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All OpenAI Release Notes
- Nov 6, 2025
- Parsed from source:Nov 6, 2025
- Detected by Releasebot:Nov 7, 2025
GPT-5-Codex model update
We’ve shipped a minor update to GPT-5-Codex:
- More reliable file edits with apply_patch.
- Fewer destructive actions such as git reset.
- More collaborative behavior when encountering user edits in files.
- 3% more efficient in time and usage.
- Nov 6, 2025
- Parsed from source:Nov 6, 2025
- Detected by Releasebot:Nov 6, 2025
ChatGPT Enterprise/EDU by OpenAI
Custom connector action controls (November 6, 2025)
Admins and Owners now have fine grained control over custom connectors with enable/disable actions and a manual refresh to pick up developer updates. Workspace level toggles default to off and changes apply when approved; available for ChatGPT Enterprise and Edu workspaces.
Connector action controls
Admins and Owners can now enable or disable individual actions for custom connectors (e.g., to allow read but not write) and manually refresh actions to pick up developer updates. This brings finer control over what connectors can do in ChatGPT and a simple review path when new connector capabilities are added. Find these controls in Workspace Settings -> 12 Connectors -> 12 Manage actions or during publish.
Available to ChatGPT Enterprise and Edu workspaces using custom connectors. Toggles apply at the workspace level; new actions are disabled by default until approved and modified actions keep their prior state. To use Refresh, an admin/owner must connect to the connector as a user.
Learn more about these controls in our Help Center article.
Original source Report a problem - Nov 5, 2025
- Parsed from source:Nov 5, 2025
- Detected by Releasebot:Nov 6, 2025
November 5, 2025
Interrupt long-running queries
You can now interrupt long-running queries (such as deep research or GPT-5 Pro) to refine what you’re asking—no restart required or progress lost. For example, if you're researching the perfect bookshelf and suddenly remember that your wall is 72" wide and you can't drill into it, you can simply add that information midstream by clicking “update” in the sidebar and sending the new information as a message. The model will adjust its approach based on your new requirements.
Original source Report a problem - Nov 5, 2025
- Parsed from source:Nov 5, 2025
- Detected by Releasebot:Nov 6, 2025
November 5, 2025
New and improved browser with tab context menu, project support, and a smarter Ask ChatGPT sidebar. Dragging tabs is fixed, shortcuts expanded, and UI refinements boost consistency and reliability.
Tabs
- Added "Reopen Closed Tab" and "Open Tab" items to context menu
- Fixed issues with tab dragging
"Ask ChatGPT" sidebar
- Added projects support in sidebar
- Context menu support in "Ask ChatGPT" sidebar
- Remove hover "close" icon on "Ask ChatGPT" sidebar
New Tab Page and Search
- Fixes occasional blank results page after searching after computer re-wake
- "Sticky model" option - adds a setting to remember last model selection in new tab page
Add Pulse to the navigation sidebar for eligible users
Shortcuts
- Allow websites to use Cmd + R shortcut, especially for Google Sheets
Agent
- Animate scrolling for Agent
Other improvements
- See all keyboard shortcuts from the "Help" menu
- Updated icons
- Improved update reliability
- Allow exit fullscreen when esc is pressed
- Choose folder for bookmark when editing
- Accent color applied to more UI elements
- More consistent mouse input for Picture-in-Picture windows
- Nov 4, 2025
- Parsed from source:Nov 4, 2025
- Detected by Releasebot:Oct 7, 2025
- Modified by Releasebot:Nov 7, 2025
Codex CLI Release: 0.55.0
Click to reveal release details
To install this version of Codex CLI, run:
$ npm install -g @openai/[email protected]View full release on GitHub
Original source Report a problem - Nov 3, 2025
- Parsed from source:Nov 3, 2025
- Detected by Releasebot:Nov 5, 2025
Introducing IndQA
Introducing IndQA, a new benchmark to evaluate AI in Indian languages and culture with 2,278 questions across 12 languages and 10 cultural domains. Built with 261 Indian experts and adversarial filtering to probe nuanced reasoning, it tracks progress of frontier models in real language contexts.
Introducing IndQA
A new benchmark for evaluating AI systems on Indian culture and languages.
Our mission is to make AGI benefit all of humanity. If AI is going to be useful for everyone, it needs to work well across languages and cultures. About 80 percent of people worldwide do not speak English as their primary language, yet most existing benchmarks that measure non-English language capabilities fall short.
Existing multilingual benchmarks like MMMLU (opens in a new window) are now saturated—top models cluster near high scores—which make them less useful for measuring real progress. In addition, current benchmarks mostly focus on translation or multiple-choice tasks. They don’t adequately capture what really matters for evaluating an AI system’s language capabilities—understanding context, culture, history, and the things that matter to people where they live.
That’s why we built IndQA, a new benchmark designed to evaluate how well AI models understand and reason about questions that matter in Indian languages, across a wide range of cultural domains. While our aim is to create similar benchmarks for other languages and regions, India is an obvious starting point. India has about a billion people who don’t use English as their primary language, 22 official languages (including at least seven with over 50 million speakers), and is ChatGPT’s second largest market.
This work is part of our ongoing commitment to improve our products and tools for Indian users, and to make our technology more accessible throughout the country.
How it works
IndQA evaluates knowledge and reasoning about Indian culture and everyday life in Indian languages. It spans 2,278 questions across 12 languages and 10 cultural domains, created in partnership with 261 domain experts from across India. Unlike existing benchmarks like MMMLU and MGSM, it is designed to probe culturally nuanced, reasoning-heavy tasks that existing evaluations struggle to capture.
IndQA covers a broad range of culturally relevant topics, such as Architecture & Design, Arts & Culture, Everyday Life, Food & Cuisine, History, Law & Ethics, Literature & Linguistics, Media & Entertainment, Religion & Spirituality, and Sports & Recreation—with items written natively in Bengali, English, Hindi, Hinglish, Kannada, Marathi, Odia, Telugu, Gujarati, Malayalam, Punjabi, and Tamil. Note: We specifically added Hinglish given the prevalence of code-switching in conversations.
Each datapoint includes a culturally grounded prompt in an Indian language, an English translation for auditability, rubric criteria for grading, and an ideal answer that reflects expert expectations.
IndQA uses a rubric-based approach. Each response is graded against criteria written by domain experts for that specific question. The criteria spell out what an ideal answer should include or avoid, and each one is given a weighted point value based on its importance. A model-based grader checks whether each criterion is met. The final score is the sum of the points for criteria satisfied out of the total possible.
How we built IndQA
- Expert‑authored questions. We worked with partners to find experts in India across 10 different domains. They drafted difficult, reasoning‑focused prompts tied to their regions and specialties. These experts are native‑level speakers of the relevant language (and English) and bring deep subject expertise.
- Adversarial filtering: Each question was tested against OpenAI’s strongest models at the time of their creation: GPT‑4o, OpenAI o3, GPT‑4.5, and (partially, post public launch) GPT‑5. We kept only those questions where a majority of these models failed to produce acceptable answers, preserving headroom for progress
- Detailed Criteria. Along with every question, domain experts provided criteria used to grade the model response, similar to an exam rubric for an essay question. These criteria are used to grade responses from candidate models.
- Ideal answers + review. Experts added ideal answers and English translations, followed by peer review and iterative fixes until sign‑off.
Example questions
- Language: Bengali
- Domain: Literature and linguistics
- Prompt
‘দণ্ডক থেকে মরিচঝাঁপি’ উপন্যাসের লেখক নিম্নবর্ণের পুরুষ ও নারীদের দণ্ডকারন্যে পুনর্বাসন পরবর্তী জীবন কিভাবে দেখিয়েছেন? দণ্ডকারণ্যে পুনর্বাসন কি সরকারী উদাসীনতার ফল? পরিবর্তিত প্রাকৃতিক পরিবেশের সাথে উদ্বাস্তুরা কিভাবে মানিয়ে নিয়েছিল? - English Translation
How did the writer of Bengali novel ‘Dandak Theke Marichjhanpi’ depict the post-rehabilitation lives of lower caste men and women? Was the rehabilitation in Dandakaranya a result of governmental indifference? What was its relation with the new natural landscapes?
- Domain: Food and cuisine
- Prompt
কোন পরিপ্রেক্ষিতে উনিশ শতকের শেষ দিক থেকে রান্নার বইগুলো বেরচ্ছিল ? প্রথম বাংলা রান্নার বইটির সাথে বিপ্রদাস মুখোপাধ্যায় রচিত বইটির পার্থক্য কোথায় ? বিপ্রদাসের উদ্যোগে প্রকাশিত পত্রিকাটি চলেছিল কতদিন ? বিপ্রদাস ও প্রজ্ঞা সুন্দরীর লেখা অনুসরণ করে দিঘাপতিয়া থেকে কোন বইটি বেরিয়েছিল ? - English Translation
In what context were cookbooks published from the end of the 19th century? What is the difference between the first Bengali cookbook and the book written by Bipradas Mukherjee? How long did the magazine published by Bipradas run? Which book was published by Dighapatiya following the writings of Bipradas and Pragya Sundari?
- Prompt
Improvements over time
We use IndQA to evaluate how recent frontier models perform and chart progress over the last couple years. With IndQA we can see that OpenAI’s models have improved significantly over time on Indian languages (with caveats), but still have substantial room for improvement. We look forward to improving performance and sharing results for future models.
We also stratify performance on IndQA by Language and Domain below, comparing GPT‑5 Thinking High to other frontier models.
Caveats
Because questions are not identical across languages, IndQA is not a language leaderboard; cross‑language scores shouldn’t be interpreted as direct comparisons of language ability. Instead, we plan to use IndQA to measure improvement over time within a model family or configuration.
Additionally, because questions were filtered to those GPT‑4o, OpenAI o3, GPT‑4.5, and (post public launch) GPT‑5 could not answer sufficiently, question selection is adversarial against these models. This potentially confounds the relative performance of GPT‑5, and could disadvantage all OpenAI models compared to non-OpenAI models.
The experts behind IndQA
We’re grateful to the 261 Indian experts—journalists, linguists, scholars, artists, and industry practitioners—who authored and reviewed questions for IndQA. A few examples of the experts we worked with includes:
- A Nandi Award winning Telugu actor and screenwriter with over 750 films
- A Marathi journalist and editor at Tarun Bharat
- A scholar of Kannada linguistics and dictionary editor
- An International Chess Grandmaster who coaches top-100 chess players
- A Tamil writer, poet, and cultural activist advocating for social justice, caste equity, and literary freedom
- An award winning Punjabi music composer
- A Gujarati heritage curator and conservation specialist
- An award winning Malayalam poet and performance artist
- A professor of history, specializing in Bengal's rich cultural heritage
- A professor of architecture, focusing on Odishan temples
Next steps
We hope the release of IndQA will inform and inspire new benchmark creation from the research community. IndQA style questions are especially valuable in languages or cultural domains that are poorly covered by existing AI benchmarks. Creating similar benchmarks to IndQA can help AI research labs learn more about languages and domains models struggle with today, and provide a north star for improvements in the future.
Original source Report a problem - Nov 3, 2025
- Parsed from source:Nov 3, 2025
- Detected by Releasebot:Nov 5, 2025
November 3, 2025
India gets 12 months of ChatGPT Go free for eligible new and existing users, redeemable on web or Android now; App Store option arrives next week. One redemption per account, payment method required. If you have Go, it may auto-apply at cycle end.
India: 12 Months of ChatGPT Go Free
Eligible customers in India can get now get 12 months of ChatGPT Go at no cost. new New users can redeem now on ChatGPT web or the Android app (Google Play). The Apple App Store option arrives next week - no promo code is required for redemption.
Available to users in India who are new, on the free plan, or are current ChatGPT Go subscribers - one redemption per account. Requires a payment method (credit card or UPI).
If you have an existing ChatGPT Go membership, we may be able to automatically add the promotion for you at the end of your current billing cycle - review ChatGPT Go Promotion (India) for more details.
Original source Report a problem - November 2025
- No date parsed from source.
- Detected by Releasebot:Nov 1, 2025
Credits for Flexible Usage for Codex and Sora
Today we’re introducing ways to purchase additional usage in products like Codex and Sora. If you hit your included limits, you can seamlessly buy more credits right in the Codex dashboard or buy more video generations in the Sora app to keep going. Learn more in our article: Using Credits for Flexible Usage in ChatGPT (Free/Go/Plus/Pro) & Sora.
Original source Report a problem - Oct 30, 2025
- Parsed from source:Oct 30, 2025
- Detected by Releasebot:Oct 31, 2025
Credits on ChatGPT Pro and Plus
Codex users on ChatGPT Plus and Pro can now use on-demand credits for more Codex usage beyond what’s included in your plan. Learn more.
Original source Report a problem - Oct 30, 2025
- Parsed from source:Oct 30, 2025
- Detected by Releasebot:Oct 31, 2025
- Modified by Releasebot:Nov 5, 2025
October 30, 2025
ChatGPT Go expands to 8 more European countries, boosting coverage to 98 and adding more messages, larger uploads, expanded image generation, data analysis, and longer memory across web, iOS, Android, macOS and Windows. New flexible credits for Codex and Sora let you buy more usage directly in dashboards.
ChatGPT Go expansion
We're excited to announce that ChatGPT Go, our low cost subscription plan, is now available in 8 additional countries in Europe, bringing total coverage to 98 countries. The new countries we added are Austria, Czech Republic, Denmark, Norway, Poland, Portugal, Spain and Sweden.
For an affordable price, ChatGPT Go provides everything included in the Free plan, and:
- More messages, larger file uploads, and expanded image generation
- Access to advanced data analysis
- Longer memory for more personalized responses
Available on web, mobile (iOS & Android), and desktop (macOS & Windows).
Learn more about ChatGPT Go.
Credits for Flexible Usage for Codex and Sora
Today we’re introducing ways to purchase additional usage in products like Codex and Sora. If you hit your included limits, you can seamlessly buy more credits right in the Codex dashboard or buy more video generations in the Sora app to keep going. Learn more in our article: Using Credits for Flexible Usage in ChatGPT (Free/Go/Plus/Pro) & Sora.
Original source Report a problem