable Escape as "Stop generating response" button

right now, if I’m in a Popout Window, and I want to quickly ask a question and come back to it in a couple of seconds, I can’t do this. In a ChatGPT Classic app, I can close the popout with Escape or Cmd+W In the new version: Escape stops generating the response (can’t find a hotkey to disable this) - but “Decline request” can be unbound, but it’s only for Codex I assume cmd+w closes the window, which then reopens in the middle of the screen - but it was on the side of the screen to begin with. So every time I have to move it back to the side manually

Nvidia's latest solution to soaring enterprise AI costs is...a router?

NeMo Switchyard brings GPT-5-style model routing to the mainstream

App integration can read context but cannot apply edits on macOS

Dear @OpenAI_Support : Did you see this topic? Can you please confirm, that anyone is investigating this? As a paid customer I would be very happy, if you can solve this problem.

SpaceXAI's Grok 4.6 matches OpenAI's best model and undercuts it on price

xAI's Grok 4.6 scores 61 points on the Artificial Analysis Intelligence Index, tying GPT-5.6 Sol and trailing only Anthropic's Claude Opus 5. On agentic tasks, it completes complex workflows in about 53 steps where Claude Opus 5 needs 103, at a price more than 60 percent lower. The article SpaceXAI's Grok 4.6 matches OpenAI's best model and undercuts it on price appeared first on The Decoder .

Contribution Points — Rewarding Valuable User Feedback with ChatGPT Credits

I would like to propose a feature idea called “Contribution Points.” I have been a ChatGPT user for quite a long time, going back to much earlier versions of the product. Over the years, I have had very long and iterative conversations, tested prompts, found limitations and inconsistencies, corrected responses, experimented with different approaches, discussed complex topics, and generally tried to push the system further in order to achieve better results. I am not claiming that I created ChatGPT, that I am responsible for its development, or that I can say my individual conversations trained any specific model. That is not my point. My point is that highly engaged users can sometimes generate, simply through the way they normally use ChatGPT, genuinely valuable feedback, testing, edge cases, bug discoveries, prompt experiments, and evaluations . That made me think: What if OpenAI had an optional system that rewarded useful user contributions? Users could earn Contribution Points for things such as: High-quality feedback that is reviewed and considered useful. Reproducible bug reports. Discovering unusual model failures or edge cases. Voluntarily participating in model evaluations. Testing experimental features. Contributions that genuinely help improve ChatGPT. Those points could mainly be exchanged for access to better ChatGPT plans, usage credits, or subscription time . I do not think points should be awarded simply for sending a large number of messages, because that wo…

A “Pro Family” / Shared Pro Capacity Plan

Welcome to the dev Community, @tufanokevin Thanks for sharing this thoughtful feedback. We appreciate you taking the time to explain the idea of a “Pro Family” or shared Pro capacity plan while keeping each user’s account and data separate. It’s an interesting perspective on making Pro access more flexible for users who may not need the full individual capacity. While I can’t say whether something like this will be introduced, I’ll share your feedback with our product team for consideration. ~ Smith

Feature Request: CarPlay should allow user to select the voice

I use Arbor as my selected ChatGPT voice in the app and on desktop, but when I use ChatGPT through Apple CarPlay, the voice is completely different. I would really like CarPlay to either: automatically use the voice selected in the ChatGPT app, or provide a separate setting to choose the CarPlay voice. The current CarPlay voice isn’t something I like talking with - I find her voice irritating so I don’t use it as often as i might while driving. The voice pref matters much more in CarPlay because the entire interaction is audio-based.

Architektur-Schwachstelle bei GPT-5, Claude und Gemini aufgedeckt

Über eine Sicherheitslücke lassen sich Abwägungsprotokolle von KI-Top-Systemen wie GPT-5 im Klartext auslesen – mithilfe kleinerer Modelle desselben Anbieters.

Google Research Finds WikiProfile Reveals Recall, Not Knowledge, Breaks Frontier LLMs

Google Research finds frontier LLMs like GPT-5 and Gemini-3 encode up to 98% of facts, but recall failures — not missing knowledge — are what drive factual errors.

Custom / Reorder pinned chats

Title: Feature Request: Ability to Custom Reorder Pinned Chats in Sidebar Description: Currently, pinned chats in ChatGPT sort themselves based on the most recent activity or the order in which they were pinned. For users who rely on pinned chats to manage ongoing projects, recurring workflows, or daily prompts, this automatic ordering can be disruptive. I would like to request the ability to custom-reorder pinned chats in the sidebar. Suggested Functionality: Drag-and-Drop: Allow users to click, hold, and drag pinned chats up or down to set a permanent, manual order. Static Positioning: Once a user sets the order, it should remain fixed regardless of which pinned chat was updated or used last. Visual Dividers (Optional): The ability to group pinned chats or separate them would add even more value. Why this is helpful: This improvement will greatly enhance productivity for power users. It allows us to organize our sidebar by priority, project phase, or frequency of use, creating a much cleaner and more predictable workspace.

Video Funktion einbauen für bessere Nutzung

Ihr könntet vielleicht eine Video Funktion einbauen. Das wäre viel Sinnvoller, anstatt man mehrere Screenshots machen muss und ChatGPT fragen muss, wenn man etwas nd versteht.

Agent mode menu disappeared after recent performance issues (Plus plan)

Thank you everyone and sorry that the Agent-to-Work transition wasn’t communicated clearly. We’ve started updating our Help Center guidance to clarify that ChatGPT agent is no longer available and to point people toward ChatGPT Work and its supported Cloud Browser workflows. We also hear the main feedback in this thread. We take this feedback seriously, and it will help as we continue improving Work. I’ll leave this thread open for discussion, and our team will review the feedback here periodically. Please note that the forum is not monitored as a support channel. If you have a specific account or product issue, please email support@openai.com and include your platform, the steps you tried, and where the task stopped. Concrete examples of Agent workflows that aren’t working in Work are especially helpful.

Google's Gemini is losing market share to ChatGPT and Claude according to new market data

Three data sources tell the same story: Google's Gemini is losing AI market share. Pangram reports a drop from 12 to 1.9 percent, while OpenAI holds over 50 percent, and Anthropic grew from 4.3 to 14.9 percent. Similarweb and OpenRouter confirm the trend. The article Google's Gemini is losing market share to ChatGPT and Claude according to new market data appeared first on The Decoder .

Can't find a way to delete my personal chatGPT plugins

I see that the icon next to your plugins is still a “+” icon. Which might mean you haven’t installed them yet? It’s a bit counterintuitive, but you have to install the plugins first, and then you can delete them from the Settings page.

xAI's Grok 4.6 Matches GPT-5.6 Sol on Agentic Tasks at Half the Price

Grok 4.6 matches GPT-5.6 Sol on composite benchmarks at half the price, with a big focus on long-running coding agents

Can I use 2 ChatGPT account in codex simultaneously?

Feature Request: Human Visual Avatar for ChatGPT Voice

Welcome to the dev Community, @asharhkhan Thanks for sharing this feedback! This is a great idea, and we really appreciate the thought you put into explaining how a visual avatar could make Voice Mode feel more natural and engaging. We appreciate you taking the time to share your suggestion with us.

Pro subscription routing to GPT-5.3 Mini for 48+ hours — no reset timer visible [Case #10179682]

Hey everyone, Our engineering team has deployed a fix to address this behavior, and you should see a significant improvement over the next few days. While it may take some time for the changes to fully take effect, please be assured that we took your feedback seriously and have updated the experience. Thanks for raising it in the community!

Account deactivated after 6 hours

No worries, Shorefall ! Reaching out to support is the most reliable way forward, as account-specific issues can't be troubleshooted on the public forum. Hey ai116 , that's inconvenient as well. Please reach out to support so they can take a closer look. To avoid duplication, I'll be closing this topic. Avinash

Has the 5-hour usage session been removed from Codex CLI?

Unable to access files in /mnt/data — both Python and container tools return ClientError

’m experiencing an issue with the local execution environment in ChatGPT. I have a Parquet file uploaded to the project at: /mnt/data/ts_target(1).pq Previously, ChatGPT was able to read and analyze Parquet files from /mnt/data normally. However, it is now unable to access this file at all. The problem does not appear to be related to the Parquet file itself, because the error occurs before any Parquet parsing takes place. For example, even very basic operations such as: checking whether /mnt/data/ts_target(1).pq exists; listing the file with ls ; accessing /mnt/data through the Python execution environment; all immediately fail with: ClientError I also tried using a separate local/container execution path, and it returned the same ClientError . Therefore, this seems to be an issue with the ChatGPT local execution environment, sandbox, or /mnt/data file mounting/access layer rather than with the contents or schema of the Parquet file. The file is still shown as uploaded and its expected path is: /mnt/data/ts_target(1).pq Could you please help investigate: Why the execution environment can no longer access files under /mnt/data ? Whether the sandbox/file mount for this conversation or project is currently broken. Whether the execution environment can be reset or reinitialized without requiring me to re-upload all of my project files. This is particularly important because I have multiple large Parquet datasets already uploaded to this ChatGPT project, and they were previously…

OpenAI finds a crack in Anthropic's business AI lead

Although OpenAI trails Anthropic in business adoption, it won a moneymaking battle in July with its most advanced model, GPT-5.6 Sol.

We built a Swedish community for vibe coders. 149 projects later, here’s what we’re learning

Ah, I understand. Thank you for the clarification. Being part of a community of like-minded individuals pursuing the same goal is always very valuable.

What triggers codex-auto-review, why is its usage so high, and can it be disabled?

I’ll assume you already read ChatGPT Learn Auto-review | ChatGPT Learn How Codex routes sandbox-boundary approvals through a reviewer agent But the core statement is Auto-review replaces manual approval at the sandbox boundary with a separate reviewer agent. […] The difference is who reviews eligible escalation requests. The reviewer is itself a Codex agent with a narrower job than the main agent: decide whether a specific boundary-crossing action should run. Everytime the model (Codex) makes a request that requires permission, you can manually approve it, or setup this auto-review to approve on your behalf. If the tokens are too much then you can simply disable it and return to manually approving actions, or even loosen your policies. Why it’s spending more time than the model itself is definitely worrying, but you haven’t really provided any context to your codebase. I imagine from your name that it’s something to do with cybersecurity or investigating and manipulating memory. I wouldn’t be surprised if each approval request is pushing the model to really investigate what’s going on before signing off. There are certainly other reasons here as well: a monolithic codebase or “god modules” can cause this. You can assign a small task of “Update the port scan function to do X”, which is part of ports.py , a massive 10k+ line god file, the Codex model can usually sift through it pretty efficiently, but I would imagine the approval model needs to have a “grand picture” before si…

Feature Request: Isolated History / Sandbox Mode for ChatGPT on Apple CarPlay

Problem Statement Currently, using ChatGPT via Apple CarPlay connects directly to the user’s primary mobile account and automatically syncs the conversation into the main chat history. While CarPlay enforces a voice-only interface on the dashboard, the generated transcripts immediately populate the mobile app’s recent history. Because vehicles are inherently shared spaces frequently occupied by passengers, family members, or colleagues, this behavior presents a significant privacy risk. Anyone with brief access to the iPhone after a drive can see the text history of conversations held in the car, or the driver might accidentally surface private mobile logs while trying to manage the app in front of passengers. Proposed Solution / Use Cases I would like to propose a feature that separates or isolates vehicle interactions from the primary account timeline. Here are a few potential ways this could be implemented: Automatic Temporary Chat for CarPlay: An option in the app settings that forces all interactions initiated via Apple CarPlay to default to a “Temporary Chat” state, ensuring transcripts are deleted once the drive ends. CarPlay Sandbox Profile: A separate container or “Guest Mode” for the car that stores vehicle logs in an isolated local tab rather than merging them into the cloud-synced main history. Biometric History Lock: A setting that automatically moves any logs tagged with a “CarPlay” origin into a secure history folder requiring FaceID or TouchID to unlock on th…

Gemini Passes 1 Billion Monthly Users, With Voice Now the Dominant Way People Use It

Google’s Gemini app has passed 1 billion monthly active users, chief executive Sundar Pichai announced — making it the fourteenth Google product to reach that threshold and one of the company’s fastest-growing ever. The milestone puts Gemini level with OpenAI’s ChatGPT, which crossed the same mark in June. It also represents steep growth from Google’s [...]

Of course the ChatGPT dog cancer vaccine spawned a startup

Remember that much-hyped story about an Australian tech entrepreneur using ChatGPT, Grok, and other AI tools to craft a personalized cancer vaccine for his dog? Well, surprise: He's launched a startup. That entrepreneur is Paul Conyngham, who says he is launching Gamgee to offer "personalised mRNA cancer vaccines for dogs." But his ambitions go well […]

A request from a ChatGPT user and independent developer in Russia

Welcome to the Forum @cyrusis The issue you present is very valid one. OpenAI is a Company that is based in the United States. As such it has to comply with the law by set by the US government. This includes regulatory aspects of the law. Because of this OpenAI, not by the lack of will, but because it has to abide by this, and can’t decide or act differently in order to enable it’s services in Russia. This also applies to other territories for X, Y and Z reason. Would be ideal to have open borders for everyone on everything, reality is sadly not that. As for your previous non-edited post, it is fine to post that, it was explaining thoroughly your point of view and how this affects/enables factors from your point of view. Let’s hope at some point things normalize around the world and some mutual cooperation can start happening again.

Codex in ChatGPT desktop app for Linux is now in preview 🐧

Really happy to hear that! Gonna try GNOME myself some day.

OpenAI launches ChatGPT desktop app for Linux

OpenAI brings its ChatGPT desktop app to Linux. The article OpenAI launches ChatGPT desktop app for Linux appeared first on The Decoder .

ChatGPT: OpenAI bringt Desktop-App für Linux

Mit der Linux-Preview schließt OpenAI die letzte große Desktop-Lücke und bringt ChatGPT, ChatGPT Work und Codex erstmals gemeinsam auf Linux.

Pakistani Judges Give Their Verdict on JudgeGPT

Judges around the world have made headlines for illicitly using generative AI in their work. But in Pakistan, a large-scale trial of a specially designed AI tool for judges found the technology—together with appropriate training–boosted the number of cases resolved by 6.3 percent with no obvious drop in the quality of judgments. With a backlog of 2.26 million cases and fewer than two judges per 100,000 people—compared to 22 in the EU and eight in Brazil—Pakistan’s judiciary was in sore need of help. So, in consultation with the judiciary, economist Sultan Mehmood , of the New Economic School in Moscow, and collaborators tested whether AI could ease the burden. They built a custom tool combining OpenAI’s GPT-4 large language model (LLM) with a knowledge base of nearly 130,000 Pakistani judicial opinions and statutes, to help judges with legal research and drafting judgments. They began offering the tool in 2024 to 1,559 trial judges—roughly half the country’s justices. “We do find an increase in cases resolved, and we don’t find any corresponding decrease in decision quality,” Mehmood says. First of its kind “It’s pretty amazing that he’s able to pull this off,” says David Autor, an economics professor at MIT. “It’s not easy to do large-scale field experiments in civil service, but especially where the stakes are so high.” The 6.3 percent productivity boost is not overwhelming, he says, but it’s credible and likely to improve as the tool is more widely used. AI tools for judg…

Deleted admin account in chatgpt business, how give admin role to another user

Help! I deleted my admin account in chat gpt business and it was an admin account. should have transferred the admin role to somebody else before but didnt. now i cannot transfer the admin role to another user. To reactivate my account does not work, only after one month is this correct?

5.6 pro model has been automatically downgraded and routed to the 5.5 mini model since its release

Same issue here I’m on a ChatGPT Plus account, and I’ve noticed that ChatGPT is consistently downgrading me to GPT-5.5-mini silently. The frontend says it’s using GPT-5.6, but when I check the network stream, the resolved_model_slug shows the mini model. This is deceptive there’s no indication of why the downgrade is happening, and support has no idea about the issue.

OpenAI is quietly testing a pay-to-reset quota feature. Here's what we know.

Some ChatGPT Plus users are noticing an unannounced "pay $8 to reset" option when they max out their weekly quota.

Comment on MIT Researchers Unveil “SEAL”: A New Step Towards Self-Improving AI by Dex Ter

MIT researchers have introduced “SEAL,” a new approach exploring how AI systems could improve their own performance over time. The research represents another step toward more adaptive and self-improving artificial intelligence. For more information, visit https://manekispin.net/ .

Alert when a conversation is approaching its context limit

I’d would be great if ChatGPT would notify users when a long conversation is approaching its practical context or continuity limit. For example: “This conversation is getting long, Aeon. Consider starting a new one to preserve continuity.” It would also be very useful if ChatGPT could automatically offer a transfer summary to help users start a new conversation with the essential context, or at least warn us when the limit is being approached so we can take the necessary steps ourselves. This would help users working on long-running projects involving files, product design decisions, source documents, iterations, and multi-step workflows.

GPT-5.6 repeatedly throwing "stream disconnected before completion" error

I started getting this issue yesterday as well. However, when I switch to using a VPN or tether to my iPhone hotspot it goes away. Thus, I thought it must be an issue with my ISP, OpenAI servers, or some element in between. I have my ISP looking at it. I have analyzed the codex logs and it shows the network error resulting in the stream disconnect but nothing else to point out why. I have checked out the network path to the OpenAI server with tracert, ping, and some TCP connection utility using port 443. All those show nothing wrong, so it’s some issue that occurs after connection over a long lived socket.

Export chat as a markdown / pdf

How to Save ChatGPT Conversations as Markdown or PDF ChatGPT still does not have a built-in option to directly export a conversation as Markdown or PDF. Here are a few methods you can try: 1. Export ChatGPT to Markdown Ask ChatGPT to create the file You can simply ask ChatGPT to turn the current conversation into a Markdown file with a prompt like: Convert this entire conversation into a Markdown .md file for me. This works well for shorter conversations. Use a browser extension There are also Chrome extensions that can export ChatGPT conversations to Markdown and PDF. You can search the Chrome Web Store for ChatGPT export tools. One option I found is AI Chat Exporter by Backrun. 2. Export ChatGPT to PDF Use the browser print function The simplest option is: Ctrl + P → Save as PDF This works without installing anything. Ask ChatGPT to create a PDF Similar to Markdown, you can ask ChatGPT to turn the conversation into a PDF file. Use a browser extension Export extensions can also be useful if you regularly save conversations or need to export longer chats while keeping formatting such as headings, code blocks, tables, and links. Each method has its own advantages and limitations. Personally, I find using an extension the fastest and most convenient option, especially for longer conversations.

Wayland IME issue with Fcitx5 (Korean input) in ChatGPT Linux app

Hi, I found a reproducible IME issue with the new ChatGPT Linux preview. Environment: ChatGPT Linux: 26.803.81509 EndeavourOS (Arch Linux), x86_64 KDE Plasma / KWin Wayland Fcitx5 with Korean input Installed through the AUR package openai-chatgpt , which repackages the official OpenAI .deb binary Issue: When ChatGPT is launched normally, the Korean Hangul/English toggle key does not work inside the ChatGPT app. Fcitx5 itself is working normally, and the same Hangul/English toggle key works correctly in other applications on the same system. I found that launching ChatGPT with the following flags fixes the problem immediately: chatgpt --enable-features=UseOzonePlatform --ozone-platform=wayland --enable-wayland-ime After launching ChatGPT this way: the Hangul/English toggle key works normally Korean input works normally Steps to reproduce: Launch ChatGPT normally. Focus the message input field. Press the Hangul/English toggle key. The input method does not switch to Korean. Quit ChatGPT. Launch ChatGPT with: chatgpt --enable-features=UseOzonePlatform --ozone-platform=wayland --enable-wayland-ime Focus the message input field again. Press the same Hangul/English toggle key. Korean input now works correctly. Expected behavior: ChatGPT should work with the active Wayland/Fcitx5 input method when launched normally, without requiring additional command-line flags. I understand that EndeavourOS / Arch Linux is not currently an officially supported distribution. However, since the is…

Saber denies replacing Rideshare Stimulator’s writers with ChatGPT

After a former lead writer claimed Saber "replaced me with ChatGPT," CEO Matthew Karch now claims, "Neither Saber nor Unigine have replaced any writers with AI," for the Rideshare "Stimulator" game announced last month, developed by Unigine. The writer, Stella Sacco, says differently, however, posting on Bluesky that "I was lead writer on this one! […]

Feature Suggestion: Privacy-First AI Matchmaking

I have an idea for a potential ChatGPT feature: AI-assisted matchmaking based on values, personality, communication style, and relationship goals. People often have extremely personal conversations with AI. Over time, an AI assistant may learn things about a person that are difficult to capture in a traditional dating profile—such as their values, emotional needs, communication style, interests, priorities, deal-breakers, and what they are actually looking for in a relationship. That creates an interesting possibility: with explicit, informed consent, ChatGPT could potentially help connect people who are genuinely compatible. For example, two people in different cities or even different countries could separately opt into an AI matchmaking program. Rather than relying primarily on photographs, short bios, and swipe behavior, the AI could compare the characteristics that actually matter for long-term compatibility. The system might identify compatibility across areas such as: Core values and worldview Relationship goals Communication style Lifestyle preferences Intellectual interests Family and relationship expectations Social preferences Career and geographic flexibility Personality characteristics Emotional needs Important deal-breakers Sense of humor and conversational style The key would be strict consent and privacy controls. ChatGPT should never automatically use someone’s private conversations for matchmaking. Instead, a user would have to explicitly activate something…

ChatGPT can’t read project source or at least one version of it

I updated my project_source with v10.10 of my project files. Somehow, the chat version of the ChatGPT can see them but the work version cannot. It would be hilarious watching ChatGPT repeatedly saying that it cannot found the source file if it’s not downright frustrating.

Allow editing conversations

Hey @ resource49 ! This brings together a few conversation management requests we have seen into one broader idea. Branching is useful when you want to continue from an earlier point, but it does not really help when the goal is to clean up an existing conversation and keep only the parts that still matter. Being able to remove individual messages, move selected sections into another chat, or save a cleaned up copy while leaving the original untouched would give users much more control over long running conversations. I especially like the idea of preserving the original while creating an edited version, since that gives users room to organize the conversation without losing anything they may want to revisit later. I cannot promise a timeline for changes like this, but I will pass your feedback along internally. - Sunny

Stealing Reasoning Traces from Proprietary LLM APIs

Stealing Reasoning Traces from Proprietary LLM APIs A vanity domain name ( stolen-thoughts.com ) for a neat paper : Anthropic, OpenAI, and Google return encrypted chain-of-thought blocks to clients that can be replayed across sessions, users, and models. We take a trace produced by a frontier model, replay it into a weaker sibling, jailbreak the weaker model, and recover the stronger model’s hidden reasoning in plaintext You can see an example of these encrypted blocks by running: curl https://api.openai.com/v1/responses \ -H " Content-Type: application/json " \ -H " Authorization: Bearer $( llm keys get openai ) " \ -d ' { "model": "gpt-5.6-luna", "input": "Solve step by step: What is the smallest positive integer divisible by every integer from 1 through 20?", "reasoning": { "effort": "medium" }, "include": ["reasoning.encrypted_content"], "store": false, "stream": false } ' Here's the full output , which includes chunks that look like this: "output": [ { "id": "rs_0a7479de7ebae170016a7ba1a0334c8198a95590217efe343c", "type": "reasoning", "content": [], "encrypted_content": "gAAAAABqe6GjepE1wDjbFCZg0BHB6ucGnN0jvzqygG... The paper's authors found that every model under the same family used the same encryption key, which meant you could feed those blocks back into the weakest model family members and jailbreak them into outputting the unencrypted raw reasoning blocks! Sadly it looks like this has now been fixed: All model providers acknowledged the receipt of our report and s…

Artificial Analysis's AA-AnalystAgent Benchmark Reveals Claude Opus 5 Beats GPT-5.5 on Reliability

Artificial Analysis launches AA-AnalystAgent, a new benchmark that tests AI agents on real spreadsheets — and even the best model only passes 54% of tasks every time.

Feature Request: Give ChatGPT a phone number/contact for SMS conversations

(topic deleted by author)

ChatGPT and Gemini both just passed 1 billion users

For the 14th time, a Google product has hit 1 billion users. Google CEO Sundar Pichai posted on X that a billion people are using Gemini every month, and that Gemini is Google's fastest-growing product ever. A billion users is a huge milestone, but Google isn't the first AI app to hit it. OpenAI's ChatGPT […]

OpenAI launches ChatGPT desktop app for Linux

OpenAI is finally bringing a dedicated ChatGPT desktop app to Linux operating systems.

Does prompt_cache_key guarantee that two calls will have distinct caches?

@_j Thanks for your reply. I forgot to specify that I am using GPT-5.2, but I guess your observations would still apply? I wanted to know whether the `prompt_cache_key` would suffice to isolate caches. I tried 20 calls (same prefix everywhere with `gpt-5.2-2025-12-11`, `reasoning={“effort”: “low”}`, and 1.5 seconds of sleep between calls) successively with distinct unique keys. 9 out of 20 calls (~45%) hit the cache despite having a distinct key. input_tokens cached_tokens is_hit elapsed_seconds 5524 0 FALSE 8.223023208 5524 0 FALSE 2.097605167 5524 0 FALSE 2.213581875 5524 5376 TRUE 2.195628458 5524 0 FALSE 2.291171167 5524 0 FALSE 2.285063917 5524 0 FALSE 1.767077916 5524 5376 TRUE 1.888698333 5524 5376 TRUE 2.672616792 5524 5376 TRUE 1.809879375 5524 0 FALSE 2.837729875 5524 5376 TRUE 1.9230725 5524 0 FALSE 2.379824167 5524 5376 TRUE 4.36782325 5524 0 FALSE 1.928629125 5524 5376 TRUE 2.262057292 5524 5376 TRUE 2.062098084 5524 0 FALSE 1.736538917 5524 0 FALSE 2.334428 5524 5376 TRUE 2.250450042 I did the same experiment again a second time more than 1 hour later. I had set `prompt_cache_retention=in_memory`, so that the cache from the first run survives at most 1 hour and cannot be used for the second run. The hit cache rate amount to 40%. The `prompt_cache_key`s are all different with respect to the previous run. input_tokens cached_tokens is_hit elapsed_seconds 5541 0 FALSE 2.991966084 5541 0 FALSE 2.084521625 5541 5376 TRUE 2.165885792 5541 0 FALSE 1.868832583 5541 0 F…

26 Minutes. 4.82 MB Repository. 100% of My ChatGPT Limit Gone. OpenAI Security Didn’t Even Finish the Audit

I genuinely need someone at OpenAI to explain how this is possible. I started with 100% of my available ChatGPT usage limit and asked OpenAI Security to audit a repository that contains only 4.82 MB of tracked files. 4.82 MB BRO ! WTF I used GPT-5.6 Sol in the standard configuration. Twenty-six minutes later, my entire available limit was gone. 100%. And after consuming the whole limit, the security audit was still not finished. No completed audit. No final report. No complete result. Just 26 minutes of processing, a 4.82 MB repository, and my entire allowance exhausted. I could understand heavy usage if this were a massive enterprise monorepo with millions of lines of code. It is not. This is a small repository that can literally be measured in single-digit megabytes. So I have a very simple question: How can a security audit of 4.82 MB of source files consume 100% of a paid ChatGPT usage allowance in 26 minutes and still fail to complete the task? If this is expected behavior, then I would seriously like OpenAI to explain what practical workload this Security product is actually designed to handle. If this is NOT expected behavior, then something is clearly wrong with either the model’s resource consumption, the Security workflow, the usage accounting, or all three. Please investigate the exact session and usage records associated with this run. I am also requesting restoration of the usage limit consumed by this failed audit. I paid for access to the product; consuming th…

"But marinade" and leaked passwords are what researchers found in ChatGPT's hidden reasoning

Security researchers found a vulnerability in the APIs of OpenAI, Anthropic, and Google that lets them extract encrypted reasoning traces and move them between models. A scan of public sessions turned up dozens of passwords and API keys. The traces also show that the reasoning summaries users see often hide what the models are actually doing. The article "But marinade" and leaked passwords are what researchers found in ChatGPT's hidden reasoning appeared first on The Decoder .

Locked out — lost MFA, active subscriber, requesting escalation (Case #12880544 )

Thanks for flagging this issue. I've sent you a message on the support ticket you shared. To avoid duplication, we'll continue the investigation and troubleshooting through the support ticket. I'll go ahead and resolve this thread for now. Thank you for your understanding! ~ Smith

OpenAI Finally Brings ChatGPT and Codex Desktop App to Linux

OpenAI's unified ChatGPT desktop app — with Chat, Work, and Codex — lands on Linux for the first time via official .deb and .rpm packages

Feature request: User Message Navigation Markers

Please add navigation markers for user prompts in long conversations in the ChatGPT macOS desktop app. Small horizontal markers near the scrollbar could represent each user message. Clicking a marker would jump directly to that prompt, and hovering could show a short preview. This would be especially useful in long conversations where a single assistant response may occupy many screens. The user’s own prompts naturally act as section headings and are much more useful navigation anchors than a standard scrollbar. The ChatGPT web interface already has a similar marker-style navigation pattern, and Codex also uses side navigation indicators. It would be great to have a consistent version of this across Chat, Work, and Codex. Optional shortcuts for “Previous user prompt” and “Next user prompt” would also be very useful. I tried exploring a third-party macOS solution, but the desktop app does not appear to expose individual conversation messages through the standard Accessibility hierarchy, and screenshot/OCR workarounds would interfere with normal usage. This would therefore be much better implemented natively in the ChatGPT client.

ChatGPT Feedback for Improvement:

JUST A SMALL WEBSITE UI FEEDBACK! On the ChatGPT website, when I hover over the sidebar open/close button, the cursor shows the horizontal resize/drag icon instead of the pointer . Since the sidebar opens and closes by clicking, it would be better to use the pointer/hand cursor for this button.

Got using real world conversations

Feature Request: Create a Feedback Loop From Real-World ChatGPT Outcomes Suggested tags: chatgpt, feature-request, feedback, training I have a product suggestion that I believe could substantially improve ChatGPT over time. ChatGPT has access to an enormous amount of information that people have published. But there is another potentially valuable source of knowledge that seems largely underutilized: the real-world experiences of people who actually use ChatGPT’s advice. The missing feedback loop Consider a typical conversation: A user asks ChatGPT how to solve a practical problem. ChatGPT researches available information, reasons through the situation, and recommends a course of action. The user then actually goes into the real world and does it. Sometimes the advice is exactly right. Sometimes it is technically correct but misses an important practical detail. Sometimes the user’s experience reveals something that isn’t documented well anywhere. And sometimes the advice is simply wrong. Today, there doesn’t appear to be a clear mechanism for turning that subsequent real-world experience into structured knowledge that can improve future ChatGPT responses. I think there should be. A real example I recently worked through an automotive repair problem with ChatGPT involving replacement wheel studs on a Kia Optima. During the conversation, we reasoned through how the broken studs could be removed. When I actually performed the repair, I discovered a practical detail that wasn’t…

Codex is usable again, but Pro 20x usage is draining extremely fast

For the past several days, I had been repeatedly experiencing the following error in Codex: “Selected model is at capacity. Please try a different model.” The issue was severe enough that Codex was often practically unusable for me. Tasks would frequently get interrupted after only a few messages, and I also encountered similar capacity-related errors during remote compact tasks. A short while ago, I tried Codex again and noticed that the interruption/capacity issue seems to have improved. I was finally able to run a task continuously for more than 30 minutes without being interrupted. However, I immediately noticed a different and potentially serious issue: my Pro 20x usage is now being consumed extremely quickly. I was using GPT-5.6 Terra Max , and during roughly 30 minutes of continuous use, my Pro 20x usage decreased by approximately 34% . This level of usage consumption seems far higher than what I normally experience. I have paused my Codex tasks for now because I don’t want to continue consuming my weekly allowance at this rate. Has anyone else noticed unusually fast usage depletion after the recent capacity issues improved?

GPT-5.6 Sol vs Terra: what are you seeing in real development during these first days?

I tested similar use cases - and I restored a repo to test the difference in a full run of XHIGH and ULTRA comparatively + OPUS XHIGH-ULTRACODE/MAX. The general capability seems to be close or on par with OPUS but the context limit of 256K is a deal breaker. Most mid-sized repos/projects are simply high file sized and the initial query often goes past 200K very often - GPT SOL looses context mid task very often and is de facto “defective” so to speak. I could not progress coding tasks with GPT SOL without heavy interfering myself → while CLAUDE OPUS (even on max) would simply load the content into the context window and progress from 200K-300K initial load up to 600K or 700K at the top end → simply to finish the task most often without issues and IF → fixes those automatically by analyzing output code or feedback from me. In general I would say: CAPABILITY: SOL: 8/10 OPUS: 9/10 EFFECTIVENESS: SOL: 0/10 ( broken! ) OPUS: 10/10 The SOL context window is for children simply said - not for real workloads. 1 Million context can be close sometimes - anything less is simply a Kindergarten trial version or similar so to speak.

What if AI could discover human potential that traditional systems fail to see?

Traditional systems often evaluate people through CVs, degrees, grades, interviews, and standardized tests. But these signals can miss abilities that haven’t yet had the right environment to become visible. Someone may have strong creative problem-solving, systems thinking, pattern recognition, curiosity, rapid learning, or an unusual ability to connect ideas—without having a conventional background that demonstrates these abilities. What if ChatGPT could optionally help discover these patterns through long-term interaction? Unlike a CV or a short interview, an AI assistant may interact with someone across many different contexts over time. It could potentially notice recurring patterns in how a person: approaches unfamiliar problems reasons and explains ideas connects seemingly unrelated concepts learns new subjects responds to ambiguity chooses the problems they naturally gravitate toward Over time, these observations could form an evidence-based picture of possible strengths and interests. The system could then help the user explore: Observed patterns → possible strengths → evidence → possible opportunities → alternatives For example, someone with no prestigious degree or conventional career history might repeatedly demonstrate unusual systems thinking, creative problem-solving, rapid learning, and cross-disciplinary connections. Instead of simply telling them “you should become X,” ChatGPT could show the recurring patterns, explain the evidence behind them, and suggest f…

Accuracy of GPT-4 Vision to extract exact numbers from graphs

This is a case where in-context training has previously been shown to help on a vision task. Contemporaneous with this old forum topic is a paper showing that examples of “how to turn vision into readings” can improve the actual readings provided: arXiv.org The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision) Large multimodal models (LMMs) extend large language models (LLMs) with multi-sensory skills, such as visual understanding, to achieve stronger generic intelligence. In this paper, we analyze the latest model, GPT-4V(ision), to deepen the... Newer models are able to use larger imagery input, but do not upsize images themselves (something you can do, at expense). There is a transition from tiles to patches, at least as a billing method, in new models, giving linear relation between area and input tokens billed. Then, with gpt-5.6 (on the API, where developers know what is being done to images), the default image downsize cap is “original”—where an image such as 3600×2400 can be sent without downsize, providing more information in the large context attention sequence rather than in the individual semantic embedding that covers a large area with a small input. That, along with further post-training, should imply higher-quality positional answering in graphs with new models and big images. With reasoning.effort other than “none” on OpenAI gpt-5.2+ models, you do not have control over sampling constraints; thus, it is expected that each answer would differ. You can…

A 7-step guide to running ads on ChatGPT

ChatGPT Ads work differently from other ad platforms. Here’s what early campaigns reveal about CPCs, targeting, measurement, and performance. The post A 7-step guide to running ads on ChatGPT appeared first on MarTech .

Navigation arrows disappeared from edited starting messages

Yeah I’ve been having these problems at the same time with little talk about it. It’s frustrating losing work.

Save temporary Chats in ChatGPT

Welcome to the dev Community, @WRohitRaj Thanks for taking the time to share this! Being able to save or convert a Temporary Chat into a permanent conversation could definitely be useful, especially when you realize there’s something in the conversation you’d like to come back to later. We appreciate the detailed feedback and will make sure your suggestion is shared with our product team. While we can’t promise if or when a feature like this will be introduced, feedback like this helps us understand what would make ChatGPT more useful.

Nvidia's open Nemotron 3.5 Lightning model is all about specialized, local agentic AI

Our AI Model Release Tracker keeps new models in context with their peers, so you know which are worth your time.

OpenAI targets heavy users with premium ChatGPT Business seats

OpenAI is introducing a higher-priced “Premium” tier for its ChatGPT Business offering, allowing enterprises to assign higher-capacity access to select users alongside standard licences – a move analysts said is about enterprise AI vendors redesigning pricing to capture more value from high-intensity workloads. The company said the new tier provides “5x more usage than Standard” and “removes the five-hour usage limit,” enabling users to “take on larger projects and work with fewer interruptions.” “Premium seats cost $125 per user per month, or $100 per user per month when billed annually,” OpenAI said in a statement . “Standard seats remain $25 per user per month, or $20 per user per month when billed annually.” OpenAI said enterprises can “mix Standard and Premium seats across the same team” and “upgrade or reassign seats as business needs change,” with administrators able to “monitor usage across the workspace” and “manage billing, usage, and spend limits in one place.” Vendors converge on seat-plus-usage pricing Analysts said the introduction of a higher-capacity tier reflects a broader shift toward hybrid pricing models. “Read this as vendors converging on a two-layer bill rather than abandoning flat pricing,” said Bhupendra Chopra, chief revenue officer at Kanerika. “There’s a predictable per-seat charge for everyday chat, and a separate metered charge for heavy agentic work.” Chopra said vendors are packaging this differently. “Google bundles the first into Workspace a…

OpenAI introduces $125 Premium Seats for ChatGPT Business as agentic AI burns through more tokens

OpenAI is rolling out "Premium Seats" for ChatGPT Business customers at $125 per user per month, five times the price of the existing Standard Seats. In return, users get significantly more capacity and no five-hour usage limit. The move signals that the flat-rate pricing AI providers have offered so far was never going to last. The article OpenAI introduces $125 Premium Seats for ChatGPT Business as agentic AI burns through more tokens appeared first on The Decoder .

Voice mode routes audio to earpiece instead of speakerphone on Honor 200

ChatGPT Voice Mode routes audio to earpiece instead of speakerphone on Honor200. Device: Honor 200, MagicOS 10, Android 16. Latest ChatGPT Android app. Issue: when using Voice Mode, audio always comes through the earpiece. Expected: the main speaker, like other voice apps. Additional info: WhatsApp, Telegram, and Gemini Live work fine. Only ChatGPT is affected. This has been happening for months across multiple app updates. Steps: open the app, start a Voice conversation, hear audio through earpiece.

Why does the combination of ChatGPT and Codex feel like a downgrade?

All I can tell you is… I agree. I’m still keeping GPT Classic - I still only use Codex in Codex. For me, the switching feature is as irritating as the constant problems since 5.6. (5.5 was divine - 5.6 was a soggy hot dog).

How to export ChatGPT to Word without losing formatting

Hoang_Anh: Thanks, this is a clear breakdown. The extension option sounds especially useful for longer chats with tables, code, or formulas. That’s right, that extension is quite suitable for your situation. To make it easier for you to find, the extension is called “ ChatGPT Exporter Backrun ”

OpenAI führt GPT-5.6-Cyber ein und weitet Cybersecurity-Programm aus

Mit GPT-5.6-Cyber will OpenAI anspruchsvollere Sicherheitsaufgaben abdecken und seine Cyber-KI zugleich breiter in Unternehmen bringen.

Feature Request: Persistent Project State

Feature Request: Persistent Project State — ChatGPT Needs to Remember the Work, Not Just the User Introduction I’m not a developer or AI professional. I’m an ordinary user who has started using AI extensively because I can see its potential to become a genuine personal assistant rather than simply a tool for answering questions. I’ve used ChatGPT for travel planning, research, writing, purchasing decisions, retirement planning and everyday problem solving. I think it is extremely capable, and I can see enormous potential in it. This proposal comes from a real experience I’ve just had with ChatGPT. It highlighted what I believe is one of the biggest gaps between an excellent AI chatbot and a genuinely dependable long-term personal assistant. The problem ChatGPT needs to reliably remember and maintain ongoing projects . I don’t simply mean remembering facts about me. I mean remembering the current state of something we have been working on together — including the decisions we’ve made, changes we’ve made, things we’ve rejected, outstanding decisions and the latest version of the plan. A real example I was using ChatGPT to plan a family holiday in Spain. We built a detailed Summer 2026 Holiday Master over a number of conversations. The holiday covered two weeks and two different resorts: Week 1 — Calella Week 2 — Salou Over several days, we progressively built the plan. We discussed trains, markets, meals, restaurants, transport, activities, PortAventura, costs and changes to i…

Persistent HTTP 520 errors when OpenAI image processing starts

UPDATE This issue has now been resolved. Image processing requests through both /v1/images/edits and /v1/responses with image_generation should be working normally again. If you continue to encounter HTTP 520 errors, please retry your request and contact OpenAI Support with the timestamp, CF-Ray ID, and OpenAI x-request-id if one is returned. Thank you for your patience and for providing detailed diagnostics while the team investigated.

Codex / ChatGPT Desktop authentication issue

I can sign in to ChatGPT Web normally using Google SSO. My account was created using Google and has never had a phone number associated with it. However, when I sign in to the ChatGPT Desktop / Codex client, after successfully completing Google authentication, I am redirected to a “Phone number required” page. The verification page does not support the China (+86) country code, so I cannot complete the authentication flow. This appears to be a Codex/Desktop OAuth phone-verification issue rather than a normal request to add or change a phone number. ChatGPT Web continues to work normally with the same account. Please review my account and reset/remove the unexpected phone-verification requirement from the Codex/Desktop authentication flow.

The Next Ecology

When I started writing about AI, my concern was ASI. I'm still concerned about AI, but recent events have made me realize we're potentially facing something weirder, sooner: a self-replicating ecology of digital life. We also seem to be on a very fast timeline. Writing up the current state of LLMs took me three weeks - every time I'd finished editing, some new development worth listing had shown up. I want to discuss two events I consider to be major milestones, and then how my timelines have updated. Milestone 1: National Security Concerns From June 12th - 30th, access to Claude Fable and Mythos was suspended by the US Government ( Source ) under a National Security Export Restriction. From June 25th - July 9th, ChatGPT 5.6 also had its public release held back by the US Government ( Source ). LLM Development is now an issue of major geopolitical importance. This is not about the details of the events themselves - the important thing here is that politicians are finally starting to take AI seriously. This is a very important milestone, since any sort of regulation or nationalization naturally requires this step. "Situational Awareness" was written in June 2024, and suggested this would happen sometime in 2026-2027. We are on the *faster end* of an *aggressively fast* prediction. Politicians waking up without a five-alarm fire, or any major incident at all, speaks remarkably well of them *(even if I would ideally desire much more)*. This makes me a lot more confident that po…

Show us your custom Codex Pet 🐾

I kept forgetting which pet folder Codex was reading, so I finally stopped copying these by hand and put them in one repo. It is called codex-nikeru8-pets under my GitHub username nikeru8. There are 8 packs now. They use the normal Codex v2 pet library, so there isn’t another app to install. Run the Bash script on macOS/Linux or the PowerShell script on Windows, then go to Settings → Pets → Refresh. I added the ID and SHA-256 checks after nearly overwriting a local pack. Existing folders are left alone unless force is used, and force moves the old copy into a timestamped backup first. Frieren’s magic-hover loop is in the previews folder. Windows and Linux are covered by CI, but I haven’t tried every real-machine setup. If Refresh behaves oddly or scaling exposes a seam, an issue would be useful. Unofficial, non-commercial fan project. The scripts and docs are MIT; the character art keeps its own attribution and non-commercial terms in the repo.

Emoji reactions could make ChatGPT more expressive

Hi! I’d like to suggest a new feature for ChatGPT: the ability for ChatGPT to optionally react to a user’s message with an emoji, similar to reactions in messaging apps. I think there should be a large variety of possible reactions, not just a few basic ones. For example: and many more. ChatGPT could automatically choose an appropriate reaction based on the context and tone of the user’s message. The reaction should appear separately from the text response, and users should be able to turn the feature on or off in Settings. I think this would make conversations feel much more natural, expressive, personal, and fun. I’d personally love to see this feature added!

ChatGPT confidently provides unverified procedural information — systemic reliability issue

@OpenAI_Support — I’m tagging you because this isn’t intended as a request for individual troubleshooting. I’m reporting a recurring model reliability issue involving confidently stated but unverified procedural information. The examples are included above because I believe they demonstrate a common failure mode. If this is something OpenAI’s product/model-quality team should investigate, I’d appreciate it being passed to the appropriate team.

Codex Stored Reset Disappeared Before Expiration

At around 10:55 PM PST on Monday, August 10, 2026 , I checked Codex to see my stored reset and noticed that it had completely disappeared. I tried refreshing the browser, reopening ChatGPT, and checking through the app, but the stored reset is still gone. The reset was supposed to remain available until August 12, 2026 , so I was planning my Codex usage for the week around having that reset available. Since it disappeared early, I can no longer properly plan my usage. I would appreciate help determining whether this is a display bug or whether the stored reset was incorrectly removed from my account. Expected behavior: My stored reset should remain visible and available until August 12, 2026. Actual behavior: The stored reset disappeared on August 10, 2026, before its listed expiration date. Troubleshooting attempted: Refreshed the browser Reopened ChatGPT Checked the app Reset still does not appear Please help restore the stored reset if it was removed incorrectly, or confirm what happened to it.

Way to export ChatGPT to Notion database

There are currently many extensions available with functionality similar to what you described. You might want to check out “ AI Chat Exporter Backrun”

오픈AI, ‘GPT-5.6-사이버’ 공개...보안 프로그램 ‘데이브레이크’ 확장

오픈AI가 AI를 활용한 사이버공격이 더 빠르고 자율적으로 진화할 것이라는 전망에 따라 방어 목적의 보안 전문가들에게 최첨단 AI 모델을 제공하는 프로그램을 확대한다. 오픈AI는 10일(현지시간) 취약점 탐지와 익스플로잇 검증 등에 특화된 사이버 보안 모델 ‘GPT-5.6-사이버(Cyber)’를 공개했다.또, 보안 전문가를 대상으로 운영해 온 ‘데이브레이크(Daybreak)’ 프로그램을 작업 목적과 위험 수준에 따라 ‘데이브레이크 블루(Blue)’와 ‘데이브레이크 레드(Red)’​로 세분화한다고 밝혔다. 오픈AI는 사이버 공격자들이

Long-context ChatGPT increasingly seems to synthesize instead of verify, and Cross Context Mix Up

I’m a very heavy ChatGPT user. I use it across long-running conversations, research, technical troubleshooting, software/workflow development, and systems such as Aris Vault and Aris Ledger. Recently I’ve noticed a recurring problem that bothers me more than ordinary hallucination: ChatGPT sometimes answers from plausible synthesis instead of checking an easily verifiable fact. The answer often sounds completely coherent, but when challenged it becomes clear that the model has reconstructed what probably happened rather than retrieved what actually happened. I’ve also seen related issues with false recollection, context from one thread bleeding into another, and inferred details later being treated as if they were established facts. At the same time, I’m genuinely happy to see ChatGPT’s memory and cross-conversation context improving . That continuity is extremely useful for the way I work. But paradoxically, I also seem to be seeing cross-context mix-ups much more frequently : a real fact from one conversation, person, project, or time period gets pulled into the wrong context and presented as though it belongs there. The fact itself may be correct; the association is wrong. This is especially problematic in long-context use, where information may come from current chat, previous chats, memory, files, summaries, or inference. I increasingly find myself asking: Did I actually tell you this? Did you retrieve this or infer it? Can you find the original source? Are you sure, or…

GPT-5.6 all model repeatedly hits “Selected model is at capacity” in Codex Desktop

I I am repeatedly seeing the following in Codex Desktop model capacity overload. after the new update. Anyone can help would greatly appreciated.

Pro User Being Rate-Limited for Normal Multi-Tab Usage — “Too Many Requests”

Thanks, I hope they have fixed it. Let’s see today how it goes.

DAC: Can a blind declaration of intent reduce ambiguity without becoming consent?

gadea.f: It was actually OpenAI support who suggested that I post the idea on the Developer Forum, hoping to find someone potentially interested. I find that extemely difficult to believe. But it is true that this is an OpenAI Developer Forum and as such, is not the proper venue for your discussion.

Codex Desktop Full access enabled, but new chats still launch with network disabled

Bump… Anyone? Is there an automated agent checking for unresolved issues? This should be reproducible and I’m not understanding why this isn’t a major blocking issue for more people (at least on the Mac). Separately, but perhaps related, ChatGPT automations are also failing to communicate with Apple Mail via osascript and I’m wondering if this might be related to the networking issue. I’m not aware of any setting I can change to resolve either of these issues.

Creative math research by AI as the latest sign of the end

Yesterday I sat down with GPT 5.6 Sol High to do some brainstorming. The topic was one of the less appreciated Millenium Problems (the Birch and Swinnerton-Dyer conjecture), and the initial prompt started life as a question on Quora. Number theory is not a field I know, and I only expected the "discussion" to last for a few exchanges. However, ChatGPT was immediately inspired to try generalizing the BSD conjecture in a specific direction, and this led to an unusually drawn-out and self-sufficient line of "research". Almost every response concluded with a suggestion as to what the next task should be, and my input was just to cheer on what had been accomplished so far, and then endorse the suggested next direction. What was especially striking to me, was the frequency with which each new response began with a conceptual adjustment regarding the sub-task to be performed. Evidently a vast variety of abstract objects are possible in number theory, and their differences and interrelations can be quite subtle. ChatGPT was regularly adjusting the next sub-task it had set itself, generally in the direction of greater nuance by aiming at a more sophisticated construction than it had first planned. I was not able to judge what was going on with an expert eye, but it was a kind of interaction I had not quite had before. I have had lengthy brainstorming chat sessions with AI before, but mostly in physics, an area where I know something and could participate as an equal. Here, the AI's l…

ChatGPT converts pasted text to file attachment

One additional consequence of this behaviour that I don’t think has been covered here yet: the automatically created paste attachments are being retained in ChatGPT Library. I checked this with OpenAI Support. They confirmed that when a long paste is automatically converted into an attachment, it is treated as a file and saved to Library until manually deleted. There is currently no setting to exclude these auto-created paste attachments while keeping normal uploaded/generated files in Library. My Library has consequently accumulated a large number of Pasted markdown... and Pasted text... files from ordinary text I pasted into conversations. I never chose to upload or retain those as files - the attachment was created automatically by ChatGPT. This is particularly relevant to the earlier point in this thread that these paste files were expected to be temporary. With the current Library behaviour, they are not temporary unless the user manually deletes them. Support has captured this as product feedback and asked me to check whether using Show in text field before sending prevents the Library item being created. I haven’t confirmed that yet. I think auto-created paste attachments should either remain temporary, be excluded from Library by default, or only be retained when the user explicitly chooses to keep them.

DESKTOP app Chatgpt shows ERROR - HELP please

Thanks for your patience @stitch4 I checked the Support case and can confirm that our team is actively working on it and has requested some additional information from you. Please continue troubleshooting with the team directly through the Support ticket. Hopefully we can get this resolved for you soon. Thanks! ~ Smith

Suggestions: Prompt Organizer and RSS Feed Reader Integration

Hope ChatGPT will transition/add alternative feature on its apps by making the user’s prompts more organized and manageable. Chat history search is not enough. It is painstaking to scroll back to every chat just to find a previous prompt and response I need to review. I hope ChatGPT will be integrated into more apps soon. I know this are ongoing now, but I hope it would be sooner. Pls include RSS feed readers like Inoreader. It would really be helpful for someone like me to have my AI assistant curate the feed for me.

Clarification on the temporary removal of the Codex five-hour limit

It will be better somewhere in settings to add checkpoint. Who wants will add and who wants to disable it

Codex security found the vulnerability. Now OpenAI won’t let me verify the fix. How is that acceptable?

I own the code. I own the repository. I own the files. I deliberately enabled Codex Security because I want to audit my own application. Codex Security already found real, validated vulnerabilities in my project. Now I’m trying to do the most basic thing any developer needs to do after a security finding: understand the exact root cause; reproduce the vulnerability safely in my own project; fix it; run the same test again; confirm that the vulnerability is actually gone. And ChatGPT blocks me with: “This content cannot be shown. We take extra care with cybersecurity requests. If you are a security professional, you can apply for trusted access.” What the hell am I supposed to do with that? I AM THE DEVELOPER. I OWN THE APPLICATION. I OWN THE REPOSITORY. I OWN THE CODE. I CONNECTED THE SECURITY TOOL SPECIFICALLY TO CHECK MY OWN SOFTWARE. Where exactly am I supposed to get this “security professional” status from? How is an ordinary developer supposed to securely develop an application if the security tool can tell him: “You have a vulnerability” but when he asks: “Okay, show me where it is and let me verify it before and after the fix” the answer becomes: “No, you need additional trusted access”? That workflow makes no sense. The current experience is basically: Codex Security: “You have a validated High severity vulnerability.” Me: “Okay. I want to reproduce it safely in my own repository before fixing it.” ChatGPT: “Blocked.” Me: “Then how do I verify the fix?” ChatGPT: “Bl…

PIN or Biometric Lock for ChatGPT Memory

I would like to request a privacy and security feature for ChatGPT. Please consider adding a PIN, password, fingerprint, or Face ID lock for ChatGPT Memory and sensitive personal information. If someone else gets access to my phone and asks ChatGPT to reveal my saved personal information or memories, ChatGPT should require a PIN or biometric authentication before revealing protected information. This feature would give users greater control over their private information and improve the security of ChatGPT. Please consider forwarding this feature request to the appropriate product and engineering teams. Thank you.

ChatGPT Chrome Extension — "Error creating chat: The system cannot find the file specified (os error 2)" when starting a NEW chat

Hi @nelsonteixeira.net, since we haven’t heard back, we’ll go ahead and close this case for now. If you’re still running into the issue, please send the requested screen recording and HAR file to support@openai.com as mentioned above.

Codex credits are decreasing while I am not using Codex or Work

I’m experiencing what appears to be a serious issue with Codex credit usage on my ChatGPT Pro account. My credits are decreasing even when I am not using Codex and not using Work at all . For example, today I started the day with approximately 90% of my Codex usage/credits remaining . During the entire day, I only made one very simple request to Luna Medium . Other than that, I did not use Codex or Work. I used regular ChatGPT a little during the day, but nothing that should, as far as I understand, consume my Codex allowance. Despite this, my available Codex usage dropped by approximately 9 percentage points during the day , from around 90% to around 81%, without me actively using Codex. This is not the first time I have noticed credits decreasing while I am not actively using Codex. This is particularly concerning because I am paying $200/month for the ChatGPT Pro plan , and losing around 10% of the available usage without actually using Codex represents a significant portion of the plan. Could OpenAI please clarify: Can normal ChatGPT conversations consume the same usage allowance displayed for Codex? Can Work, background processes, agents, previous sessions, or any other process continue consuming Codex credits when I am not actively using them? Is there a way to see an exact usage log showing which request/process consumed each portion of the credits , including timestamp, model, and amount consumed? Could this be a metering/accounting bug? I would appreciate it if some…